SYMBOL INDEX (4424 symbols across 462 files)

FILE: TrackEval/scripts/run_rob_mots.py
  function rowify (line 128) | def rowify(d):

FILE: TrackEval/tests/test_metrics.py
  function no_confusion (line 7) | def no_confusion():
  function with_confusion (line 56) | def with_confusion():
  function split_tracks (line 107) | def split_tracks():
  function _from_dense (line 163) | def _from_dense(num_timesteps, num_gt_ids, num_tracker_ids, gt_present, ...
  function test_metric (line 207) | def test_metric(sequence_name, metric_name):

FILE: TrackEval/trackeval/_timing.py
  function time (line 11) | def time(f):

FILE: TrackEval/trackeval/baselines/baseline_utils.py
  function load_seq (line 12) | def load_seq(file_to_load):
  function threshold (line 80) | def threshold(tdata, thresh):
  function create_coco_mask (line 89) | def create_coco_mask(mask_rles, im_hs, im_ws):
  function mask_iou (line 96) | def mask_iou(mask_rles1, mask_rles2, im_hs, im_ws, do_ioa=0):
  function sort_by_score (line 115) | def sort_by_score(t_data):
  function mask_NMS (line 123) | def mask_NMS(t_data, nms_threshold=0.5, already_sorted=False):
  function non_overlap (line 151) | def non_overlap(t_data, already_sorted=False):
  function masks2boxes (line 186) | def masks2boxes(mask_rles, im_hs, im_ws):
  function box_iou (line 195) | def box_iou(bboxes1, bboxes2, box_format='xywh', do_ioa=False, do_giou=F...
  function match (line 247) | def match(match_scores):
  function write_seq (line 252) | def write_seq(output_data, out_file):
  function combine_classes (line 263) | def combine_classes(data):
  function save_as_png (line 288) | def save_as_png(t_data, out_file, im_h, im_w):
  function get_frame_size (line 313) | def get_frame_size(data):

FILE: TrackEval/trackeval/baselines/non_overlap.py
  function do_sequence (line 29) | def do_sequence(seq_file):

FILE: TrackEval/trackeval/baselines/stp.py
  function track_sequence (line 35) | def track_sequence(seq_file):

FILE: TrackEval/trackeval/baselines/thresholder.py
  function do_sequence (line 33) | def do_sequence(seq_file):

FILE: TrackEval/trackeval/baselines/vizualize.py
  function do_sequence (line 31) | def do_sequence(seq_file):

FILE: TrackEval/trackeval/datasets/_base_dataset.py
  class _BaseDataset (line 13) | class _BaseDataset(ABC):
    method __init__ (line 15) | def __init__(self):
    method get_default_dataset_config (line 28) | def get_default_dataset_config():
    method _load_raw_file (line 32) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 37) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 41) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):
    method get_class_name (line 47) | def get_class_name(cls):
    method get_name (line 50) | def get_name(self):
    method get_output_fol (line 53) | def get_output_fol(self, tracker):
    method get_display_name (line 56) | def get_display_name(self, tracker):
    method get_eval_info (line 62) | def get_eval_info(self):
    method get_raw_seq_data (line 67) | def get_raw_seq_data(self, tracker, seq):
    method _load_simple_text_file (line 105) | def _load_simple_text_file(file, time_col=0, id_col=None, remove_negat...
    method _calculate_mask_ious (line 215) | def _calculate_mask_ious(masks1, masks2, is_encoded=False, do_ioa=False):
    method _calculate_box_ious (line 248) | def _calculate_box_ious(bboxes1, bboxes2, box_format='xywh', do_ioa=Fa...
    method _calculate_euclidean_similarity (line 289) | def _calculate_euclidean_similarity(dets1, dets2, zero_distance=2.0):
    method _check_unique_ids (line 300) | def _check_unique_ids(data, after_preproc=False):

FILE: TrackEval/trackeval/datasets/bdd100k.py
  class BDD100K (line 12) | class BDD100K(_BaseDataset):
    method get_default_dataset_config (line 16) | def get_default_dataset_config():
    method __init__ (line 35) | def __init__(self, config=None):
    method get_display_name (line 95) | def get_display_name(self, tracker):
    method _load_raw_file (line 98) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 185) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 300) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):

FILE: TrackEval/trackeval/datasets/davis.py
  class DAVIS (line 10) | class DAVIS(_BaseDataset):
    method get_default_dataset_config (line 14) | def get_default_dataset_config():
    method __init__ (line 35) | def __init__(self, config=None):
    method _load_raw_file (line 109) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 177) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 274) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):

FILE: TrackEval/trackeval/datasets/head_tracking_challenge.py
  class HeadTrackingChallenge (line 12) | class HeadTrackingChallenge(_BaseDataset):
    method get_default_dataset_config (line 16) | def get_default_dataset_config():
    method __init__ (line 43) | def __init__(self, config=None):
    method get_display_name (line 126) | def get_display_name(self, tracker):
    method _get_seq_info (line 129) | def _get_seq_info(self):
    method _load_raw_file (line 172) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 294) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 457) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):

FILE: TrackEval/trackeval/datasets/kitti_2d_box.py
  class Kitti2DBox (line 12) | class Kitti2DBox(_BaseDataset):
    method get_default_dataset_config (line 16) | def get_default_dataset_config():
    method __init__ (line 34) | def __init__(self, config=None):
    method get_display_name (line 117) | def get_display_name(self, tracker):
    method _load_raw_file (line 120) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 238) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 387) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):

FILE: TrackEval/trackeval/datasets/kitti_mots.py
  class KittiMOTS (line 11) | class KittiMOTS(_BaseDataset):
    method get_default_dataset_config (line 15) | def get_default_dataset_config():
    method __init__ (line 37) | def __init__(self, config=None):
    method get_display_name (line 111) | def get_display_name(self, tracker):
    method _get_seq_info (line 114) | def _get_seq_info(self):
    method _load_raw_file (line 146) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 267) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 389) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):
    method _raise_index_error (line 394) | def _raise_index_error(is_gt, tracker, seq):
    method _raise_value_error (line 412) | def _raise_value_error(is_gt, tracker, seq):

FILE: TrackEval/trackeval/datasets/mot_challenge_2d_box.py
  class MotChallenge2DBox (line 12) | class MotChallenge2DBox(_BaseDataset):
    method get_default_dataset_config (line 16) | def get_default_dataset_config():
    method __init__ (line 43) | def __init__(self, config=None):
    method get_display_name (line 128) | def get_display_name(self, tracker):
    method _get_seq_info (line 131) | def _get_seq_info(self):
    method _load_raw_file (line 174) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 290) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 435) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):

FILE: TrackEval/trackeval/datasets/mots_challenge.py
  class MOTSChallenge (line 12) | class MOTSChallenge(_BaseDataset):
    method get_default_dataset_config (line 16) | def get_default_dataset_config():
    method __init__ (line 41) | def __init__(self, config=None):
    method get_display_name (line 121) | def get_display_name(self, tracker):
    method _get_seq_info (line 124) | def _get_seq_info(self):
    method _load_raw_file (line 167) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 288) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 409) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):
    method _raise_index_error (line 414) | def _raise_index_error(is_gt, tracker, seq):
    method _raise_value_error (line 432) | def _raise_value_error(is_gt, tracker, seq):

FILE: TrackEval/trackeval/datasets/rob_mots.py
  class RobMOTS (line 13) | class RobMOTS(_BaseDataset):
    method get_default_dataset_config (line 16) | def get_default_dataset_config():
    method __init__ (line 40) | def __init__(self, config=None):
    method get_name (line 129) | def get_name(self):
    method _get_seq_info (line 132) | def _get_seq_info(self):
    method get_display_name (line 162) | def get_display_name(self, tracker):
    method _load_raw_file (line 165) | def _load_raw_file(self, tracker, seq, is_gt):
    method _raise_index_error (line 265) | def _raise_index_error(is_gt, sub_benchmark, seq):
    method _raise_value_error (line 283) | def _raise_value_error(is_gt, sub_benchmark, seq):
    method get_preprocessed_seq_data (line 300) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 494) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):

FILE: TrackEval/trackeval/datasets/run_rob_mots.py
  function rowify (line 100) | def rowify(d):

FILE: TrackEval/trackeval/datasets/tao.py
  class TAO (line 13) | class TAO(_BaseDataset):
    method get_default_dataset_config (line 17) | def get_default_dataset_config():
    method __init__ (line 35) | def __init__(self, config=None):
    method get_display_name (line 139) | def get_display_name(self, tracker):
    method _load_raw_file (line 142) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 257) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 398) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):
    method _merge_categories (line 402) | def _merge_categories(self, annotations):
    method _compute_vid_mappings (line 417) | def _compute_vid_mappings(self, annotations):
    method _compute_image_to_timestep_mappings (line 486) | def _compute_image_to_timestep_mappings(self):
    method _limit_dets_per_image (line 503) | def _limit_dets_per_image(self, annotations):
    method _fill_video_ids_inplace (line 523) | def _fill_video_ids_inplace(self, annotations):
    method _make_track_ids_unique (line 538) | def _make_track_ids_unique(annotations):

FILE: TrackEval/trackeval/datasets/tao_ow.py
  class TAO_OW (line 13) | class TAO_OW(_BaseDataset):
    method get_default_dataset_config (line 17) | def get_default_dataset_config():
    method __init__ (line 36) | def __init__(self, config=None):
    method get_display_name (line 149) | def get_display_name(self, tracker):
    method _load_raw_file (line 152) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 272) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 413) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):
    method _merge_categories (line 417) | def _merge_categories(self, annotations):
    method _compute_vid_mappings (line 432) | def _compute_vid_mappings(self, annotations):
    method _compute_image_to_timestep_mappings (line 501) | def _compute_image_to_timestep_mappings(self):
    method _limit_dets_per_image (line 518) | def _limit_dets_per_image(self, annotations):
    method _fill_video_ids_inplace (line 538) | def _fill_video_ids_inplace(self, annotations):
    method _make_track_ids_unique (line 553) | def _make_track_ids_unique(annotations):
    method _split_known_unknown_distractor (line 583) | def _split_known_unknown_distractor(self):
    method _filter_gt_data (line 597) | def _filter_gt_data(self, raw_gt_data):

FILE: TrackEval/trackeval/datasets/youtube_vis.py
  class YouTubeVIS (line 10) | class YouTubeVIS(_BaseDataset):
    method get_default_dataset_config (line 14) | def get_default_dataset_config():
    method __init__ (line 32) | def __init__(self, config=None):
    method get_display_name (line 109) | def get_display_name(self, tracker):
    method _load_raw_file (line 112) | def _load_raw_file(self, tracker, seq, is_gt):
    method get_preprocessed_seq_data (line 199) | def get_preprocessed_seq_data(self, raw_data, cls):
    method _calculate_similarities (line 314) | def _calculate_similarities(self, gt_dets_t, tracker_dets_t):
    method _prepare_gt_annotations (line 318) | def _prepare_gt_annotations(self):
    method _get_tracker_seq_tracks (line 338) | def _get_tracker_seq_tracks(self, tracker, seq_id):

FILE: TrackEval/trackeval/eval.py
  class Evaluator (line 12) | class Evaluator:
    method get_default_eval_config (line 16) | def get_default_eval_config():
    method __init__ (line 39) | def __init__(self, config=None):
    method evaluate (line 49) | def evaluate(self, dataset_list, metrics_list):
  function eval_sequence (line 188) | def eval_sequence(seq, dataset, tracker, class_list, metrics_list, metri...

FILE: TrackEval/trackeval/metrics/_base_metric.py
  class _BaseMetric (line 8) | class _BaseMetric(ABC):
    method __init__ (line 10) | def __init__(self):
    method eval_sequence (line 26) | def eval_sequence(self, data):
    method combine_sequences (line 30) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 34) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 38) | def combine_classes_det_averaged(self, all_res):
    method plot_single_tracker_results (line 41) | def plot_single_tracker_results(self, all_res, tracker, output_folder,...
    method get_name (line 52) | def get_name(cls):
    method _combine_sum (line 56) | def _combine_sum(all_res, field):
    method _combine_weighted_av (line 61) | def _combine_weighted_av(all_res, field, comb_res, weight_field):
    method print_table (line 66) | def print_table(self, table_res, tracker, cls, output_fol=None):
    method _summary_row (line 87) | def _summary_row(self, results_):
    method _row_print (line 101) | def _row_print(out_file, *argv):
    method summary_results (line 113) | def summary_results(self, table_res):
    method detailed_results (line 117) | def detailed_results(self, table_res):
    method _detailed_row (line 136) | def _detailed_row(self, res):

FILE: TrackEval/trackeval/metrics/clear.py
  class CLEAR (line 8) | class CLEAR(_BaseMetric):
    method get_default_config (line 12) | def get_default_config():
    method __init__ (line 20) | def __init__(self, config=None):
    method eval_sequence (line 38) | def eval_sequence(self, data):
    method combine_sequences (line 131) | def combine_sequences(self, all_res):
    method combine_classes_det_averaged (line 139) | def combine_classes_det_averaged(self, all_res):
    method combine_classes_class_averaged (line 147) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method _compute_final_fields (line 167) | def _compute_final_fields(res):

FILE: TrackEval/trackeval/metrics/count.py
  class Count (line 6) | class Count(_BaseMetric):
    method __init__ (line 8) | def __init__(self, config=None):
    method eval_sequence (line 15) | def eval_sequence(self, data):
    method combine_sequences (line 25) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 32) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 39) | def combine_classes_det_averaged(self, all_res):

FILE: TrackEval/trackeval/metrics/hota.py
  class HOTA (line 9) | class HOTA(_BaseMetric):
    method __init__ (line 14) | def __init__(self, config=None):
    method eval_sequence (line 25) | def eval_sequence(self, data):
    method combine_sequences (line 119) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 131) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 153) | def combine_classes_det_averaged(self, all_res):
    method _compute_final_fields (line 166) | def _compute_final_fields(res):
    method plot_single_tracker_results (line 181) | def plot_single_tracker_results(self, table_res, tracker, cls, output_...

FILE: TrackEval/trackeval/metrics/identity.py
  class Identity (line 8) | class Identity(_BaseMetric):
    method get_default_config (line 12) | def get_default_config():
    method __init__ (line 20) | def __init__(self, config=None):
    method eval_sequence (line 32) | def eval_sequence(self, data):
    method combine_classes_class_averaged (line 91) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 111) | def combine_classes_det_averaged(self, all_res):
    method combine_sequences (line 119) | def combine_sequences(self, all_res):
    method _compute_final_fields (line 128) | def _compute_final_fields(res):

FILE: TrackEval/trackeval/metrics/ideucl.py
  class IDEucl (line 9) | class IDEucl(_BaseMetric):
    method get_default_config (line 13) | def get_default_config():
    method __init__ (line 21) | def __init__(self, config=None):
    method eval_sequence (line 33) | def eval_sequence(self, data):
    method combine_classes_class_averaged (line 88) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 102) | def combine_classes_det_averaged(self, all_res):
    method combine_sequences (line 110) | def combine_sequences(self, all_res):
    method _compute_centroid (line 120) | def _compute_centroid(box):
    method _compute_final_fields (line 130) | def _compute_final_fields(res, res_len):

FILE: TrackEval/trackeval/metrics/j_and_f.py
  class JAndF (line 10) | class JAndF(_BaseMetric):
    method __init__ (line 12) | def __init__(self, config=None):
    method eval_sequence (line 21) | def eval_sequence(self, data):
    method combine_sequences (line 124) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 131) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 140) | def combine_classes_det_averaged(self, all_res):
    method _seg2bmap (line 148) | def _seg2bmap(seg, width=None, height=None):
    method _compute_f (line 207) | def _compute_f(gt_data, tracker_data, tracker_data_id, gt_id, bound_th):
    method _compute_j (line 275) | def _compute_j(gt_data, tracker_data, num_gt_ids, num_tracker_ids, num...

FILE: TrackEval/trackeval/metrics/track_map.py
  class TrackMAP (line 9) | class TrackMAP(_BaseMetric):
    method get_default_metric_config (line 13) | def get_default_metric_config():
    method __init__ (line 33) | def __init__(self, config=None):
    method eval_sequence (line 62) | def eval_sequence(self, data):
    method combine_sequences (line 170) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 277) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 295) | def combine_classes_det_averaged(self, all_res):
    method _compute_track_ig_masks (line 312) | def _compute_track_ig_masks(self, num_ids, track_lengths=None, track_a...
    method _compute_bb_track_iou (line 350) | def _compute_bb_track_iou(dt_track, gt_track, boxformat='xywh'):
    method _compute_mask_track_iou (line 401) | def _compute_mask_track_iou(dt_track, gt_track):
    method _compute_track_ious (line 434) | def _compute_track_ious(dt, gt, iou_function='bbox', boxformat='xywh'):
    method _row_print (line 455) | def _row_print(*argv):

FILE: TrackEval/trackeval/metrics/vace.py
  class VACE (line 7) | class VACE(_BaseMetric):
    method __init__ (line 18) | def __init__(self, config=None):
    method eval_sequence (line 31) | def eval_sequence(self, data):
    method combine_classes_class_averaged (line 95) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 108) | def combine_classes_det_averaged(self, all_res):
    method combine_sequences (line 116) | def combine_sequences(self, all_res):
    method _compute_final_fields (line 125) | def _compute_final_fields(additive):

FILE: TrackEval/trackeval/plotting.py
  function plot_compare_trackers (line 7) | def plot_compare_trackers(tracker_folder, tracker_list, cls, output_fold...
  function get_default_plots_list (line 22) | def get_default_plots_list():
  function load_multiple_tracker_summaries (line 38) | def load_multiple_tracker_summaries(tracker_folder, tracker_list, cls):
  function create_comparison_plot (line 53) | def create_comparison_plot(data, out_loc, y_label, x_label, sort_label, ...
  function _get_boundaries (line 140) | def _get_boundaries(x_values, y_values, round_val):
  function geometric_mean (line 157) | def geometric_mean(x, y):
  function jaccard (line 161) | def jaccard(x, y):
  function multiplication (line 167) | def multiplication(x, y):
  function _plot_bg_contour (line 178) | def _plot_bg_contour(bg_function, plot_boundaries, gap_val):
  function _plot_pareto_optimal_lines (line 204) | def _plot_pareto_optimal_lines(x_values, y_values):

FILE: TrackEval/trackeval/utils.py
  function init_config (line 8) | def init_config(config, default_config, name=None):
  function update_config (line 23) | def update_config(config):
  function get_code_path (line 55) | def get_code_path():
  function validate_metrics_list (line 60) | def validate_metrics_list(metrics_list):
  function write_summary_results (line 77) | def write_summary_results(summaries, cls, output_folder):
  function write_detailed_results (line 108) | def write_detailed_results(details, cls, output_folder):
  function load_detail (line 124) | def load_detail(file):
  class TrackEvalException (line 144) | class TrackEvalException(Exception):

FILE: deploy/ONNXRuntime/onnx_inference.py
  function make_parser (line 17) | def make_parser():
  class Predictor (line 75) | class Predictor(object):
    method __init__ (line 76) | def __init__(self, args):
    method inference (line 83) | def inference(self, ori_img, timer):
  function imageflow_demo (line 110) | def imageflow_demo(predictor, args):

FILE: deploy/TensorRT/cpp/include/BYTETracker.h
  type Object (line 5) | struct Object
  function class (line 12) | class BYTETracker

FILE: deploy/TensorRT/cpp/include/STrack.h
  type TrackState (line 9) | enum TrackState { New = 0, Tracked, Lost, Removed }
  function class (line 11) | class STrack

FILE: deploy/TensorRT/cpp/include/dataType.h
  type Eigen (line 8) | typedef Eigen::Matrix<float, 1, 4, Eigen::RowMajor> DETECTBOX;
  type Eigen (line 9) | typedef Eigen::Matrix<float, -1, 4, Eigen::RowMajor> DETECTBOXSS;
  type Eigen (line 10) | typedef Eigen::Matrix<float, 1, 128, Eigen::RowMajor> FEATURE;
  type Eigen (line 11) | typedef Eigen::Matrix<float, Eigen::Dynamic, 128, Eigen::RowMajor> FEATU...
  type Eigen (line 16) | typedef Eigen::Matrix<float, 1, 8, Eigen::RowMajor> KAL_MEAN;
  type Eigen (line 17) | typedef Eigen::Matrix<float, 8, 8, Eigen::RowMajor> KAL_COVA;
  type Eigen (line 18) | typedef Eigen::Matrix<float, 1, 4, Eigen::RowMajor> KAL_HMEAN;
  type Eigen (line 19) | typedef Eigen::Matrix<float, 4, 4, Eigen::RowMajor> KAL_HCOVA;
  type TRACHER_MATCHD (line 29) | typedef struct t {
  type Eigen (line 36) | typedef Eigen::Matrix<float, -1, -1, Eigen::RowMajor> DYNAMICM;

FILE: deploy/TensorRT/cpp/include/kalmanFilter.h
  function namespace (line 5) | namespace byte_kalman

FILE: deploy/TensorRT/cpp/include/lapjv.h
  type int_t (line 53) | typedef signed int int_t;
  type uint_t (line 54) | typedef unsigned int uint_t;
  type cost_t (line 55) | typedef double cost_t;
  type boolean (line 56) | typedef char boolean;
  type fp_t (line 57) | typedef enum fp_t { FP_1 = 1, FP_2 = 2, FP_DYNAMIC = 3 } fp_t;

FILE: deploy/TensorRT/cpp/include/logging.h
  function class (line 31) | class LogStreamConsumerBuffer : public std::stringbuf
  function class (line 106) | class LogStreamConsumerBase
  function std (line 160) | static std::string severityPrefix(Severity severity)
  function TestResult (line 213) | enum class TestResult
  function LogStreamConsumer (line 447) | inline LogStreamConsumer LOG_VERBOSE(const Logger& logger)
  function LogStreamConsumer (line 459) | inline LogStreamConsumer LOG_INFO(const Logger& logger)
  function LogStreamConsumer (line 471) | inline LogStreamConsumer LOG_WARN(const Logger& logger)
  function LogStreamConsumer (line 483) | inline LogStreamConsumer LOG_ERROR(const Logger& logger)
  function LogStreamConsumer (line 496) | inline LogStreamConsumer LOG_FATAL(const Logger& logger)

FILE: deploy/TensorRT/cpp/src/bytetrack.cpp
  function Mat (line 38) | Mat static_resize(Mat& img) {
  type GridAndStride (line 50) | struct GridAndStride
  function generate_grids_and_stride (line 57) | static void generate_grids_and_stride(const int target_w, const int targ...
  function intersection_area (line 73) | static inline float intersection_area(const Object& a, const Object& b)
  function qsort_descent_inplace (line 79) | static void qsort_descent_inplace(vector<Object>& faceobjects, int left,...
  function qsort_descent_inplace (line 116) | static void qsort_descent_inplace(vector<Object>& objects)
  function nms_sorted_bboxes (line 124) | static void nms_sorted_bboxes(const vector<Object>& faceobjects, vector<...
  function generate_yolox_proposals (line 159) | static void generate_yolox_proposals(vector<GridAndStride> grid_strides,...
  function decode_outputs (line 228) | static void decode_outputs(float* prob, vector<Object>& objects, float s...
  function doInference (line 354) | void doInference(IExecutionContext& context, float* input, float* output...
  function main (line 391) | int main(int argc, char** argv) {

FILE: deploy/TensorRT/cpp/src/kalmanFilter.cpp
  type byte_kalman (line 4) | namespace byte_kalman
    function KAL_DATA (line 33) | KAL_DATA KalmanFilter::initiate(const DETECTBOX &measurement)
    function KAL_HDATA (line 86) | KAL_HDATA KalmanFilter::project(const KAL_MEAN &mean, const KAL_COVA &...
    function KAL_DATA (line 100) | KAL_DATA

FILE: deploy/TensorRT/cpp/src/lapjv.cpp
  function int_t (line 9) | int_t _ccrrt_dense(const uint_t n, cost_t *cost[],
  function int_t (line 76) | int_t _carr_dense(
  function uint_t (line 153) | uint_t _find_dense(const uint_t n, uint_t lo, cost_t *d, int_t *cols, in...
  function int_t (line 174) | int_t _scan_dense(const uint_t n, cost_t *cost[],
  function int_t (line 218) | int_t find_path_dense(
  function int_t (line 283) | int_t _ca_dense(
  function lapjv_internal (line 321) | int lapjv_internal(

FILE: deploy/TensorRT/cpp/src/utils.cpp
  function Scalar (line 425) | Scalar BYTETracker::get_color(int idx)

FILE: deploy/ncnn/cpp/include/BYTETracker.h
  type Object (line 5) | struct Object
  function class (line 12) | class BYTETracker

FILE: deploy/ncnn/cpp/include/STrack.h
  type TrackState (line 9) | enum TrackState { New = 0, Tracked, Lost, Removed }
  function class (line 11) | class STrack

FILE: deploy/ncnn/cpp/include/dataType.h
  type Eigen (line 8) | typedef Eigen::Matrix<float, 1, 4, Eigen::RowMajor> DETECTBOX;
  type Eigen (line 9) | typedef Eigen::Matrix<float, -1, 4, Eigen::RowMajor> DETECTBOXSS;
  type Eigen (line 10) | typedef Eigen::Matrix<float, 1, 128, Eigen::RowMajor> FEATURE;
  type Eigen (line 11) | typedef Eigen::Matrix<float, Eigen::Dynamic, 128, Eigen::RowMajor> FEATU...
  type Eigen (line 16) | typedef Eigen::Matrix<float, 1, 8, Eigen::RowMajor> KAL_MEAN;
  type Eigen (line 17) | typedef Eigen::Matrix<float, 8, 8, Eigen::RowMajor> KAL_COVA;
  type Eigen (line 18) | typedef Eigen::Matrix<float, 1, 4, Eigen::RowMajor> KAL_HMEAN;
  type Eigen (line 19) | typedef Eigen::Matrix<float, 4, 4, Eigen::RowMajor> KAL_HCOVA;
  type TRACHER_MATCHD (line 29) | typedef struct t {
  type Eigen (line 36) | typedef Eigen::Matrix<float, -1, -1, Eigen::RowMajor> DYNAMICM;

FILE: deploy/ncnn/cpp/include/kalmanFilter.h
  function namespace (line 5) | namespace byte_kalman

FILE: deploy/ncnn/cpp/include/lapjv.h
  type int_t (line 53) | typedef signed int int_t;
  type uint_t (line 54) | typedef unsigned int uint_t;
  type cost_t (line 55) | typedef double cost_t;
  type boolean (line 56) | typedef char boolean;
  type fp_t (line 57) | typedef enum fp_t { FP_1 = 1, FP_2 = 2, FP_DYNAMIC = 3 } fp_t;

FILE: deploy/ncnn/cpp/src/bytetrack.cpp
  function Mat (line 24) | Mat static_resize(Mat& img) {
  class YoloV5Focus (line 37) | class YoloV5Focus : public ncnn::Layer
    method YoloV5Focus (line 40) | YoloV5Focus()
    method forward (line 45) | virtual int forward(const ncnn::Mat& bottom_blob, ncnn::Mat& top_blob,...
  type GridAndStride (line 85) | struct GridAndStride
  function intersection_area (line 92) | static inline float intersection_area(const Object& a, const Object& b)
  function qsort_descent_inplace (line 98) | static void qsort_descent_inplace(std::vector<Object>& faceobjects, int ...
  function qsort_descent_inplace (line 135) | static void qsort_descent_inplace(std::vector<Object>& objects)
  function nms_sorted_bboxes (line 143) | static void nms_sorted_bboxes(const std::vector<Object>& faceobjects, st...
  function generate_grids_and_stride (line 177) | static void generate_grids_and_stride(const int target_w, const int targ...
  function generate_yolox_proposals (line 198) | static void generate_yolox_proposals(std::vector<GridAndStride> grid_str...
  function detect_yolox (line 245) | static int detect_yolox(ncnn::Mat& in_pad, std::vector<Object>& objects,...
  function main (line 297) | int main(int argc, char** argv)

FILE: deploy/ncnn/cpp/src/kalmanFilter.cpp
  type byte_kalman (line 4) | namespace byte_kalman
    function KAL_DATA (line 33) | KAL_DATA KalmanFilter::initiate(const DETECTBOX &measurement)
    function KAL_HDATA (line 86) | KAL_HDATA KalmanFilter::project(const KAL_MEAN &mean, const KAL_COVA &...
    function KAL_DATA (line 100) | KAL_DATA

FILE: deploy/ncnn/cpp/src/lapjv.cpp
  function int_t (line 9) | int_t _ccrrt_dense(const uint_t n, cost_t *cost[],
  function int_t (line 76) | int_t _carr_dense(
  function uint_t (line 153) | uint_t _find_dense(const uint_t n, uint_t lo, cost_t *d, int_t *cols, in...
  function int_t (line 174) | int_t _scan_dense(const uint_t n, cost_t *cost[],
  function int_t (line 218) | int_t find_path_dense(
  function int_t (line 283) | int_t _ca_dense(
  function lapjv_internal (line 321) | int lapjv_internal(

FILE: deploy/ncnn/cpp/src/utils.cpp
  function Scalar (line 425) | Scalar BYTETracker::get_color(int idx)

FILE: deploy/scripts/export_onnx.py
  function make_parser (line 14) | def make_parser():
  function main (line 50) | def main():

FILE: deploy/scripts/trt.py
  function make_parser (line 14) | def make_parser():
  function main (line 31) | def main():

FILE: exps/default/nano.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_model (line 22) | def get_model(self, sublinear=False):

FILE: exps/default/yolov3.py
  class Exp (line 12) | class Exp(MyExp):
    method __init__ (line 13) | def __init__(self):
    method get_model (line 19) | def get_model(self, sublinear=False):
    method get_data_loader (line 35) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):

FILE: exps/default/yolox_l.py
  class Exp (line 10) | class Exp(MyExp):
    method __init__ (line 11) | def __init__(self):

FILE: exps/default/yolox_m.py
  class Exp (line 10) | class Exp(MyExp):
    method __init__ (line 11) | def __init__(self):

FILE: exps/default/yolox_s.py
  class Exp (line 10) | class Exp(MyExp):
    method __init__ (line 11) | def __init__(self):

FILE: exps/default/yolox_tiny.py
  class Exp (line 10) | class Exp(MyExp):
    method __init__ (line 11) | def __init__(self):

FILE: exps/default/yolox_x.py
  class Exp (line 10) | class Exp(MyExp):
    method __init__ (line 11) | def __init__(self):

FILE: exps/example/mot/yolox_dancetrack_test.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 34) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 96) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 142) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_dancetrack_test_hybrid_sort.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 47) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 109) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 155) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_dancetrack_test_hybrid_sort_reid.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 55) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 117) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 163) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_dancetrack_val.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 34) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 96) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 142) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_dancetrack_val_hybrid_sort.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 48) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 110) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 156) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_dancetrack_val_hybrid_sort_reid.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 56) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 118) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 164) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_l_mix_det.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 126) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_m_mix_det.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 126) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_nano_mix_det.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_model (line 33) | def get_model(self, sublinear=False):
    method get_data_loader (line 52) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 114) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 146) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_s_mix_det.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 126) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_tiny_mix_det.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 33) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 95) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 127) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_ablation.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 127) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_ablation_hybrid_sort.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 45) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 107) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 140) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_ablation_hybrid_sort_reid.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 53) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 115) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 148) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_ch.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 126) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_det.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 127) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_det_hybrid_sort.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 45) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 107) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 140) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_det_hybrid_sort_reid.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 53) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 115) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 148) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_det_train.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 127) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_mot20_ch.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 33) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 95) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 128) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_mot20_ch_hybrid_sort.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 47) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 109) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 142) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_mot20_ch_hybrid_sort_reid.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 55) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 117) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 150) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_mot20_ch_train.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 33) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 95) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 128) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mix_mot20_ch_valhalf.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 33) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 95) | def get_eval_loader(self, batch_size, is_distributed, testdev=False, r...
    method get_evaluator (line 128) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mot17_ablation_half_train.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 126) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mot17_half.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 126) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: exps/example/mot/yolox_x_mot17_train.py
  class Exp (line 11) | class Exp(MyExp):
    method __init__ (line 12) | def __init__(self):
    method get_data_loader (line 32) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method get_eval_loader (line 94) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 126) | def get_evaluator(self, batch_size, is_distributed, testdev=False):

FILE: fast_reid/datasets/generate_cuhksysu_dance_patches.py
  function make_parser (line 10) | def make_parser():
  function generate_trajectories (line 19) | def generate_trajectories(file_path, GroundTrues):
  function main_dancetrack (line 44) | def main_dancetrack(args):
  function tlwh2xyxy (line 113) | def tlwh2xyxy(det, H, W):
  function save_patch (line 125) | def save_patch(img, det, id, save_path, seq=1, frame=1,):
  function main_cuhksysu (line 143) | def main_cuhksysu(args, id_offset, seq_offset=1000):

FILE: fast_reid/datasets/generate_mot_patches.py
  function generate_trajectories (line 9) | def generate_trajectories(file_path, GroundTrues):
  function make_parser (line 34) | def make_parser():
  function main (line 44) | def main(args):

FILE: fast_reid/demo/demo.py
  function setup_cfg (line 34) | def setup_cfg(args):
  function get_parser (line 44) | def get_parser():
  function postprocess (line 76) | def postprocess(features):

FILE: fast_reid/demo/predictor.py
  class FeatureExtractionDemo (line 23) | class FeatureExtractionDemo(object):
    method __init__ (line 24) | def __init__(self, cfg, parallel=False):
    method run_on_image (line 40) | def run_on_image(self, original_image):
    method run_on_loader (line 60) | def run_on_loader(self, data_loader):
  class AsyncPredictor (line 85) | class AsyncPredictor:
    class _StopToken (line 91) | class _StopToken:
    class _PredictWorker (line 94) | class _PredictWorker(mp.Process):
      method __init__ (line 95) | def __init__(self, cfg, task_queue, result_queue):
      method run (line 101) | def run(self):
    method __init__ (line 112) | def __init__(self, cfg, num_gpus: int = 1):
    method put (line 141) | def put(self, image):
    method get (line 145) | def get(self):
    method __len__ (line 161) | def __len__(self):
    method __call__ (line 164) | def __call__(self, image):
    method shutdown (line 168) | def shutdown(self):
    method default_buffer_size (line 173) | def default_buffer_size(self):

FILE: fast_reid/demo/visualize_result.py
  function setup_cfg (line 37) | def setup_cfg(args):
  function get_parser (line 47) | def get_parser():

