SYMBOL INDEX (484 symbols across 39 files)

FILE: lib/datasets/coco.py
  class coco (line 27) | class coco(imdb):
    method __init__ (line 28) | def __init__(self, image_set, year):
    method _get_ann_file (line 65) | def _get_ann_file(self):
    method _load_image_set_index (line 71) | def _load_image_set_index(self):
    method _get_widths (line 78) | def _get_widths(self):
    method image_path_at (line 83) | def image_path_at(self, i):
    method image_path_from_index (line 89) | def image_path_from_index(self, index):
    method gt_roidb (line 103) | def gt_roidb(self):
    method _load_coco_annotation (line 123) | def _load_coco_annotation(self, index):
    method _get_widths (line 181) | def _get_widths(self):
    method append_flipped_images (line 184) | def append_flipped_images(self):
    method _get_box_file (line 205) | def _get_box_file(self, index):
    method _print_detection_eval_metrics (line 212) | def _print_detection_eval_metrics(self, coco_eval):
    method _do_detection_eval (line 245) | def _do_detection_eval(self, res_file, output_dir):
    method _coco_results_one_category (line 258) | def _coco_results_one_category(self, boxes, cat_id):
    method _write_coco_results_file (line 276) | def _write_coco_results_file(self, all_boxes, res_file):
    method evaluate_detections (line 294) | def evaluate_detections(self, all_boxes, output_dir):
    method competition_mode (line 310) | def competition_mode(self, on):

FILE: lib/datasets/ds_utils.py
  function unique_boxes (line 13) | def unique_boxes(boxes, scale=1.0):
  function xywh_to_xyxy (line 21) | def xywh_to_xyxy(boxes):
  function xyxy_to_xywh (line 26) | def xyxy_to_xywh(boxes):
  function validate_boxes (line 31) | def validate_boxes(boxes, width=0, height=0):
  function filter_small_boxes (line 45) | def filter_small_boxes(boxes, min_size):

FILE: lib/datasets/factory.py
  function get_imdb (line 44) | def get_imdb(name):
  function list_imdbs (line 51) | def list_imdbs():

FILE: lib/datasets/graspRGB.py
  class graspRGB (line 23) | class graspRGB(imdb):
    method __init__ (line 24) | def __init__(self, image_set, devkit_path):
    method image_path_at (line 55) | def image_path_at(self, i):
    method image_path_from_index (line 61) | def image_path_from_index(self, index):
    method _load_image_set_index (line 74) | def _load_image_set_index(self):
    method gt_roidb (line 89) | def gt_roidb(self):
    method selective_search_roidb (line 110) | def selective_search_roidb(self):
    method _load_selective_search_roidb (line 139) | def _load_selective_search_roidb(self, gt_roidb):
    method selective_search_IJCV_roidb (line 153) | def selective_search_IJCV_roidb(self):
    method _load_selective_search_IJCV_roidb (line 179) | def _load_selective_search_IJCV_roidb(self, gt_roidb):
    method _load_graspRGB_annotation (line 195) | def _load_graspRGB_annotation(self, index):
    method _write_graspRGB_results_file (line 255) | def _write_graspRGB_results_file(self, all_boxes):
    method _do_matlab_eval (line 281) | def _do_matlab_eval(self, comp_id, output_dir='output'):
    method evaluate_detections (line 295) | def evaluate_detections(self, all_boxes, output_dir):
    method competition_mode (line 299) | def competition_mode(self, on):

FILE: lib/datasets/imdb.py
  class imdb (line 20) | class imdb(object):
    method __init__ (line 23) | def __init__(self, name, classes=None):
    method name (line 38) | def name(self):
    method num_classes (line 42) | def num_classes(self):
    method classes (line 46) | def classes(self):
    method image_index (line 50) | def image_index(self):
    method roidb_handler (line 54) | def roidb_handler(self):
    method roidb_handler (line 58) | def roidb_handler(self, val):
    method set_proposal_method (line 61) | def set_proposal_method(self, method):
    method roidb (line 66) | def roidb(self):
    method cache_path (line 78) | def cache_path(self):
    method num_images (line 85) | def num_images(self):
    method image_path_at (line 88) | def image_path_at(self, i):
    method default_roidb (line 91) | def default_roidb(self):
    method evaluate_detections (line 94) | def evaluate_detections(self, all_boxes, output_dir=None):
    method _get_widths (line 105) | def _get_widths(self):
    method append_flipped_images (line 109) | def append_flipped_images(self):
    method evaluate_recall (line 126) | def evaluate_recall(self, candidate_boxes=None, thresholds=None,
    method create_roidb_from_box_list (line 216) | def create_roidb_from_box_list(self, box_list, gt_roidb):
    method merge_roidbs (line 246) | def merge_roidbs(a, b):
    method competition_mode (line 258) | def competition_mode(self, on):

