SYMBOL INDEX (70 symbols across 13 files)

FILE: datasets.py
  class ImageDataset (line 34) | class ImageDataset:
    method __init__ (line 35) | def __init__(self, image_path):
    method get_image_name (line 49) | def get_image_name(self, *args, **kwargs):
    method load_image (line 52) | def load_image(self, *args, **kwargs):
  class Dataset (line 55) | class Dataset:
    method __init__ (line 56) | def __init__(self, dataset_name, dataset_set, remove_hards):
    method load_image (line 111) | def load_image(self, im_name):
    method get_image_name (line 124) | def get_image_name(self, inp):
    method extract_gt (line 135) | def extract_gt(self, targets, im_name):
    method extract_classes (line 143) | def extract_classes(self):
    method extract_classes_VOC (line 168) | def extract_classes_VOC(self):
    method extract_classes_COCO (line 179) | def extract_classes_COCO(self):
    method get_hards (line 190) | def get_hards(self):
  function discard_hard_voc (line 211) | def discard_hard_voc(dataloader):
  function extract_gt_COCO (line 231) | def extract_gt_COCO(targets, remove_iscrowd=True):
  function extract_gt_VOC (line 251) | def extract_gt_VOC(targets, remove_hards=False):
  function bbox_iou (line 282) | def bbox_iou(box1, box2, x1y1x2y2=True, GIoU=False, DIoU=False, CIoU=Fal...
  function select_coco_20k (line 336) | def select_coco_20k(sel_file, all_annotations_file):

FILE: main_lost.py
  function hook_fn_forward_qkv (line 217) | def hook_fn_forward_qkv(module, input, output):

FILE: networks.py
  function get_model (line 23) | def get_model(arch, patch_size, resnet_dilate, device):
  class ResNet50Bottom (line 96) | class ResNet50Bottom(nn.Module):
    method __init__ (line 98) | def __init__(self, original_model):
    method forward (line 103) | def forward(self, x):
  class vgg16Bottom (line 108) | class vgg16Bottom(nn.Module):
    method __init__ (line 110) | def __init__(self, original_model):
    method forward (line 117) | def forward(self, x):

FILE: object_discovery.py
  function lost (line 23) | def lost(feats, dims, scales, init_image_size, k_patches=100):
  function patch_scoring (line 60) | def patch_scoring(M, threshold=0.):
  function detect_box (line 81) | def detect_box(A, seed, dims, initial_im_size=None, scales=None):
  function dino_seg (line 123) | def dino_seg(attn, dims, patch_size, head=0):

FILE: tools/convert_pretrained_to_detectron_format.py
  function _load_pytorch_weights (line 8) | def _load_pytorch_weights(file_path):

FILE: tools/evaluate_unsupervised_detection_voc.py
  function parse_rec (line 23) | def parse_rec(filename):
  function voc_ap (line 46) | def voc_ap(rec, prec, use_07_metric=False):
  function voc_eval (line 78) | def voc_eval(detpath, annopath, imagesetfile, classname, ovthresh=0.5, u...
  function hungarian_matching (line 199) | def hungarian_matching(reward_matrix):
  function load_predictions (line 222) | def load_predictions(results_file):
  function sort_detections (line 250) | def sort_detections(detections):

FILE: tools/prepare_coco_LOST_CAD_pseudo_boxes_in_detectron2_format.py
  function get_img_size (line 24) | def get_img_size(ann_file):
  function prepare_annotation_data (line 35) | def prepare_annotation_data(loc_object):

FILE: tools/prepare_voc_LOST_CAD_pseudo_boxes_in_detectron2_format.py
  function get_img_size (line 30) | def get_img_size(ann_file):
  function prepare_annotation_data (line 41) | def prepare_annotation_data(loc_object):

FILE: tools/prepare_voc_LOST_OD_pseudo_boxes_in_detectron2_format.py
  function get_img_size (line 34) | def get_img_size(ann_file):
  function prepare_annotation_data (line 45) | def prepare_annotation_data(loc_object, cluster_to_cls):

FILE: tools/prepare_voc_data_in_coco_style.py
  function get_img_size (line 31) | def get_img_size(ann_file):
  function prepare_annotation_data (line 42) | def prepare_annotation_data(ann_file, class_agnostic=False):

FILE: tools/train_net_for_LOST_CAD.py
  function register_voc_in_coco_style (line 36) | def register_voc_in_coco_style(
  function register_CAD_LOST_pseudo_boxes_for_the_voc2007_trainval_dataset (line 86) | def register_CAD_LOST_pseudo_boxes_for_the_voc2007_trainval_dataset(
  function register_CAD_objects_coco_train_dataset (line 100) | def register_CAD_objects_coco_train_dataset(image_root=None):
  function register_CAD_objects_coco_val_dataset (line 120) | def register_CAD_objects_coco_val_dataset(image_root=None):
  function register_CAD_coco20k_train_gt_dataset (line 140) | def register_CAD_coco20k_train_gt_dataset(
  function register_CAD_LOST_pseudo_boxes_for_the_coco20k_trainval_dataset (line 154) | def register_CAD_LOST_pseudo_boxes_for_the_coco20k_trainval_dataset(
  class Res5ROIHeadsExtraNorm (line 189) | class Res5ROIHeadsExtraNorm(Res5ROIHeads):
    method _build_res5_block (line 194) | def _build_res5_block(self, cfg):
  class Trainer (line 202) | class Trainer(DefaultTrainer):
    method build_evaluator (line 211) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
    method test_with_TTA (line 259) | def test_with_TTA(cls, cfg, model):
  function setup (line 276) | def setup(args):
  function main (line 288) | def main(args):

FILE: tools/train_net_for_LOST_OD.py
  function register_voc_in_coco_style (line 35) | def register_voc_in_coco_style(
  function register_clustered_LOST_pseudo_boxes_for_the_voc2007_trainval_dataset (line 88) | def register_clustered_LOST_pseudo_boxes_for_the_voc2007_trainval_dataset(
  class Res5ROIHeadsExtraNorm (line 109) | class Res5ROIHeadsExtraNorm(Res5ROIHeads):
    method _build_res5_block (line 114) | def _build_res5_block(self, cfg):
  class Trainer (line 122) | class Trainer(DefaultTrainer):
    method build_evaluator (line 131) | def build_evaluator(cls, cfg, dataset_name, output_folder=None):
    method test_with_TTA (line 179) | def test_with_TTA(cls, cfg, model):
  function setup (line 196) | def setup(args):
  function main (line 208) | def main(args):

FILE: visualizations.py
  function visualize_predictions (line 24) | def visualize_predictions(image, pred, seed, scales, dims, vis_folder, i...
  function visualize_fms (line 53) | def visualize_fms(A, seed, scores, dims, scales, output_folder, im_name):
  function visualize_seed_expansion (line 98) | def visualize_seed_expansion(image, pred, seed, pred_seed, scales, dims,...