FILE: fast_reid/docs/conf.py
  class GithubURLDomain (line 30) | class GithubURLDomain(Domain):
    method resolve_any_xref (line 39) | def resolve_any_xref(self, env, fromdocname, builder, target, node, co...
  function autodoc_skip_member (line 260) | def autodoc_skip_member(app, what, name, obj, skip, options):
  function paper_ref_role (line 314) | def paper_ref_role(
  function setup (line 345) | def setup(app):

FILE: fast_reid/fast_reid_interfece.py
  function setup_cfg (line 16) | def setup_cfg(config_file, opts):
  function postprocess (line 28) | def postprocess(features):
  function preprocess (line 35) | def preprocess(image, input_size):
  class FastReIDInterface (line 52) | class FastReIDInterface:
    method __init__ (line 53) | def __init__(self, config_file, weights_path, device, batch_size=16):
    method inference (line 76) | def inference(self, image, detections):

FILE: fast_reid/fastreid/config/config.py
  class CfgNode (line 21) | class CfgNode(_CfgNode):
    method load_yaml_with_base (line 40) | def load_yaml_with_base(filename: str, allow_unsafe: bool = False):
    method merge_from_file (line 100) | def merge_from_file(self, cfg_filename: str, allow_unsafe: bool = False):
    method merge_from_other_cfg (line 115) | def merge_from_other_cfg(self, cfg_other):
    method merge_from_list (line 125) | def merge_from_list(self, cfg_list: list):
    method __setattr__ (line 136) | def __setattr__(self, name: str, val: Any):
  function get_cfg (line 156) | def get_cfg() -> CfgNode:
  function set_global_cfg (line 167) | def set_global_cfg(cfg: CfgNode) -> None:
  function configurable (line 184) | def configurable(init_func=None, *, from_config=None):
  function _get_args_from_config (line 274) | def _get_args_from_config(from_config_func, *args, **kwargs):
  function _called_with_cfg (line 307) | def _called_with_cfg(*args, **kwargs):

FILE: fast_reid/fastreid/data/build.py
  function _train_loader_from_config (line 32) | def _train_loader_from_config(cfg, *, train_set=None, transforms=None, s...
  function build_reid_train_loader (line 77) | def build_reid_train_loader(
  function _test_loader_from_config (line 104) | def _test_loader_from_config(cfg, *, dataset_name=None, test_set=None, n...
  function build_reid_test_loader (line 127) | def build_reid_test_loader(test_set, test_batch_size, num_query, num_wor...
  function trivial_batch_collator (line 164) | def trivial_batch_collator(batch):
  function fast_batch_collator (line 171) | def fast_batch_collator(batched_inputs):

FILE: fast_reid/fastreid/data/common.py
  class CommDataset (line 12) | class CommDataset(Dataset):
    method __init__ (line 15) | def __init__(self, img_items, transform=None, relabel=True):
    method __len__ (line 32) | def __len__(self):
    method __getitem__ (line 35) | def __getitem__(self, index):
    method num_classes (line 53) | def num_classes(self):
    method num_cameras (line 57) | def num_cameras(self):

FILE: fast_reid/fastreid/data/data_utils.py
  function read_image (line 17) | def read_image(file_name, format=None):
  class BackgroundGenerator (line 82) | class BackgroundGenerator(threading.Thread):
    method __init__ (line 91) | def __init__(self, generator, local_rank, max_prefetch=10):
    method run (line 126) | def run(self):
    method next (line 134) | def next(self):
    method __next__ (line 141) | def __next__(self):
    method __iter__ (line 144) | def __iter__(self):
  class DataLoaderX (line 148) | class DataLoaderX(DataLoader):
    method __init__ (line 149) | def __init__(self, local_rank, **kwargs):
    method __iter__ (line 156) | def __iter__(self):
    method _shutdown_background_thread (line 162) | def _shutdown_background_thread(self):
    method preload (line 178) | def preload(self):
    method __next__ (line 189) | def __next__(self):
    method shutdown (line 200) | def shutdown(self):

FILE: fast_reid/fastreid/data/datasets/AirportALERT.py
  class AirportALERT (line 16) | class AirportALERT(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 35) | def process_train(self, dir_path, train_file):

FILE: fast_reid/fastreid/data/datasets/bases.py
  class Dataset (line 17) | class Dataset(object):
    method __init__ (line 33) | def __init__(self, train, query, gallery, transform=None, mode='train',
    method train (line 57) | def train(self):
    method query (line 63) | def query(self):
    method gallery (line 69) | def gallery(self):
    method __getitem__ (line 74) | def __getitem__(self, index):
    method __len__ (line 77) | def __len__(self):
    method __radd__ (line 80) | def __radd__(self, other):
    method parse_data (line 87) | def parse_data(self, data):
    method get_num_pids (line 100) | def get_num_pids(self, data):
    method get_num_cams (line 104) | def get_num_cams(self, data):
    method show_summary (line 108) | def show_summary(self):
    method combine_all (line 112) | def combine_all(self):
    method check_before_run (line 129) | def check_before_run(self, required_files):
  class ImageDataset (line 142) | class ImageDataset(Dataset):
    method show_train (line 151) | def show_train(self):
    method show_test (line 166) | def show_test(self):

FILE: fast_reid/fastreid/data/datasets/caviara.py
  class CAVIARa (line 17) | class CAVIARa(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/cuhk03.py
  class CUHK03 (line 16) | class CUHK03(ImageDataset):
    method __init__ (line 34) | def __init__(self, root='datasets', split_id=0, cuhk03_labeled=True, c...
    method preprocess_split (line 88) | def preprocess_split(self):

FILE: fast_reid/fastreid/data/datasets/cuhksysu.py
  class CUHKSYSU (line 18) | class CUHKSYSU(ImageDataset):
    method __init__ (line 30) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 67) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/cuhksysu_dancetrack.py
  class CUHKSYSU_DanceTrack (line 18) | class CUHKSYSU_DanceTrack(ImageDataset):
    method __init__ (line 30) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 67) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/cuhksysu_mot17.py
  class CUHKSYSU_MOT17 (line 18) | class CUHKSYSU_MOT17(ImageDataset):
    method __init__ (line 30) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 67) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/cuhksysu_mot20.py
  class CUHKSYSU_MOT20 (line 18) | class CUHKSYSU_MOT20(ImageDataset):
    method __init__ (line 30) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 67) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/dancetrack.py
  class DanceTrack (line 18) | class DanceTrack(ImageDataset):
    method __init__ (line 30) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 67) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/dukemtmcreid.py
  class DukeMTMC (line 16) | class DukeMTMC(ImageDataset):
    method __init__ (line 34) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 56) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/grid.py
  class GRID (line 17) | class GRID(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/iLIDS.py
  class iLIDS (line 17) | class iLIDS(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/lpw.py
  class LPW (line 17) | class LPW(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/market1501.py
  class Market1501 (line 17) | class Market1501(ImageDataset):
    method __init__ (line 34) | def __init__(self, root='datasets', market1501_500k=False, **kwargs):
    method process_dir (line 72) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/mot17.py
  class MOT17 (line 18) | class MOT17(ImageDataset):
    method __init__ (line 35) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 72) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/mot20.py
  class MOT20 (line 17) | class MOT20(ImageDataset):
    method __init__ (line 34) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 71) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/mot20_.py
  class Market1501 (line 17) | class Market1501(ImageDataset):
    method __init__ (line 34) | def __init__(self, root='datasets', market1501_500k=False, **kwargs):
    method process_dir (line 72) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/msmt17.py
  class MSMT17 (line 33) | class MSMT17(ImageDataset):
    method __init__ (line 48) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 98) | def process_dir(self, dir_path, list_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/pes3d.py
  class PeS3D (line 17) | class PeS3D(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/pku.py
  class PKU (line 17) | class PKU(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/prai.py
  class PRAI (line 17) | class PRAI(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/prid.py
  class PRID (line 16) | class PRID(ImageDataset):
    method __init__ (line 22) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 33) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/saivt.py
  class SAIVT (line 17) | class SAIVT(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/sensereid.py
  class SenseReID (line 17) | class SenseReID(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/shinpuhkan.py
  class Shinpuhkan (line 16) | class Shinpuhkan(ImageDataset):
    method __init__ (line 22) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 33) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/sysu_mm.py
  class SYSU_mm (line 17) | class SYSU_mm(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/thermalworld.py
  class Thermalworld (line 17) | class Thermalworld(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 34) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/vehicleid.py
  class VehicleID (line 15) | class VehicleID(ImageDataset):
    method __init__ (line 30) | def __init__(self, root='datasets', test_list='', **kwargs):
    method process_dir (line 53) | def process_dir(self, list_file, is_train=True):
  class SmallVehicleID (line 85) | class SmallVehicleID(VehicleID):
    method __init__ (line 92) | def __init__(self, root='datasets', **kwargs):
  class MediumVehicleID (line 100) | class MediumVehicleID(VehicleID):
    method __init__ (line 107) | def __init__(self, root='datasets', **kwargs):
  class LargeVehicleID (line 115) | class LargeVehicleID(VehicleID):
    method __init__ (line 122) | def __init__(self, root='datasets', **kwargs):

FILE: fast_reid/fastreid/data/datasets/veri.py
  class VeRi (line 16) | class VeRi(ImageDataset):
    method __init__ (line 32) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 53) | def process_dir(self, dir_path, is_train=True):

FILE: fast_reid/fastreid/data/datasets/veriwild.py
  class VeRiWild (line 14) | class VeRiWild(ImageDataset):
    method __init__ (line 29) | def __init__(self, root='datasets', query_list='', gallery_list='', **...
    method process_dir (line 59) | def process_dir(self, img_list, is_train=True):
    method process_vehicle (line 76) | def process_vehicle(self, vehicle_info):
  class SmallVeRiWild (line 96) | class SmallVeRiWild(VeRiWild):
    method __init__ (line 103) | def __init__(self, root='datasets', **kwargs):
  class MediumVeRiWild (line 112) | class MediumVeRiWild(VeRiWild):
    method __init__ (line 119) | def __init__(self, root='datasets', **kwargs):
  class LargeVeRiWild (line 128) | class LargeVeRiWild(VeRiWild):
    method __init__ (line 135) | def __init__(self, root='datasets', **kwargs):

FILE: fast_reid/fastreid/data/datasets/viper.py
  class VIPeR (line 17) | class VIPeR(ImageDataset):
    method __init__ (line 21) | def __init__(self, root='datasets', **kwargs):
    method process_train (line 32) | def process_train(self, train_path):

FILE: fast_reid/fastreid/data/datasets/wildtracker.py
  class WildTrackCrop (line 15) | class WildTrackCrop(ImageDataset):
    method __init__ (line 33) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 45) | def process_dir(self, dir_path):

FILE: fast_reid/fastreid/data/samplers/data_sampler.py
  class TrainingSampler (line 15) | class TrainingSampler(Sampler):
    method __init__ (line 26) | def __init__(self, size: int, shuffle: bool = True, seed: Optional[int...
    method __iter__ (line 45) | def __iter__(self):
    method _infinite_indices (line 49) | def _infinite_indices(self):
  class InferenceSampler (line 58) | class InferenceSampler(Sampler):
    method __init__ (line 66) | def __init__(self, size: int):
    method __iter__ (line 81) | def __iter__(self):
    method __len__ (line 84) | def __len__(self):

FILE: fast_reid/fastreid/data/samplers/imbalance_sampler.py
  class ImbalancedDatasetSampler (line 21) | class ImbalancedDatasetSampler(Sampler):
    method __init__ (line 28) | def __init__(self, data_source: List, size: int = None, seed: Optional...
    method _get_label (line 53) | def _get_label(self, dataset, idx):
    method __iter__ (line 59) | def __iter__(self):
    method _infinite_indices (line 63) | def _infinite_indices(self):

FILE: fast_reid/fastreid/data/samplers/triplet_sampler.py
  function no_index (line 18) | def no_index(a, b):
  function reorder_index (line 23) | def reorder_index(batch_indices, world_size):
  class BalancedIdentitySampler (line 41) | class BalancedIdentitySampler(Sampler):
    method __init__ (line 42) | def __init__(self, data_source: List, mini_batch_size: int, num_instan...
    method __iter__ (line 72) | def __iter__(self):
    method _infinite_indices (line 76) | def _infinite_indices(self):
  class SetReWeightSampler (line 122) | class SetReWeightSampler(Sampler):
    method __init__ (line 123) | def __init__(self, data_source: str, mini_batch_size: int, num_instanc...
    method __iter__ (line 173) | def __iter__(self):
    method _infinite_indices (line 177) | def _infinite_indices(self):
  class NaiveIdentitySampler (line 198) | class NaiveIdentitySampler(Sampler):
    method __init__ (line 208) | def __init__(self, data_source: str, mini_batch_size: int, num_instanc...
    method __iter__ (line 230) | def __iter__(self):
    method _infinite_indices (line 234) | def _infinite_indices(self):

FILE: fast_reid/fastreid/data/transforms/autoaugment.py
  function _interpolation (line 45) | def _interpolation(kwargs):
  function _check_args_tf (line 53) | def _check_args_tf(kwargs):
  function shear_x (line 59) | def shear_x(img, factor, **kwargs):
  function shear_y (line 64) | def shear_y(img, factor, **kwargs):
  function translate_x_rel (line 69) | def translate_x_rel(img, pct, **kwargs):
  function translate_y_rel (line 75) | def translate_y_rel(img, pct, **kwargs):
  function translate_x_abs (line 81) | def translate_x_abs(img, pixels, **kwargs):
  function translate_y_abs (line 86) | def translate_y_abs(img, pixels, **kwargs):
  function rotate (line 91) | def rotate(img, degrees, **kwargs):
  function auto_contrast (line 123) | def auto_contrast(img, **__):
  function invert (line 127) | def invert(img, **__):
  function equalize (line 131) | def equalize(img, **__):
  function solarize (line 135) | def solarize(img, thresh, **__):
  function solarize_add (line 139) | def solarize_add(img, add, thresh=128, **__):
  function posterize (line 154) | def posterize(img, bits_to_keep, **__):
  function contrast (line 160) | def contrast(img, factor, **__):
  function color (line 164) | def color(img, factor, **__):
  function brightness (line 168) | def brightness(img, factor, **__):
  function sharpness (line 172) | def sharpness(img, factor, **__):
  function _randomly_negate (line 176) | def _randomly_negate(v):
  function _rotate_level_to_arg (line 181) | def _rotate_level_to_arg(level, _hparams):
  function _enhance_level_to_arg (line 188) | def _enhance_level_to_arg(level, _hparams):
  function _enhance_increasing_level_to_arg (line 193) | def _enhance_increasing_level_to_arg(level, _hparams):
  function _shear_level_to_arg (line 201) | def _shear_level_to_arg(level, _hparams):
  function _translate_abs_level_to_arg (line 208) | def _translate_abs_level_to_arg(level, hparams):
  function _translate_rel_level_to_arg (line 215) | def _translate_rel_level_to_arg(level, hparams):
  function _posterize_level_to_arg (line 223) | def _posterize_level_to_arg(level, _hparams):
  function _posterize_increasing_level_to_arg (line 230) | def _posterize_increasing_level_to_arg(level, hparams):
  function _posterize_original_level_to_arg (line 237) | def _posterize_original_level_to_arg(level, _hparams):
  function _solarize_level_to_arg (line 244) | def _solarize_level_to_arg(level, _hparams):
  function _solarize_increasing_level_to_arg (line 250) | def _solarize_increasing_level_to_arg(level, _hparams):
  function _solarize_add_level_to_arg (line 256) | def _solarize_add_level_to_arg(level, _hparams):
  class AugmentOp (line 317) | class AugmentOp:
    method __init__ (line 319) | def __init__(self, name, prob=0.5, magnitude=10, hparams=None):
    method __call__ (line 337) | def __call__(self, img):
  function auto_augment_policy_v0 (line 348) | def auto_augment_policy_v0(hparams):
  function auto_augment_policy_v0r (line 381) | def auto_augment_policy_v0r(hparams):
  function auto_augment_policy_original (line 415) | def auto_augment_policy_original(hparams):
  function auto_augment_policy_originalr (line 448) | def auto_augment_policy_originalr(hparams):
  function auto_augment_policy (line 481) | def auto_augment_policy(name="original"):
  class AutoAugment (line 495) | class AutoAugment:
    method __init__ (line 497) | def __init__(self):
    method __call__ (line 500) | def __call__(self, img):
  function auto_augment_transform (line 507) | def auto_augment_transform(config_str, hparams):
  function _select_rand_weights (line 594) | def _select_rand_weights(weight_idx=0, transforms=None):
  function rand_augment_ops (line 603) | def rand_augment_ops(magnitude=10, hparams=None, transforms=None):
  class RandAugment (line 610) | class RandAugment:
    method __init__ (line 611) | def __init__(self, ops, num_layers=2, choice_weights=None):
    method __call__ (line 616) | def __call__(self, img):
  function rand_augment_transform (line 625) | def rand_augment_transform(config_str, hparams):
  function augmix_ops (line 689) | def augmix_ops(magnitude=10, hparams=None, transforms=None):
  class AugMixAugment (line 696) | class AugMixAugment:
    method __init__ (line 703) | def __init__(self, ops, alpha=1., width=3, depth=-1, blended=False):
    method _calc_blended_weights (line 710) | def _calc_blended_weights(self, ws, m):
    method _apply_blended (line 720) | def _apply_blended(self, img, mixing_weights, m):
    method _apply_basic (line 736) | def _apply_basic(self, img, mixing_weights, m):
    method __call__ (line 753) | def __call__(self, img):
  function augment_and_mix_transform (line 763) | def augment_and_mix_transform(config_str, hparams):

FILE: fast_reid/fastreid/data/transforms/build.py
  function build_transforms (line 13) | def build_transforms(cfg, is_train=True):

FILE: fast_reid/fastreid/data/transforms/functional.py
  function to_tensor (line 12) | def to_tensor(pic):
  function int_parameter (line 64) | def int_parameter(level, maxval):
  function float_parameter (line 76) | def float_parameter(level, maxval):
  function sample_level (line 88) | def sample_level(n):
  function autocontrast (line 92) | def autocontrast(pil_img, *args):
  function equalize (line 96) | def equalize(pil_img, *args):
  function posterize (line 100) | def posterize(pil_img, level, *args):
  function rotate (line 105) | def rotate(pil_img, level, *args):
  function solarize (line 112) | def solarize(pil_img, level, *args):
  function shear_x (line 117) | def shear_x(pil_img, level):
  function shear_y (line 126) | def shear_y(pil_img, level):
  function translate_x (line 135) | def translate_x(pil_img, level):
  function translate_y (line 144) | def translate_y(pil_img, level):
  function color (line 154) | def color(pil_img, level, *args):
  function contrast (line 160) | def contrast(pil_img, level, *args):
  function brightness (line 166) | def brightness(pil_img, level, *args):
  function sharpness (line 172) | def sharpness(pil_img, level, *args):

FILE: fast_reid/fastreid/data/transforms/transforms.py
  class ToTensor (line 19) | class ToTensor(object):
    method __call__ (line 30) | def __call__(self, pic):
    method __repr__ (line 40) | def __repr__(self):
  class RandomPatch (line 44) | class RandomPatch(object):
    method __init__ (line 57) | def __init__(self, prob_happen=0.5, pool_capacity=50000, min_sample_si...
    method generate_wh (line 71) | def generate_wh(self, W, H):
    method transform_patch (line 82) | def transform_patch(self, patch):
    method __call__ (line 87) | def __call__(self, img):
  class AugMix (line 115) | class AugMix(object):
    method __init__ (line 119) | def __init__(self, prob=0.5, aug_prob_coeff=0.1, mixture_width=3, mixt...
    method __call__ (line 137) | def __call__(self, image):

FILE: fast_reid/fastreid/engine/defaults.py
  function default_argument_parser (line 38) | def default_argument_parser():
  function default_setup (line 72) | def default_setup(cfg, args):
  class DefaultPredictor (line 119) | class DefaultPredictor:
    method __init__ (line 135) | def __init__(self, cfg):
    method __call__ (line 144) | def __call__(self, image):
  class DefaultTrainer (line 157) | class DefaultTrainer(TrainerBase):
    method __init__ (line 190) | def __init__(self, cfg):
    method resume_or_load (line 243) | def resume_or_load(self, resume=True):
    method build_hooks (line 264) | def build_hooks(self):
    method build_writers (line 319) | def build_writers(self):
    method train (line 344) | def train(self):
    method run_step (line 357) | def run_step(self):
    method build_model (line 362) | def build_model(cls, cfg):
    method build_optimizer (line 375) | def build_optimizer(cls, cfg, model):
    method build_lr_scheduler (line 385) | def build_lr_scheduler(cls, cfg, optimizer, iters_per_epoch):
    method build_train_loader (line 393) | def build_train_loader(cls, cfg):
    method build_test_loader (line 405) | def build_test_loader(cls, cfg, dataset_name):
    method build_evaluator (line 415) | def build_evaluator(cls, cfg, dataset_name, output_dir=None):
    method test (line 420) | def test(cls, cfg, model):
    method auto_scale_hyperparams (line 460) | def auto_scale_hyperparams(cfg, num_classes):

FILE: fast_reid/fastreid/engine/hooks.py
  class CallbackHook (line 43) | class CallbackHook(HookBase):
    method __init__ (line 48) | def __init__(self, *, before_train=None, after_train=None, before_epoc...
    method before_train (line 60) | def before_train(self):
    method after_train (line 64) | def after_train(self):
    method before_epoch (line 72) | def before_epoch(self):
    method after_epoch (line 76) | def after_epoch(self):
    method before_step (line 80) | def before_step(self):
    method after_step (line 84) | def after_step(self):
  class IterationTimer (line 89) | class IterationTimer(HookBase):
    method __init__ (line 100) | def __init__(self, warmup_iter=3):
    method before_train (line 109) | def before_train(self):
    method after_train (line 114) | def after_train(self):
    method before_step (line 140) | def before_step(self):
    method after_step (line 144) | def after_step(self):
  class PeriodicWriter (line 157) | class PeriodicWriter(HookBase):
    method __init__ (line 163) | def __init__(self, writers, period=20):
    method after_step (line 174) | def after_step(self):
    method after_epoch (line 181) | def after_epoch(self):
    method after_train (line 185) | def after_train(self):
  class PeriodicCheckpointer (line 190) | class PeriodicCheckpointer(_PeriodicCheckpointer, HookBase):
    method before_train (line 199) | def before_train(self):
    method after_epoch (line 206) | def after_epoch(self):
  class LRScheduler (line 215) | class LRScheduler(HookBase):
    method __init__ (line 221) | def __init__(self, optimizer, scheduler):
    method before_step (line 250) | def before_step(self):
    method after_step (line 254) | def after_step(self):
    method after_epoch (line 263) | def after_epoch(self):
  class AutogradProfiler (line 270) | class AutogradProfiler(HookBase):
    method __init__ (line 290) | def __init__(self, enable_predicate, output_dir, *, use_cuda=True):
    method before_step (line 303) | def before_step(self):
    method after_step (line 310) | def after_step(self):
  class EvalHook (line 330) | class EvalHook(HookBase):
    method __init__ (line 336) | def __init__(self, eval_period, eval_function):
    method _do_eval (line 350) | def _do_eval(self):
    method after_epoch (line 374) | def after_epoch(self):
    method after_train (line 379) | def after_train(self):
  class PreciseBN (line 389) | class PreciseBN(HookBase):
    method __init__ (line 398) | def __init__(self, model, data_loader, num_iter):
    method after_epoch (line 424) | def after_epoch(self):
    method update_stats (line 430) | def update_stats(self):
  class LayerFreeze (line 457) | class LayerFreeze(HookBase):
    method __init__ (line 458) | def __init__(self, model, freeze_layers, freeze_iters):
    method before_step (line 469) | def before_step(self):
    method freeze_specific_layer (line 478) | def freeze_specific_layer(self):
    method open_all_layer (line 492) | def open_all_layer(self):
  class SWA (line 503) | class SWA(HookBase):
    method __init__ (line 504) | def __init__(self, swa_start: int, swa_freq: int, swa_lr_factor: float...
    method before_step (line 511) | def before_step(self):
    method after_step (line 525) | def after_step(self):

FILE: fast_reid/fastreid/engine/launch.py
  function _find_free_port (line 22) | def _find_free_port():
  function launch (line 34) | def launch(main_func, num_gpus_per_machine, num_machines=1, machine_rank...
  function _distributed_worker (line 74) | def _distributed_worker(

FILE: fast_reid/fastreid/engine/train_loop.py
  class HookBase (line 25) | class HookBase:
    method before_train (line 56) | def before_train(self):
    method after_train (line 62) | def after_train(self):
    method before_epoch (line 68) | def before_epoch(self):
    method after_epoch (line 74) | def after_epoch(self):
    method before_step (line 80) | def before_step(self):
    method after_step (line 86) | def after_step(self):
  class TrainerBase (line 93) | class TrainerBase:
    method __init__ (line 108) | def __init__(self):
    method register_hooks (line 111) | def register_hooks(self, hooks):
    method train (line 128) | def train(self, start_epoch: int, max_epoch: int, iters_per_epoch: int):
    method before_train (line 158) | def before_train(self):
    method after_train (line 162) | def after_train(self):
    method before_epoch (line 167) | def before_epoch(self):
    method before_step (line 173) | def before_step(self):
    method after_step (line 179) | def after_step(self):
    method after_epoch (line 183) | def after_epoch(self):
    method run_step (line 187) | def run_step(self):
  class SimpleTrainer (line 191) | class SimpleTrainer(TrainerBase):
    method __init__ (line 204) | def __init__(self, model, data_loader, optimizer, param_wrapper):
    method run_step (line 228) | def run_step(self):
    method _write_metrics (line 265) | def _write_metrics(self, loss_dict: Dict[str, torch.Tensor], data_time...
  class AMPTrainer (line 307) | class AMPTrainer(SimpleTrainer):
    method __init__ (line 313) | def __init__(self, model, data_loader, optimizer, param_wrapper, grad_...
    method run_step (line 333) | def run_step(self):

FILE: fast_reid/fastreid/evaluation/clas_evaluator.py
  function accuracy (line 20) | def accuracy(output, target, topk=(1,)):
  class ClasEvaluator (line 37) | class ClasEvaluator(DatasetEvaluator):
    method __init__ (line 38) | def __init__(self, cfg, output_dir=None):
    method reset (line 45) | def reset(self):
    method process (line 48) | def process(self, inputs, outputs):
    method evaluate (line 58) | def evaluate(self):

FILE: fast_reid/fastreid/evaluation/evaluator.py
  class DatasetEvaluator (line 13) | class DatasetEvaluator:
    method reset (line 22) | def reset(self):
    method preprocess_inputs (line 29) | def preprocess_inputs(self, inputs):
    method process (line 32) | def process(self, inputs, outputs):
    method evaluate (line 41) | def evaluate(self):
  function inference_on_dataset (line 82) | def inference_on_dataset(model, data_loader, evaluator, flip_test=False):
  function inference_context (line 166) | def inference_context(model):

FILE: fast_reid/fastreid/evaluation/query_expansion.py
  function aqe (line 15) | def aqe(query_feat: torch.tensor, gallery_feat: torch.tensor,

FILE: fast_reid/fastreid/evaluation/rank.py
  function eval_cuhk03 (line 20) | def eval_cuhk03(distmat, q_pids, g_pids, q_camids, g_camids, max_rank):
  function eval_market1501 (line 99) | def eval_market1501(distmat, q_pids, g_pids, q_camids, g_camids, max_rank):
  function evaluate_py (line 162) | def evaluate_py(distmat, q_pids, g_pids, q_camids, g_camids, max_rank, u...
  function evaluate_rank (line 169) | def evaluate_rank(

FILE: fast_reid/fastreid/evaluation/rank_cylib/__init__.py
  function compile_helper (line 8) | def compile_helper():