FILE: lib/datasets/pascal_voc.py
  class pascal_voc (line 26) | class pascal_voc(imdb):
    method __init__ (line 27) | def __init__(self, image_set, year, devkit_path=None):
    method image_path_at (line 60) | def image_path_at(self, i):
    method image_path_from_index (line 66) | def image_path_from_index(self, index):
    method _load_image_set_index (line 76) | def _load_image_set_index(self):
    method _get_default_path (line 90) | def _get_default_path(self):
    method gt_roidb (line 96) | def gt_roidb(self):
    method rpn_roidb (line 120) | def rpn_roidb(self):
    method _load_rpn_roidb (line 130) | def _load_rpn_roidb(self, gt_roidb):
    method _load_pascal_annotation (line 139) | def _load_pascal_annotation(self, index):
    method _get_comp_id (line 185) | def _get_comp_id(self):
    method _get_voc_results_file_template (line 190) | def _get_voc_results_file_template(self):
    method _write_voc_results_file (line 201) | def _write_voc_results_file(self, all_boxes):
    method _do_python_eval (line 219) | def _do_python_eval(self, output_dir='output'):
    method _do_matlab_eval (line 264) | def _do_matlab_eval(self, output_dir='output'):
    method evaluate_detections (line 279) | def evaluate_detections(self, all_boxes, output_dir):
    method competition_mode (line 291) | def competition_mode(self, on):

FILE: lib/datasets/tools/mcg_munge.py
  function munge (line 15) | def munge(src_dir):

FILE: lib/datasets/voc_eval.py
  function parse_rec (line 15) | def parse_rec(filename):
  function voc_ap (line 35) | def voc_ap(rec, prec, use_07_metric=False):
  function voc_eval (line 69) | def voc_eval(detpath,

FILE: lib/layer_utils/anchor_target_layer.py
  function anchor_target_layer (line 18) | def anchor_target_layer(rpn_cls_score, gt_boxes, im_info, _feat_stride, ...
  function _unmap (line 142) | def _unmap(data, count, inds, fill=0):
  function _compute_targets (line 156) | def _compute_targets(ex_rois, gt_rois):

FILE: lib/layer_utils/generate_anchors.py
  function generate_anchors (line 41) | def generate_anchors(base_size=16, ratios=[0.5, 1, 2],
  function _whctrs (line 55) | def _whctrs(anchor):
  function _mkanchors (line 67) | def _mkanchors(ws, hs, x_ctr, y_ctr):
  function _ratio_enum (line 82) | def _ratio_enum(anchor, ratios):
  function _scale_enum (line 96) | def _scale_enum(anchor, scales):

FILE: lib/layer_utils/proposal_layer.py
  function proposal_layer (line 16) | def proposal_layer(rpn_cls_prob, rpn_bbox_pred, im_info, cfg_key, _feat_...

FILE: lib/layer_utils/proposal_target_layer.py
  function proposal_target_layer (line 18) | def proposal_target_layer(rpn_rois, rpn_scores, gt_boxes, _num_classes):
  function _get_bbox_regression_labels (line 58) | def _get_bbox_regression_labels(bbox_target_data, num_classes):
  function _compute_targets (line 83) | def _compute_targets(ex_rois, gt_rois, labels):
  function _sample_rois (line 99) | def _sample_rois(all_rois, all_scores, gt_boxes, fg_rois_per_image, rois...

FILE: lib/layer_utils/proposal_top_layer.py
  function proposal_top_layer (line 15) | def proposal_top_layer(rpn_cls_prob, rpn_bbox_pred, im_info, _feat_strid...

FILE: lib/layer_utils/snippets.py
  function generate_anchors_pre (line 17) | def generate_anchors_pre(height, width, feat_stride, anchor_scales=(8,16...