FILE: fast_reid/fastreid/evaluation/rank_cylib/rank_cy.c
  function CYTHON_INLINE (line 404) | static CYTHON_INLINE PyCodeObject* __Pyx_PyCode_New(int a, int k, int l,...
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  function PyObject (line 3060) | static PyObject *__pyx_pw_7rank_cy_1evaluate_cy(PyObject *__pyx_self, Py...
  function PyObject (line 3181) | static PyObject *__pyx_pf_7rank_cy_evaluate_cy(CYTHON_UNUSED PyObject *_...
  function PyObject (line 3219) | static PyObject *__pyx_f_7rank_cy_eval_cuhk03_cy(__Pyx_memviewslice __py...
  function PyObject (line 4953) | static PyObject *__pyx_pw_7rank_cy_3eval_cuhk03_cy(PyObject *__pyx_self,...
  function PyObject (line 5059) | static PyObject *__pyx_pf_7rank_cy_2eval_cuhk03_cy(CYTHON_UNUSED PyObjec...
  function PyObject (line 5104) | static PyObject *__pyx_f_7rank_cy_eval_market1501_cy(__Pyx_memviewslice ...
  function PyObject (line 6421) | static PyObject *__pyx_pw_7rank_cy_5eval_market1501_cy(PyObject *__pyx_s...
  function PyObject (line 6527) | static PyObject *__pyx_pf_7rank_cy_4eval_market1501_cy(CYTHON_UNUSED PyO...
  function __pyx_fuse_3__pyx_f_7rank_cy_function_cumsum (line 6571) | static void __pyx_fuse_3__pyx_f_7rank_cy_function_cumsum(__Pyx_memviewsl...
  function CYTHON_INLINE (line 6635) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyOb...
  function CYTHON_INLINE (line 6685) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyOb...
  function CYTHON_INLINE (line 6735) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyOb...
  function CYTHON_INLINE (line 6785) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyOb...
  function CYTHON_INLINE (line 6835) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyOb...
  function CYTHON_INLINE (line 6885) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_D...
  function CYTHON_INLINE (line 6959) | static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *_...
  function CYTHON_INLINE (line 7001) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObje...
  function CYTHON_INLINE (line 7082) | static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
  function CYTHON_INLINE (line 7214) | static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
  function CYTHON_INLINE (line 7346) | static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
  function CYTHON_INLINE (line 7478) | static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *...
  function CYTHON_INLINE (line 7515) | static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *_...
  function CYTHON_INLINE (line 7552) | static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(Py...
  function CYTHON_INLINE (line 7586) | static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(...
  function CYTHON_INLINE (line 7620) | static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit...
  function __pyx_array___cinit__ (line 7654) | static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx...
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__ (line 7782) | static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(s...
  function CYTHON_UNUSED (line 8405) | static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, P...
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__ (line 8416) | static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffe...
  function __pyx_array___dealloc__ (line 8712) | static void __pyx_array___dealloc__(PyObject *__pyx_v_self) {
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__ (line 8721) | static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc...
  function PyObject (line 8843) | static PyObject *__pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__...
  function PyObject (line 8854) | static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(...
  function PyObject (line 8904) | static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v...
  function Py_ssize_t (line 8986) | static Py_ssize_t __pyx_array___len__(PyObject *__pyx_v_self) {
  function Py_ssize_t (line 8997) | static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__l...
  function PyObject (line 9036) | static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObjec...
  function PyObject (line 9047) | static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__ge...
  function PyObject (line 9104) | static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObjec...
  function PyObject (line 9115) | static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__g...
  function __pyx_array___setitem__ (line 9172) | static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__p...
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__ (line 9183) | static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem...
  function PyObject (line 9232) | static PyObject *__pyx_pw___pyx_array_1__reduce_cython__(PyObject *__pyx...
  function PyObject (line 9243) | static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED st...
  function PyObject (line 9289) | static PyObject *__pyx_pw___pyx_array_3__setstate_cython__(PyObject *__p...
  function PyObject (line 9300) | static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED...
  type __pyx_array_obj (line 9345) | struct __pyx_array_obj
  type __pyx_array_obj (line 9346) | struct __pyx_array_obj
  type __pyx_array_obj (line 9347) | struct __pyx_array_obj
  type __pyx_array_obj (line 9399) | struct __pyx_array_obj
  type __pyx_array_obj (line 9463) | struct __pyx_array_obj
  function __pyx_MemviewEnum___init__ (line 9522) | static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *...
  function __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__ (line 9573) | static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init...
  function PyObject (line 9615) | static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self) {
  function PyObject (line 9626) | static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_...
  function PyObject (line 9666) | static PyObject *__pyx_pw___pyx_MemviewEnum_1__reduce_cython__(PyObject ...
  function PyObject (line 9677) | static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __p...
  function PyObject (line 9901) | static PyObject *__pyx_pw___pyx_MemviewEnum_3__setstate_cython__(PyObjec...
  function PyObject (line 9912) | static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct ...
  function __pyx_memoryview___cinit__ (line 10044) | static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *...
  function __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__ (line 10124) | static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_...
  function __pyx_memoryview___dealloc__ (line 10442) | static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self) {
  function __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__ (line 10451) | static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview...
  type __pyx_memoryview_obj (line 10671) | struct __pyx_memoryview_obj
  function PyObject (line 10811) | static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, Py...
  function PyObject (line 10822) | static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memor...
  function __pyx_memoryview___setitem__ (line 11000) | static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject...
  function __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__ (line 11011) | static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_...
  function PyObject (line 11226) | static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *...
  function PyObject (line 11436) | static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_...
  function PyObject (line 11526) | static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __p...
  function PyObject (line 11816) | static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryvie...
  function PyObject (line 11877) | static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_me...
  function PyObject (line 12154) | static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_m...
  function CYTHON_UNUSED (line 12395) | static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_se...
  function __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__ (line 12406) | static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_...
  function PyObject (line 12739) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__...
  function PyObject (line 12750) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(...
  function PyObject (line 12825) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__ge...
  function PyObject (line 12836) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get...
  function PyObject (line 12878) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__g...
  function PyObject (line 12889) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___ge...
  function PyObject (line 12959) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1_...
  function PyObject (line 12970) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___...
  function PyObject (line 13073) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_10suboffset...
  function PyObject (line 13084) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffset...
  function PyObject (line 13191) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__ge...
  function PyObject (line 13202) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get...
  function PyObject (line 13254) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1...
  function PyObject (line 13265) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize__...
  function PyObject (line 13317) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__...
  function PyObject (line 13328) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___g...
  function PyObject (line 13390) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__ge...
  function PyObject (line 13401) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get...
  function Py_ssize_t (line 13531) | static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self) {
  function Py_ssize_t (line 13542) | static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memo...
  function PyObject (line 13611) | static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self) {
  function PyObject (line 13622) | static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memor...
  function PyObject (line 13713) | static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self) {
  function PyObject (line 13724) | static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memor...
  function PyObject (line 13792) | static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CY...
  function PyObject (line 13803) | static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memor...
  function PyObject (line 13868) | static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CY...
  function PyObject (line 13879) | static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memor...
  function PyObject (line 13944) | static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UN...
  function PyObject (line 13955) | static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memor...
  function PyObject (line 14038) | static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, C...
  function PyObject (line 14049) | static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memor...
  function PyObject (line 14131) | static PyObject *__pyx_pw___pyx_memoryview_1__reduce_cython__(PyObject *...
  function PyObject (line 14142) | static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUS...
  function PyObject (line 14188) | static PyObject *__pyx_pw___pyx_memoryview_3__setstate_cython__(PyObject...
  function PyObject (line 14199) | static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_U...
  function PyObject (line 14244) | static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_f...
  function CYTHON_INLINE (line 14335) | static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) {
  function PyObject (line 14374) | static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) {
  function PyObject (line 14831) | static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets...
  type __pyx_memoryview_obj (line 14919) | struct __pyx_memoryview_obj
  type __pyx_memoryview_obj (line 14919) | struct __pyx_memoryview_obj
  type __pyx_memoryviewslice_obj (line 14926) | struct __pyx_memoryviewslice_obj
  type __pyx_memoryview_obj (line 14936) | struct __pyx_memoryview_obj
  type __pyx_memoryview_obj (line 14941) | struct __pyx_memoryview_obj
  type __pyx_memoryviewslice_obj (line 15011) | struct __pyx_memoryviewslice_obj
  type __pyx_memoryview_obj (line 15423) | struct __pyx_memoryview_obj
  type __pyx_memoryview_obj (line 15464) | struct __pyx_memoryview_obj
  function __pyx_memoryview_slice_memviewslice (line 15499) | static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx...
  function __pyx_memslice_transpose (line 16592) | static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) {
  function __pyx_memoryviewslice___dealloc__ (line 16768) | static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self) {
  function __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__ (line 16777) | static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memo...
  function PyObject (line 16810) | static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __p...
  function PyObject (line 16896) | static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __...
  function PyObject (line 16981) | static PyObject *__pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base...
  function PyObject (line 16992) | static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base...
  function PyObject (line 17032) | static PyObject *__pyx_pw___pyx_memoryviewslice_1__reduce_cython__(PyObj...
  function PyObject (line 17043) | static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON...
  function PyObject (line 17089) | static PyObject *__pyx_pw___pyx_memoryviewslice_3__setstate_cython__(PyO...
  function PyObject (line 17100) | static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYT...
  function PyObject (line 17145) | static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_m...
  function __Pyx_memviewslice (line 17531) | static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(st...
  function __pyx_memoryview_slice_copy (line 17634) | static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__p...
  function PyObject (line 17760) | static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_ob...
  function PyObject (line 17820) | static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_me...
  function Py_ssize_t (line 17946) | static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) {
  function __pyx_get_best_slice_order (line 18012) | static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslic...
  function _copy_strided_to_strided (line 18202) | static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t ...
  function copy_strided_to_strided (line 18439) | static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __P...
  function Py_ssize_t (line 18469) | static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__...
  function Py_ssize_t (line 18541) | static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_sh...
  type __pyx_memoryview_obj (line 18672) | struct __pyx_memoryview_obj
  function __pyx_memoryview_err_extents (line 18918) | static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_...
  function __pyx_memoryview_err_dim (line 19006) | static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx...
  function __pyx_memoryview_err (line 19090) | static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_m...
  function __pyx_memoryview_copy_contents (line 19200) | static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src...
  function __pyx_memoryview_broadcast_leading (line 19779) | static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx...
  function __pyx_memoryview_refcount_copying (line 19892) | static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_...
  function __pyx_memoryview_refcount_objects_in_slice_with_gil (line 19942) | static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__...
  function __pyx_memoryview_refcount_objects_in_slice (line 19981) | static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_dat...
  function __pyx_memoryview_slice_assign_scalar (line 20113) | static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__p...
  function __pyx_memoryview__slice_assign_scalar (line 20161) | static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py...
  function PyObject (line 20293) | static PyObject *__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum(PyO...
  function PyObject (line 20366) | static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTH...
  function PyObject (line 20561) | static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum...
  type __pyx_vtabstruct_array (line 20684) | struct __pyx_vtabstruct_array
  function PyObject (line 20686) | static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObje...
  function __pyx_tp_dealloc_array (line 20706) | static void __pyx_tp_dealloc_array(PyObject *o) {
  function PyObject (line 20725) | static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) {
  function __pyx_mp_ass_subscript_array (line 20733) | static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObje...
  function PyObject (line 20744) | static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) {
  function PyObject (line 20753) | static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_U...
  type PyGetSetDef (line 20764) | struct PyGetSetDef
  type __pyx_array_obj (line 20808) | struct __pyx_array_obj
  function PyObject (line 20877) | static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObje...
  function __pyx_tp_dealloc_Enum (line 20891) | static void __pyx_tp_dealloc_Enum(PyObject *o) {
  function __pyx_tp_traverse_Enum (line 20903) | static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {
  function __pyx_tp_clear_Enum (line 20912) | static int __pyx_tp_clear_Enum(PyObject *o) {
  type __pyx_MemviewEnum_obj (line 20930) | struct __pyx_MemviewEnum_obj
  type __pyx_vtabstruct_memoryview (line 20998) | struct __pyx_vtabstruct_memoryview
  function PyObject (line 21000) | static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, P...
  function __pyx_tp_dealloc_memoryview (line 21022) | static void __pyx_tp_dealloc_memoryview(PyObject *o) {
  function __pyx_tp_traverse_memoryview (line 21044) | static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *...
  function __pyx_tp_clear_memoryview (line 21062) | static int __pyx_tp_clear_memoryview(PyObject *o) {
  function PyObject (line 21077) | static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
  function __pyx_mp_ass_subscript_memoryview (line 21085) | static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, P...
  function PyObject (line 21096) | static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UN...
  function PyObject (line 21100) | static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON...
  function PyObject (line 21104) | static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHO...
  function PyObject (line 21108) | static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYT...
  function PyObject (line 21112) | static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, ...
  function PyObject (line 21116) | static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON...
  function PyObject (line 21120) | static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CY...
  function PyObject (line 21124) | static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTH...
  function PyObject (line 21128) | static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON...
  type PyGetSetDef (line 21142) | struct PyGetSetDef
  type __pyx_memoryview_obj (line 21194) | struct __pyx_memoryview_obj
  type __pyx_vtabstruct__memoryviewslice (line 21262) | struct __pyx_vtabstruct__memoryviewslice
  function PyObject (line 21264) | static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject...
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  type __Pyx_st_int (line 25112) | typedef struct { char c; int x; } __Pyx_st_int;
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  type __Pyx_st_double (line 25115) | typedef struct { char c; double x; } __Pyx_st_double;
  type __Pyx_st_longdouble (line 25116) | typedef struct { char c; long double x; } __Pyx_st_longdouble;
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  type __Pyx_st_longlong (line 25119) | typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
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  type __Pyx_pad_double (line 25147) | typedef struct { double x; char c; } __Pyx_pad_double;
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  function CYTHON_INLINE (line 27182) | static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
  function CYTHON_INLINE (line 27187) | static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
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  function CYTHON_INLINE (line 27263) | static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
  function CYTHON_INLINE (line 27325) | static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject* o) {
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FILE: fast_reid/fastreid/evaluation/rank_cylib/roc_cy.c
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  type npy_int32 (line 1145) | typedef npy_int32 __pyx_t_5numpy_int32_t;
  type npy_int64 (line 1154) | typedef npy_int64 __pyx_t_5numpy_int64_t;
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  type npy_uint16 (line 1172) | typedef npy_uint16 __pyx_t_5numpy_uint16_t;
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  type npy_uint64 (line 1190) | typedef npy_uint64 __pyx_t_5numpy_uint64_t;
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  type npy_float64 (line 1208) | typedef npy_float64 __pyx_t_5numpy_float64_t;
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  type npy_longlong (line 1235) | typedef npy_longlong __pyx_t_5numpy_longlong_t;
  type npy_ulong (line 1244) | typedef npy_ulong __pyx_t_5numpy_uint_t;
  type npy_ulonglong (line 1253) | typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
  type npy_ulonglong (line 1262) | typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
  type npy_intp (line 1271) | typedef npy_intp __pyx_t_5numpy_intp_t;
  type npy_uintp (line 1280) | typedef npy_uintp __pyx_t_5numpy_uintp_t;
  type npy_double (line 1289) | typedef npy_double __pyx_t_5numpy_float_t;
  type npy_double (line 1298) | typedef npy_double __pyx_t_5numpy_double_t;
  type npy_longdouble (line 1307) | typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
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  type __pyx_t_float_complex (line 1313) | typedef float _Complex __pyx_t_float_complex;
  type __pyx_t_float_complex (line 1316) | typedef struct { float real, imag; } __pyx_t_float_complex;
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  type __pyx_memoryview_obj (line 2606) | struct __pyx_memoryview_obj
  type __pyx_memoryview_obj (line 2607) | struct __pyx_memoryview_obj
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  function PyObject (line 4069) | static PyObject *__pyx_pf_6roc_cy_evaluate_roc_cy(CYTHON_UNUSED PyObject...
  function CYTHON_INLINE (line 4113) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyOb...
  function CYTHON_INLINE (line 4163) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyOb...
  function CYTHON_INLINE (line 4213) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyOb...
  function CYTHON_INLINE (line 4263) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyOb...
  function CYTHON_INLINE (line 4313) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyOb...
  function CYTHON_INLINE (line 4363) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_D...
  function CYTHON_INLINE (line 4437) | static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *_...
  function CYTHON_INLINE (line 4479) | static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObje...
  function CYTHON_INLINE (line 4560) | static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
  function CYTHON_INLINE (line 4692) | static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
  function CYTHON_INLINE (line 4824) | static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
  function CYTHON_INLINE (line 4956) | static CYTHON_INLINE int __pyx_f_5numpy_is_timedelta64_object(PyObject *...
  function CYTHON_INLINE (line 4993) | static CYTHON_INLINE int __pyx_f_5numpy_is_datetime64_object(PyObject *_...
  function CYTHON_INLINE (line 5030) | static CYTHON_INLINE npy_datetime __pyx_f_5numpy_get_datetime64_value(Py...
  function CYTHON_INLINE (line 5064) | static CYTHON_INLINE npy_timedelta __pyx_f_5numpy_get_timedelta64_value(...
  function CYTHON_INLINE (line 5098) | static CYTHON_INLINE NPY_DATETIMEUNIT __pyx_f_5numpy_get_datetime64_unit...
  function __pyx_array___cinit__ (line 5132) | static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx...
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__ (line 5260) | static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(s...
  function CYTHON_UNUSED (line 5883) | static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, P...
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__ (line 5894) | static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffe...
  function __pyx_array___dealloc__ (line 6190) | static void __pyx_array___dealloc__(PyObject *__pyx_v_self) {
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__ (line 6199) | static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc...
  function PyObject (line 6321) | static PyObject *__pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__...
  function PyObject (line 6332) | static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(...
  function PyObject (line 6382) | static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v...
  function Py_ssize_t (line 6464) | static Py_ssize_t __pyx_array___len__(PyObject *__pyx_v_self) {
  function Py_ssize_t (line 6475) | static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__l...
  function PyObject (line 6514) | static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObjec...
  function PyObject (line 6525) | static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__ge...
  function PyObject (line 6582) | static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObjec...
  function PyObject (line 6593) | static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__g...
  function __pyx_array___setitem__ (line 6650) | static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__p...
  function __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__ (line 6661) | static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem...
  function PyObject (line 6710) | static PyObject *__pyx_pw___pyx_array_1__reduce_cython__(PyObject *__pyx...
  function PyObject (line 6721) | static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED st...
  function PyObject (line 6767) | static PyObject *__pyx_pw___pyx_array_3__setstate_cython__(PyObject *__p...
  function PyObject (line 6778) | static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED...
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  type __pyx_array_obj (line 6824) | struct __pyx_array_obj
  type __pyx_array_obj (line 6825) | struct __pyx_array_obj
  type __pyx_array_obj (line 6877) | struct __pyx_array_obj
  type __pyx_array_obj (line 6941) | struct __pyx_array_obj
  function __pyx_MemviewEnum___init__ (line 7000) | static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *...
  function __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__ (line 7051) | static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init...
  function PyObject (line 7093) | static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self) {
  function PyObject (line 7104) | static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_...
  function PyObject (line 7144) | static PyObject *__pyx_pw___pyx_MemviewEnum_1__reduce_cython__(PyObject ...
  function PyObject (line 7155) | static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __p...
  function PyObject (line 7379) | static PyObject *__pyx_pw___pyx_MemviewEnum_3__setstate_cython__(PyObjec...
  function PyObject (line 7390) | static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct ...
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  function __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__ (line 7602) | static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_...
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  function PyObject (line 8914) | static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_...
  function PyObject (line 9004) | static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __p...
  function PyObject (line 9294) | static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryvie...
  function PyObject (line 9355) | static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_me...
  function PyObject (line 9632) | static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_m...
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  function __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__ (line 9884) | static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_...
  function PyObject (line 10217) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__...
  function PyObject (line 10228) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(...
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  function PyObject (line 10314) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get...
  function PyObject (line 10356) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__g...
  function PyObject (line 10367) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___ge...
  function PyObject (line 10437) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1_...
  function PyObject (line 10448) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___...
  function PyObject (line 10551) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_10suboffset...
  function PyObject (line 10562) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffset...
  function PyObject (line 10669) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__ge...
  function PyObject (line 10680) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get...
  function PyObject (line 10732) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1...
  function PyObject (line 10743) | static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize__...
  function PyObject (line 10795) | static PyObject *__pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__...
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  function __pyx_memviewslice_is_contig (line 22173) | static int
  function __pyx_get_array_memory_extents (line 22195) | static void
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  type __Pyx_st_int (line 22371) | typedef struct { char c; int x; } __Pyx_st_int;
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FILE: fast_reid/fastreid/evaluation/rank_cylib/setup.py
  function numpy_include (line 8) | def numpy_include():

FILE: fast_reid/fastreid/evaluation/reid_evaluation.py
  class ReidEvaluator (line 26) | class ReidEvaluator(DatasetEvaluator):
    method __init__ (line 27) | def __init__(self, cfg, num_query, output_dir=None):
    method reset (line 37) | def reset(self):
    method process (line 40) | def process(self, inputs, outputs):
    method evaluate (line 49) | def evaluate(self):
    method _compile_dependencies (line 128) | def _compile_dependencies(self):

FILE: fast_reid/fastreid/evaluation/rerank.py
  function re_ranking (line 11) | def re_ranking(q_g_dist, q_q_dist, g_g_dist, k1: int = 20, k2: int = 6, ...

FILE: fast_reid/fastreid/evaluation/roc.py
  function evaluate_roc_py (line 24) | def evaluate_roc_py(distmat, q_pids, g_pids, q_camids, g_camids):
  function evaluate_roc (line 64) | def evaluate_roc(

FILE: fast_reid/fastreid/evaluation/testing.py
  function print_csv_format (line 12) | def print_csv_format(results):
  function verify_results (line 39) | def verify_results(cfg, results):
  function flatten_results_dict (line 71) | def flatten_results_dict(results):

FILE: fast_reid/fastreid/layers/activation.py
  class Mish (line 20) | class Mish(nn.Module):
    method __init__ (line 21) | def __init__(self):
    method forward (line 24) | def forward(self, x):
  class Swish (line 29) | class Swish(nn.Module):
    method forward (line 30) | def forward(self, x):
  class SwishImplementation (line 34) | class SwishImplementation(torch.autograd.Function):
    method forward (line 36) | def forward(ctx, i):
    method backward (line 42) | def backward(ctx, grad_output):
  class MemoryEfficientSwish (line 48) | class MemoryEfficientSwish(nn.Module):
    method forward (line 49) | def forward(self, x):
  class GELU (line 53) | class GELU(nn.Module):
    method forward (line 58) | def forward(self, x):

FILE: fast_reid/fastreid/layers/any_softmax.py
  class Linear (line 18) | class Linear(nn.Module):
    method __init__ (line 19) | def __init__(self, num_classes, scale, margin):
    method forward (line 25) | def forward(self, logits, targets):
    method extra_repr (line 28) | def extra_repr(self):
  class CosSoftmax (line 32) | class CosSoftmax(Linear):
    method forward (line 36) | def forward(self, logits, targets):
  class ArcSoftmax (line 45) | class ArcSoftmax(Linear):
    method forward (line 47) | def forward(self, logits, targets):
  class CircleSoftmax (line 57) | class CircleSoftmax(Linear):
    method forward (line 59) | def forward(self, logits, targets):

FILE: fast_reid/fastreid/layers/batch_norm.py
  class BatchNorm (line 16) | class BatchNorm(nn.BatchNorm2d):
    method __init__ (line 17) | def __init__(self, num_features, eps=1e-05, momentum=0.1, weight_freez...
  class SyncBatchNorm (line 26) | class SyncBatchNorm(nn.SyncBatchNorm):
    method __init__ (line 27) | def __init__(self, num_features, eps=1e-05, momentum=0.1, weight_freez...
  class IBN (line 36) | class IBN(nn.Module):
    method __init__ (line 37) | def __init__(self, planes, bn_norm, **kwargs):
    method forward (line 45) | def forward(self, x):
  class GhostBatchNorm (line 53) | class GhostBatchNorm(BatchNorm):
    method __init__ (line 54) | def __init__(self, num_features, num_splits=1, **kwargs):
    method forward (line 60) | def forward(self, input):
  class FrozenBatchNorm (line 78) | class FrozenBatchNorm(nn.Module):
    method __init__ (line 96) | def __init__(self, num_features, eps=1e-5, **kwargs):
    method forward (line 105) | def forward(self, x):
    method _load_from_state_dict (line 127) | def _load_from_state_dict(
    method __repr__ (line 150) | def __repr__(self):
    method convert_frozen_batchnorm (line 154) | def convert_frozen_batchnorm(cls, module):
  function get_norm (line 184) | def get_norm(norm, out_channels, **kwargs):

FILE: fast_reid/fastreid/layers/context_block.py
  function last_zero_init (line 9) | def last_zero_init(m):
  class ContextBlock (line 20) | class ContextBlock(nn.Module):
    method __init__ (line 22) | def __init__(self,
    method reset_parameters (line 61) | def reset_parameters(self):
    method spatial_pool (line 73) | def spatial_pool(self, x):
    method forward (line 99) | def forward(self, x):

FILE: fast_reid/fastreid/layers/drop.py
  function drop_block_2d (line 17) | def drop_block_2d(
  function drop_block_fast_2d (line 64) | def drop_block_fast_2d(
  class DropBlock2d (line 102) | class DropBlock2d(nn.Module):
    method __init__ (line 106) | def __init__(self,
    method forward (line 123) | def forward(self, x):
  function drop_path (line 134) | def drop_path(x, drop_prob: float = 0., training: bool = False):
  class DropPath (line 152) | class DropPath(nn.Module):
    method __init__ (line 156) | def __init__(self, drop_prob=None):
    method forward (line 160) | def forward(self, x):

FILE: fast_reid/fastreid/layers/frn.py
  class TLU (line 14) | class TLU(nn.Module):
    method __init__ (line 15) | def __init__(self, num_features):
    method reset_parameters (line 22) | def reset_parameters(self):
    method extra_repr (line 25) | def extra_repr(self):
    method forward (line 28) | def forward(self, x):
  class FRN (line 32) | class FRN(nn.Module):
    method __init__ (line 33) | def __init__(self, num_features, eps=1e-6, is_eps_leanable=False):
    method reset_parameters (line 55) | def reset_parameters(self):
    method extra_repr (line 61) | def extra_repr(self):
    method forward (line 64) | def forward(self, x):
  function bnrelu_to_frn (line 86) | def bnrelu_to_frn(module):
  function convert (line 115) | def convert(module, flag_name):
  function remove_flags (line 131) | def remove_flags(module, flag_name):
  function bnrelu_to_frn2 (line 142) | def bnrelu_to_frn2(model, input_size=(3, 128, 128), batch_size=2, flag_n...

FILE: fast_reid/fastreid/layers/gather_layer.py
  class GatherLayer (line 13) | class GatherLayer(torch.autograd.Function):
    method forward (line 18) | def forward(ctx, input):
    method backward (line 26) | def backward(ctx, *grads):

FILE: fast_reid/fastreid/layers/helpers.py
  function _ntuple (line 9) | def _ntuple(n):
  function make_divisible (line 25) | def make_divisible(v, divisor=8, min_value=None):

FILE: fast_reid/fastreid/layers/non_local.py
  class Non_local (line 9) | class Non_local(nn.Module):
    method __init__ (line 10) | def __init__(self, in_channels, bn_norm, reduc_ratio=2):
    method forward (line 33) | def forward(self, x):

FILE: fast_reid/fastreid/layers/pooling.py
  class Identity (line 24) | class Identity(nn.Module):
    method __init__ (line 25) | def __init__(self, *args, **kwargs):
    method forward (line 28) | def forward(self, input):
  class Flatten (line 32) | class Flatten(nn.Module):
    method __init__ (line 33) | def __init__(self, *args, **kwargs):
    method forward (line 36) | def forward(self, input):
  class GlobalAvgPool (line 40) | class GlobalAvgPool(nn.AdaptiveAvgPool2d):
    method __init__ (line 41) | def __init__(self, output_size=1, *args, **kwargs):
  class GlobalMaxPool (line 45) | class GlobalMaxPool(nn.AdaptiveMaxPool2d):
    method __init__ (line 46) | def __init__(self, output_size=1, *args, **kwargs):
  class GeneralizedMeanPooling (line 50) | class GeneralizedMeanPooling(nn.Module):
    method __init__ (line 64) | def __init__(self, norm=3, output_size=(1, 1), eps=1e-6, *args, **kwar...
    method forward (line 71) | def forward(self, x):
    method __repr__ (line 75) | def __repr__(self):
  class GeneralizedMeanPoolingP (line 81) | class GeneralizedMeanPoolingP(GeneralizedMeanPooling):
    method __init__ (line 85) | def __init__(self, norm=3, output_size=(1, 1), eps=1e-6, *args, **kwar...
  class AdaptiveAvgMaxPool (line 90) | class AdaptiveAvgMaxPool(nn.Module):
    method __init__ (line 91) | def __init__(self, output_size=1, *args, **kwargs):
    method forward (line 96) | def forward(self, x):
  class FastGlobalAvgPool (line 103) | class FastGlobalAvgPool(nn.Module):
    method __init__ (line 104) | def __init__(self, flatten=False, *args, **kwargs):
    method forward (line 108) | def forward(self, x):
  class ClipGlobalAvgPool (line 116) | class ClipGlobalAvgPool(nn.Module):
    method __init__ (line 117) | def __init__(self, *args, **kwargs):
    method forward (line 121) | def forward(self, x):

FILE: fast_reid/fastreid/layers/se_layer.py
  class SELayer (line 10) | class SELayer(nn.Module):
    method __init__ (line 11) | def __init__(self, channel, reduction=16):
    method forward (line 21) | def forward(self, x):

FILE: fast_reid/fastreid/layers/splat.py
  class SplAtConv2d (line 15) | class SplAtConv2d(nn.Module):
    method __init__ (line 19) | def __init__(self, in_channels, channels, kernel_size, stride=(1, 1), ...
    method forward (line 52) | def forward(self, x):
  class rSoftMax (line 90) | class rSoftMax(nn.Module):
    method __init__ (line 91) | def __init__(self, radix, cardinality):
    method forward (line 96) | def forward(self, x):
  class DropBlock2D (line 107) | class DropBlock2D(object):
    method __init__ (line 108) | def __init__(self, *args, **kwargs):

FILE: fast_reid/fastreid/layers/weight_init.py
  function weights_init_kaiming (line 14) | def weights_init_kaiming(m):
  function weights_init_classifier (line 30) | def weights_init_classifier(m):
  function _no_grad_trunc_normal_ (line 41) | def _no_grad_trunc_normal_(tensor, mean, std, a, b):
  function trunc_normal_ (line 77) | def trunc_normal_(tensor, mean=0., std=1., a=-2., b=2.):
  function variance_scaling_ (line 98) | def variance_scaling_(tensor, scale=1.0, mode='fan_in', distribution='no...
  function lecun_normal_ (line 121) | def lecun_normal_(tensor):

FILE: fast_reid/fastreid/modeling/backbones/build.py
  function build_backbone (line 18) | def build_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/mobilenet.py
  function _make_divisible (line 21) | def _make_divisible(v, divisor, min_value=None):
  function conv_3x3_bn (line 41) | def conv_3x3_bn(inp, oup, stride, bn_norm):
  function conv_1x1_bn (line 49) | def conv_1x1_bn(inp, oup, bn_norm):
  class InvertedResidual (line 57) | class InvertedResidual(nn.Module):
    method __init__ (line 58) | def __init__(self, inp, oup, bn_norm, stride, expand_ratio):
    method forward (line 90) | def forward(self, x):
  class MobileNetV2 (line 97) | class MobileNetV2(nn.Module):
    method __init__ (line 98) | def __init__(self, bn_norm, width_mult=1.):
    method forward (line 129) | def forward(self, x):
    method _initialize_weights (line 134) | def _initialize_weights(self):
  function build_mobilenetv2_backbone (line 150) | def build_mobilenetv2_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/mobilenetv3.py
  function conv_1x1_bn (line 29) | def conv_1x1_bn(inp, oup, bn_norm):
  class ConvBNActivation (line 37) | class ConvBNActivation(nn.Sequential):
    method __init__ (line 38) | def __init__(
  class SqueezeExcitation (line 61) | class SqueezeExcitation(nn.Module):
    method __init__ (line 62) | def __init__(self, input_channels: int, squeeze_factor: int = 4):
    method _scale (line 69) | def _scale(self, input: Tensor, inplace: bool) -> Tensor:
    method forward (line 76) | def forward(self, input: Tensor) -> Tensor:
  class InvertedResidualConfig (line 81) | class InvertedResidualConfig:
    method __init__ (line 82) | def __init__(self, input_channels: int, kernel: int, expanded_channels...
    method adjust_channels (line 94) | def adjust_channels(channels: int, width_mult: float):
  class InvertedResidual (line 98) | class InvertedResidual(nn.Module):
    method __init__ (line 99) | def __init__(self, cnf: InvertedResidualConfig, bn_norm,
    method forward (line 131) | def forward(self, input: Tensor) -> Tensor:
  class MobileNetV3 (line 138) | class MobileNetV3(nn.Module):
    method __init__ (line 139) | def __init__(
    method _forward_impl (line 196) | def _forward_impl(self, x: Tensor) -> Tensor:
    method forward (line 201) | def forward(self, x: Tensor) -> Tensor:
  function _mobilenet_v3_conf (line 205) | def _mobilenet_v3_conf(arch: str, params: Dict[str, Any]):
  function _mobilenet_v3_model (line 254) | def _mobilenet_v3_model(
  function build_mobilenetv3_backbone (line 275) | def build_mobilenetv3_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/osnet.py
  class ConvLayer (line 38) | class ConvLayer(nn.Module):
    method __init__ (line 41) | def __init__(
    method forward (line 68) | def forward(self, x):
  class Conv1x1 (line 75) | class Conv1x1(nn.Module):
    method __init__ (line 78) | def __init__(self, in_channels, out_channels, bn_norm, stride=1, group...
    method forward (line 92) | def forward(self, x):
  class Conv1x1Linear (line 99) | class Conv1x1Linear(nn.Module):
    method __init__ (line 102) | def __init__(self, in_channels, out_channels, bn_norm, stride=1):
    method forward (line 109) | def forward(self, x):
  class Conv3x3 (line 115) | class Conv3x3(nn.Module):
    method __init__ (line 118) | def __init__(self, in_channels, out_channels, bn_norm, stride=1, group...
    method forward (line 132) | def forward(self, x):
  class LightConv3x3 (line 139) | class LightConv3x3(nn.Module):
    method __init__ (line 144) | def __init__(self, in_channels, out_channels, bn_norm):
    method forward (line 161) | def forward(self, x):
  class ChannelGate (line 172) | class ChannelGate(nn.Module):
    method __init__ (line 175) | def __init__(
    method forward (line 218) | def forward(self, x):
  class OSBlock (line 230) | class OSBlock(nn.Module):
    method __init__ (line 233) | def __init__(
    method forward (line 270) | def forward(self, x):
  class OSNet (line 290) | class OSNet(nn.Module):
    method __init__ (line 299) | def __init__(
    method _make_layer (line 345) | def _make_layer(
    method _init_params (line 371) | def _init_params(self):
    method forward (line 393) | def forward(self, x):
  function init_pretrained_weights (line 403) | def init_pretrained_weights(model, key=''):
  function build_osnet_backbone (line 472) | def build_osnet_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/regnet/config.py
  function assert_and_infer_cfg (line 356) | def assert_and_infer_cfg():
  function dump_cfg (line 371) | def dump_cfg():
  function load_cfg (line 378) | def load_cfg(out_dir, cfg_dest="config.yaml"):
  function load_cfg_fom_args (line 384) | def load_cfg_fom_args(description="Config file options."):