FILE: lib/model/bbox_transform.py
  function bbox_transform (line 13) | def bbox_transform(ex_rois, gt_rois):
  function bbox_transform_inv (line 34) | def bbox_transform_inv(boxes, deltas):
  function clip_boxes (line 67) | def clip_boxes(boxes, im_shape):

FILE: lib/model/config.py
  function get_output_dir (line 274) | def get_output_dir(imdb, weights_filename):
  function get_output_tb_dir (line 290) | def get_output_tb_dir(imdb, weights_filename):
  function _merge_a_into_b (line 306) | def _merge_a_into_b(a, b):
  function cfg_from_file (line 339) | def cfg_from_file(filename):
  function cfg_from_list (line 348) | def cfg_from_list(cfg_list):

FILE: lib/model/nms_wrapper.py
  function nms (line 15) | def nms(dets, thresh, force_cpu=False):

FILE: lib/model/test.py
  function _get_image_blob (line 27) | def _get_image_blob(im):
  function _get_blobs (line 61) | def _get_blobs(im):
  function _clip_boxes (line 68) | def _clip_boxes(boxes, im_shape):
  function _rescale_boxes (line 80) | def _rescale_boxes(boxes, inds, scales):
  function im_detect (line 87) | def im_detect(sess, net, im):
  function apply_nms (line 113) | def apply_nms(all_boxes, thresh):
  function test_net (line 142) | def test_net(sess, net, imdb, weights_filename, max_per_image=100, thres...

FILE: lib/model/train_val.py
  class SolverWrapper (line 27) | class SolverWrapper(object):
    method __init__ (line 32) | def __init__(self, sess, network, imdb, roidb, valroidb, output_dir, t...
    method snapshot (line 45) | def snapshot(self, sess, iter):
    method get_variables_in_checkpoint_file (line 82) | def get_variables_in_checkpoint_file(self, file_name):
    method train_model (line 93) | def train_model(self, sess, max_iters):
  function get_training_roidb (line 286) | def get_training_roidb(imdb):
  function filter_roidb (line 300) | def filter_roidb(roidb):
  function train_net (line 325) | def train_net(network, imdb, roidb, valroidb, output_dir, tb_dir,

FILE: lib/nets/network.py
  class Network (line 25) | class Network(object):
    method __init__ (line 26) | def __init__(self, batch_size=1):
    method _add_image_summary (line 41) | def _add_image_summary(self, image, boxes):
    method _add_act_summary (line 63) | def _add_act_summary(self, tensor):
    method _add_score_summary (line 68) | def _add_score_summary(self, key, tensor):
    method _add_train_summary (line 71) | def _add_train_summary(self, var):
    method _reshape_layer (line 74) | def _reshape_layer(self, bottom, num_dim, name):
    method _softmax_layer (line 86) | def _softmax_layer(self, bottom, name):
    method _proposal_top_layer (line 94) | def _proposal_top_layer(self, rpn_cls_prob, rpn_bbox_pred, name):
    method _proposal_layer (line 105) | def _proposal_layer(self, rpn_cls_prob, rpn_bbox_pred, name):
    method _roi_pool_layer (line 117) | def _roi_pool_layer(self, bootom, rois, name):
    method _crop_pool_layer (line 124) | def _crop_pool_layer(self, bottom, rois, name):
    method _dropout_layer (line 142) | def _dropout_layer(self, bottom, name, ratio=0.5):
    method _anchor_target_layer (line 145) | def _anchor_target_layer(self, rpn_cls_score, name):
    method _proposal_target_layer (line 167) | def _proposal_target_layer(self, rois, roi_scores, name):
    method _anchor_component (line 191) | def _anchor_component(self):
    method build_network (line 205) | def build_network(self, sess, is_training=True):
    method _smooth_l1_loss (line 208) | def _smooth_l1_loss(self, bbox_pred, bbox_targets, bbox_inside_weights...
    method _add_losses (line 223) | def _add_losses(self, sigma_rpn=3.0):
    method create_architecture (line 271) | def create_architecture(self, sess, mode, num_classes, tag=None,
    method get_variables_to_restore (line 341) | def get_variables_to_restore(self, variables, var_keep_dic):
    method fix_variables (line 344) | def fix_variables(self, sess, pretrained_model):
    method extract_head (line 349) | def extract_head(self, sess, image):
    method test_image (line 355) | def test_image(self, sess, image, im_info):
    method get_summary (line 365) | def get_summary(self, sess, blobs):
    method train_step (line 372) | def train_step(self, sess, blobs, train_op):
    method train_step_with_summary (line 384) | def train_step_with_summary(self, sess, blobs, train_op):
    method train_step_no_return (line 397) | def train_step_no_return(self, sess, blobs, train_op):