FILE: fast_reid/fastreid/modeling/backbones/regnet/effnet.py
  class EffHead (line 35) | class EffHead(nn.Module):
    method __init__ (line 38) | def __init__(self, w_in, w_out, bn_norm):
    method forward (line 44) | def forward(self, x):
  class Swish (line 49) | class Swish(nn.Module):
    method __init__ (line 52) | def __init__(self):
    method forward (line 55) | def forward(self, x):
  class SE (line 59) | class SE(nn.Module):
    method __init__ (line 62) | def __init__(self, w_in, w_se):
    method forward (line 72) | def forward(self, x):
  class MBConv (line 76) | class MBConv(nn.Module):
    method __init__ (line 79) | def __init__(self, w_in, exp_r, kernel, stride, se_r, w_out, bn_norm):
    method forward (line 98) | def forward(self, x):
  class EffStage (line 112) | class EffStage(nn.Module):
    method __init__ (line 115) | def __init__(self, w_in, exp_r, kernel, stride, se_r, w_out, d, bn_norm):
    method forward (line 123) | def forward(self, x):
  class StemIN (line 129) | class StemIN(nn.Module):
    method __init__ (line 132) | def __init__(self, w_in, w_out, bn_norm):
    method forward (line 138) | def forward(self, x):
  class EffNet (line 144) | class EffNet(nn.Module):
    method get_args (line 148) | def get_args():
    method __init__ (line 160) | def __init__(self, last_stride, bn_norm, **kwargs):
    method _construct (line 166) | def _construct(self, stem_w, ds, ws, exp_rs, se_r, ss, ks, head_w, las...
    method forward (line 177) | def forward(self, x):
  function init_pretrained_weights (line 183) | def init_pretrained_weights(key):
  function build_effnet_backbone (line 235) | def build_effnet_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/regnet/regnet.py
  function init_weights (line 29) | def init_weights(m):
  function get_stem_fun (line 46) | def get_stem_fun(stem_type):
  function get_block_fun (line 59) | def get_block_fun(block_type):
  function drop_connect (line 72) | def drop_connect(x, drop_ratio):
  class AnyHead (line 81) | class AnyHead(nn.Module):
    method __init__ (line 84) | def __init__(self, w_in, nc):
    method forward (line 89) | def forward(self, x):
  class VanillaBlock (line 96) | class VanillaBlock(nn.Module):
    method __init__ (line 99) | def __init__(self, w_in, w_out, stride, bn_norm, bm=None, gw=None, se_...
    method construct (line 106) | def construct(self, w_in, w_out, stride, bn_norm):
    method forward (line 118) | def forward(self, x):
  class BasicTransform (line 124) | class BasicTransform(nn.Module):
    method __init__ (line 127) | def __init__(self, w_in, w_out, stride, bn_norm):
    method construct (line 131) | def construct(self, w_in, w_out, stride, bn_norm):
    method forward (line 143) | def forward(self, x):
  class ResBasicBlock (line 149) | class ResBasicBlock(nn.Module):
    method __init__ (line 152) | def __init__(self, w_in, w_out, stride, bn_norm, bm=None, gw=None, se_...
    method _add_skip_proj (line 159) | def _add_skip_proj(self, w_in, w_out, stride, bn_norm):
    method construct (line 165) | def construct(self, w_in, w_out, stride, bn_norm):
    method forward (line 173) | def forward(self, x):
  class SE (line 182) | class SE(nn.Module):
    method __init__ (line 185) | def __init__(self, w_in, w_se):
    method construct (line 189) | def construct(self, w_in, w_se):
    method forward (line 200) | def forward(self, x):
  class BottleneckTransform (line 204) | class BottleneckTransform(nn.Module):
    method __init__ (line 207) | def __init__(self, w_in, w_out, stride, bn_norm, bm, gw, se_r):
    method construct (line 211) | def construct(self, w_in, w_out, stride, bn_norm, bm, gw, se_r):
    method forward (line 235) | def forward(self, x):
  class ResBottleneckBlock (line 241) | class ResBottleneckBlock(nn.Module):
    method __init__ (line 244) | def __init__(self, w_in, w_out, stride, bn_norm, bm=1.0, gw=1, se_r=No...
    method _add_skip_proj (line 248) | def _add_skip_proj(self, w_in, w_out, stride, bn_norm):
    method construct (line 254) | def construct(self, w_in, w_out, stride, bn_norm, bm, gw, se_r):
    method forward (line 262) | def forward(self, x):
  class ResStemCifar (line 271) | class ResStemCifar(nn.Module):
    method __init__ (line 274) | def __init__(self, w_in, w_out, bn_norm):
    method construct (line 278) | def construct(self, w_in, w_out, bn_norm):
    method forward (line 286) | def forward(self, x):
  class ResStemIN (line 292) | class ResStemIN(nn.Module):
    method __init__ (line 295) | def __init__(self, w_in, w_out, bn_norm):
    method construct (line 299) | def construct(self, w_in, w_out, bn_norm):
    method forward (line 308) | def forward(self, x):
  class SimpleStemIN (line 314) | class SimpleStemIN(nn.Module):
    method __init__ (line 317) | def __init__(self, in_w, out_w, bn_norm):
    method construct (line 321) | def construct(self, in_w, out_w, bn_norm):
    method forward (line 329) | def forward(self, x):
  class AnyStage (line 335) | class AnyStage(nn.Module):
    method __init__ (line 338) | def __init__(self, w_in, w_out, stride, bn_norm, d, block_fun, bm, gw,...
    method construct (line 342) | def construct(self, w_in, w_out, stride, bn_norm, d, block_fun, bm, gw...
    method forward (line 353) | def forward(self, x):
  class AnyNet (line 359) | class AnyNet(nn.Module):
    method __init__ (line 362) | def __init__(self, **kwargs):
    method construct (line 392) | def construct(self, stem_type, stem_w, block_type, ds, ws, ss, bn_norm...
    method forward (line 413) | def forward(self, x):
  function quantize_float (line 419) | def quantize_float(f, q):
  function adjust_ws_gs_comp (line 424) | def adjust_ws_gs_comp(ws, bms, gs):
  function get_stages_from_blocks (line 433) | def get_stages_from_blocks(ws, rs):
  function generate_regnet (line 442) | def generate_regnet(w_a, w_0, w_m, d, q=8):
  class RegNet (line 454) | class RegNet(AnyNet):
    method __init__ (line 457) | def __init__(self, last_stride, bn_norm):
  function init_pretrained_weights (line 490) | def init_pretrained_weights(key):
  function build_regnet_backbone (line 542) | def build_regnet_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/repvgg.py
  function deploy (line 18) | def deploy(self, mode=False):
  function conv_bn (line 29) | def conv_bn(norm_type, in_channels, out_channels, kernel_size, stride, p...
  class RepVGGBlock (line 38) | class RepVGGBlock(nn.Module):
    method __init__ (line 40) | def __init__(self, in_channels, out_channels, norm_type, kernel_size,
    method forward (line 71) | def forward(self, inputs):
    method get_equivalent_kernel_bias (line 87) | def get_equivalent_kernel_bias(self):
    method _pad_1x1_to_3x3_tensor (line 93) | def _pad_1x1_to_3x3_tensor(self, kernel1x1):
    method _fuse_bn_tensor (line 99) | def _fuse_bn_tensor(self, branch):
    method deploy (line 127) | def deploy(self, mode=False):
  class RepVGG (line 136) | class RepVGG(nn.Module):
    method __init__ (line 138) | def __init__(self, last_stride, norm_type, num_blocks, width_multiplie...
    method _make_stage (line 158) | def _make_stage(self, planes, norm_type, num_blocks, stride):
    method deploy (line 169) | def deploy(self, mode=False):
    method forward (line 175) | def forward(self, x):
  function create_RepVGG_A0 (line 189) | def create_RepVGG_A0(last_stride, norm_type):
  function create_RepVGG_A1 (line 194) | def create_RepVGG_A1(last_stride, norm_type):
  function create_RepVGG_A2 (line 199) | def create_RepVGG_A2(last_stride, norm_type):
  function create_RepVGG_B0 (line 204) | def create_RepVGG_B0(last_stride, norm_type):
  function create_RepVGG_B1 (line 209) | def create_RepVGG_B1(last_stride, norm_type):
  function create_RepVGG_B1g2 (line 214) | def create_RepVGG_B1g2(last_stride, norm_type):
  function create_RepVGG_B1g4 (line 219) | def create_RepVGG_B1g4(last_stride, norm_type):
  function create_RepVGG_B2 (line 224) | def create_RepVGG_B2(last_stride, norm_type):
  function create_RepVGG_B2g2 (line 229) | def create_RepVGG_B2g2(last_stride, norm_type):
  function create_RepVGG_B2g4 (line 234) | def create_RepVGG_B2g4(last_stride, norm_type):
  function create_RepVGG_B3 (line 239) | def create_RepVGG_B3(last_stride, norm_type):
  function create_RepVGG_B3g2 (line 244) | def create_RepVGG_B3g2(last_stride, norm_type):
  function create_RepVGG_B3g4 (line 249) | def create_RepVGG_B3g4(last_stride, norm_type):
  function build_repvgg_backbone (line 255) | def build_repvgg_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/resnest.py
  function short_hash (line 27) | def short_hash(name):
  class Bottleneck (line 38) | class Bottleneck(nn.Module):
    method __init__ (line 44) | def __init__(self, inplanes, planes, stride=1, downsample=None,
    method forward (line 104) | def forward(self, x):
  class ResNeSt (line 140) | class ResNeSt(nn.Module):
    method __init__ (line 162) | def __init__(self, last_stride, block, layers, radix=1, groups=1, bott...
    method _make_layer (line 237) | def _make_layer(self, block, planes, blocks, stride=1, dilation=1, nor...
    method forward (line 292) | def forward(self, x):
  function build_resnest_backbone (line 307) | def build_resnest_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/resnet.py
  class BasicBlock (line 38) | class BasicBlock(nn.Module):
    method __init__ (line 41) | def __init__(self, inplanes, planes, bn_norm, with_ibn=False, with_se=...
    method forward (line 59) | def forward(self, x):
  class Bottleneck (line 79) | class Bottleneck(nn.Module):
    method __init__ (line 82) | def __init__(self, inplanes, planes, bn_norm, with_ibn=False, with_se=...
    method forward (line 103) | def forward(self, x):
  class ResNet (line 127) | class ResNet(nn.Module):
    method __init__ (line 128) | def __init__(self, last_stride, bn_norm, with_ibn, with_se, with_nl, b...
    method _make_layer (line 149) | def _make_layer(self, block, planes, blocks, stride=1, bn_norm="BN", w...
    method _build_nonlocal (line 166) | def _build_nonlocal(self, layers, non_layers, bn_norm):
    method forward (line 180) | def forward(self, x):
    method random_init (line 231) | def random_init(self):
  function init_pretrained_weights (line 241) | def init_pretrained_weights(key):
  function build_resnet_backbone (line 294) | def build_resnet_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/resnext.py
  class Bottleneck (line 27) | class Bottleneck(nn.Module):
    method __init__ (line 33) | def __init__(self, inplanes, planes, bn_norm, with_ibn, baseWidth, car...
    method forward (line 60) | def forward(self, x):
  class ResNeXt (line 83) | class ResNeXt(nn.Module):
    method __init__ (line 89) | def __init__(self, last_stride, bn_norm, with_ibn, with_nl, block, lay...
    method _make_layer (line 120) | def _make_layer(self, block, planes, blocks, stride=1, bn_norm='BN', w...
    method _build_nonlocal (line 147) | def _build_nonlocal(self, layers, non_layers, bn_norm):
    method forward (line 161) | def forward(self, x):
    method random_init (line 208) | def random_init(self):
  function init_pretrained_weights (line 222) | def init_pretrained_weights(key):
  function build_resnext_backbone (line 275) | def build_resnext_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/shufflenet.py
  class ShuffleV2Block (line 18) | class ShuffleV2Block(nn.Module):
    method __init__ (line 24) | def __init__(self, bn_norm, inp, oup, mid_channels, *, ksize, stride):
    method forward (line 66) | def forward(self, old_x):
    method channel_shuffle (line 75) | def channel_shuffle(self, x):
  class ShuffleNetV2 (line 84) | class ShuffleNetV2(nn.Module):
    method __init__ (line 90) | def __init__(self, bn_norm, model_size='1.5x'):
    method forward (line 141) | def forward(self, x):
    method _initialize_weights (line 149) | def _initialize_weights(self):
  function build_shufflenetv2_backbone (line 175) | def build_shufflenetv2_backbone(cfg):

FILE: fast_reid/fastreid/modeling/backbones/vision_transformer.py
  class Mlp (line 34) | class Mlp(nn.Module):
    method __init__ (line 35) | def __init__(self, in_features, hidden_features=None, out_features=Non...
    method forward (line 44) | def forward(self, x):
  class Attention (line 53) | class Attention(nn.Module):
    method __init__ (line 54) | def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, at...
    method forward (line 66) | def forward(self, x):
  class Block (line 81) | class Block(nn.Module):
    method __init__ (line 83) | def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_sc...
    method forward (line 95) | def forward(self, x):
  class PatchEmbed (line 101) | class PatchEmbed(nn.Module):
    method __init__ (line 105) | def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=...
    method forward (line 116) | def forward(self, x):
  class HybridEmbed (line 125) | class HybridEmbed(nn.Module):
    method __init__ (line 130) | def __init__(self, backbone, img_size=224, feature_size=None, in_chans...
    method forward (line 159) | def forward(self, x):
  class PatchEmbed_overlap (line 167) | class PatchEmbed_overlap(nn.Module):
    method __init__ (line 171) | def __init__(self, img_size=224, patch_size=16, stride_size=20, in_cha...
    method forward (line 195) | def forward(self, x):
  class VisionTransformer (line 207) | class VisionTransformer(nn.Module):
    method __init__ (line 215) | def __init__(self, img_size=224, patch_size=16, stride_size=16, in_cha...
    method _init_weights (line 256) | def _init_weights(self, m):
    method no_weight_decay (line 266) | def no_weight_decay(self):
    method forward (line 269) | def forward(self, x, camera_id=None):
  function resize_pos_embed (line 291) | def resize_pos_embed(posemb, posemb_new, hight, width):
  function build_vit_backbone (line 312) | def build_vit_backbone(cfg):

FILE: fast_reid/fastreid/modeling/heads/build.py
  function build_heads (line 20) | def build_heads(cfg):

FILE: fast_reid/fastreid/modeling/heads/clas_head.py
  class ClasHead (line 13) | class ClasHead(EmbeddingHead):
    method forward (line 14) | def forward(self, features, targets=None):

FILE: fast_reid/fastreid/modeling/heads/embedding_head.py
  class EmbeddingHead (line 19) | class EmbeddingHead(nn.Module):
    method __init__ (line 32) | def __init__(
    method reset_parameters (line 88) | def reset_parameters(self) -> None:
    method from_config (line 93) | def from_config(cls, cfg):
    method forward (line 119) | def forward(self, features, targets=None):

FILE: fast_reid/fastreid/modeling/losses/circle_loss.py
  function pairwise_circleloss (line 13) | def pairwise_circleloss(
  function pairwise_cosface (line 46) | def pairwise_cosface(

FILE: fast_reid/fastreid/modeling/losses/cross_entroy_loss.py
  function log_accuracy (line 12) | def log_accuracy(pred_class_logits, gt_classes, topk=(1,)):
  function cross_entropy_loss (line 31) | def cross_entropy_loss(pred_class_outputs, gt_classes, eps, alpha=0.2):

FILE: fast_reid/fastreid/modeling/losses/focal_loss.py
  function focal_loss (line 14) | def focal_loss(

FILE: fast_reid/fastreid/modeling/losses/triplet_loss.py
  function softmax_weights (line 13) | def softmax_weights(dist, mask):
  function hard_example_mining (line 21) | def hard_example_mining(dist_mat, is_pos, is_neg):
  function weighted_example_mining (line 50) | def weighted_example_mining(dist_mat, is_pos, is_neg):
  function triplet_loss (line 76) | def triplet_loss(embedding, targets, margin, norm_feat, hard_mining):

FILE: fast_reid/fastreid/modeling/losses/utils.py
  function concat_all_gather (line 11) | def concat_all_gather(tensor):
  function normalize (line 24) | def normalize(x, axis=-1):
  function euclidean_dist (line 35) | def euclidean_dist(x, y):
  function cosine_dist (line 44) | def cosine_dist(x, y):

FILE: fast_reid/fastreid/modeling/meta_arch/baseline.py
  class Baseline (line 18) | class Baseline(nn.Module):
    method __init__ (line 26) | def __init__(
    method from_config (line 57) | def from_config(cls, cfg):
    method device (line 96) | def device(self):
    method forward (line 99) | def forward(self, batched_inputs):
    method preprocess_image (line 119) | def preprocess_image(self, batched_inputs):
    method losses (line 133) | def losses(self, outputs, gt_labels):

FILE: fast_reid/fastreid/modeling/meta_arch/build.py
  function build_model (line 18) | def build_model(cfg):

FILE: fast_reid/fastreid/modeling/meta_arch/distiller.py
  class Distiller (line 20) | class Distiller(Baseline):
    method __init__ (line 21) | def __init__(self, cfg):
    method _momentum_update_key_encoder (line 78) | def _momentum_update_key_encoder(self, m=0.999):
    method forward (line 85) | def forward(self, batched_inputs):
    method losses (line 114) | def losses(self, s_outputs, t_outputs, gt_labels):
    method _kldiv (line 132) | def _kldiv(y_s, y_t, t):
    method jsdiv_loss (line 138) | def jsdiv_loss(self, y_s, y_t, t=16):

FILE: fast_reid/fastreid/modeling/meta_arch/mgn.py
  class MGN (line 21) | class MGN(nn.Module):
    method __init__ (line 29) | def __init__(
    method from_config (line 95) | def from_config(cls, cfg):
    method device (line 193) | def device(self):
    method forward (line 196) | def forward(self, batched_inputs):
    method preprocess_image (line 245) | def preprocess_image(self, batched_inputs):
    method losses (line 259) | def losses(self,

FILE: fast_reid/fastreid/modeling/meta_arch/moco.py
  class MoCo (line 18) | class MoCo(Baseline):
    method __init__ (line 19) | def __init__(self, cfg):
    method losses (line 27) | def losses(self, outputs, gt_labels):
  class Memory (line 42) | class Memory(nn.Module):
    method __init__ (line 48) | def __init__(self, dim=512, K=65536):
    method _dequeue_and_enqueue (line 67) | def _dequeue_and_enqueue(self, keys, targets):
    method forward (line 88) | def forward(self, feat_q, targets):
    method _pairwise_cosface (line 105) | def _pairwise_cosface(self, feat_q, targets):

FILE: fast_reid/fastreid/solver/build.py
  class GradientClipType (line 26) | class GradientClipType(Enum):
  function _create_gradient_clipper (line 31) | def _create_gradient_clipper(cfg: CfgNode) -> _GradientClipper:
  function _generate_optimizer_class_with_gradient_clipping (line 51) | def _generate_optimizer_class_with_gradient_clipping(
  function maybe_add_gradient_clipping (line 86) | def maybe_add_gradient_clipping(
  function _generate_optimizer_class_with_freeze_layer (line 120) | def _generate_optimizer_class_with_freeze_layer(
  function maybe_add_freeze_layer (line 157) | def maybe_add_freeze_layer(
  function build_optimizer (line 180) | def build_optimizer(cfg, model, contiguous=True):
  function get_default_optimizer_params (line 211) | def get_default_optimizer_params(
  function build_lr_scheduler (line 312) | def build_lr_scheduler(cfg, optimizer, iters_per_epoch):

FILE: fast_reid/fastreid/solver/lr_scheduler.py
  class WarmupLR (line 13) | class WarmupLR(torch.optim.lr_scheduler._LRScheduler):
    method __init__ (line 14) | def __init__(
    method get_lr (line 27) | def get_lr(self) -> List[float]:
    method _compute_values (line 35) | def _compute_values(self) -> List[float]:
  function _get_warmup_factor_at_epoch (line 40) | def _get_warmup_factor_at_epoch(

FILE: fast_reid/fastreid/solver/optim/lamb.py
  function log_lamb_rs (line 12) | def log_lamb_rs(optimizer: Optimizer, event_writer: SummaryWriter, token...
  class Lamb (line 26) | class Lamb(Optimizer):
    method __init__ (line 44) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-6,
    method step (line 59) | def step(self, closure=None):

FILE: fast_reid/fastreid/solver/optim/radam.py
  class RAdam (line 7) | class RAdam(Optimizer):
    method __init__ (line 9) | def __init__(self, params, lr=0.001, betas=(0.9, 0.999), eps=1e-8, wei...
    method __setstate__ (line 14) | def __setstate__(self, state):
    method step (line 17) | def step(self, closure=None):
  class PlainRAdam (line 85) | class PlainRAdam(Optimizer):
    method __init__ (line 87) | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weig...
    method __setstate__ (line 92) | def __setstate__(self, state):
    method step (line 95) | def step(self, closure=None):

FILE: fast_reid/fastreid/solver/optim/swa.py
  class SWA (line 16) | class SWA(Optimizer):
    method __init__ (line 17) | def __init__(self, optimizer, swa_freq=None, swa_lr_factor=None):
    method _check_params (line 118) | def _check_params(swa_freq):
    method reset_lr_to_swa (line 130) | def reset_lr_to_swa(self):
    method update_swa_group (line 134) | def update_swa_group(self, group):
    method update_swa (line 163) | def update_swa(self):
    method swap_swa_param (line 169) | def swap_swa_param(self):
    method step (line 190) | def step(self, closure=None):
    method state_dict (line 203) | def state_dict(self):
    method load_state_dict (line 221) | def load_state_dict(self, state_dict):
    method add_param_group (line 235) | def add_param_group(self, param_group):

FILE: fast_reid/fastreid/utils/checkpoint.py
  class _IncompatibleKeys (line 20) | class _IncompatibleKeys(
  class Checkpointer (line 37) | class Checkpointer(object):
    method __init__ (line 43) | def __init__(
    method save (line 72) | def save(self, name: str, **kwargs: Dict[str, str]):
    method load (line 97) | def load(self, path: str, checkpointables: Optional[List[str]] = None)...
    method has_checkpoint (line 138) | def has_checkpoint(self):
    method get_checkpoint_file (line 146) | def get_checkpoint_file(self):
    method get_all_checkpoint_files (line 161) | def get_all_checkpoint_files(self):
    method resume_or_load (line 175) | def resume_or_load(self, path: str, *, resume: bool = True):
    method tag_last_checkpoint (line 193) | def tag_last_checkpoint(self, last_filename_basename: str):
    method _load_file (line 204) | def _load_file(self, f: str):
    method _load_model (line 218) | def _load_model(self, checkpoint: Any):
    method _log_incompatible_keys (line 251) | def _log_incompatible_keys(self, incompatible: _IncompatibleKeys) -> N...
    method _convert_ndarray_to_tensor (line 274) | def _convert_ndarray_to_tensor(self, state_dict: dict):
  class PeriodicCheckpointer (line 298) | class PeriodicCheckpointer:
    method __init__ (line 305) | def __init__(self, checkpointer: Any, period: int, max_epoch: int = No...
    method step (line 319) | def step(self, epoch: int, **kwargs: Any):
    method save (line 348) | def save(self, name: str, **kwargs: Any):
  function _filter_reused_missing_keys (line 361) | def _filter_reused_missing_keys(model: nn.Module, keys: List[str]) -> Li...
  function get_missing_parameters_message (line 381) | def get_missing_parameters_message(keys: List[str]) -> str:
  function get_unexpected_parameters_message (line 399) | def get_unexpected_parameters_message(keys: List[str]) -> str:
  function _strip_prefix_if_present (line 417) | def _strip_prefix_if_present(state_dict: Dict[str, Any], prefix: str) ->...
  function _group_checkpoint_keys (line 451) | def _group_checkpoint_keys(keys: List[str]) -> Dict[str, List[str]]:
  function _group_to_str (line 473) | def _group_to_str(group: List[str]) -> str:
  function _named_modules_with_dup (line 491) | def _named_modules_with_dup(

FILE: fast_reid/fastreid/utils/collect_env.py
  function collect_torch_env (line 25) | def collect_torch_env():
  function get_env_module (line 37) | def get_env_module():
  function detect_compute_compatibility (line 42) | def detect_compute_compatibility(CUDA_HOME, so_file):
  function collect_env_info (line 63) | def collect_env_info():

FILE: fast_reid/fastreid/utils/comm.py
  function get_world_size (line 20) | def get_world_size() -> int:
  function get_rank (line 28) | def get_rank() -> int:
  function get_local_rank (line 36) | def get_local_rank() -> int:
  function get_local_size (line 49) | def get_local_size() -> int:
  function is_main_process (line 62) | def is_main_process() -> bool:
  function synchronize (line 66) | def synchronize():
  function _get_global_gloo_group (line 82) | def _get_global_gloo_group():
  function _serialize_to_tensor (line 93) | def _serialize_to_tensor(data, group):
  function _pad_to_largest_tensor (line 111) | def _pad_to_largest_tensor(tensor, group):
  function all_gather (line 138) | def all_gather(data, group=None):
  function gather (line 174) | def gather(data, dst=0, group=None):
  function shared_random_seed (line 215) | def shared_random_seed():
  function reduce_dict (line 228) | def reduce_dict(input_dict, average=True):

FILE: fast_reid/fastreid/utils/compute_dist.py
  function build_dist (line 31) | def build_dist(feat_1: torch.Tensor, feat_2: torch.Tensor, metric: str =...
  function k_reciprocal_neigh (line 57) | def k_reciprocal_neigh(initial_rank, i, k1):
  function compute_jaccard_distance (line 65) | def compute_jaccard_distance(features, k1=20, k2=6, search_option=0, fp1...
  function compute_euclidean_distance (line 177) | def compute_euclidean_distance(features, others):
  function compute_cosine_distance (line 189) | def compute_cosine_distance(features, others):

FILE: fast_reid/fastreid/utils/env.py
  function seed_all_rng (line 21) | def seed_all_rng(seed=None):
  function _import_file (line 41) | def _import_file(module_name, file_path, make_importable=False):
  function _configure_libraries (line 50) | def _configure_libraries():
  function setup_environment (line 84) | def setup_environment():
  function setup_custom_environment (line 106) | def setup_custom_environment(custom_module):

FILE: fast_reid/fastreid/utils/events.py
  function get_event_storage (line 24) | def get_event_storage():
  class EventWriter (line 36) | class EventWriter:
    method write (line 41) | def write(self):
    method close (line 44) | def close(self):
  class JSONWriter (line 48) | class JSONWriter(EventWriter):
    method __init__ (line 88) | def __init__(self, json_file, window_size=20):
    method write (line 99) | def write(self):
    method close (line 121) | def close(self):
  class TensorboardXWriter (line 125) | class TensorboardXWriter(EventWriter):
    method __init__ (line 130) | def __init__(self, log_dir: str, window_size: int = 20, **kwargs):
    method write (line 143) | def write(self):
    method close (line 169) | def close(self):
  class CommonMetricPrinter (line 174) | class CommonMetricPrinter(EventWriter):
    method __init__ (line 183) | def __init__(self, max_iter):
    method write (line 193) | def write(self):
  class EventStorage (line 258) | class EventStorage:
    method __init__ (line 264) | def __init__(self, start_iter=0):
    method put_image (line 277) | def put_image(self, img_name, img_tensor):
    method put_scalar (line 291) | def put_scalar(self, name, value, smoothing_hint=True):
    method put_scalars (line 316) | def put_scalars(self, *, smoothing_hint=True, **kwargs):
    method put_histogram (line 325) | def put_histogram(self, hist_name, hist_tensor, bins=1000):
    method history (line 354) | def history(self, name):
    method histories (line 364) | def histories(self):
    method latest (line 371) | def latest(self):
    method latest_with_smoothing_hint (line 379) | def latest_with_smoothing_hint(self, window_size=20):
    method smoothing_hints (line 395) | def smoothing_hints(self):
    method step (line 403) | def step(self):
    method iter (line 412) | def iter(self):
    method iter (line 421) | def iter(self, val):
    method iteration (line 425) | def iteration(self):
    method __enter__ (line 429) | def __enter__(self):
    method __exit__ (line 433) | def __exit__(self, exc_type, exc_val, exc_tb):
    method name_scope (line 438) | def name_scope(self, name):
    method clear_images (line 449) | def clear_images(self):
    method clear_histograms (line 456) | def clear_histograms(self):

FILE: fast_reid/fastreid/utils/faiss_utils.py
  function swig_ptr_from_FloatTensor (line 8) | def swig_ptr_from_FloatTensor(x):
  function swig_ptr_from_LongTensor (line 16) | def swig_ptr_from_LongTensor(x):
  function search_index_pytorch (line 24) | def search_index_pytorch(index, x, k, D=None, I=None):
  function search_raw_array_pytorch (line 49) | def search_raw_array_pytorch(res, xb, xq, k, D=None, I=None, metric=fais...
  function index_init_gpu (line 107) | def index_init_gpu(ngpus, feat_dim):
  function index_init_cpu (line 126) | def index_init_cpu(feat_dim):

FILE: fast_reid/fastreid/utils/file_io.py
  function get_cache_dir (line 23) | def get_cache_dir(cache_dir: Optional[str] = None) -> str:
  class PathHandler (line 40) | class PathHandler:
    method _check_kwargs (line 49) | def _check_kwargs(self, kwargs: Dict[str, Any]) -> None:
    method _get_supported_prefixes (line 67) | def _get_supported_prefixes(self) -> List[str]:
    method _get_local_path (line 74) | def _get_local_path(self, path: str, **kwargs: Any) -> str:
    method _open (line 88) | def _open(
    method _copy (line 107) | def _copy(
    method _exists (line 125) | def _exists(self, path: str, **kwargs: Any) -> bool:
    method _isfile (line 135) | def _isfile(self, path: str, **kwargs: Any) -> bool:
    method _isdir (line 145) | def _isdir(self, path: str, **kwargs: Any) -> bool:
    method _ls (line 155) | def _ls(self, path: str, **kwargs: Any) -> List[str]:
    method _mkdirs (line 165) | def _mkdirs(self, path: str, **kwargs: Any) -> None:
    method _rm (line 175) | def _rm(self, path: str, **kwargs: Any) -> None:
  class NativePathHandler (line 184) | class NativePathHandler(PathHandler):
    method _get_local_path (line 190) | def _get_local_path(self, path: str, **kwargs: Any) -> str:
    method _open (line 194) | def _open(
    method _copy (line 254) | def _copy(
    method _exists (line 285) | def _exists(self, path: str, **kwargs: Any) -> bool:
    method _isfile (line 289) | def _isfile(self, path: str, **kwargs: Any) -> bool:
    method _isdir (line 293) | def _isdir(self, path: str, **kwargs: Any) -> bool:
    method _ls (line 297) | def _ls(self, path: str, **kwargs: Any) -> List[str]:
    method _mkdirs (line 301) | def _mkdirs(self, path: str, **kwargs: Any) -> None:
    method _rm (line 310) | def _rm(self, path: str, **kwargs: Any) -> None:
  class PathManager (line 315) | class PathManager:
    method __get_path_handler (line 324) | def __get_path_handler(path: str) -> PathHandler:
    method open (line 339) | def open(
    method copy (line 361) | def copy(
    method get_local_path (line 383) | def get_local_path(path: str, **kwargs: Any) -> str:
    method exists (line 399) | def exists(path: str, **kwargs: Any) -> bool:
    method isfile (line 412) | def isfile(path: str, **kwargs: Any) -> bool:
    method isdir (line 425) | def isdir(path: str, **kwargs: Any) -> bool:
    method ls (line 438) | def ls(path: str, **kwargs: Any) -> List[str]:
    method mkdirs (line 451) | def mkdirs(path: str, **kwargs: Any) -> None:
    method rm (line 464) | def rm(path: str, **kwargs: Any) -> None:
    method register_handler (line 475) | def register_handler(handler: PathHandler) -> None:
    method set_strict_kwargs_checking (line 498) | def set_strict_kwargs_checking(enable: bool) -> None:

FILE: fast_reid/fastreid/utils/history_buffer.py
  class HistoryBuffer (line 8) | class HistoryBuffer:
    method __init__ (line 14) | def __init__(self, max_length: int = 1000000):
    method update (line 26) | def update(self, value: float, iteration: float = None):
    method latest (line 41) | def latest(self):
    method median (line 47) | def median(self, window_size: int):
    method avg (line 53) | def avg(self, window_size: int):
    method global_avg (line 59) | def global_avg(self):
    method values (line 66) | def values(self):

FILE: fast_reid/fastreid/utils/logger.py
  class _ColorfulFormatter (line 14) | class _ColorfulFormatter(logging.Formatter):
    method __init__ (line 15) | def __init__(self, *args, **kwargs):
    method formatMessage (line 22) | def formatMessage(self, record):
  function setup_logger (line 35) | def setup_logger(
  function _cached_log_stream (line 96) | def _cached_log_stream(filename):
  function _find_caller (line 107) | def _find_caller():
  function log_first_n (line 128) | def log_first_n(lvl, msg, n=1, *, name=None, key="caller"):
  function log_every_n (line 162) | def log_every_n(lvl, msg, n=1, *, name=None):
  function log_every_n_seconds (line 177) | def log_every_n_seconds(lvl, msg, n=1, *, name=None):

FILE: fast_reid/fastreid/utils/params.py
  class ContiguousParams (line 14) | class ContiguousParams:
    method __init__ (line 16) | def __init__(self, parameters):
    method _init_buffers (line 31) | def _init_buffers(self):
    method make_params_contiguous (line 53) | def make_params_contiguous(self):
    method contiguous (line 72) | def contiguous(self):
    method original (line 81) | def original(self):
    method buffer_is_valid (line 85) | def buffer_is_valid(self):
    method assert_buffer_is_valid (line 98) | def assert_buffer_is_valid(self):

FILE: fast_reid/fastreid/utils/precision_bn.py
  function update_bn_stats (line 20) | def update_bn_stats(model, data_loader, num_iters: int = 200):
  function get_bn_modules (line 80) | def get_bn_modules(model):

FILE: fast_reid/fastreid/utils/registry.py
  class Registry (line 7) | class Registry(object):
    method __init__ (line 24) | def __init__(self, name: str) -> None:
    method _do_register (line 32) | def _do_register(self, name: str, obj: object) -> None:
    method register (line 40) | def register(self, obj: object = None) -> Optional[object]:
    method get (line 58) | def get(self, name: str) -> object:

FILE: fast_reid/fastreid/utils/summary.py
  function summary (line 15) | def summary(model, input_size, batch_size=-1, device="cuda"):

FILE: fast_reid/fastreid/utils/timer.py
  class Timer (line 8) | class Timer:
    method __init__ (line 13) | def __init__(self):
    method reset (line 16) | def reset(self):
    method pause (line 25) | def pause(self):
    method is_paused (line 33) | def is_paused(self) -> bool:
    method resume (line 40) | def resume(self):
    method seconds (line 50) | def seconds(self) -> float:
    method avg_seconds (line 62) | def avg_seconds(self) -> float:

FILE: fast_reid/fastreid/utils/visualizer.py
  class Visualizer (line 20) | class Visualizer:
    method __init__ (line 23) | def __init__(self, dataset):
    method get_model_output (line 26) | def get_model_output(self, all_ap, dist, q_pids, g_pids, q_camids, g_c...
    method get_matched_result (line 40) | def get_matched_result(self, q_index):
    method save_rank_result (line 51) | def save_rank_result(self, query_indices, output, max_rank=5, vis_labe...
    method vis_rank_list (line 138) | def vis_rank_list(self, output, vis_label, num_vis=100, rank_sort="asc...
    method vis_roc_curve (line 159) | def vis_roc_curve(self, output):
    method plot_roc_curve (line 185) | def plot_roc_curve(fpr, tpr, name='model', fig=None):
    method plot_distribution (line 198) | def plot_distribution(pos, neg, name='model', fig=None):
    method save_roc_info (line 225) | def save_roc_info(output, fpr, tpr, pos, neg):
    method load_roc_info (line 236) | def load_roc_info(path):

FILE: fast_reid/projects/FastAttr/fastattr/attr_dataset.py
  class AttrDataset (line 13) | class AttrDataset(Dataset):
    method __init__ (line 16) | def __init__(self, img_items, transform, attr_dict):
    method __len__ (line 21) | def __len__(self):
    method __getitem__ (line 24) | def __getitem__(self, index):
    method num_classes (line 39) | def num_classes(self):
    method sample_weights (line 43) | def sample_weights(self):

FILE: fast_reid/projects/FastAttr/fastattr/attr_evaluation.py
  class AttrEvaluator (line 18) | class AttrEvaluator(DatasetEvaluator):
    method __init__ (line 19) | def __init__(self, cfg, attr_dict, thres=0.5, output_dir=None):
    method reset (line 30) | def reset(self):
    method process (line 34) | def process(self, inputs, outputs):
    method get_attr_metrics (line 39) | def get_attr_metrics(gt_labels, pred_logits, thres):
    method evaluate (line 79) | def evaluate(self):

FILE: fast_reid/projects/FastAttr/fastattr/config.py
  function add_attr_config (line 10) | def add_attr_config(cfg):

FILE: fast_reid/projects/FastAttr/fastattr/datasets/bases.py
  class Dataset (line 17) | class Dataset(object):
    method __init__ (line 19) | def __init__(
    method num_attrs (line 43) | def num_attrs(self):
    method attr_dict (line 47) | def attr_dict(self):
    method __len__ (line 50) | def __len__(self):
    method __getitem__ (line 53) | def __getitem__(self, index):
    method check_before_run (line 56) | def check_before_run(self, required_files):
    method combine_all (line 68) | def combine_all(self):
    method show_train (line 86) | def show_train(self):
    method show_test (line 112) | def show_test(self):

FILE: fast_reid/projects/FastAttr/fastattr/datasets/dukemtmcattr.py
  class DukeMTMCAttr (line 19) | class DukeMTMCAttr(Dataset):
    method __init__ (line 38) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 61) | def process_dir(self, dir_path, annotation, sorted_attrs):

FILE: fast_reid/projects/FastAttr/fastattr/datasets/market1501attr.py
  class Market1501Attr (line 20) | class Market1501Attr(Dataset):
    method __init__ (line 40) | def __init__(self, root='datasets', market1501_500k=False, **kwargs):
    method process_dir (line 74) | def process_dir(self, dir_path, annotation, sorted_attrs):

FILE: fast_reid/projects/FastAttr/fastattr/datasets/pa100k.py
  class PA100K (line 18) | class PA100K(Dataset):
    method __init__ (line 28) | def __init__(self, root='', **kwargs):
    method extract_data (line 42) | def extract_data(self):

FILE: fast_reid/projects/FastAttr/fastattr/modeling/attr_baseline.py
  class AttrBaseline (line 13) | class AttrBaseline(Baseline):
    method from_config (line 16) | def from_config(cls, cfg):
    method losses (line 25) | def losses(self, outputs, gt_labels):

FILE: fast_reid/projects/FastAttr/fastattr/modeling/attr_head.py
  class AttrHead (line 17) | class AttrHead(EmbeddingHead):
    method __init__ (line 18) | def __init__(self, cfg):
    method forward (line 25) | def forward(self, features, targets=None):

FILE: fast_reid/projects/FastAttr/fastattr/modeling/bce_loss.py
  function ratio2weight (line 11) | def ratio2weight(targets, ratio):
  function cross_entropy_sigmoid_loss (line 20) | def cross_entropy_sigmoid_loss(pred_class_logits, gt_classes, sample_wei...

FILE: fast_reid/projects/FastAttr/train_net.py
  class AttrTrainer (line 23) | class AttrTrainer(DefaultTrainer):
    method build_model (line 27) | def build_model(cls, cfg):
    method build_train_loader (line 43) | def build_train_loader(cls, cfg):
    method build_test_loader (line 66) | def build_test_loader(cls, cfg, dataset_name):
    method build_evaluator (line 79) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
  function setup (line 84) | def setup(args):
  function main (line 97) | def main(args):

FILE: fast_reid/projects/FastClas/fastclas/bee_ant.py
  class Hymenoptera (line 18) | class Hymenoptera(ImageDataset):
    method __init__ (line 25) | def __init__(self, root='datasets', **kwargs):
    method process_dir (line 43) | def process_dir(self, data_dir):

FILE: fast_reid/projects/FastClas/fastclas/dataset.py
  class ClasDataset (line 12) | class ClasDataset(Dataset):
    method __init__ (line 15) | def __init__(self, img_items, transform=None, idx_to_class=None):
    method __len__ (line 32) | def __len__(self):
    method __getitem__ (line 35) | def __getitem__(self, index):
    method num_classes (line 49) | def num_classes(self):

FILE: fast_reid/projects/FastClas/fastclas/trainer.py
  class ClasTrainer (line 22) | class ClasTrainer(DefaultTrainer):
    method build_train_loader (line 26) | def build_train_loader(cls, cfg):
    method build_test_loader (line 50) | def build_test_loader(cls, cfg, dataset_name):
    method build_evaluator (line 67) | def build_evaluator(cls, cfg, dataset_name, output_dir=None):
    method auto_scale_hyperparams (line 72) | def auto_scale_hyperparams(cfg, num_classes):

FILE: fast_reid/projects/FastClas/train_net.py
  function setup (line 22) | def setup(args):
  function main (line 34) | def main(args):

FILE: fast_reid/projects/FastDistill/fastdistill/overhaul.py
  function distillation_loss (line 20) | def distillation_loss(source, target, margin):
  function build_feature_connector (line 27) | def build_feature_connector(t_channel, s_channel):
  function get_margin_from_BN (line 42) | def get_margin_from_BN(bn):
  class DistillerOverhaul (line 59) | class DistillerOverhaul(Distiller):
    method __init__ (line 60) | def __init__(self, cfg):
    method forward (line 77) | def forward(self, batched_inputs):
    method losses (line 108) | def losses(self, s_outputs, s_feats, t_outputs, t_feats_list, gt_labels):

FILE: fast_reid/projects/FastDistill/fastdistill/resnet_distill.py
  class BasicBlock (line 37) | class BasicBlock(nn.Module):
    method __init__ (line 40) | def __init__(self, inplanes, planes, bn_norm, with_ibn=False, with_se=...
    method forward (line 58) | def forward(self, x):
  class Bottleneck (line 79) | class Bottleneck(nn.Module):
    method __init__ (line 82) | def __init__(self, inplanes, planes, bn_norm, with_ibn=False, with_se=...
    method forward (line 103) | def forward(self, x):
  class ResNet (line 128) | class ResNet(nn.Module):
    method __init__ (line 129) | def __init__(self, last_stride, bn_norm, with_ibn, with_se, with_nl, b...
    method _make_layer (line 146) | def _make_layer(self, block, planes, blocks, stride=1, bn_norm="BN", w...
    method forward (line 164) | def forward(self, x):
    method random_init (line 178) | def random_init(self):
    method get_bn_before_relu (line 187) | def get_bn_before_relu(self):
    method extract_feature (line 202) | def extract_feature(self, x, preReLU=False):
    method get_channel_nums (line 221) | def get_channel_nums(self):
  function init_pretrained_weights (line 225) | def init_pretrained_weights(key):
  function build_resnet_backbone_distill (line 277) | def build_resnet_backbone_distill(cfg):

FILE: fast_reid/projects/FastDistill/train_net.py
  function setup (line 17) | def setup(args):
  function main (line 29) | def main(args):

FILE: fast_reid/projects/FastFace/fastface/config.py
  function add_face_cfg (line 10) | def add_face_cfg(cfg):

FILE: fast_reid/projects/FastFace/fastface/datasets/ms1mv2.py
  class MS1MV2 (line 15) | class MS1MV2(ImageDataset):
    method __init__ (line 19) | def __init__(self, root="datasets", **kwargs):
    method process_dirs (line 29) | def process_dirs(self):

FILE: fast_reid/projects/FastFace/fastface/datasets/test_dataset.py
  class CPLFW (line 19) | class CPLFW(ImageDataset):
    method __init__ (line 23) | def __init__(self, root='datasets', **kwargs):
  class VGG2_FP (line 41) | class VGG2_FP(CPLFW):
  class AgeDB_30 (line 46) | class AgeDB_30(CPLFW):
  class CALFW (line 51) | class CALFW(CPLFW):
  class CFP_FF (line 56) | class CFP_FF(CPLFW):
  class CFP_FP (line 61) | class CFP_FP(CPLFW):
  class LFW (line 66) | class LFW(CPLFW):

FILE: fast_reid/projects/FastFace/fastface/face_data.py
  class MXFaceDataset (line 25) | class MXFaceDataset(Dataset):
    method __init__ (line 26) | def __init__(self, path_imgrec, transforms):
    method __getitem__ (line 45) | def __getitem__(self, index):
    method __len__ (line 62) | def __len__(self):
    method num_classes (line 67) | def num_classes(self):
  class TestFaceDataset (line 71) | class TestFaceDataset(CommDataset):
    method __init__ (line 72) | def __init__(self, img_items, labels):
    method __getitem__ (line 76) | def __getitem__(self, index):

FILE: fast_reid/projects/FastFace/fastface/face_evaluator.py
  function gen_plot (line 26) | def gen_plot(fpr, tpr):
  class FaceEvaluator (line 40) | class FaceEvaluator(DatasetEvaluator):
    method __init__ (line 41) | def __init__(self, cfg, labels, dataset_name, output_dir=None):
    method reset (line 49) | def reset(self):
    method process (line 52) | def process(self, inputs, outputs):
    method evaluate (line 55) | def evaluate(self):

FILE: fast_reid/projects/FastFace/fastface/modeling/face_baseline.py
  class FaceBaseline (line 13) | class FaceBaseline(Baseline):
    method __init__ (line 14) | def __init__(self, cfg):
    method forward (line 19) | def forward(self, batched_inputs):

FILE: fast_reid/projects/FastFace/fastface/modeling/face_head.py
  class FaceHead (line 13) | class FaceHead(EmbeddingHead):
    method __init__ (line 14) | def __init__(self, cfg):
    method forward (line 22) | def forward(self, features, targets=None):

FILE: fast_reid/projects/FastFace/fastface/modeling/iresnet.py
  function conv3x3 (line 14) | def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
  function conv1x1 (line 20) | def conv1x1(in_planes, out_planes, stride=1):
  class IBasicBlock (line 29) | class IBasicBlock(nn.Module):
    method __init__ (line 32) | def __init__(self, inplanes, planes, bn_norm, stride=1, downsample=None,
    method forward (line 48) | def forward(self, x):
  class IResNet (line 62) | class IResNet(nn.Module):
    method __init__ (line 65) | def __init__(self, block, layers, bn_norm, dropout=0, zero_init_residu...
    method _make_layer (line 115) | def _make_layer(self, block, planes, blocks, bn_norm, stride=1, dilate...
    method forward (line 142) | def forward(self, x):
  function build_iresnet_backbone (line 156) | def build_iresnet_backbone(cfg):

FILE: fast_reid/projects/FastFace/fastface/modeling/partial_fc.py
  class PartialFC (line 20) | class PartialFC(nn.Module):
    method __init__ (line 28) | def __init__(
    method forward (line 69) | def forward(self, total_features):
    method forward_backward (line 77) | def forward_backward(self, features, targets, optimizer):
    method sample (line 141) | def sample(self, total_targets):
    method update (line 164) | def update(self):
    method prepare (line 168) | def prepare(self, targets, optimizer):

FILE: fast_reid/projects/FastFace/fastface/pfc_checkpointer.py
  class PfcPeriodicCheckpointer (line 18) | class PfcPeriodicCheckpointer(PeriodicCheckpointer):
    method step (line 20) | def step(self, epoch: int, **kwargs: Any):
  class PfcCheckpointer (line 30) | class PfcCheckpointer(Checkpointer):
    method __init__ (line 31) | def __init__(self, model, save_dir, *, save_to_disk=True, **checkpoint...
    method save (line 35) | def save(self, name: str, **kwargs: Dict[str, str]):
    method _load_model (line 56) | def _load_model(self, checkpoint: Any):
    method has_checkpoint (line 62) | def has_checkpoint(self):
    method get_checkpoint_file (line 66) | def get_checkpoint_file(self):
    method tag_last_checkpoint (line 81) | def tag_last_checkpoint(self, last_filename_basename: str):

FILE: fast_reid/projects/FastFace/fastface/trainer.py
  class FaceTrainer (line 32) | class FaceTrainer(DefaultTrainer):
    method __init__ (line 33) | def __init__(self, cfg):
    method build_hooks (line 110) | def build_hooks(self):
    method resume_or_load (line 125) | def resume_or_load(self, resume=True):
    method build_train_loader (line 133) | def build_train_loader(cls, cfg):
    method build_test_loader (line 143) | def build_test_loader(cls, cfg, dataset_name):
    method build_evaluator (line 150) | def build_evaluator(cls, cfg, dataset_name, output_dir=None):
  class PFCTrainer (line 157) | class PFCTrainer(SimpleTrainer):
    method __init__ (line 167) | def __init__(self, model, data_loader, optimizer, param_wrapper, pfc_m...
    method run_step (line 177) | def run_step(self):

FILE: fast_reid/projects/FastFace/fastface/utils_amp.py
  class _MultiDeviceReplicator (line 14) | class _MultiDeviceReplicator(object):
    method __init__ (line 19) | def __init__(self, master_tensor: torch.Tensor) -> None:
    method get (line 24) | def get(self, device) -> torch.Tensor:
  class MaxClipGradScaler (line 32) | class MaxClipGradScaler(GradScaler):
    method __init__ (line 33) | def __init__(self, init_scale, max_scale: float, growth_interval=100):
    method scale_clip (line 37) | def scale_clip(self):
    method scale (line 46) | def scale(self, outputs):

FILE: fast_reid/projects/FastFace/fastface/verification.py
  function calculate_roc (line 35) | def calculate_roc(thresholds, embeddings1, embeddings2, actual_issame, n...
  function calculate_accuracy (line 91) | def calculate_accuracy(threshold, dist, actual_issame):
  function calculate_val (line 104) | def calculate_val(thresholds, embeddings1, embeddings2, actual_issame, f...
  function calculate_val_far (line 148) | def calculate_val_far(threshold, dist, actual_issame):
  function evaluate (line 159) | def evaluate(embeddings, actual_issame, nrof_folds=10, pca=0):

FILE: fast_reid/projects/FastFace/train_net.py
  function setup (line 19) | def setup(args):
  function main (line 32) | def main(args):

FILE: fast_reid/projects/FastRT/demo/inference.cpp
  function main (line 33) | int main(int argc, char** argv) {

FILE: fast_reid/projects/FastRT/fastrt/backbones/sbs_resnet.cpp
  type fastrt (line 8) | namespace fastrt {
    function ILayer (line 9) | ILayer* backbone_sbsR18_distill::topology(INetworkDefinition *network,...
    function ILayer (line 57) | ILayer* backbone_sbsR34_distill::topology(INetworkDefinition *network,...
    function ILayer (line 113) | ILayer* backbone_sbsR50_distill::topology(INetworkDefinition *network,...
    function ILayer (line 189) | ILayer* backbone_sbsR34::topology(INetworkDefinition *network, std::ma...
    function ILayer (line 242) | ILayer* backbone_sbsR50::topology(INetworkDefinition *network, std::ma...

FILE: fast_reid/projects/FastRT/fastrt/common/utils.cpp
  type io (line 5) | namespace io {
    function fileGlob (line 7) | std::vector<std::string> fileGlob(const std::string& pattern){
  type trt (line 20) | namespace trt {
    function loadWeights (line 22) | std::map<std::string, nvinfer1::Weights> loadWeights(const std::string...
  type fastrt (line 68) | namespace fastrt {
    function BackboneTypetoString (line 70) | const std::string BackboneTypetoString(FastreidBackboneType value) {
    function HeadTypetoString (line 77) | const std::string HeadTypetoString(FastreidHeadType value) {
    function PoolingTypetoString (line 84) | const std::string PoolingTypetoString(FastreidPoolingType value) {

FILE: fast_reid/projects/FastRT/fastrt/engine/InferenceEngine.cpp
  type trt (line 4) | namespace trt {

FILE: fast_reid/projects/FastRT/fastrt/factory/factory.cpp
  type fastrt (line 8) | namespace fastrt {

FILE: fast_reid/projects/FastRT/fastrt/heads/embedding_head.cpp
  type fastrt (line 6) | namespace fastrt {
    function ILayer (line 14) | ILayer* embedding_head::topology(INetworkDefinition *network, std::map...

FILE: fast_reid/projects/FastRT/fastrt/layers/layers.cpp
  type trtxapi (line 7) | namespace trtxapi {
    function IActivationLayer (line 9) | IActivationLayer* addMinClamp(INetworkDefinition* network, ITensor& in...
    function ITensor (line 17) | ITensor* addDiv255(INetworkDefinition* network, std::map<std::string, ...
    function ITensor (line 28) | ITensor* addMeanStd(INetworkDefinition* network, std::map<std::string,...
    function IScaleLayer (line 48) | IScaleLayer* addBatchNorm2d(INetworkDefinition* network, std::map<std:...
    function IScaleLayer (line 81) | IScaleLayer* addInstanceNorm2d(INetworkDefinition* network, std::map<s...
    function IConcatenationLayer (line 147) | IConcatenationLayer* addIBN(INetworkDefinition* network, std::map<std:...
    function IActivationLayer (line 170) | IActivationLayer* basicBlock_ibn(INetworkDefinition *network, std::map...
    function IActivationLayer (line 213) | IActivationLayer* bottleneck_ibn(INetworkDefinition* network, std::map...
    function ILayer (line 264) | ILayer* distill_basicBlock_ibn(INetworkDefinition *network, std::map<s...
    function ILayer (line 307) | ILayer* distill_bottleneck_ibn(INetworkDefinition* network, std::map<s...
    function IShuffleLayer (line 359) | IShuffleLayer* addShuffle2(INetworkDefinition* network, ITensor& input...
    function IElementWiseLayer (line 372) | IElementWiseLayer* Non_local(INetworkDefinition* network, std::map<std...
    function IPoolingLayer (line 423) | IPoolingLayer* addAdaptiveAvgPool2d(INetworkDefinition* network, ITens...
    function IScaleLayer (line 438) | IScaleLayer* addGeneralizedMeanPooling(INetworkDefinition* network, IT...

FILE: fast_reid/projects/FastRT/fastrt/layers/poolingLayerRT.cpp
  type fastrt (line 5) | namespace fastrt {
    function ILayer (line 7) | ILayer* MaxPool::addPooling(INetworkDefinition *network, std::map<std:...
    function ILayer (line 15) | ILayer* AvgPool::addPooling(INetworkDefinition *network, std::map<std:...
    function ILayer (line 23) | ILayer* GemPool::addPooling(INetworkDefinition *network, std::map<std:...
    function ILayer (line 27) | ILayer* GemPoolP::addPooling(INetworkDefinition *network, std::map<std...

FILE: fast_reid/projects/FastRT/fastrt/layers/poolingLayerRT.h
  function namespace (line 5) | namespace fastrt {

FILE: fast_reid/projects/FastRT/fastrt/meta_arch/baseline.cpp
  type fastrt (line 4) | namespace fastrt {
    function ITensor (line 18) | ITensor* Baseline::preprocessing_gpu(INetworkDefinition* network, std:...

FILE: fast_reid/projects/FastRT/fastrt/meta_arch/model.cpp
  type fastrt (line 8) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/IPoolingLayerRT.h
  function namespace (line 8) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/InferenceEngine.h
  function class (line 25) | class InferenceEngine {

FILE: fast_reid/projects/FastRT/include/fastrt/baseline.h
  function namespace (line 9) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/calibrator.h
  function class (line 13) | class Int8EntropyCalibrator2 : public nvinfer1::IInt8EntropyCalibrator2

FILE: fast_reid/projects/FastRT/include/fastrt/embedding_head.h
  function namespace (line 10) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/factory.h
  function namespace (line 7) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/holder.h
  function T (line 30) | T* get() { return holder; }
  function explicit (line 31) | explicit operator bool() { return holder != nullptr; }

FILE: fast_reid/projects/FastRT/include/fastrt/logging.h
  function class (line 31) | class LogStreamConsumerBuffer : public std::stringbuf
  function class (line 106) | class LogStreamConsumerBase
  function std (line 160) | static std::string severityPrefix(Severity severity)
  function TestResult (line 213) | enum class TestResult
  function LogStreamConsumer (line 447) | inline LogStreamConsumer LOG_VERBOSE(const Logger& logger)
  function LogStreamConsumer (line 459) | inline LogStreamConsumer LOG_INFO(const Logger& logger)
  function LogStreamConsumer (line 471) | inline LogStreamConsumer LOG_WARN(const Logger& logger)
  function LogStreamConsumer (line 483) | inline LogStreamConsumer LOG_ERROR(const Logger& logger)
  function LogStreamConsumer (line 496) | inline LogStreamConsumer LOG_FATAL(const Logger& logger)

FILE: fast_reid/projects/FastRT/include/fastrt/model.h
  function virtual (line 62) | virtual ITensor* preprocessing_gpu(INetworkDefinition* network,

FILE: fast_reid/projects/FastRT/include/fastrt/module.h
  function namespace (line 8) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/sbs_resnet.h
  function namespace (line 9) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/struct.h
  function namespace (line 5) | namespace trt {
  function namespace (line 25) | namespace fastrt {

FILE: fast_reid/projects/FastRT/include/fastrt/utils.h
  function namespace (line 38) | namespace io {
  function read_files_in_dir (line 42) | static inline int read_files_in_dir(const char *p_dir_name, std::vector<...
  function namespace (line 62) | namespace trt {
  function namespace (line 73) | namespace fastrt {

FILE: fast_reid/projects/FastRT/pybind_interface/market_benchmark.py
  function map (line 29) | def map(wrapper):

FILE: fast_reid/projects/FastRT/pybind_interface/reid.cpp
  class ReID (line 43) | class ReID
  function PYBIND11_MODULE (line 161) | PYBIND11_MODULE(ReID, m) {

FILE: fast_reid/projects/FastRT/third_party/cnpy/cnpy.cpp
  function load_the_npy_file (line 178) | cnpy::NpyArray load_the_npy_file(FILE* fp) {
  function load_the_npz_array (line 191) | cnpy::NpyArray load_the_npz_array(FILE* fp, uint32_t compr_bytes, uint32...

FILE: fast_reid/projects/FastRT/third_party/cnpy/cnpy.h
  function namespace (line 22) | namespace cnpy {

FILE: fast_reid/projects/FastRT/third_party/cnpy/example1.cpp
  function main (line 12) | int main()

FILE: fast_reid/projects/FastRT/tools/gen_wts.py
  function setup_cfg (line 20) | def setup_cfg(args):
  function get_parser (line 27) | def get_parser():
  function gen_wts (line 62) | def gen_wts(args):

FILE: fast_reid/projects/FastRetri/fastretri/config.py
  function add_retri_config (line 8) | def add_retri_config(cfg):

FILE: fast_reid/projects/FastRetri/fastretri/datasets.py
  class Cars196 (line 16) | class Cars196(ImageDataset):
    method __init__ (line 20) | def __init__(self, root='datasets', **kwargs):
    method process_label_file (line 38) | def process_label_file(self, file, is_train):
  class CUB (line 54) | class CUB(Cars196):
  class SOP (line 60) | class SOP(Cars196):
  class InShop (line 66) | class InShop(Cars196):
    method __init__ (line 70) | def __init__(self, root="datasets", **kwargs):

FILE: fast_reid/projects/FastRetri/fastretri/retri_evaluator.py
  function recall_at_ks (line 24) | def recall_at_ks(query_features: torch.Tensor,
  class RetriEvaluator (line 83) | class RetriEvaluator(DatasetEvaluator):
    method __init__ (line 84) | def __init__(self, cfg, num_query, output_dir=None):
    method reset (line 94) | def reset(self):
    method process (line 98) | def process(self, inputs, outputs):
    method evaluate (line 102) | def evaluate(self):

FILE: fast_reid/projects/FastRetri/train_net.py
  class Trainer (line 20) | class Trainer(DefaultTrainer):
    method build_evaluator (line 23) | def build_evaluator(cls, cfg, dataset_name, output_dir=None):
  function setup (line 28) | def setup(args):
  function main (line 41) | def main(args):

FILE: fast_reid/projects/FastTune/autotuner/tune_hooks.py
  class TuneReportHook (line 14) | class TuneReportHook(EvalHook):
    method __init__ (line 15) | def __init__(self, eval_period, eval_function):
    method _do_eval (line 19) | def _do_eval(self):

FILE: fast_reid/projects/FastTune/tune_net.py
  class AutoTuner (line 40) | class AutoTuner(DefaultTrainer):
    method build_hooks (line 41) | def build_hooks(self):
    method build_model (line 78) | def build_model(cls, cfg):
  function setup (line 83) | def setup(args):
  function update_config (line 95) | def update_config(cfg, config):
  function train_tuner (line 115) | def train_tuner(config, checkpoint_dir=None, cfg=None):
  function main (line 129) | def main(args):

FILE: fast_reid/projects/NAIC20/naic/config.py
  function add_naic_config (line 8) | def add_naic_config(cfg):

FILE: fast_reid/projects/NAIC20/naic/naic_dataset.py
  class NAIC20_R2 (line 18) | class NAIC20_R2(ImageDataset):
    method __init__ (line 22) | def __init__(self, root="datasets", rm_lt=False, **kwargs):
    method process_train (line 44) | def process_train(self, label_path):
    method process_test (line 58) | def process_test(self, query_path, gallery_path):
    method remove_longtail (line 82) | def remove_longtail(cls, all_train):
  class NAIC20_R2CNV (line 98) | class NAIC20_R2CNV(NAIC20_R2, ImageDataset):
    method __init__ (line 102) | def __init__(self, root="datasets", rm_lt=False, **kwargs):
  class NAIC20_R1 (line 124) | class NAIC20_R1(NAIC20_R2):
    method __init__ (line 128) | def __init__(self, root="datasets", rm_lt=False, **kwargs):
  class NAIC20_R1CNV (line 148) | class NAIC20_R1CNV(NAIC20_R2):
    method __init__ (line 152) | def __init__(self, root="datasets", rm_lt=False, **kwargs):
  class NAIC19 (line 172) | class NAIC19(NAIC20_R2):
    method __init__ (line 176) | def __init__(self, root='datasets', rm_lt=False, **kwargs):
    method process_train (line 194) | def process_train(self, label_path):
  class NAIC20_R2A (line 210) | class NAIC20_R2A(ImageDataset):
    method __init__ (line 214) | def __init__(self, root='datasets', **kwargs):
    method process_test (line 225) | def process_test(self, test_path):

FILE: fast_reid/projects/NAIC20/naic/naic_evaluator.py
  function partition_arg_topK (line 24) | def partition_arg_topK(matrix, K, axis=0):
  class NaicEvaluator (line 43) | class NaicEvaluator(ReidEvaluator):
    method process (line 44) | def process(self, inputs, outputs):
    method evaluate (line 49) | def evaluate(self):

FILE: fast_reid/projects/NAIC20/train_net.py
  class Trainer (line 22) | class Trainer(DefaultTrainer):
    method build_train_loader (line 24) | def build_train_loader(cls, cfg):
  class Committer (line 30) | class Committer(DefaultTrainer):
    method build_evaluator (line 32) | def build_evaluator(cls, cfg, dataset_name, output_dir=None):
  function setup (line 37) | def setup(args):
  function main (line 50) | def main(args):

FILE: fast_reid/projects/PartialReID/partialreid/config.py
  function add_partialreid_config (line 10) | def add_partialreid_config(cfg):

FILE: fast_reid/projects/PartialReID/partialreid/dsr_distance.py
  function normalize (line 9) | def normalize(nparray, order=2, axis=0):
  function compute_dsr_dist (line 15) | def compute_dsr_dist(array1, array2, distmat, scores):

FILE: fast_reid/projects/PartialReID/partialreid/dsr_evaluation.py
  class DsrEvaluator (line 22) | class DsrEvaluator(DatasetEvaluator):
    method __init__ (line 23) | def __init__(self, cfg, num_query, output_dir=None):
    method reset (line 34) | def reset(self):
    method process (line 41) | def process(self, inputs, outputs):
    method evaluate (line 49) | def evaluate(self):

FILE: fast_reid/projects/PartialReID/partialreid/dsr_head.py
  class OcclusionUnit (line 17) | class OcclusionUnit(nn.Module):
    method __init__ (line 18) | def __init__(self, in_planes=2048):
    method forward (line 26) | def forward(self, x):
  class Flatten (line 57) | class Flatten(nn.Module):
    method forward (line 58) | def forward(self, input):
  class DSRHead (line 63) | class DSRHead(EmbeddingHead):
    method __init__ (line 64) | def __init__(self, cfg):
    method forward (line 91) | def forward(self, features, targets=None):

FILE: fast_reid/projects/PartialReID/partialreid/partial_dataset.py
  function process_test (line 19) | def process_test(query_path, gallery_path):
  class PartialREID (line 35) | class PartialREID(ImageDataset):
    method __init__ (line 39) | def __init__(self, root='datasets',):
  class PartialiLIDS (line 50) | class PartialiLIDS(ImageDataset):
    method __init__ (line 53) | def __init__(self, root='datasets',):
  class OccludedREID (line 64) | class OccludedREID(ImageDataset):
    method __init__ (line 67) | def __init__(self, root='datasets',):

FILE: fast_reid/projects/PartialReID/partialreid/partialbaseline.py
  class PartialBaseline (line 13) | class PartialBaseline(Baseline):
    method losses (line 15) | def losses(self, outputs, gt_labels):

FILE: fast_reid/projects/PartialReID/train_net.py
  class Trainer (line 22) | class Trainer(DefaultTrainer):
    method build_evaluator (line 24) | def build_evaluator(cls, cfg, dataset_name, output_dir=None):
  function setup (line 29) | def setup(args):
  function main (line 42) | def main(args):

FILE: fast_reid/tests/feature_align.py
  class TestFeatureAlign (line 7) | class TestFeatureAlign(unittest.TestCase):
    method test_caffe_pytorch_feat_align (line 8) | def test_caffe_pytorch_feat_align(self):
    method test_model_performance (line 18) | def test_model_performance(self):

FILE: fast_reid/tests/lr_scheduler_test.py
  class MyTestCase (line 13) | class MyTestCase(unittest.TestCase):
    method test_something (line 14) | def test_something(self):

FILE: fast_reid/tests/model_test.py
  class MyTestCase (line 13) | class MyTestCase(unittest.TestCase):
    method test_se_resnet101 (line 14) | def test_se_resnet101(self):

FILE: fast_reid/tests/sampler_test.py
  class SamplerTestCase (line 7) | class SamplerTestCase(unittest.TestCase):
    method test_training_sampler (line 8) | def test_training_sampler(self):

FILE: fast_reid/tests/test_repvgg.py
  class MyTestCase (line 11) | class MyTestCase(unittest.TestCase):
    method test_fusebn (line 12) | def test_fusebn(self):

FILE: fast_reid/tools/deploy/Caffe/caffe_lmdb.py
  class Read_Caffe_LMDB (line 5) | class Read_Caffe_LMDB():
    method __init__ (line 6) | def __init__(self,path,dtype=np.uint8):
    method to_numpy (line 14) | def to_numpy(value,dtype=np.uint8):
    method iterator (line 22) | def iterator(self):
    method __iter__ (line 29) | def __iter__(self):
    method __len__ (line 34) | def __len__(self):

FILE: fast_reid/tools/deploy/Caffe/caffe_net.py
  class _Net (line 7) | class _Net(object):
    method __init__ (line 8) | def __init__(self):
    method layer_index (line 11) | def layer_index(self,layer_name):
    method add_layer (line 17) | def add_layer(self,layer_params,before='',after=''):
    method remove_layer_by_name (line 35) | def remove_layer_by_name(self,layer_name):
    method get_layer_by_name (line 42) | def get_layer_by_name(self, layer_name):
    method save_prototxt (line 49) | def save_prototxt(self,path):
    method layer (line 57) | def layer(self,layer_name):
    method layers (line 60) | def layers(self):
  class Prototxt (line 65) | class Prototxt(_Net):
    method __init__ (line 66) | def __init__(self,file_name=''):
    method init_caffemodel (line 74) | def init_caffemodel(self,caffe_cmd_path='caffe'):
  class Caffemodel (line 89) | class Caffemodel(_Net):
    method __init__ (line 90) | def __init__(self, file_name=''):
    method save (line 98) | def save(self, path):
    method add_layer_with_data (line 102) | def add_layer_with_data(self,layer_params,datas, before='', after=''):
    method get_layer_data (line 121) | def get_layer_data(self,layer_name):
    method set_layer_data (line 130) | def set_layer_data(self,layer_name,datas):
  class Net (line 137) | class Net():
    method __init__ (line 138) | def __init__(self,*args,**kwargs):

FILE: fast_reid/tools/deploy/Caffe/layer_param.py
  function pair_process (line 6) | def pair_process(item, strict_one=True):
  function pair_reduce (line 18) | def pair_reduce(item):
  class Layer_param (line 27) | class Layer_param():
    method __init__ (line 28) | def __init__(self, name='', type='', top=(), bottom=()):
    method fc_param (line 38) | def fc_param(self, num_output, weight_filler='xavier', bias_filler='co...
    method conv_param (line 49) | def conv_param(self, num_output, kernel_size, stride=(1), pad=(0,),
    method pool_param (line 79) | def pool_param(self, type='MAX', kernel_size=2, stride=2, pad=None, ce...
    method batch_norm_param (line 93) | def batch_norm_param(self, use_global_stats=0, moving_average_fraction...
    method upsample_param (line 102) | def upsample_param(self, size=None, scale_factor=None):
    method interp_param (line 121) | def interp_param(self, size=None, scale_factor=None):
    method add_data (line 133) | def add_data(self, *args):
    method set_params_by_dict (line 143) | def set_params_by_dict(self, dic):
    method copy_from (line 146) | def copy_from(self, layer_param):
  function set_enum (line 150) | def set_enum(param, key, value):

FILE: fast_reid/tools/deploy/caffe_export.py
  function setup_cfg (line 30) | def setup_cfg(args):
  function get_parser (line 38) | def get_parser():

FILE: fast_reid/tools/deploy/caffe_inference.py
  function get_parser (line 19) | def get_parser():
  function preprocess (line 58) | def preprocess(image_path, image_height, image_width):
  function normalize (line 71) | def normalize(nparray, order=2, axis=-1):

FILE: fast_reid/tools/deploy/onnx_export.py
  function setup_cfg (line 35) | def setup_cfg(args):
  function get_parser (line 43) | def get_parser():
  function remove_initializer_from_input (line 76) | def remove_initializer_from_input(model):
  function export_onnx_model (line 95) | def export_onnx_model(model, inputs):

FILE: fast_reid/tools/deploy/onnx_inference.py
  function get_parser (line 17) | def get_parser():
  function preprocess (line 51) | def preprocess(image_path, image_height, image_width):
  function normalize (line 62) | def normalize(nparray, order=2, axis=-1):

FILE: fast_reid/tools/deploy/pytorch_to_caffe.py
  class Blob_LOG (line 31) | class Blob_LOG():
    method __init__ (line 32) | def __init__(self):
    method __setitem__ (line 35) | def __setitem__(self, key, value):
    method __getitem__ (line 38) | def __getitem__(self, key):
    method __len__ (line 41) | def __len__(self):
  class TransLog (line 49) | class TransLog(object):
    method __init__ (line 50) | def __init__(self):
    method init (line 62) | def init(self, inputs):
    method add_layer (line 68) | def add_layer(self, name='layer'):
    method add_blobs (line 80) | def add_blobs(self, blobs, name='blob', with_num=True):
    method blobs (line 98) | def blobs(self, var):
  function _conv2d (line 114) | def _conv2d(raw, input, weight, bias=None, stride=1, padding=0, dilation...
  function _conv_transpose2d (line 133) | def _conv_transpose2d(raw, input, weight, bias=None, stride=1, padding=0...
  function _linear (line 150) | def _linear(raw, input, weight, bias=None):
  function _split (line 165) | def _split(raw, tensor, split_size, dim=0):
  function _pool (line 179) | def _pool(type, raw, input, x, kernel_size, stride, padding, ceil_mode):
  function _max_pool2d (line 203) | def _max_pool2d(raw, input, kernel_size, stride=None, padding=0, dilatio...
  function _avg_pool2d (line 210) | def _avg_pool2d(raw, input, kernel_size, stride=None, padding=0, ceil_mo...
  function _max (line 216) | def _max(raw, *args):
  function _cat (line 234) | def _cat(raw, inputs, dimension=0):
  function _dropout (line 248) | def _dropout(raw, input, p=0.5, training=False, inplace=False):
  function _threshold (line 261) | def _threshold(raw, input, threshold, value, inplace=False):
  function _relu (line 285) | def _relu(raw, input, inplace=False):
  function _prelu (line 296) | def _prelu(raw, input, weight):
  function _leaky_relu (line 313) | def _leaky_relu(raw, input, negative_slope=0.01, inplace=False):
  function _tanh (line 324) | def _tanh(raw, input):
  function _softmax (line 335) | def _softmax(raw, input, dim=None, _stacklevel=3):
  function _sigmoid (line 350) | def _sigmoid(raw, input):
  function _batch_norm (line 361) | def _batch_norm(raw, input, running_mean, running_var, weight=None, bias...
  function _instance_norm (line 395) | def _instance_norm(raw, input, running_mean=None, running_var=None, weig...
  function _interpolate (line 432) | def _interpolate(raw, input, size=None, scale_factor=None, mode='nearest...
  function _view (line 495) | def _view(input, *args):
  function _mean (line 516) | def _mean(input, *args, **kwargs):
  function _add (line 536) | def _add(input, *args):
  function _iadd (line 566) | def _iadd(input, *args):
  function _sub (line 580) | def _sub(input, *args):
  function _isub (line 594) | def _isub(input, *args):
  function _mul (line 608) | def _mul(input, *args):
  function _imul (line 621) | def _imul(input, *args):
  function _adaptive_avg_pool2d (line 636) | def _adaptive_avg_pool2d(raw, input, output_size):
  class Rp (line 644) | class Rp(object):
    method __init__ (line 645) | def __init__(self, raw, replace, **kwargs):
    method __call__ (line 650) | def __call__(self, *args, **kwargs):
  function trans_net (line 727) | def trans_net(net, input_var, name='TransferedPytorchModel'):
  function save_prototxt (line 742) | def save_prototxt(save_name):
  function save_caffemodel (line 746) | def save_caffemodel(save_name):

FILE: fast_reid/tools/deploy/trt_calibrator.py
  class FeatEntropyCalibrator (line 37) | class FeatEntropyCalibrator(trt.IInt8EntropyCalibrator2):
    method __init__ (line 39) | def __init__(self, args):
    method next_batch (line 64) | def next_batch(self):
    method get_batch_size (line 80) | def get_batch_size(self):
    method get_batch (line 83) | def get_batch(self, names, p_str=None):
    method read_calibration_cache (line 94) | def read_calibration_cache(self):
    method write_calibration_cache (line 100) | def write_calibration_cache(self, cache):

FILE: fast_reid/tools/deploy/trt_export.py
  function get_parser (line 22) | def get_parser():
  function onnx2trt (line 77) | def onnx2trt(

FILE: fast_reid/tools/deploy/trt_inference.py
  function get_parser (line 19) | def get_parser():
  class HostDeviceMem (line 59) | class HostDeviceMem(object):
    method __init__ (line 62) | def __init__(self, host_mem, device_mem):
    method __str__ (line 66) | def __str__(self):
    method __repr__ (line 69) | def __repr__(self):
  class TrtEngine (line 73) | class TrtEngine:
    method __init__ (line 75) | def __init__(self, trt_file=None, gpu_idx=0, batch_size=1):
    method _load_engine (line 83) | def _load_engine(self, trt_file):
    method _allocate_buffers (line 95) | def _allocate_buffers(self, context):
    method infer (line 120) | def infer(self, data):
    method inference_on_images (line 147) | def inference_on_images(self, imgs, new_size=(256, 128)):
    method preprocess (line 164) | def preprocess(cls, img, img_height, img_width):
    method postprocess (line 171) | def postprocess(cls, nparray, order=2, axis=-1):
    method __del__ (line 176) | def __del__(self):

FILE: fast_reid/tools/plain_train_net.py
  function get_evaluator (line 36) | def get_evaluator(cfg, dataset_name, output_dir=None):
  function do_test (line 41) | def do_test(cfg, model):
  function do_train (line 72) | def do_train(cfg, model, resume=False):
  function setup (line 174) | def setup(args):
  function main (line 186) | def main(args):

FILE: fast_reid/tools/train_net.py
  function setup (line 17) | def setup(args):
  function main (line 29) | def main(args):

FILE: motmetrics/apps/eval_detrac.py
  function parse_args (line 24) | def parse_args():
  function compare_dataframes (line 70) | def compare_dataframes(gts, ts):
  function main (line 85) | def main():

FILE: motmetrics/apps/eval_motchallenge.py
  function parse_args (line 24) | def parse_args():
  function compare_dataframes (line 66) | def compare_dataframes(gts, ts):
  function main (line 81) | def main():

FILE: motmetrics/apps/evaluateTracking.py
  function parse_args (line 26) | def parse_args():
  function compare_dataframes (line 75) | def compare_dataframes(gts, ts, vsflag='', iou=0.5):
  function parseSequences (line 99) | def parseSequences(seqmap):
  function generateSkippedGT (line 113) | def generateSkippedGT(gtfile, skip, fmt):
  function main (line 132) | def main():

FILE: motmetrics/distances.py
  function norm2squared_matrix (line 19) | def norm2squared_matrix(objs, hyps, max_d2=float('inf')):
  function rect_min_max (line 57) | def rect_min_max(r):
  function boxiou (line 64) | def boxiou(a, b):
  function iou_matrix (line 83) | def iou_matrix(objs, hyps, max_iou=1.):

FILE: motmetrics/io.py
  class Format (line 23) | class Format(Enum):
  function load_motchallenge (line 48) | def load_motchallenge(fname, **kwargs):
  function load_vatictxt (line 96) | def load_vatictxt(fname, **kwargs):
  function load_detrac_mat (line 186) | def load_detrac_mat(fname):
  function load_detrac_xml (line 249) | def load_detrac_xml(fname):
  function loadtxt (line 309) | def loadtxt(fname, fmt=Format.MOT15_2D, **kwargs):
  function render_summary (line 324) | def render_summary(summary, formatters=None, namemap=None, buf=None):

FILE: motmetrics/lap.py
  function _module_is_available_py2 (line 22) | def _module_is_available_py2(name):
  function _module_is_available_py3 (line 30) | def _module_is_available_py3(name):
  function linear_sum_assignment (line 43) | def linear_sum_assignment(costs, solver=None):
  function add_expensive_edges (line 79) | def add_expensive_edges(costs):
  function _exclude_missing_edges (line 113) | def _exclude_missing_edges(costs, rids, cids):
  function lsa_solve_scipy (line 121) | def lsa_solve_scipy(costs):
  function lsa_solve_lapsolver (line 133) | def lsa_solve_lapsolver(costs):
  function lsa_solve_munkres (line 145) | def lsa_solve_munkres(costs):
  function _zero_pad_to_square (line 164) | def _zero_pad_to_square(costs):
  function lsa_solve_ortools (line 174) | def lsa_solve_ortools(costs):
  function find_scale_for_integer_approximation (line 211) | def find_scale_for_integer_approximation(costs, base=10, log_max_scale=8...
  function _assert_integer (line 256) | def _assert_integer(costs):
  function _ortools_assert_is_optimal (line 262) | def _ortools_assert_is_optimal(pywrapgraph, status):
  function _ortools_extract_solution (line 273) | def _ortools_extract_solution(assignment):
  function lsa_solve_lapjv (line 285) | def lsa_solve_lapjv(costs):
  function _init_standard_solvers (line 309) | def _init_standard_solvers():
  function set_default_solver (line 334) | def set_default_solver(newsolver):

FILE: motmetrics/math_util.py
  function quiet_divide (line 19) | def quiet_divide(a, b):

FILE: motmetrics/metrics.py
  class MetricsHost (line 34) | class MetricsHost:
    method __init__ (line 37) | def __init__(self):
    method register (line 40) | def register(self, fnc, deps='auto', name=None, helpstr=None, formatte...
    method names (line 116) | def names(self):
    method formatters (line 121) | def formatters(self):
    method list_metrics (line 128) | def list_metrics(self, include_deps=False):
    method list_metrics_markdown (line 139) | def list_metrics_markdown(self, include_deps=False):
    method compute (line 147) | def compute(self, df, ana=None, metrics=None, return_dataframe=True, r...
    method compute_overall (line 198) | def compute_overall(self, partials, metrics=None, return_dataframe=Tru...
    method compute_many (line 241) | def compute_many(self, dfs, anas=None, metrics=None, names=None, gener...
    method _compute (line 303) | def _compute(self, df_map, name, cache, options, parent=None):
    method _compute_overall (line 321) | def _compute_overall(self, partials, name, cache, parent=None):
  function num_frames (line 340) | def num_frames(df):
  function obj_frequencies (line 348) | def obj_frequencies(df):
  function pred_frequencies (line 353) | def pred_frequencies(df):
  function num_unique_objects (line 358) | def num_unique_objects(df, obj_frequencies):
  function num_matches (line 367) | def num_matches(df):
  function num_switches (line 375) | def num_switches(df):
  function num_transfer (line 383) | def num_transfer(df):
  function num_ascend (line 391) | def num_ascend(df):
  function num_migrate (line 399) | def num_migrate(df):
  function num_false_positives (line 407) | def num_false_positives(df):
  function num_misses (line 415) | def num_misses(df):
  function num_detections (line 423) | def num_detections(df, num_matches, num_switches):
  function num_objects (line 432) | def num_objects(df, obj_frequencies):
  function num_predictions (line 441) | def num_predictions(df, pred_frequencies):
  function track_ratios (line 450) | def track_ratios(df, obj_frequencies):
  function mostly_tracked (line 456) | def mostly_tracked(df, track_ratios):
  function partially_tracked (line 465) | def partially_tracked(df, track_ratios):
  function mostly_lost (line 474) | def mostly_lost(df, track_ratios):
  function num_fragmentations (line 483) | def num_fragmentations(df, obj_frequencies):
  function motp (line 503) | def motp(df, num_detections):
  function motp_m (line 508) | def motp_m(partials, num_detections):
  function mota (line 515) | def mota(df, num_misses, num_switches, num_false_positives, num_objects):
  function mota_m (line 523) | def mota_m(partials, num_misses, num_switches, num_false_positives, num_...
  function precision (line 530) | def precision(df, num_detections, num_false_positives):
  function precision_m (line 538) | def precision_m(partials, num_detections, num_false_positives):
  function recall (line 545) | def recall(df, num_detections, num_objects):
  function recall_m (line 551) | def recall_m(partials, num_detections, num_objects):
  class DataFrameMap (line 556) | class DataFrameMap:  # pylint: disable=too-few-public-methods
    method __init__ (line 558) | def __init__(self, full, raw, noraw, extra):
  function events_to_df_map (line 565) | def events_to_df_map(df):
  function extract_counts_from_df_map (line 576) | def extract_counts_from_df_map(df):
  function id_global_assignment (line 601) | def id_global_assignment(df, ana=None):
  function idfp (line 647) | def idfp(df, id_global_assignment):
  function idfn (line 657) | def idfn(df, id_global_assignment):
  function idtp (line 667) | def idtp(df, id_global_assignment, num_objects, idfn):
  function idp (line 676) | def idp(df, idtp, idfp):
  function idp_m (line 682) | def idp_m(partials, idtp, idfp):
  function idr (line 687) | def idr(df, idtp, idfn):
  function idr_m (line 693) | def idr_m(partials, idtp, idfn):
  function idf1 (line 698) | def idf1(df, idtp, num_objects, num_predictions):
  function idf1_m (line 704) | def idf1_m(partials, idtp, num_objects, num_predictions):
  function getSimpleAdd (line 712) | def getSimpleAdd(nm):
  function create (line 722) | def create():

FILE: motmetrics/mot.py
  class MOTAccumulator (line 26) | class MOTAccumulator(object):
    method __init__ (line 74) | def __init__(self, auto_id=False, max_switch_time=float('inf')):
    method reset (line 112) | def reset(self):
    method _append_to_indices (line 125) | def _append_to_indices(self, frameid, eid):
    method _append_to_events (line 129) | def _append_to_events(self, typestr, oid, hid, distance):
    method update (line 135) | def update(self, oids, hids, dists, frameid=None, vf=''):
    method events (line 324) | def events(self):
    method mot_events (line 331) | def mot_events(self):
    method new_event_dataframe (line 336) | def new_event_dataframe():
    method new_event_dataframe_with_data (line 352) | def new_event_dataframe_with_data(indices, events):
    method merge_analysis (line 385) | def merge_analysis(anas, infomap):
    method merge_event_dataframes (line 405) | def merge_event_dataframes(dfs, update_frame_indices=True, update_oids...

FILE: motmetrics/preprocess.py
  function preprocessResult (line 24) | def preprocessResult(res, gt, inifile):

FILE: motmetrics/tests/test_distances.py
  function test_norm2squared (line 19) | def test_norm2squared():
  function test_norm2squared_empty (line 53) | def test_norm2squared_empty():
  function test_iou_matrix (line 63) | def test_iou_matrix():

FILE: motmetrics/tests/test_io.py
  function test_load_vatic (line 23) | def test_load_vatic():
  function test_load_motchallenge (line 38) | def test_load_motchallenge():
  function test_load_detrac_mat (line 53) | def test_load_detrac_mat():
  function test_load_detrac_xml (line 67) | def test_load_detrac_xml():

FILE: motmetrics/tests/test_issue19.py
  function test_issue19 (line 22) | def test_issue19():

FILE: motmetrics/tests/test_lap.py
  function test_solver_is_available (line 26) | def test_solver_is_available(solver):
  function test_assign_easy (line 32) | def test_assign_easy(solver):
  function test_assign_full (line 44) | def test_assign_full(solver):
  function test_assign_full_negative (line 57) | def test_assign_full_negative(solver):
  function test_assign_empty (line 69) | def test_assign_empty(solver):
  function test_assign_infeasible (line 79) | def test_assign_infeasible(solver):
  function test_assign_disallowed (line 94) | def test_assign_disallowed(solver):
  function test_assign_non_integer (line 105) | def test_assign_non_integer(solver):
  function test_assign_attractive_disallowed (line 116) | def test_assign_attractive_disallowed(solver):
  function test_assign_attractive_broken_ring (line 131) | def test_assign_attractive_broken_ring(solver):
  function test_unbalanced_wide (line 145) | def test_unbalanced_wide(solver):
  function test_unbalanced_tall (line 156) | def test_unbalanced_tall(solver):
  function test_unbalanced_disallowed_wide (line 167) | def test_unbalanced_disallowed_wide(solver):
  function test_unbalanced_disallowed_tall (line 178) | def test_unbalanced_disallowed_tall(solver):
  function test_unbalanced_infeasible (line 189) | def test_unbalanced_infeasible(solver):
  function test_change_solver (line 204) | def test_change_solver():

FILE: motmetrics/tests/test_metrics.py
  function test_metricscontainer_1 (line 25) | def test_metricscontainer_1():
  function test_metricscontainer_autodep (line 39) | def test_metricscontainer_autodep():
  function test_metricscontainer_autoname (line 53) | def test_metricscontainer_autoname():
  function test_metrics_with_no_events (line 87) | def test_metrics_with_no_events():
  function test_assignment_metrics_with_empty_groundtruth (line 103) | def test_assignment_metrics_with_empty_groundtruth():
  function test_assignment_metrics_with_empty_predictions (line 126) | def test_assignment_metrics_with_empty_predictions():
  function test_assignment_metrics_with_both_empty (line 149) | def test_assignment_metrics_with_both_empty():
  function _extract_counts (line 172) | def _extract_counts(acc):
  function test_extract_counts (line 177) | def test_extract_counts():
  function test_extract_pandas_series_issue (line 206) | def test_extract_pandas_series_issue():
  function test_benchmark_extract_counts (line 231) | def test_benchmark_extract_counts(benchmark):
  function _accum_random_uniform (line 240) | def _accum_random_uniform(rand, seq_len, num_objs, num_hyps, objs_per_fr...
  function test_mota_motp (line 252) | def test_mota_motp():
  function test_ids (line 287) | def test_ids():
  function test_correct_average (line 328) | def test_correct_average():
  function test_motchallenge_files (line 349) | def test_motchallenge_files():

FILE: motmetrics/tests/test_mot.py
  function test_events (line 21) | def test_events():
  function test_max_switch_time (line 80) | def test_max_switch_time():
  function test_auto_id (line 97) | def test_auto_id():
  function test_merge_dataframes (line 114) | def test_merge_dataframes():

FILE: motmetrics/tests/test_utils.py
  function test_annotations_xor_predictions_present (line 22) | def test_annotations_xor_predictions_present():
  function _tracks_to_dataframe (line 44) | def _tracks_to_dataframe(tracks):

FILE: motmetrics/utils.py
  function compare_to_groundtruth (line 21) | def compare_to_groundtruth(gt, dt, dist='iou', distfields=None, distth=0...
  function CLEAR_MOT_M (line 87) | def CLEAR_MOT_M(gt, dt, inifile, dist='iou', distfields=None, distth=0.5...

FILE: setup.py
  function get_extensions (line 15) | def get_extensions():

FILE: tools/convert_bdd_to_kitti.py
  function write_preds (line 17) | def write_preds(summary, out_path):
  function convert_to_kitti (line 45) | def convert_to_kitti(annos):

FILE: tools/convert_cityperson_to_coco.py
  function load_paths (line 10) | def load_paths(data_path):

FILE: tools/convert_crowdhuman_to_coco.py
  function load_func (line 11) | def load_func(fpath):

FILE: tools/convert_cuhk_to_coco.py
  function load_paths (line 24) | def load_paths(data_path):

FILE: tools/convert_ethz_to_coco.py
  function load_paths (line 10) | def load_paths(data_path):

FILE: tools/convert_video.py
  function convert_video (line 3) | def convert_video(video_path):

FILE: tools/demo_track.py
  function get_image_list (line 25) | def get_image_list(path):
  class Predictor (line 36) | class Predictor(object):
    method __init__ (line 37) | def __init__(
    method inference (line 74) | def inference(self, img, timer):
  function image_demo (line 117) | def image_demo(predictor, vis_folder, current_time, args):
  function imageflow_demo (line 205) | def imageflow_demo(predictor, vis_folder, current_time, args):
  function main (line 282) | def main(exp, args):

FILE: tools/gp_interpolation.py
  function mkdir_if_missing (line 12) | def mkdir_if_missing(d):
  function write_results_score (line 17) | def write_results_score(filename, results):
  function median_trick (line 30) | def median_trick(X):
  function gp_interpolation (line 42) | def gp_interpolation(txt_path, save_path, reference_dir, n_min=30, n_dti...

FILE: tools/interpolation.py
  function mkdir_if_missing (line 9) | def mkdir_if_missing(d):
  function eval_mota (line 14) | def eval_mota(data_root, txt_path):
  function get_mota (line 32) | def get_mota(data_root, txt_path):
  function write_results_score (line 51) | def write_results_score(filename, results):
  function dti (line 64) | def dti(txt_path, save_path, n_min=25, n_dti=20):
  function dti_kitti (line 115) | def dti_kitti(txt_path, save_path, n_min=30, n_dti=20):

FILE: tools/mota.py
  function compare_dataframes (line 19) | def compare_dataframes(gts, ts):

FILE: tools/plot_trajectory.py
  function plot_traj (line 11) | def plot_traj(traj_file, name):

FILE: tools/run_byte.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 41) | def main(exp, args, num_gpu):

FILE: tools/run_byte_dance.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 37) | def main(exp, args, num_gpu):

FILE: tools/run_deepsort.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 41) | def main(exp, args, num_gpu):

FILE: tools/run_deepsort_dance.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 37) | def main(exp, args, num_gpu):

FILE: tools/run_hybrid_sort_dance.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 37) | def main(exp, args, num_gpu):

FILE: tools/run_motdt.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 41) | def main(exp, args, num_gpu):

FILE: tools/run_motdt_dance.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 37) | def main(exp, args, num_gpu):

FILE: tools/run_ocsort.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 41) | def main(exp, args, num_gpu):

FILE: tools/run_ocsort_dance.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 37) | def main(exp, args, num_gpu):

FILE: tools/run_ocsort_public.py
  function compare_dataframes (line 93) | def compare_dataframes(gts, ts):
  function main (line 108) | def main(args):

FILE: tools/run_sort.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 41) | def main(exp, args, num_gpu):

FILE: tools/run_sort_dance.py
  function compare_dataframes (line 22) | def compare_dataframes(gts, ts):
  function main (line 37) | def main(exp, args, num_gpu):

FILE: tools/train.py
  function make_parser (line 14) | def make_parser():
  function main (line 85) | def main(exp, args):

FILE: tools/txt2video.py
  function colormap (line 9) | def colormap(rgb=False):
  function txt2img (line 99) | def txt2img(visual_path="visual_val_gt"):
  function img2video (line 187) | def img2video(visual_path="visual_val_gt"):

FILE: tools/visualize_results.py
  function visualize_box (line 144) | def visualize_box(img, text, box, color_index):
  function visualize_detections (line 165) | def visualize_detections(img_dir, out_dir, detections_dir, mode="val_hal...
  function visualize_tracks (line 223) | def visualize_tracks(img_dir, out_dir, tracks_dir, mode, dataset="mot17"):
  function visualize_gt (line 302) | def visualize_gt(img_dir, out_dir):
  function merge_visualization (line 350) | def merge_visualization(det_dir, track_dir, gt_dir, out_dir):
  function make_parser (line 377) | def make_parser():

FILE: trackers/byte_tracker/basetrack.py
  class TrackState (line 5) | class TrackState(object):
  class BaseTrack (line 12) | class BaseTrack(object):
    method end_frame (line 31) | def end_frame(self):
    method next_id (line 35) | def next_id():
    method activate (line 39) | def activate(self, *args):
    method predict (line 42) | def predict(self):
    method update (line 45) | def update(self, *args, **kwargs):
    method mark_lost (line 48) | def mark_lost(self):
    method mark_removed (line 51) | def mark_removed(self):

FILE: trackers/byte_tracker/byte_tracker.py
  class STrack (line 13) | class STrack(BaseTrack):
    method __init__ (line 15) | def __init__(self, tlwh, score):
    method predict (line 26) | def predict(self):
    method multi_predict (line 33) | def multi_predict(stracks):
    method activate (line 45) | def activate(self, kalman_filter, frame_id):
    method re_activate (line 59) | def re_activate(self, new_track, frame_id, new_id=False):
    method update (line 71) | def update(self, new_track, frame_id):
    method tlwh (line 92) | def tlwh(self):
    method tlbr (line 105) | def tlbr(self):
    method tlwh_to_xyah (line 115) | def tlwh_to_xyah(tlwh):
    method to_xyah (line 124) | def to_xyah(self):
    method tlbr_to_tlwh (line 129) | def tlbr_to_tlwh(tlbr):
    method tlwh_to_tlbr (line 136) | def tlwh_to_tlbr(tlwh):
    method __repr__ (line 141) | def __repr__(self):
  class BYTETracker (line 145) | class BYTETracker(object):
    method __init__ (line 146) | def __init__(self, args, frame_rate=30):
    method update (line 159) | def update(self, output_results, img_info, img_size):
  function joint_stracks (line 311) | def joint_stracks(tlista, tlistb):
  function sub_stracks (line 325) | def sub_stracks(tlista, tlistb):
  function remove_duplicate_stracks (line 336) | def remove_duplicate_stracks(stracksa, stracksb):

FILE: trackers/byte_tracker/byte_tracker_public.py
  class STrack (line 13) | class STrack(BaseTrack):
    method __init__ (line 15) | def __init__(self, tlwh, score):
    method predict (line 26) | def predict(self):
    method multi_predict (line 33) | def multi_predict(stracks):
    method activate (line 45) | def activate(self, kalman_filter, frame_id):
    method re_activate (line 59) | def re_activate(self, new_track, frame_id, new_id=False):
    method update (line 71) | def update(self, new_track, frame_id):
    method tlwh (line 92) | def tlwh(self):
    method tlbr (line 105) | def tlbr(self):
    method tlwh_to_xyah (line 115) | def tlwh_to_xyah(tlwh):
    method to_xyah (line 124) | def to_xyah(self):
    method tlbr_to_tlwh (line 129) | def tlbr_to_tlwh(tlbr):
    method tlwh_to_tlbr (line 136) | def tlwh_to_tlbr(tlwh):
    method __repr__ (line 141) | def __repr__(self):
  class BYTETracker (line 145) | class BYTETracker(object):
    method __init__ (line 146) | def __init__(self, args, frame_rate=30):
    method update (line 159) | def update(self, output_results, img_info, img_size):
    method update_public (line 291) | def update_public(self, output_results, img_info, img_size, pub_dets):
  function joint_stracks (line 443) | def joint_stracks(tlista, tlistb):
  function sub_stracks (line 457) | def sub_stracks(tlista, tlistb):
  function remove_duplicate_stracks (line 468) | def remove_duplicate_stracks(stracksa, stracksb):

FILE: trackers/byte_tracker/byte_tracker_score.py
  class STrack (line 14) | class STrack(BaseTrack):
    method __init__ (line 17) | def __init__(self, tlwh, score):
    method predict (line 31) | def predict(self):
    method multi_predict (line 38) | def multi_predict(stracks):
    method activate (line 61) | def activate(self, kalman_filter, frame_id, kalman_filter_score):
    method re_activate (line 77) | def re_activate(self, new_track, frame_id, new_id=False):
    method update (line 93) | def update(self, new_track, frame_id):
    method tlwh (line 117) | def tlwh(self):
    method score_kalman (line 130) | def score_kalman(self):
    method tlbr (line 141) | def tlbr(self):
    method tlwh_to_xyah (line 151) | def tlwh_to_xyah(tlwh):
    method to_xyah (line 160) | def to_xyah(self):
    method tlbr_to_tlwh (line 165) | def tlbr_to_tlwh(tlbr):
    method tlwh_to_tlbr (line 172) | def tlwh_to_tlbr(tlwh):
    method __repr__ (line 177) | def __repr__(self):
  class BYTETracker_score (line 181) | class BYTETracker_score(object):
    method __init__ (line 182) | def __init__(self, args, frame_rate=30):
    method update (line 196) | def update(self, output_results, img_info, img_size):
  function joint_stracks (line 333) | def joint_stracks(tlista, tlistb):
  function sub_stracks (line 347) | def sub_stracks(tlista, tlistb):
  function remove_duplicate_stracks (line 358) | def remove_duplicate_stracks(stracksa, stracksb):

FILE: trackers/byte_tracker/kalman_filter.py
  class KalmanFilter (line 23) | class KalmanFilter(object):
    method __init__ (line 40) | def __init__(self):
    method initiate (line 55) | def initiate(self, measurement):
    method predict (line 88) | def predict(self, mean, covariance):
    method project (line 126) | def project(self, mean, covariance):
    method multi_predict (line 155) | def multi_predict(self, mean, covariance):
    method update (line 194) | def update(self, mean, covariance, measurement):
    method gating_distance (line 228) | def gating_distance(self, mean, covariance, measurements,

FILE: trackers/byte_tracker/kalman_filter_score.py
  class KalmanFilter_score (line 23) | class KalmanFilter_score(object):
    method __init__ (line 41) | def __init__(self):
    method initiate (line 56) | def initiate(self, measurement):
    method predict (line 92) | def predict(self, mean, covariance):
    method project (line 124) | def project(self, mean, covariance):
    method multi_predict (line 150) | def multi_predict(self, mean, covariance):
    method update (line 183) | def update(self, mean, covariance, measurement):
    method gating_distance (line 217) | def gating_distance(self, mean, covariance, measurements,

FILE: trackers/byte_tracker/matching.py
  function merge_matches (line 11) | def merge_matches(m1, m2, shape):
  function _indices_to_matches (line 28) | def _indices_to_matches(cost_matrix, indices, thresh):
  function linear_assignment (line 39) | def linear_assignment(cost_matrix, thresh):
  function ious (line 53) | def ious(atlbrs, btlbrs):
  function hmiou (line 72) | def hmiou(bboxes1, bboxes2):
  function iou_distance (line 106) | def iou_distance(atracks, btracks):
  function hmiou_distance (line 126) | def hmiou_distance(atracks, btracks):
  function v_iou_distance (line 140) | def v_iou_distance(atracks, btracks):
  function embedding_distance (line 160) | def embedding_distance(tracks, detections, metric='cosine'):
  function gate_cost_matrix (line 179) | def gate_cost_matrix(kf, cost_matrix, tracks, detections, only_position=...
  function fuse_motion (line 192) | def fuse_motion(kf, cost_matrix, tracks, detections, only_position=False...
  function fuse_iou (line 206) | def fuse_iou(cost_matrix, tracks, detections):
  function fuse_score (line 220) | def fuse_score(cost_matrix, detections):
  function add_score_kalman (line 231) | def add_score_kalman(cost_matrix, strack_pool, detections, interval=1.0,...
  function add_score_kalman_byte_step (line 239) | def add_score_kalman_byte_step(cost_matrix, strack_pool, detections, int...

FILE: trackers/deepsort_tracker/deepsort.py
  function _cosine_distance (line 13) | def _cosine_distance(a, b, data_is_normalized=False):
  function _nn_cosine_distance (line 20) | def _nn_cosine_distance(x, y):
  class Tracker (line 25) | class Tracker:
    method __init__ (line 26) | def __init__(self, metric, max_iou_distance=0.7, max_age=70, n_init=3,...
    method predict (line 37) | def predict(self):
    method increment_ages (line 44) | def increment_ages(self):
    method update (line 49) | def update(self, detections, classes):
    method _match (line 82) | def _match(self, detections):
    method _initiate_track (line 128) | def _initiate_track(self, detection, class_id):
  class NearestNeighborDistanceMetric (line 136) | class NearestNeighborDistanceMetric(object):
    method __init__ (line 137) | def __init__(self, metric, matching_threshold, budget=None):
    method partial_fit (line 148) | def partial_fit(self, features, targets, active_targets):
    method distance (line 155) | def distance(self, features, targets):
  class DeepSort (line 162) | class DeepSort(object):
    method __init__ (line 163) | def __init__(self, model_path, max_dist=0.1, min_confidence=0.3, nms_m...
    method update (line 177) | def update(self, output_results, img_info, img_size, img_file_name):
    method _xywh_to_tlwh (line 232) | def _xywh_to_tlwh(bbox_xywh):
    method _xyxy_to_tlwh_array (line 242) | def _xyxy_to_tlwh_array(bbox_xyxy):
    method _xywh_to_xyxy (line 251) | def _xywh_to_xyxy(self, bbox_xywh):
    method _tlwh_to_xyxy (line 259) | def _tlwh_to_xyxy(self, bbox_tlwh):
    method _tlwh_to_xyxy_noclip (line 272) | def _tlwh_to_xyxy_noclip(self, bbox_tlwh):
    method increment_ages (line 285) | def increment_ages(self):
    method _xyxy_to_tlwh (line 288) | def _xyxy_to_tlwh(self, bbox_xyxy):
    method _get_features (line 297) | def _get_features(self, bbox_xywh, ori_img):

FILE: trackers/deepsort_tracker/deepsort_score.py
  function _cosine_distance (line 13) | def _cosine_distance(a, b, data_is_normalized=False):
  function _nn_cosine_distance (line 20) | def _nn_cosine_distance(x, y):
  class Tracker (line 25) | class Tracker:
    method __init__ (line 26) | def __init__(self, metric, max_iou_distance=0.7, max_age=70, n_init=3):
    method predict (line 37) | def predict(self):
    method increment_ages (line 44) | def increment_ages(self):
    method update (line 49) | def update(self, detections, classes):
    method _match (line 82) | def _match(self, detections):
    method _initiate_track (line 122) | def _initiate_track(self, detection, class_id):
  class NearestNeighborDistanceMetric (line 131) | class NearestNeighborDistanceMetric(object):
    method __init__ (line 132) | def __init__(self, metric, matching_threshold, budget=None):
    method partial_fit (line 143) | def partial_fit(self, features, targets, active_targets):
    method distance (line 150) | def distance(self, features, targets):
  class DeepSort_score (line 157) | class DeepSort_score(object):
    method __init__ (line 158) | def __init__(self, model_path, args, max_dist=0.1, min_confidence=0.3,...
    method update (line 172) | def update(self, output_results, img_info, img_size, img_file_name):
    method _xywh_to_tlwh (line 227) | def _xywh_to_tlwh(bbox_xywh):
    method _xyxy_to_tlwh_array (line 237) | def _xyxy_to_tlwh_array(bbox_xyxy):
    method _xywh_to_xyxy (line 246) | def _xywh_to_xyxy(self, bbox_xywh):
    method _tlwh_to_xyxy (line 254) | def _tlwh_to_xyxy(self, bbox_tlwh):
    method _tlwh_to_xyxy_noclip (line 267) | def _tlwh_to_xyxy_noclip(self, bbox_tlwh):
    method increment_ages (line 280) | def increment_ages(self):
    method _xyxy_to_tlwh (line 283) | def _xyxy_to_tlwh(self, bbox_xyxy):
    method _get_features (line 292) | def _get_features(self, bbox_xywh, ori_img):

FILE: trackers/deepsort_tracker/detection.py
  class Detection (line 5) | class Detection(object):
    method __init__ (line 26) | def __init__(self, tlwh, confidence, feature):
    method to_tlbr (line 31) | def to_tlbr(self):
    method to_xyah (line 39) | def to_xyah(self):

FILE: trackers/deepsort_tracker/iou_matching.py
  function iou (line 7) | def iou(bbox, candidates):
  function hmiou (line 38) | def hmiou(bboxes1, bboxes2):
  function iou_cost (line 91) | def iou_cost(tracks, detections, track_indices=None,
  function hmiou_cost (line 130) | def hmiou_cost(tracks, detections, track_indices=None,

FILE: trackers/deepsort_tracker/kalman_filter.py
  class KalmanFilter (line 23) | class KalmanFilter(object):
    method __init__ (line 35) | def __init__(self):
    method initiate (line 50) | def initiate(self, measurement):
    method predict (line 80) | def predict(self, mean, covariance):
    method project (line 114) | def project(self, mean, covariance):
    method update (line 140) | def update(self, mean, covariance, measurement):
    method gating_distance (line 171) | def gating_distance(self, mean, covariance, measurements,

FILE: trackers/deepsort_tracker/kalman_filter_score.py
  class KalmanFilter_score (line 23) | class KalmanFilter_score(object):
    method __init__ (line 41) | def __init__(self):
    method initiate (line 56) | def initiate(self, measurement):
    method predict (line 92) | def predict(self, mean, covariance):
    method project (line 124) | def project(self, mean, covariance):
    method multi_predict (line 150) | def multi_predict(self, mean, covariance):
    method update (line 183) | def update(self, mean, covariance, measurement):
    method gating_distance (line 217) | def gating_distance(self, mean, covariance, measurements,

FILE: trackers/deepsort_tracker/linear_assignment.py
  function min_cost_matching (line 11) | def min_cost_matching(
  function matching_cascade (line 76) | def matching_cascade(
  function gate_cost_matrix (line 139) | def gate_cost_matrix(

FILE: trackers/deepsort_tracker/linear_assignment_score.py
  function min_cost_matching (line 11) | def min_cost_matching(
  function matching_cascade (line 82) | def matching_cascade(
  function gate_cost_matrix (line 145) | def gate_cost_matrix(

FILE: trackers/deepsort_tracker/reid_model.py
  class BasicBlock (line 10) | class BasicBlock(nn.Module):
    method __init__ (line 11) | def __init__(self, c_in, c_out, is_downsample=False):
    method forward (line 37) | def forward(self, x):
  function make_layers (line 48) | def make_layers(c_in, c_out, repeat_times, is_downsample=False):
  class Net (line 58) | class Net(nn.Module):
    method __init__ (line 59) | def __init__(self, num_classes=751, reid=False):
    method forward (line 91) | def forward(self, x):
  class Extractor (line 108) | class Extractor(object):
    method __init__ (line 109) | def __init__(self, model_path, use_cuda=True):
    method _preprocess (line 124) | def _preprocess(self, im_crops):
    method __call__ (line 140) | def __call__(self, im_crops):

FILE: trackers/deepsort_tracker/reid_model_motdt.py
  function clip_boxes (line 15) | def clip_boxes(boxes, im_shape):
  function load_net (line 34) | def load_net(fname, net, prefix='', load_state_dict=False):
  class Inception (line 110) | class Inception(nn.Module):
    method __init__ (line 111) | def __init__(self, in_planes, n1x1, n3x3red, n3x3, n5x5red, n5x5, pool...
    method forward (line 144) | def forward(self, x):
  class GoogLeNet (line 152) | class GoogLeNet(nn.Module):
    method __init__ (line 156) | def __init__(self):
    method forward (line 186) | def forward(self, x):
  class Model (line 200) | class Model(nn.Module):
    method __init__ (line 201) | def __init__(self, n_parts=8):
    method forward (line 214) | def forward(self, x):
  function load_reid_model (line 234) | def load_reid_model(ckpt):
  function im_preprocess (line 245) | def im_preprocess(image):
  function extract_image_patches (line 252) | def extract_image_patches(image, bboxes):
  function extract_reid_features (line 259) | def extract_reid_features(reid_model, image, tlbrs):

FILE: trackers/deepsort_tracker/track.py
  class TrackState (line 4) | class TrackState:
  class Track (line 18) | class Track:
    method __init__ (line 62) | def __init__(self, mean, covariance, track_id, class_id, n_init, max_age,
    method to_tlwh (line 80) | def to_tlwh(self):
    method to_tlbr (line 93) | def to_tlbr(self):
    method increment_age (line 105) | def increment_age(self):
    method predict (line 109) | def predict(self, kf):
    method update (line 120) | def update(self, kf, detection):
    method mark_missed (line 139) | def mark_missed(self):
    method is_tentative (line 147) | def is_tentative(self):
    method is_confirmed (line 152) | def is_confirmed(self):
    method is_deleted (line 156) | def is_deleted(self):

FILE: trackers/deepsort_tracker/track_score.py
  class TrackState (line 4) | class TrackState:
  class Track (line 18) | class Track:
    method __init__ (line 62) | def __init__(self, mean, covariance, mean_score, mean_convariance, tra...
    method to_tlwh (line 82) | def to_tlwh(self):
    method to_tlbr (line 95) | def to_tlbr(self):
    method increment_age (line 107) | def increment_age(self):
    method predict (line 111) | def predict(self, kf, kf_score):
    method update (line 123) | def update(self, kf, kf_score, detection):
    method mark_missed (line 144) | def mark_missed(self):
    method is_tentative (line 152) | def is_tentative(self):
    method is_confirmed (line 157) | def is_confirmed(self):
    method is_deleted (line 161) | def is_deleted(self):

FILE: trackers/hybrid_sort_tracker/association.py
  function intersection_batch (line 4) | def intersection_batch(bboxes1, bboxes2):
  function box_area (line 17) | def box_area(bbox):
  function iou_batch (line 21) | def iou_batch(bboxes1, bboxes2):
  function cal_score_dif_batch (line 40) | def cal_score_dif_batch(bboxes1, bboxes2):
  function cal_score_dif_batch_two_score (line 52) | def cal_score_dif_batch_two_score(bboxes1, bboxes2):
  function hmiou (line 64) | def hmiou(bboxes1, bboxes2):
  function giou_batch (line 89) | def giou_batch(bboxes1, bboxes2):
  function giou_batch_true (line 122) | def giou_batch_true(bboxes1, bboxes2):
  function diou_batch (line 156) | def diou_batch(bboxes1, bboxes2):
  function ciou_batch (line 195) | def ciou_batch(bboxes1, bboxes2):
  function ct_dist (line 248) | def ct_dist(bboxes1, bboxes2):
  function speed_direction_batch (line 272) | def speed_direction_batch(dets, tracks):
  function linear_assignment (line 290) | def linear_assignment(cost_matrix, thresh=0.):
  function associate_detections_to_trackers (line 304) | def associate_detections_to_trackers(detections,trackers,iou_threshold =...
  function associate (line 348) | def associate(detections, trackers, iou_threshold, velocities, previous_...
  function cost_vel (line 407) | def cost_vel(Y, X, trackers, velocities, detections, previous_obs, vdc_w...
  function speed_direction_batch_lt (line 430) | def speed_direction_batch_lt(dets, tracks):
  function speed_direction_batch_rt (line 441) | def speed_direction_batch_rt(dets, tracks):
  function speed_direction_batch_lb (line 452) | def speed_direction_batch_lb(dets, tracks):
  function speed_direction_batch_rb (line 463) | def speed_direction_batch_rb(dets, tracks):
  function associate_4_points (line 474) | def associate_4_points(detections, trackers, iou_threshold, lt, rt, lb, ...
  function associate_4_points_with_score (line 524) | def associate_4_points_with_score(detections, trackers, iou_threshold, l...
  function associate_4_points_with_score_with_reid (line 577) | def associate_4_points_with_score_with_reid(detections, trackers, iou_th...
  function associate_kitti (line 657) | def associate_kitti(detections, trackers, det_cates, iou_threshold,
  function embedding_distance (line 737) | def embedding_distance(tracks_feat, detections_feat, metric='cosine'):
  function fuse_motion (line 767) | def fuse_motion(cost_matrix, tracks, detections, only_position=False, la...
  function linear_assignment_appearance (line 780) | def linear_assignment_appearance(cost_matrix, thresh):
  function fuse_score (line 793) | def fuse_score(cost_matrix, det_scores):

FILE: trackers/hybrid_sort_tracker/hybrid_sort.py
  function k_previous_obs (line 10) | def k_previous_obs(observations, cur_age, k):
  function convert_bbox_to_z (line 21) | def convert_bbox_to_z(bbox):
  function convert_x_to_bbox (line 40) | def convert_x_to_bbox(x, score=None):
  function speed_direction (line 54) | def speed_direction(bbox1, bbox2):
  function speed_direction_lt (line 61) | def speed_direction_lt(bbox1, bbox2):
  function speed_direction_rt (line 68) | def speed_direction_rt(bbox1, bbox2):
  function speed_direction_lb (line 75) | def speed_direction_lb(bbox1, bbox2):
  function speed_direction_rb (line 82) | def speed_direction_rb(bbox1, bbox2):
  class KalmanBoxTracker (line 89) | class KalmanBoxTracker(object):
    method __init__ (line 95) | def __init__(self, bbox, delta_t=3, orig=False, args=None):
    method update (line 176) | def update(self, bbox):
    method predict (line 243) | def predict(self):
    method get_state (line 262) | def get_state(self):
  class Hybrid_Sort (line 284) | class Hybrid_Sort(object):
    method __init__ (line 285) | def __init__(self, args, det_thresh, max_age=30, min_hits=3,
    method update (line 303) | def update(self, output_results, img_info, img_size):
    method update_public (line 457) | def update_public(self, dets, cates, scores):

FILE: trackers/hybrid_sort_tracker/hybrid_sort_reid.py
  function k_previous_obs (line 12) | def k_previous_obs(observations, cur_age, k):
  function convert_bbox_to_z (line 23) | def convert_bbox_to_z(bbox):
  function convert_x_to_bbox (line 42) | def convert_x_to_bbox(x, score=None):
  function speed_direction (line 56) | def speed_direction(bbox1, bbox2):
  function speed_direction_lt (line 63) | def speed_direction_lt(bbox1, bbox2):
  function speed_direction_rt (line 70) | def speed_direction_rt(bbox1, bbox2):
  function speed_direction_lb (line 77) | def speed_direction_lb(bbox1, bbox2):
  function speed_direction_rb (line 84) | def speed_direction_rb(bbox1, bbox2):
  class KalmanBoxTracker (line 91) | class KalmanBoxTracker(object):
    method __init__ (line 97) | def __init__(self, bbox, temp_feat, delta_t=3, orig=False, buffer_size...
    method update_features (line 171) | def update_features(self, feat, score=-1):
    method camera_update (line 190) | def camera_update(self, warp_matrix):
    method update (line 204) | def update(self, bbox, id_feature, update_feature=True):
    method predict (line 267) | def predict(self):
    method get_state (line 285) | def get_state(self):
  class Hybrid_Sort_ReID (line 307) | class Hybrid_Sort_ReID(object):
    method __init__ (line 308) | def __init__(self, args, det_thresh, max_age=30, min_hits=3,
    method camera_update (line 327) | def camera_update(self, trackers, warp_matrix):
    method update (line 331) | def update(self, output_results, img_info, img_size, id_feature=None, ...
    method update_public (line 526) | def update_public(self, dets, cates, scores):

FILE: trackers/hybrid_sort_tracker/kalmanfilter.py
  class KalmanFilterNew (line 109) | class KalmanFilterNew(object):
    method __init__ (line 283) | def __init__(self, dim_x, dim_z, dim_u=0, args=None):
    method predict (line 340) | def predict(self, u=None, B=None, F=None, Q=None):
    method freeze (line 384) | def freeze(self):
    method unfreeze (line 391) | def unfreeze(self):
    method update (line 441) | def update(self, z, R=None, H=None):
    method predict_steadystate (line 538) | def predict_steadystate(self, u=0, B=None):
    method update_steadystate (line 567) | def update_steadystate(self, z):
    method update_correlated (line 634) | def update_correlated(self, z, R=None, H=None):
    method batch_filter (line 711) | def batch_filter(self, zs, Fs=None, Qs=None, Hs=None,
    method rts_smoother (line 847) | def rts_smoother(self, Xs, Ps, Fs=None, Qs=None, inv=np.linalg.inv):
    method get_prediction (line 911) | def get_prediction(self, u=None, B=None, F=None, Q=None):
    method get_update (line 954) | def get_update(self, z=None):
    method residual_of (line 999) | def residual_of(self, z):
    method measurement_of_state (line 1007) | def measurement_of_state(self, x):
    method log_likelihood (line 1024) | def log_likelihood(self):
    method likelihood (line 1033) | def likelihood(self):
    method mahalanobis (line 1048) | def mahalanobis(self):
    method alpha (line 1061) | def alpha(self):
    method log_likelihood_of (line 1071) | def log_likelihood_of(self, z):
    method alpha (line 1082) | def alpha(self, value):
    method __repr__ (line 1088) | def __repr__(self):
    method test_matrix_dimensions (line 1118) | def test_matrix_dimensions(self, z=None, H=None, R=None, F=None, Q=None):
  function update (line 1218) | def update(x, P, z, R, H=None, return_all=False):
  function update_steadystate (line 1310) | def update_steadystate(x, z, K, H=None):
  function predict (line 1358) | def predict(x, P, F=1, Q=0, u=0, B=1, alpha=1.):
  function predict_steadystate (line 1399) | def predict_steadystate(x, F=1, u=0, B=1):
  function batch_filter (line 1431) | def batch_filter(x, P, zs, Fs, Qs, Hs, Rs, Bs=None, us=None,
  function rts_smoother (line 1539) | def rts_smoother(Xs, Ps, Fs, Qs):

FILE: trackers/hybrid_sort_tracker/kalmanfilter_score.py
  class KalmanFilterNew_score (line 109) | class KalmanFilterNew_score(object):
    method __init__ (line 283) | def __init__(self, dim_x, dim_z, dim_u=0, args=None):
    method predict (line 340) | def predict(self, u=None, B=None, F=None, Q=None):
    method freeze (line 383) | def freeze(self):
    method unfreeze (line 390) | def unfreeze(self):
    method update (line 439) | def update(self, z, R=None, H=None, confidence=0.0):
    method predict_steadystate (line 533) | def predict_steadystate(self, u=0, B=None):
    method update_steadystate (line 562) | def update_steadystate(self, z):
    method update_correlated (line 629) | def update_correlated(self, z, R=None, H=None):
    method batch_filter (line 706) | def batch_filter(self, zs, Fs=None, Qs=None, Hs=None,
    method rts_smoother (line 842) | def rts_smoother(self, Xs, Ps, Fs=None, Qs=None, inv=np.linalg.inv):
    method get_prediction (line 906) | def get_prediction(self, u=None, B=None, F=None, Q=None):
    method get_update (line 949) | def get_update(self, z=None):
    method residual_of (line 994) | def residual_of(self, z):
    method measurement_of_state (line 1002) | def measurement_of_state(self, x):
    method log_likelihood (line 1019) | def log_likelihood(self):
    method likelihood (line 1028) | def likelihood(self):
    method mahalanobis (line 1043) | def mahalanobis(self):
    method alpha (line 1056) | def alpha(self):
    method log_likelihood_of (line 1066) | def log_likelihood_of(self, z):
    method alpha (line 1077) | def alpha(self, value):
    method __repr__ (line 1083) | def __repr__(self):
    method test_matrix_dimensions (line 1113) | def test_matrix_dimensions(self, z=None, H=None, R=None, F=None, Q=None):
  function update (line 1213) | def update(x, P, z, R, H=None, return_all=False):
  function update_steadystate (line 1305) | def update_steadystate(x, z, K, H=None):
  function predict (line 1353) | def predict(x, P, F=1, Q=0, u=0, B=1, alpha=1.):
  function predict_steadystate (line 1394) | def predict_steadystate(x, F=1, u=0, B=1):
  function batch_filter (line 1426) | def batch_filter(x, P, zs, Fs, Qs, Hs, Rs, Bs=None, us=None,
  function rts_smoother (line 1534) | def rts_smoother(Xs, Ps, Fs, Qs):

FILE: trackers/hybrid_sort_tracker/kalmanfilter_score_new.py
  class KalmanFilterNew_score_new (line 109) | class KalmanFilterNew_score_new(object):
    method __init__ (line 283) | def __init__(self, dim_x, dim_z, dim_u=0, args=None):
    method predict (line 340) | def predict(self, u=None, B=None, F=None, Q=None):
    method freeze (line 384) | def freeze(self):
    method unfreeze (line 391) | def unfreeze(self):
    method update (line 443) | def update(self, z, R=None, H=None):
    method predict_steadystate (line 540) | def predict_steadystate(self, u=0, B=None):
    method update_steadystate (line 569) | def update_steadystate(self, z):
    method update_correlated (line 636) | def update_correlated(self, z, R=None, H=None):
    method batch_filter (line 713) | def batch_filter(self, zs, Fs=None, Qs=None, Hs=None,
    method rts_smoother (line 849) | def rts_smoother(self, Xs, Ps, Fs=None, Qs=None, inv=np.linalg.inv):
    method get_prediction (line 913) | def get_prediction(self, u=None, B=None, F=None, Q=None):
    method get_update (line 956) | def get_update(self, z=None):
    method residual_of (line 1001) | def residual_of(self, z):
    method measurement_of_state (line 1009) | def measurement_of_state(self, x):
    method log_likelihood (line 1026) | def log_likelihood(self):
    method likelihood (line 1035) | def likelihood(self):
    method mahalanobis (line 1050) | def mahalanobis(self):
    method alpha (line 1063) | def alpha(self):
    method log_likelihood_of (line 1073) | def log_likelihood_of(self, z):
    method alpha (line 1084) | def alpha(self, value):
    method __repr__ (line 1090) | def __repr__(self):
    method test_matrix_dimensions (line 1120) | def test_matrix_dimensions(self, z=None, H=None, R=None, F=None, Q=None):
  function update (line 1220) | def update(x, P, z, R, H=None, return_all=False):
  function update_steadystate (line 1312) | def update_steadystate(x, z, K, H=None):
  function predict (line 1360) | def predict(x, P, F=1, Q=0, u=0, B=1, alpha=1.):
  function predict_steadystate (line 1401) | def predict_steadystate(x, F=1, u=0, B=1):
  function batch_filter (line 1433) | def batch_filter(x, P, zs, Fs, Qs, Hs, Rs, Bs=None, us=None,
  function rts_smoother (line 1541) | def rts_smoother(Xs, Ps, Fs, Qs):

FILE: trackers/hybrid_sort_tracker/new_kalmanfilter.py
  class KalmanFilterNew (line 109) | class KalmanFilterNew(object):
    method __init__ (line 283) | def __init__(self, dim_x, dim_z, dim_u=0):
    method predict (line 339) | def predict(self, u=None, B=None, F=None, Q=None):
    method freeze (line 383) | def freeze(self):
    method unfreeze (line 390) | def unfreeze(self):
    method update (line 439) | def update(self, z, R=None, H=None):
    method predict_steadystate (line 530) | def predict_steadystate(self, u=0, B=None):
    method update_steadystate (line 559) | def update_steadystate(self, z):
    method update_correlated (line 626) | def update_correlated(self, z, R=None, H=None):
    method batch_filter (line 703) | def batch_filter(self, zs, Fs=None, Qs=None, Hs=None,
    method rts_smoother (line 839) | def rts_smoother(self, Xs, Ps, Fs=None, Qs=None, inv=np.linalg.inv):
    method get_prediction (line 903) | def get_prediction(self, u=None, B=None, F=None, Q=None):
    method get_update (line 946) | def get_update(self, z=None):
    method residual_of (line 991) | def residual_of(self, z):
    method measurement_of_state (line 999) | def measurement_of_state(self, x):
    method log_likelihood (line 1016) | def log_likelihood(self):
    method likelihood (line 1025) | def likelihood(self):
    method mahalanobis (line 1040) | def mahalanobis(self):
    method alpha (line 1053) | def alpha(self):
    method log_likelihood_of (line 1063) | def log_likelihood_of(self, z):
    method alpha (line 1074) | def alpha(self, value):
    method __repr__ (line 1080) | def __repr__(self):
    method test_matrix_dimensions (line 1110) | def test_matrix_dimensions(self, z=None, H=None, R=None, F=None, Q=None):
  function update (line 1210) | def update(x, P, z, R, H=None, return_all=False):
  function update_steadystate (line 1302) | def update_steadystate(x, z, K, H=None):
  function predict (line 1350) | def predict(x, P, F=1, Q=0, u=0, B=1, alpha=1.):
  function predict_steadystate (line 1391) | def predict_steadystate(x, F=1, u=0, B=1):
  function batch_filter (line 1423) | def batch_filter(x, P, zs, Fs, Qs, Hs, Rs, Bs=None, us=None,
  function rts_smoother (line 1531) | def rts_smoother(Xs, Ps, Fs, Qs):

FILE: trackers/motdt_tracker/basetrack.py
  class TrackState (line 5) | class TrackState(object):
  class BaseTrack (line 13) | class BaseTrack(object):
    method end_frame (line 32) | def end_frame(self):
    method next_id (line 36) | def next_id():
    method activate (line 40) | def activate(self, *args):
    method predict (line 43) | def predict(self):
    method update (line 46) | def update(self, *args, **kwargs):
    method mark_lost (line 49) | def mark_lost(self):
    method mark_removed (line 52) | def mark_removed(self):
    method mark_replaced (line 55) | def mark_replaced(self):

FILE: trackers/motdt_tracker/kalman_filter.py
  class KalmanFilter (line 23) | class KalmanFilter(object):
    method __init__ (line 40) | def __init__(self):
    method initiate (line 55) | def initiate(self, measurement):
    method predict (line 88) | def predict(self, mean, covariance):
    method project (line 126) | def project(self, mean, covariance):
    method multi_predict (line 155) | def multi_predict(self, mean, covariance):
    method update (line 194) | def update(self, mean, covariance, measurement):
    method gating_distance (line 228) | def gating_distance(self, mean, covariance, measurements,

FILE: trackers/motdt_tracker/kalman_filter_score.py
  class KalmanFilter_score (line 23) | class KalmanFilter_score(object):
    method __init__ (line 41) | def __init__(self):
    method initiate (line 56) | def initiate(self, measurement):
    method predict (line 92) | def predict(self, mean, covariance):
    method project (line 124) | def project(self, mean, covariance):
    method multi_predict (line 150) | def multi_predict(self, mean, covariance):
    method update (line 183) | def update(self, mean, covariance, measurement):
    method gating_distance (line 217) | def gating_distance(self, mean, covariance, measurements,

FILE: trackers/motdt_tracker/matching.py
  function _indices_to_matches (line 10) | def _indices_to_matches(cost_matrix, indices, thresh):
  function linear_assignment (line 21) | def linear_assignment(cost_matrix, thresh):
  function ious (line 35) | def ious(atlbrs, btlbrs):
  function hmiou (line 53) | def hmiou(bboxes1, bboxes2):
  function iou_distance (line 95) | def iou_distance(atracks, btracks):
  function hmiou_distance (line 109) | def hmiou_distance(atracks, btracks):
  function nearest_reid_distance (line 124) | def nearest_reid_distance(tracks, detections, metric='cosine'):
  function nearest_reid_distance_with_score (line 141) | def nearest_reid_distance_with_score(tracks, detections, metric='cosine'...
  function mean_reid_distance (line 160) | def mean_reid_distance(tracks, detections, metric='cosine'):
  function gate_cost_matrix (line 179) | def gate_cost_matrix(kf, cost_matrix, tracks, detections, only_position=...

FILE: trackers/motdt_tracker/motdt_tracker.py
  class STrack (line 20) | class STrack(BaseTrack):
    method __init__ (line 22) | def __init__(self, tlwh, score, max_n_features=100, from_det=True):
    method set_feature (line 44) | def set_feature(self, feature):
    method predict (line 53) | def predict(self):
    method self_tracking (line 67) | def self_tracking(self, image):
    method activate (line 71) | def activate(self, kalman_filter, frame_id, image):
    method re_activate (line 91) | def re_activate(self, new_track, frame_id, image, new_id=False):
    method update (line 107) | def update(self, new_track, frame_id, image, update_feature=True):
    method tlwh (line 138) | def tlwh(self):
    method tlbr (line 151) | def tlbr(self):
    method tlwh_to_xyah (line 161) | def tlwh_to_xyah(tlwh):
    method to_xyah (line 170) | def to_xyah(self):
    method tracklet_score (line 173) | def tracklet_score(self):
    method __repr__ (line 180) | def __repr__(self):
  class OnlineTracker (line 184) | class OnlineTracker(object):
    method __init__ (line 186) | def __init__(self, model_folder, min_cls_score=0.4, min_ap_dist=0.8, m...
    method update (line 206) | def update(self, output_results, img_info, img_size, img_file_name):
    method _xyxy_to_tlwh_array (line 369) | def _xyxy_to_tlwh_array(bbox_xyxy):

FILE: trackers/motdt_tracker/motdt_tracker_score.py
  class STrack (line 20) | class STrack(BaseTrack):
    method __init__ (line 22) | def __init__(self, tlwh, score, max_n_features=100, from_det=True):
    method set_feature (line 47) | def set_feature(self, feature):
    method predict (line 56) | def predict(self):
    method self_tracking (line 71) | def self_tracking(self, image):
    method activate (line 75) | def activate(self, kalman_filter, frame_id, image, KalmanFilter_score):
    method re_activate (line 97) | def re_activate(self, new_track, frame_id, image, new_id=False):
    method update (line 118) | def update(self, new_track, frame_id, image, update_feature=True):
    method tlwh (line 152) | def tlwh(self):
    method score_kalman (line 165) | def score_kalman(self):
    method tlbr (line 176) | def tlbr(self):
    method tlwh_to_xyah (line 186) | def tlwh_to_xyah(tlwh):
    method to_xyah (line 195) | def to_xyah(self):
    method tracklet_score (line 198) | def tracklet_score(self):
    method __repr__ (line 205) | def __repr__(self):
  class OnlineTracker_score (line 209) | class OnlineTracker_score(object):
    method __init__ (line 211) | def __init__(self, model_folder, args, min_cls_score=0.4, min_ap_dist=...
    method update (line 232) | def update(self, output_results, img_info, img_size, img_file_name):
    method _xyxy_to_tlwh_array (line 384) | def _xyxy_to_tlwh_array(bbox_xyxy):

FILE: trackers/motdt_tracker/reid_model.py
  function clip_boxes (line 15) | def clip_boxes(boxes, im_shape):
  function load_net (line 34) | def load_net(fname, net, prefix='', load_state_dict=False):
  class Inception (line 110) | class Inception(nn.Module):
    method __init__ (line 111) | def __init__(self, in_planes, n1x1, n3x3red, n3x3, n5x5red, n5x5, pool...
    method forward (line 144) | def forward(self, x):
  class GoogLeNet (line 152) | class GoogLeNet(nn.Module):
    method __init__ (line 156) | def __init__(self):
    method forward (line 186) | def forward(self, x):
  class Model (line 200) | class Model(nn.Module):
    method __init__ (line 201) | def __init__(self, n_parts=8):
    method forward (line 214) | def forward(self, x):
  function load_reid_model (line 234) | def load_reid_model(ckpt):
  function im_preprocess (line 245) | def im_preprocess(image):
  function extract_image_patches (line 252) | def extract_image_patches(image, bboxes):
  function extract_reid_features (line 259) | def extract_reid_features(reid_model, image, tlbrs):

FILE: trackers/ocsort_tracker/association.py
  function iou_batch (line 5) | def iou_batch(bboxes1, bboxes2):
  function giou_batch (line 24) | def giou_batch(bboxes1, bboxes2):
  function diou_batch (line 59) | def diou_batch(bboxes1, bboxes2):
  function ciou_batch (line 98) | def ciou_batch(bboxes1, bboxes2):
  function ct_dist (line 152) | def ct_dist(bboxes1, bboxes2):
  function speed_direction_batch (line 177) | def speed_direction_batch(dets, tracks):
  function linear_assignment (line 189) | def linear_assignment(cost_matrix):
  function associate_detections_to_trackers (line 200) | def associate_detections_to_trackers(detections,trackers,iou_threshold =...
  function associate (line 244) | def associate(detections, trackers, iou_threshold, velocities, previous_...
  function associate_kitti (line 303) | def associate_kitti(detections, trackers, det_cates, iou_threshold,

FILE: trackers/ocsort_tracker/kalmanfilter.py
  class KalmanFilterNew (line 109) | class KalmanFilterNew(object):
    method __init__ (line 283) | def __init__(self, dim_x, dim_z, dim_u=0):
    method predict (line 339) | def predict(self, u=None, B=None, F=None, Q=None):
    method freeze (line 383) | def freeze(self):
    method unfreeze (line 390) | def unfreeze(self):
    method update (line 437) | def update(self, z, R=None, H=None):
    method predict_steadystate (line 528) | def predict_steadystate(self, u=0, B=None):
    method update_steadystate (line 557) | def update_steadystate(self, z):
    method update_correlated (line 624) | def update_correlated(self, z, R=None, H=None):
    method batch_filter (line 701) | def batch_filter(self, zs, Fs=None, Qs=None, Hs=None,
    method rts_smoother (line 837) | def rts_smoother(self, Xs, Ps, Fs=None, Qs=None, inv=np.linalg.inv):
    method get_prediction (line 901) | def get_prediction(self, u=None, B=None, F=None, Q=None):
    method get_update (line 944) | def get_update(self, z=None):
    method residual_of (line 989) | def residual_of(self, z):
    method measurement_of_state (line 997) | def measurement_of_state(self, x):
    method log_likelihood (line 1014) | def log_likelihood(self):
    method likelihood (line 1023) | def likelihood(self):
    method mahalanobis (line 1038) | def mahalanobis(self):
    method alpha (line 1051) | def alpha(self):
    method log_likelihood_of (line 1061) | def log_likelihood_of(self, z):
    method alpha (line 1072) | def alpha(self, value):
    method __repr__ (line 1078) | def __repr__(self):
    method test_matrix_dimensions (line 1108) | def test_matrix_dimensions(self, z=None, H=None, R=None, F=None, Q=None):
  function update (line 1208) | def update(x, P, z, R, H=None, return_all=False):
  function update_steadystate (line 1300) | def update_steadystate(x, z, K, H=None):
  function predict (line 1348) | def predict(x, P, F=1, Q=0, u=0, B=1, alpha=1.):
  function predict_steadystate (line 1389) | def predict_steadystate(x, F=1, u=0, B=1):
  function batch_filter (line 1421) | def batch_filter(x, P, zs, Fs, Qs, Hs, Rs, Bs=None, us=None,
  function rts_smoother (line 1529) | def rts_smoother(Xs, Ps, Fs, Qs):

FILE: trackers/ocsort_tracker/ocsort.py
  function k_previous_obs (line 10) | def k_previous_obs(observations, cur_age, k):
  function convert_bbox_to_z (line 21) | def convert_bbox_to_z(bbox):
  function convert_x_to_bbox (line 36) | def convert_x_to_bbox(x, score=None):
  function speed_direction (line 49) | def speed_direction(bbox1, bbox2):
  class KalmanBoxTracker (line 57) | class KalmanBoxTracker(object):
    method __init__ (line 63) | def __init__(self, bbox, delta_t=3, orig=False):
    method update (line 105) | def update(self, bbox):
    method predict (line 140) | def predict(self):
    method get_state (line 155) | def get_state(self):
  class OCSort (line 175) | class OCSort(object):
    method __init__ (line 176) | def __init__(self, det_thresh, max_age=30, min_hits=3,
    method update (line 193) | def update(self, output_results, img_info, img_size):
    method update_public (line 327) | def update_public(self, dets, cates, scores):

FILE: trackers/sort_tracker/sort.py
  function linear_assignment (line 25) | def linear_assignment(cost_matrix):
  function iou_batch (line 36) | def iou_batch(bb_test, bb_gt):
  function hmiou (line 55) | def hmiou(bboxes1, bboxes2):
  function convert_bbox_to_z (line 86) | def convert_bbox_to_z(bbox):
  function convert_x_to_bbox (line 101) | def convert_x_to_bbox(x,score=None):
  class KalmanBoxTracker (line 114) | class KalmanBoxTracker(object):
    method __init__ (line 119) | def __init__(self,bbox):
    method update (line 143) | def update(self,bbox):
    method predict (line 153) | def predict(self):
    method get_state (line 167) | def get_state(self):
  function associate_detections_to_trackers (line 174) | def associate_detections_to_trackers(detections,trackers,iou_threshold =...
  class Sort (line 223) | class Sort(object):
    method __init__ (line 224) | def __init__(self, args, det_thresh, max_age=30, min_hits=3, iou_thres...
    method update (line 236) | def update(self, output_results, img_info, img_size):

FILE: trackers/sort_tracker/sort_score.py
  function linear_assignment (line 25) | def linear_assignment(cost_matrix):
  function iou_batch (line 36) | def iou_batch(bb_test, bb_gt):
  function cal_score_dif_batch (line 54) | def cal_score_dif_batch(bboxes1, bboxes2):
  function convert_bbox_to_z (line 67) | def convert_bbox_to_z(bbox):
  function convert_x_to_bbox (line 82) | def convert_x_to_bbox(x,score=None):
  class KalmanBoxTracker (line 95) | class KalmanBoxTracker(object):
    method __init__ (line 100) | def __init__(self,bbox,det_thresh):
    method update (line 137) | def update(self,bbox):
    method predict (line 149) | def predict(self):
    method get_state (line 164) | def get_state(self):
  function associate_detections_to_trackers (line 171) | def associate_detections_to_trackers(detections, trackers, args, iou_thr...
  class Sort_score (line 219) | class Sort_score(object):
    method __init__ (line 220) | def __init__(self, args, det_thresh, max_age=30, min_hits=3, iou_thres...
    method update (line 232) | def update(self, output_results, img_info, img_size):

FILE: trackers/tracking_utils/evaluation.py
  class Evaluator (line 10) | class Evaluator(object):
    method __init__ (line 12) | def __init__(self, data_root, seq_name, data_type):
    method load_annotations (line 20) | def load_annotations(self):
    method reset_accumulator (line 27) | def reset_accumulator(self):
    method eval_frame (line 30) | def eval_frame(self, frame_id, trk_tlwhs, trk_ids, rtn_events=False):
    method eval_file (line 78) | def eval_file(self, filename):
    method get_summary (line 92) | def get_summary(accs, names, metrics=('mota', 'num_switches', 'idp', '...
    method save_summary (line 109) | def save_summary(summary, filename):

FILE: trackers/tracking_utils/io.py
  function write_results (line 6) | def write_results(filename, results_dict: Dict, data_type: str):
  function read_results (line 33) | def read_results(filename, data_type: str, is_gt=False, is_ignore=False):
  function read_mot_results (line 60) | def read_mot_results(filename, is_gt, is_ignore):
  function unzip_objs (line 109) | def unzip_objs(objs):

FILE: trackers/tracking_utils/timer.py
  class Timer (line 4) | class Timer(object):
    method __init__ (line 6) | def __init__(self):
    method tic (line 15) | def tic(self):
    method toc (line 20) | def toc(self, average=True):
    method clear (line 31) | def clear(self):

FILE: trackeval/_timing.py
  function time (line 11) | def time(f):

FILE: trackeval/baselines/baseline_utils.py
  function load_seq (line 12) | def load_seq(file_to_load):
  function threshold (line 80) | def threshold(tdata, thresh):
  function create_coco_mask (line 89) | def create_coco_mask(mask_rles, im_hs, im_ws):
  function mask_iou (line 96) | def mask_iou(mask_rles1, mask_rles2, im_hs, im_ws, do_ioa=0):
  function sort_by_score (line 115) | def sort_by_score(t_data):
  function mask_NMS (line 123) | def mask_NMS(t_data, nms_threshold=0.5, already_sorted=False):
  function non_overlap (line 151) | def non_overlap(t_data, already_sorted=False):
  function masks2boxes (line 186) | def masks2boxes(mask_rles, im_hs, im_ws):
  function box_iou (line 195) | def box_iou(bboxes1, bboxes2, box_format='xywh', do_ioa=False, do_giou=F...
  function match (line 247) | def match(match_scores):
  function write_seq (line 252) | def write_seq(output_data, out_file):
  function combine_classes (line 263) | def combine_classes(data):
  function save_as_png (line 288) | def save_as_png(t_data, out_file, im_h, im_w):
  function get_frame_size (line 313) | def get_frame_size(data):

FILE: trackeval/baselines/non_overlap.py
  function do_sequence (line 29) | def do_sequence(seq_file):

FILE: trackeval/baselines/stp.py
  function track_sequence (line 35) | def track_sequence(seq_file):

FILE: trackeval/baselines/thresholder.py
  function do_sequence (line 33) | def do_sequence(seq_file):

FILE: trackeval/baselines/vizualize.py
  function do_sequence (line 31) | def do_sequence(seq_file):

FILE: trackeval/eval.py
  class Evaluator (line 12) | class Evaluator:
    method get_default_eval_config (line 16) | def get_default_eval_config():
    method __init__ (line 39) | def __init__(self, config=None, save_path=None):
    method evaluate (line 50) | def evaluate(self, dataset_list, metrics_list):
  function eval_sequence (line 189) | def eval_sequence(seq, dataset, tracker, class_list, metrics_list, metri...

FILE: trackeval/metrics/_base_metric.py
  class _BaseMetric (line 8) | class _BaseMetric(ABC):
    method __init__ (line 10) | def __init__(self):
    method eval_sequence (line 26) | def eval_sequence(self, data):
    method combine_sequences (line 30) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 34) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 38) | def combine_classes_det_averaged(self, all_res):
    method plot_single_tracker_results (line 41) | def plot_single_tracker_results(self, all_res, tracker, output_folder,...
    method get_name (line 52) | def get_name(cls):
    method _combine_sum (line 56) | def _combine_sum(all_res, field):
    method _combine_weighted_av (line 61) | def _combine_weighted_av(all_res, field, comb_res, weight_field):
    method print_table (line 66) | def print_table(self, table_res, tracker, cls):
    method _summary_row (line 80) | def _summary_row(self, results_):
    method _row_print (line 94) | def _row_print(*argv):
    method summary_results (line 103) | def summary_results(self, table_res):
    method detailed_results (line 107) | def detailed_results(self, table_res):
    method _detailed_row (line 126) | def _detailed_row(self, res):

FILE: trackeval/metrics/clear.py
  class CLEAR (line 8) | class CLEAR(_BaseMetric):
    method get_default_config (line 12) | def get_default_config():
    method __init__ (line 20) | def __init__(self, config=None):
    method eval_sequence (line 38) | def eval_sequence(self, data):
    method combine_sequences (line 133) | def combine_sequences(self, all_res):
    method combine_classes_det_averaged (line 141) | def combine_classes_det_averaged(self, all_res):
    method combine_classes_class_averaged (line 149) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method _compute_final_fields (line 169) | def _compute_final_fields(res):

FILE: trackeval/metrics/count.py
  class Count (line 6) | class Count(_BaseMetric):
    method __init__ (line 8) | def __init__(self, config=None):
    method eval_sequence (line 15) | def eval_sequence(self, data):
    method combine_sequences (line 30) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 37) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 44) | def combine_classes_det_averaged(self, all_res):

FILE: trackeval/metrics/hota.py
  class HOTA (line 9) | class HOTA(_BaseMetric):
    method __init__ (line 14) | def __init__(self, config=None):
    method eval_sequence (line 25) | def eval_sequence(self, data, save_path=None):
    method combine_sequences (line 141) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 153) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 175) | def combine_classes_det_averaged(self, all_res):
    method _compute_final_fields (line 188) | def _compute_final_fields(res):
    method plot_single_tracker_results (line 203) | def plot_single_tracker_results(self, table_res, tracker, cls, output_...

FILE: trackeval/metrics/identity.py
  class Identity (line 8) | class Identity(_BaseMetric):
    method get_default_config (line 12) | def get_default_config():
    method __init__ (line 20) | def __init__(self, config=None):
    method eval_sequence (line 32) | def eval_sequence(self, data):
    method combine_classes_class_averaged (line 94) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 114) | def combine_classes_det_averaged(self, all_res):
    method combine_sequences (line 122) | def combine_sequences(self, all_res):
    method _compute_final_fields (line 131) | def _compute_final_fields(res):

FILE: trackeval/metrics/ideucl.py
  class IDEucl (line 9) | class IDEucl(_BaseMetric):
    method get_default_config (line 13) | def get_default_config():
    method __init__ (line 21) | def __init__(self, config=None):
    method eval_sequence (line 33) | def eval_sequence(self, data):
    method combine_classes_class_averaged (line 88) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 102) | def combine_classes_det_averaged(self, all_res):
    method combine_sequences (line 110) | def combine_sequences(self, all_res):
    method _compute_centroid (line 120) | def _compute_centroid(box):
    method _compute_final_fields (line 130) | def _compute_final_fields(res, res_len):

FILE: trackeval/metrics/j_and_f.py
  class JAndF (line 10) | class JAndF(_BaseMetric):
    method __init__ (line 12) | def __init__(self, config=None):
    method eval_sequence (line 21) | def eval_sequence(self, data):
    method combine_sequences (line 124) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 131) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 140) | def combine_classes_det_averaged(self, all_res):
    method _seg2bmap (line 148) | def _seg2bmap(seg, width=None, height=None):
    method _compute_f (line 207) | def _compute_f(gt_data, tracker_data, tracker_data_id, gt_id, bound_th):
    method _compute_j (line 275) | def _compute_j(gt_data, tracker_data, num_gt_ids, num_tracker_ids, num...

FILE: trackeval/metrics/track_map.py
  class TrackMAP (line 9) | class TrackMAP(_BaseMetric):
    method get_default_metric_config (line 13) | def get_default_metric_config():
    method __init__ (line 33) | def __init__(self, config=None):
    method eval_sequence (line 62) | def eval_sequence(self, data):
    method combine_sequences (line 170) | def combine_sequences(self, all_res):
    method combine_classes_class_averaged (line 277) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 295) | def combine_classes_det_averaged(self, all_res):
    method _compute_track_ig_masks (line 312) | def _compute_track_ig_masks(self, num_ids, track_lengths=None, track_a...
    method _compute_bb_track_iou (line 350) | def _compute_bb_track_iou(dt_track, gt_track, boxformat='xywh'):
    method _compute_mask_track_iou (line 401) | def _compute_mask_track_iou(dt_track, gt_track):
    method _compute_track_ious (line 434) | def _compute_track_ious(dt, gt, iou_function='bbox', boxformat='xywh'):
    method _row_print (line 455) | def _row_print(*argv):

FILE: trackeval/metrics/vace.py
  class VACE (line 7) | class VACE(_BaseMetric):
    method __init__ (line 18) | def __init__(self, config=None):
    method eval_sequence (line 31) | def eval_sequence(self, data):
    method combine_classes_class_averaged (line 95) | def combine_classes_class_averaged(self, all_res, ignore_empty_classes...
    method combine_classes_det_averaged (line 108) | def combine_classes_det_averaged(self, all_res):
    method combine_sequences (line 116) | def combine_sequences(self, all_res):
    method _compute_final_fields (line 125) | def _compute_final_fields(additive):

FILE: trackeval/plotting.py
  function plot_compare_trackers (line 7) | def plot_compare_trackers(tracker_folder, tracker_list, cls, output_fold...
  function get_default_plots_list (line 22) | def get_default_plots_list():
  function load_multiple_tracker_summaries (line 38) | def load_multiple_tracker_summaries(tracker_folder, tracker_list, cls):
  function create_comparison_plot (line 53) | def create_comparison_plot(data, out_loc, y_label, x_label, sort_label, ...
  function _get_boundaries (line 140) | def _get_boundaries(x_values, y_values, round_val):
  function geometric_mean (line 157) | def geometric_mean(x, y):
  function jaccard (line 161) | def jaccard(x, y):
  function multiplication (line 167) | def multiplication(x, y):
  function _plot_bg_contour (line 178) | def _plot_bg_contour(bg_function, plot_boundaries, gap_val):
  function _plot_pareto_optimal_lines (line 204) | def _plot_pareto_optimal_lines(x_values, y_values):

FILE: trackeval/scripts/run_rob_mots.py
  function rowify (line 128) | def rowify(d):

FILE: trackeval/utils.py
  function init_config (line 8) | def init_config(config, default_config, name=None):
  function update_config (line 23) | def update_config(config):
  function get_code_path (line 55) | def get_code_path():
  function validate_metrics_list (line 60) | def validate_metrics_list(metrics_list):
  function write_summary_results (line 77) | def write_summary_results(summaries, cls, output_folder):
  function write_detailed_results (line 108) | def write_detailed_results(details, cls, output_folder):
  function load_detail (line 124) | def load_detail(file):
  class TrackEvalException (line 144) | class TrackEvalException(Exception):

FILE: utils/args.py
  function make_parser (line 3) | def make_parser():
  function args_merge_params_form_exp (line 119) | def args_merge_params_form_exp(args,exp):

FILE: utils/misc.py
  class NestedTensor (line 27) | class NestedTensor(object):
    method __init__ (line 28) | def __init__(self, tensors, mask: Optional[Tensor]):
    method to (line 32) | def to(self, device):
    method decompose (line 43) | def decompose(self):
    method __repr__ (line 46) | def __repr__(self):
  function nested_tensor_from_tensor_list (line 50) | def nested_tensor_from_tensor_list(tensor_list: List[Tensor]):
  function add_mask (line 75) | def add_mask(tracklets):

FILE: utils/triplet.py
  class _Loss (line 14) | class _Loss(nn.Module):
    method __init__ (line 17) | def __init__(self, size_average=None, reduce=None, reduction: str = 'm...
  class TripletAdaptiveMarginLoss (line 24) | class TripletAdaptiveMarginLoss(_Loss):
    method __init__ (line 101) | def __init__(self, margin: float = 1.0, p: float = 2., eps: float = 1e...
    method forward (line 109) | def forward(self, features: Tensor, piece_ids: Tensor) -> Tensor:

FILE: utils/utils.py
  function write_results (line 9) | def write_results(filename, results):
  function write_results_no_score (line 22) | def write_results_no_score(filename, results):
  function get_iou (line 35) | def get_iou(bb1, bb2):
  function vectorized_iou (line 86) | def vectorized_iou(boxes1, boxes2):
  function batch_iou (line 107) | def batch_iou(a, b, epsilon=1e-5):
  function clip_iou (line 152) | def clip_iou(boxes1,boxes2):
  function multi_iou (line 165) | def multi_iou(boxes1, boxes2):
  function box_cxcywh_to_xyxy (line 176) | def box_cxcywh_to_xyxy(x):
  function box_xyxy_to_cxcywh (line 183) | def box_xyxy_to_cxcywh(x):
  function box_iou (line 191) | def box_iou(boxes1, boxes2):
  function generalized_box_iou (line 207) | def generalized_box_iou(boxes1, boxes2):
  function masks_to_boxes (line 229) | def masks_to_boxes(masks):

FILE: utils/visualize.py
  function zenos_dichotomy (line 21) | def zenos_dichotomy() -> Iterable[Fraction]:
  function fracs (line 28) | def fracs() -> Iterable[Fraction]:
  function hue_to_tones (line 45) | def hue_to_tones(h: Fraction) -> Iterable[HSVTuple]:
  function hsv_to_rgb (line 50) | def hsv_to_rgb(x: HSVTuple) -> RGBTuple:
  function hsvs (line 55) | def hsvs() -> Iterable[HSVTuple]:
  function rgbs (line 58) | def rgbs() -> Iterable[RGBTuple]:
  function rgb_to_css (line 61) | def rgb_to_css(x: RGBTuple) -> str:
  function css_colors (line 68) | def css_colors() -> Iterable[str]:
  function draw_box (line 76) | def draw_box(im, box, thickness=1, color=(255,0,0), trackids=[]):
  function draw_pieces (line 85) | def draw_pieces(pieces_annos, img_dir, save_dir):

FILE: yolox/core/launch.py
  function _find_free_port (line 25) | def _find_free_port():
  function launch (line 40) | def launch(
  function launch_by_subprocess (line 93) | def launch_by_subprocess(
  function _distributed_worker (line 168) | def _distributed_worker(

FILE: yolox/core/trainer.py
  class Trainer (line 33) | class Trainer:
    method __init__ (line 34) | def __init__(self, exp, args):
    method train (line 69) | def train(self):
    method train_in_epoch (line 78) | def train_in_epoch(self):
    method train_in_iter (line 84) | def train_in_iter(self):
    method train_one_iter (line 90) | def train_one_iter(self):
    method before_train (line 123) | def before_train(self):
    method after_train (line 179) | def after_train(self):
    method before_epoch (line 186) | def before_epoch(self):
    method after_epoch (line 203) | def after_epoch(self):
    method before_iter (line 213) | def before_iter(self):
    method after_iter (line 216) | def after_iter(self):
    method progress_in_iter (line 261) | def progress_in_iter(self):
    method resume_train (line 264) | def resume_train(self, model):
    method evaluate_and_save_model (line 297) | def evaluate_and_save_model(self):
    method save_ckpt (line 313) | def save_ckpt(self, ckpt_name, update_best_ckpt=False):

FILE: yolox/data/data_augment.py
  function augment_hsv (line 23) | def augment_hsv(img, hgain=0.015, sgain=0.7, vgain=0.4):
  function box_candidates (line 39) | def box_candidates(box1, box2, wh_thr=2, ar_thr=20, area_thr=0.2):
  function random_perspective (line 54) | def random_perspective(
  function _distort (line 150) | def _distort(image):
  function _mirror (line 180) | def _mirror(image, boxes):
  function preproc (line 189) | def preproc(image, input_size, mean, std, swap=(2, 0, 1)):
  class TrainTransform (line 214) | class TrainTransform:
    method __init__ (line 215) | def __init__(self, p=0.5, rgb_means=None, std=None, max_labels=100):
    method __call__ (line 221) | def __call__(self, image, targets, input_dim):
  class ValTransform (line 273) | class ValTransform:
    method __init__ (line 291) | def __init__(self, rgb_means=None, std=None, swap=(2, 0, 1)):
    method __call__ (line 297) | def __call__(self, img, res, input_size):

FILE: yolox/data/data_prefetcher.py
  class DataPrefetcher (line 13) | class DataPrefetcher:
    method __init__ (line 21) | def __init__(self, loader):
    method preload (line 28) | def preload(self):
    method next (line 40) | def next(self):
    method _input_cuda_for_image (line 51) | def _input_cuda_for_image(self):
    method _record_stream_for_image (line 55) | def _record_stream_for_image(input):
  function random_resize (line 59) | def random_resize(data_loader, exp, epoch, rank, is_distributed):

FILE: yolox/data/dataloading.py
  function get_yolox_datadir (line 15) | def get_yolox_datadir():
  class DataLoader (line 29) | class DataLoader(torchDataLoader):
    method __init__ (line 72) | def __init__(self, *args, **kwargs):
    method close_mosaic (line 120) | def close_mosaic(self):
    method change_input_dim (line 123) | def change_input_dim(self, multiple=32, random_range=(10, 19)):
  function list_collate (line 164) | def list_collate(batch):

FILE: yolox/data/datasets/datasets_wrapper.py
  class ConcatDataset (line 12) | class ConcatDataset(torchConcatDataset):
    method __init__ (line 13) | def __init__(self, datasets):
    method pull_item (line 19) | def pull_item(self, idx):
  class MixConcatDataset (line 34) | class MixConcatDataset(torchConcatDataset):
    method __init__ (line 35) | def __init__(self, datasets):
    method __getitem__ (line 41) | def __getitem__(self, index):
  class Dataset (line 62) | class Dataset(torchDataset):
    method __init__ (line 70) | def __init__(self, input_dimension, mosaic=True):
    method input_dim (line 76) | def input_dim(self):
    method resize_getitem (line 90) | def resize_getitem(getitem_fn):

FILE: yolox/data/datasets/mosaicdetection.py
  function get_mosaic_coordinate (line 16) | def get_mosaic_coordinate(mosaic_image, mosaic_index, xc, yc, w, h, inpu...
  class MosaicDetection (line 37) | class MosaicDetection(Dataset):
    method __init__ (line 40) | def __init__(
    method __len__ (line 73) | def __len__(self):
    method __getitem__ (line 77) | def __getitem__(self, idx):
    method mixup (line 162) | def mixup(self, origin_img, origin_labels, input_dim):

FILE: yolox/data/datasets/mot.py
  class MOTDataset (line 11) | class MOTDataset(Dataset):
    method __init__ (line 16) | def __init__(
    method __len__ (line 51) | def __len__(self):
    method _load_coco_annotations (line 54) | def _load_coco_annotations(self):
    method load_anno_from_ids (line 57) | def load_anno_from_ids(self, id_):
    method load_anno (line 92) | def load_anno(self, index):
    method pull_item (line 95) | def pull_item(self, index):
    method __getitem__ (line 110) | def __getitem__(self, index):

FILE: yolox/data/samplers.py
  class YoloBatchSampler (line 14) | class YoloBatchSampler(torchBatchSampler):
    method __init__ (line 21) | def __init__(self, *args, input_dimension=None, mosaic=True, **kwargs):
    method __iter__ (line 27) | def __iter__(self):
    method __set_input_dim (line 33) | def __set_input_dim(self):
  class InfiniteSampler (line 40) | class InfiniteSampler(Sampler):
    method __init__ (line 51) | def __init__(
    method __iter__ (line 79) | def __iter__(self):
    method _infinite_indices (line 85) | def _infinite_indices(self):
    method __len__ (line 94) | def __len__(self):

FILE: yolox/evaluators/coco_evaluator.py
  class COCOEvaluator (line 27) | class COCOEvaluator:
    method __init__ (line 33) | def __init__(
    method evaluate (line 52) | def evaluate(
    method convert_to_coco_format (line 136) | def convert_to_coco_format(self, outputs, info_imgs, ids):
    method evaluate_prediction (line 168) | def evaluate_prediction(self, data_dict, statistics):

FILE: yolox/evaluators/evaluation.py
  class Evaluator (line 8) | class Evaluator(object):
    method __init__ (line 10) | def __init__(self, data_root, seq_name, data_type, anno="gt.txt"):
    method load_annotations (line 19) | def load_annotations(self):
    method reset_accumulator (line 26) | def reset_accumulator(self):
    method eval_frame (line 29) | def eval_frame(self, frame_id, trk_tlwhs, trk_ids, rtn_events=False):
    method eval_file (line 68) | def eval_file(self, filename):
    method get_summary (line 82) | def get_summary(accs, names, metrics=('mota', 'num_switches', 'idp', '...
    method save_summary (line 99) | def save_summary(summary, filename):
  function read_results (line 106) | def read_results(filename, data_type: str, is_gt=False, is_ignore=False):
  function read_mot_results (line 114) | def read_mot_results(filename, is_gt, is_ignore):
  function unzip_objs (line 158) | def unzip_objs(objs):

FILE: yolox/evaluators/mot_evaluator.py
  class MOTEvaluator (line 35) | class MOTEvaluator:
    method __init__ (line 41) | def __init__(
    method evaluate_public (line 59) | def evaluate_public(
    method evaluate (line 214) | def evaluate(
    method evaluate_byte_score (line 371) | def evaluate_byte_score(
    method evaluate_ocsort (line 527) | def evaluate_ocsort(
    method evaluate_sort_score (line 671) | def evaluate_sort_score(
    method evaluate_sort (line 813) | def evaluate_sort(
    method evaluate_motdt (line 956) | def evaluate_motdt(
    method evaluate_motdt_score (line 1086) | def evaluate_motdt_score(
    method evaluate_deepsort (line 1216) | def evaluate_deepsort(
    method evaluate_deepsort_score (line 1340) | def evaluate_deepsort_score(
    method convert_to_coco_format (line 1463) | def convert_to_coco_format(self, outputs, info_imgs, ids):
    method evaluate_prediction (line 1495) | def evaluate_prediction(self, data_dict, statistics):
    method save_detection_result (line 1549) | def save_detection_result(self, data_dict, result_folder, video_name):

FILE: yolox/evaluators/mot_evaluator_dance.py
  class MOTEvaluator (line 40) | class MOTEvaluator:
    method __init__ (line 46) | def __init__(
    method ECC (line 65) | def ECC(self, src, dst, warp_mode=cv2.MOTION_EUCLIDEAN, eps=1e-5, max_...
    method evaluate (line 161) | def evaluate(
    method evaluate_byte_score (line 280) | def evaluate_byte_score(
    method evaluate_ocsort (line 399) | def evaluate_ocsort(
    method evaluate_hybrid_sort (line 543) | def evaluate_hybrid_sort(
    method evaluate_hybrid_sort_reid (line 720) | def evaluate_hybrid_sort_reid(
    method evaluate_sort (line 932) | def evaluate_sort(
    method evaluate_sort_score (line 1055) | def evaluate_sort_score(
    method evaluate_motdt (line 1178) | def evaluate_motdt(
    method evaluate_motdt_score (line 1301) | def evaluate_motdt_score(
    method evaluate_deepsort (line 1422) | def evaluate_deepsort(
    method evaluate_deepsort_score (line 1544) | def evaluate_deepsort_score(
    method convert_to_coco_format (line 1665) | def convert_to_coco_format(self, outputs, info_imgs, ids):
    method evaluate_prediction (line 1698) | def evaluate_prediction(self, data_dict, statistics):

FILE: yolox/evaluators/mot_evaluator_public.py
  class MOTEvaluatorPublic (line 31) | class MOTEvaluatorPublic:
    method __init__ (line 37) | def __init__(
    method evaluate (line 55) | def evaluate(
    method evaluate_ocsort (line 187) | def evaluate_ocsort(
    method evaluate_deepsort (line 342) | def evaluate_deepsort(
    method evaluate_motdt (line 465) | def evaluate_motdt(
    method convert_to_coco_format (line 590) | def convert_to_coco_format(self, outputs, info_imgs, ids):
    method evaluate_prediction (line 622) | def evaluate_prediction(self, data_dict, statistics):
    method save_detection_result (line 676) | def save_detection_result(self, data_dict, result_folder, video_name):

FILE: yolox/exp/base_exp.py
  class BaseExp (line 17) | class BaseExp(metaclass=ABCMeta):
    method __init__ (line 20) | def __init__(self):
    method get_model (line 27) | def get_model(self) -> Module:
    method get_data_loader (line 31) | def get_data_loader(
    method get_optimizer (line 37) | def get_optimizer(self, batch_size: int) -> torch.optim.Optimizer:
    method get_lr_scheduler (line 41) | def get_lr_scheduler(
    method get_evaluator (line 47) | def get_evaluator(self):
    method eval (line 51) | def eval(self, model, evaluator, weights):
    method __repr__ (line 54) | def __repr__(self):
    method merge (line 63) | def merge(self, cfg_list):

FILE: yolox/exp/build.py
  function get_exp_by_file (line 10) | def get_exp_by_file(exp_file):
  function get_exp_by_name (line 20) | def get_exp_by_name(exp_name):
  function get_exp (line 38) | def get_exp(exp_file, exp_name):

FILE: yolox/exp/yolox_base.py
  class Exp (line 15) | class Exp(BaseExp):
    method __init__ (line 16) | def __init__(self):
    method get_model (line 62) | def get_model(self):
    method get_data_loader (line 81) | def get_data_loader(self, batch_size, is_distributed, no_aug=False):
    method random_resize (line 140) | def random_resize(self, data_loader, epoch, rank, is_distributed):
    method get_optimizer (line 159) | def get_optimizer(self, batch_size):
    method get_lr_scheduler (line 187) | def get_lr_scheduler(self, lr, iters_per_epoch):
    method get_eval_loader (line 202) | def get_eval_loader(self, batch_size, is_distributed, testdev=False):
    method get_evaluator (line 233) | def get_evaluator(self, batch_size, is_distributed, testdev=False):
    method eval (line 247) | def eval(self, model, evaluator, is_distributed, half=False):

FILE: yolox/layers/csrc/cocoeval/cocoeval.cpp
  type COCOeval (line 10) | namespace COCOeval {
    function SortInstancesByDetectionScore (line 16) | void SortInstancesByDetectionScore(
    function SortInstancesByIgnore (line 32) | void SortInstancesByIgnore(
    function MatchDetectionsToGroundTruth (line 59) | void MatchDetectionsToGroundTruth(
    function EvaluateImages (line 140) | std::vector<ImageEvaluation> EvaluateImages(
    function list_to_vec (line 201) | std::vector<T> list_to_vec(const py::list& l) {
    function BuildSortedDetectionList (line 221) | int BuildSortedDetectionList(
    function ComputePrecisionRecallCurve (line 282) | void ComputePrecisionRecallCurve(
    function Accumulate (line 370) | py::dict Accumulate(

FILE: yolox/layers/csrc/cocoeval/cocoeval.h
  function namespace (line 12) | namespace COCOeval {

FILE: yolox/layers/csrc/vision.cpp
  function PYBIND11_MODULE (line 3) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {

FILE: yolox/layers/fast_coco_eval_api.py
  class COCOeval_opt (line 19) | class COCOeval_opt(COCOeval):
    method evaluate (line 25) | def evaluate(self):
    method accumulate (line 124) | def accumulate(self):

FILE: yolox/models/darknet.py
  class Darknet (line 10) | class Darknet(nn.Module):
    method __init__ (line 14) | def __init__(
    method make_group_layer (line 59) | def make_group_layer(self, in_channels: int, num_blocks: int, stride: ...
    method make_spp_block (line 66) | def make_spp_block(self, filters_list, in_filters):
    method forward (line 82) | def forward(self, x):
  class CSPDarknet (line 97) | class CSPDarknet(nn.Module):
    method __init__ (line 98) | def __init__(
    method forward (line 167) | def forward(self, x):

FILE: yolox/models/losses.py
  class IOUloss (line 10) | class IOUloss(nn.Module):
    method __init__ (line 11) | def __init__(self, reduction="none", loss_type="iou"):
    method forward (line 16) | def forward(self, pred, target):
  function sigmoid_focal_loss (line 56) | def sigmoid_focal_loss(inputs, targets, num_boxes, alpha: float = 0.25, ...

FILE: yolox/models/network_blocks.py
  class SiLU (line 9) | class SiLU(nn.Module):
    method forward (line 13) | def forward(x):
  function get_activation (line 17) | def get_activation(name="silu", inplace=True):
  class BaseConv (line 29) | class BaseConv(nn.Module):
    method __init__ (line 32) | def __init__(
    method forward (line 50) | def forward(self, x):
    method fuseforward (line 53) | def fuseforward(self, x):
  class DWConv (line 57) | class DWConv(nn.Module):
    method __init__ (line 60) | def __init__(self, in_channels, out_channels, ksize, stride=1, act="si...
    method forward (line 74) | def forward(self, x):
  class Bottleneck (line 79) | class Bottleneck(nn.Module):
    method __init__ (line 81) | def __init__(
    method forward (line 97) | def forward(self, x):
  class ResLayer (line 104) | class ResLayer(nn.Module):
    method __init__ (line 107) | def __init__(self, in_channels: int):
    method forward (line 117) | def forward(self, x):
  class SPPBottleneck (line 122) | class SPPBottleneck(nn.Module):
    method __init__ (line 125) | def __init__(
    method forward (line 140) | def forward(self, x):
  class CSPLayer (line 147) | class CSPLayer(nn.Module):
    method __init__ (line 150) | def __init__(
    method forward (line 180) | def forward(self, x):
  class Focus (line 188) | class Focus(nn.Module):
    method __init__ (line 191) | def __init__(self, in_channels, out_channels, ksize=1, stride=1, act="...
    method forward (line 195) | def forward(self, x):

FILE: yolox/models/yolo_fpn.py
  class YOLOFPN (line 12) | class YOLOFPN(nn.Module):
    method __init__ (line 17) | def __init__(
    method _make_cbl (line 38) | def _make_cbl(self, _in, _out, ks):
    method _make_embedding (line 41) | def _make_embedding(self, filters_list, in_filters):
    method load_pretrained_model (line 53) | def load_pretrained_model(self, filename="./weights/darknet53.mix.pth"):
    method forward (line 59) | def forward(self, inputs):

FILE: yolox/models/yolo_head.py
  class YOLOXHead (line 19) | class YOLOXHead(nn.Module):
    method __init__ (line 20) | def __init__(
    method initialize_biases (line 134) | def initialize_biases(self, prior_prob):
    method forward (line 145) | def forward(self, xin, labels=None, imgs=None):
    method get_output_and_grid (line 218) | def get_output_and_grid(self, output, k, stride, dtype):
    method decode_outputs (line 238) | def decode_outputs(self, outputs, dtype):
    method get_losses (line 255) | def get_losses(
    method get_l1_target (line 429) | def get_l1_target(self, l1_target, gt, stride, x_shifts, y_shifts, eps...
    method get_assignments (line 437) | def get_assignments(
    method get_in_boxes_info (line 536) | def get_in_boxes_info(
    method dynamic_k_matching (line 627) | def dynamic_k_matching(self, cost, pair_wise_ious, gt_classes, num_gt,...

FILE: yolox/models/yolo_pafpn.py
  class YOLOPAFPN (line 12) | class YOLOPAFPN(nn.Module):
    method __init__ (line 17) | def __init__(
    method forward (line 83) | def forward(self, input):

FILE: yolox/models/yolox.py
  class YOLOX (line 11) | class YOLOX(nn.Module):
    method __init__ (line 18) | def __init__(self, backbone=None, head=None):
    method forward (line 28) | def forward(self, x, targets=None):

FILE: yolox/utils/allreduce_norm.py
  function get_async_norm_states (line 32) | def get_async_norm_states(module):
  function pyobj2tensor (line 41) | def pyobj2tensor(pyobj, device="cuda"):
  function tensor2pyobj (line 47) | def tensor2pyobj(tensor):
  function _get_reduce_op (line 52) | def _get_reduce_op(op_name):
  function all_reduce (line 59) | def all_reduce(py_dict, op="sum", group=None):
  function all_reduce_norm (line 97) | def all_reduce_norm(module):

FILE: yolox/utils/boxes.py
  function filter_box (line 22) | def filter_box(output, scale_range):
  function postprocess (line 33) | def postprocess(prediction, num_classes, conf_thre=0.7, nms_thre=0.45):
  function bboxes_iou (line 80) | def bboxes_iou(bboxes_a, bboxes_b, xyxy=True):
  function matrix_iou (line 106) | def matrix_iou(a, b):
  function adjust_box_anns (line 119) | def adjust_box_anns(bbox, scale_ratio, padw, padh, w_max, h_max):
  function xyxy2xywh (line 127) | def xyxy2xywh(bboxes):
  function xyxy2cxcywh (line 133) | def xyxy2cxcywh(bboxes):

FILE: yolox/utils/checkpoint.py
  function load_ckpt (line 12) | def load_ckpt(model, ckpt):
  function save_checkpoint (line 37) | def save_checkpoint(state, is_best, save_dir, model_name=""):

FILE: yolox/utils/demo_utils.py
  function mkdir (line 12) | def mkdir(path):
  function nms (line 17) | def nms(boxes, scores, nms_thr):
  function multiclass_nms (line 47) | def multiclass_nms(boxes, scores, nms_thr, score_thr):
  function demo_postprocess (line 71) | def demo_postprocess(outputs, img_size, p6=False):

FILE: yolox/utils/dist.py
  function synchronize (line 37) | def synchronize():
  function get_world_size (line 51) | def get_world_size() -> int:
  function get_rank (line 59) | def get_rank() -> int:
  function get_local_rank (line 67) | def get_local_rank() -> int:
  function get_local_size (line 80) | def get_local_size() -> int:
  function is_main_process (line 92) | def is_main_process() -> bool:
  function _get_global_gloo_group (line 97) | def _get_global_gloo_group():
  function _serialize_to_tensor (line 108) | def _serialize_to_tensor(data, group):
  function _pad_to_largest_tensor (line 126) | def _pad_to_largest_tensor(tensor, group):
  function all_gather (line 156) | def all_gather(data, group=None):
  function gather (line 194) | def gather(data, dst=0, group=None):
  function shared_random_seed (line 238) | def shared_random_seed():
  function time_synchronized (line 251) | def time_synchronized():

FILE: yolox/utils/ema.py
  function is_parallel (line 11) | def is_parallel(model):
  function copy_attr (line 21) | def copy_attr(a, b, include=(), exclude=()):
  class ModelEMA (line 30) | class ModelEMA:
    method __init__ (line 41) | def __init__(self, model, decay=0.9999, updates=0):
    method update (line 56) | def update(self, model):
    method update_attr (line 70) | def update_attr(self, model, include=(), exclude=("process_group", "re...

FILE: yolox/utils/logger.py
  function get_caller_name (line 12) | def get_caller_name(depth=0):
  class StreamToLoguru (line 28) | class StreamToLoguru:
    method __init__ (line 33) | def __init__(self, level="INFO", caller_names=("apex", "pycocotools")):
    method write (line 44) | def write(self, buf):
    method flush (line 54) | def flush(self):
  function redirect_sys_output (line 58) | def redirect_sys_output(log_level="INFO"):
  function setup_logger (line 64) | def setup_logger(save_dir, distributed_rank=0, filename="log.txt", mode=...

FILE: yolox/utils/lr_scheduler.py
  class LRScheduler (line 9) | class LRScheduler:
    method __init__ (line 10) | def __init__(self, name, lr, iters_per_epoch, total_epochs, **kwargs):
    method update_lr (line 33) | def update_lr(self, iters):
    method _get_lr_func (line 36) | def _get_lr_func(self, name):
  function cos_lr (line 97) | def cos_lr(lr, total_iters, iters):
  function warm_cos_lr (line 103) | def warm_cos_lr(lr, total_iters, warmup_total_iters, warmup_lr_start, it...
  function yolox_warm_cos_lr (line 121) | def yolox_warm_cos_lr(
  function yolox_semi_warm_cos_lr (line 151) | def yolox_semi_warm_cos_lr(
  function multistep_lr (line 201) | def multistep_lr(lr, milestones, gamma, iters):

FILE: yolox/utils/metric.py
  function get_total_and_free_memory_in_Mb (line 22) | def get_total_and_free_memory_in_Mb(cuda_device):
  function occupy_mem (line 31) | def occupy_mem(cuda_device, mem_ratio=0.95):
  function gpu_mem_usage (line 43) | def gpu_mem_usage():
  class AverageMeter (line 51) | class AverageMeter:
    method __init__ (line 56) | def __init__(self, window_size=50):
    method update (line 61) | def update(self, value):
    method median (line 67) | def median(self):
    method avg (line 72) | def avg(self):
    method global_avg (line 78) | def global_avg(self):
    method latest (line 82) | def latest(self):
    method total (line 86) | def total(self):
    method reset (line 89) | def reset(self):
    method clear (line 94) | def clear(self):
  class MeterBuffer (line 98) | class MeterBuffer(defaultdict):
    method __init__ (line 101) | def __init__(self, window_size=20):
    method reset (line 105) | def reset(self):
    method get_filtered_meter (line 109) | def get_filtered_meter(self, filter_key="time"):
    method update (line 112) | def update(self, values=None, **kwargs):
    method clear_meters (line 121) | def clear_meters(self):

FILE: yolox/utils/model_utils.py
  function get_model_info (line 19) | def get_model_info(model, tsize):
  function fuse_conv_and_bn (line 31) | def fuse_conv_and_bn(conv, bn):
  function fuse_model (line 66) | def fuse_model(model):
  function replace_module (line 77) | def replace_module(module, replaced_module_type, new_module_type, replac...

FILE: yolox/utils/setup_env.py
  function configure_nccl (line 13) | def configure_nccl():
  function configure_module (line 25) | def configure_module(ulimit_value=8192):

FILE: yolox/utils/visualize.py
  function vis (line 11) | def vis(img, boxes, scores, cls_ids, conf=0.5, class_names=None):
  function get_color (line 45) | def get_color(idx):
  function plot_tracking (line 52) | def plot_tracking(image, tlwhs, obj_ids, scores=None, frame_id=0, fps=0....
  function plot_tracking_detection (line 83) | def plot_tracking_detection(image, tlwhs, scores, frame_id=0, fps=0., id...