FILE: lib/nets/resnet_v1.py
  function resnet_arg_scope (line 26) | def resnet_arg_scope(is_training=True,
  class resnetv1 (line 53) | class resnetv1(Network):
    method __init__ (line 54) | def __init__(self, batch_size=1, num_layers=50):
    method _crop_pool_layer (line 59) | def _crop_pool_layer(self, bottom, rois, name):
    method build_base (line 84) | def build_base(self):
    method build_network (line 92) | def build_network(self, sess, is_training=True):
    method get_variables_to_restore (line 241) | def get_variables_to_restore(self, variables, var_keep_dic):
    method fix_variables (line 265) | def fix_variables(self, sess, pretrained_model):

FILE: lib/nets/vgg16.py
  class vgg16 (line 19) | class vgg16(Network):
    method __init__ (line 20) | def __init__(self, batch_size=1):
    method build_network (line 23) | def build_network(self, sess, is_training=True):
    method get_variables_to_restore (line 115) | def get_variables_to_restore(self, variables, var_keep_dic):
    method fix_variables (line 133) | def fix_variables(self, sess, pretrained_model):

FILE: lib/nms/cpu_nms.c
  type Py_ssize_t (line 61) | typedef int Py_ssize_t;
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  type Py_hash_t (line 241) | typedef long Py_hash_t;
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  type __Pyx_StringTabEntry (line 369) | typedef struct {PyObject **p; char *s; const Py_ssize_t n; const char* e...
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FILE: lib/nms/gpu_nms.cpp
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FILE: lib/nms/py_cpu_nms.py
  function py_cpu_nms (line 10) | def py_cpu_nms(dets, thresh):

FILE: lib/roi_data_layer/layer.py
  class RoIDataLayer (line 21) | class RoIDataLayer(object):
    method __init__ (line 24) | def __init__(self, roidb, num_classes, random=False):
    method _shuffle_roidb_inds (line 32) | def _shuffle_roidb_inds(self):
    method _get_next_minibatch_inds (line 64) | def _get_next_minibatch_inds(self):
    method _get_next_minibatch (line 77) | def _get_next_minibatch(self):
    method forward (line 87) | def forward(self):

FILE: lib/roi_data_layer/minibatch.py
  function get_minibatch (line 19) | def get_minibatch(roidb, num_classes):
  function _get_image_blob (line 54) | def _get_image_blob(roidb, scale_inds):

FILE: lib/roi_data_layer/roidb.py
  function prepare_roidb (line 19) | def prepare_roidb(imdb):

FILE: lib/setup.py
  function find_in_path (line 15) | def find_in_path(name, path):
  function locate_cuda (line 24) | def locate_cuda():
  function customize_compiler_for_nvcc (line 63) | def customize_compiler_for_nvcc(self):
  class custom_build_ext (line 102) | class custom_build_ext(build_ext):
    method build_extensions (line 103) | def build_extensions(self):

FILE: lib/utils/blob.py
  function im_list_to_blob (line 17) | def im_list_to_blob(ims):
  function prep_im_for_blob (line 33) | def prep_im_for_blob(im, pixel_means, target_size, max_size):

FILE: lib/utils/boxes_grid.py
  function get_boxes_grid (line 16) | def get_boxes_grid(image_height, image_width):

FILE: lib/utils/nms.py
  function nms (line 10) | def nms(dets, thresh):

FILE: lib/utils/timer.py
  class Timer (line 10) | class Timer(object):
    method __init__ (line 12) | def __init__(self):
    method tic (line 19) | def tic(self):
    method toc (line 24) | def toc(self, average=True):

FILE: tools/_init_paths.py
  function add_path (line 4) | def add_path(path):

FILE: tools/demo_graspRGD.py
  function Rotate2D (line 50) | def Rotate2D(pts,cnt,ang=scipy.pi/4):
  function vis_detections (line 54) | def vis_detections(ax, image_name, im, class_name, dets, thresh=0.5):
  function demo (line 105) | def demo(sess, net, image_name):
  function parse_args (line 154) | def parse_args():

FILE: tools/demo_graspRGD_socket.py
  function Rotate2D (line 66) | def Rotate2D(pts,cnt,ang=scipy.pi/4):
  function vis_detections (line 70) | def vis_detections(ax, im, class_name, dets, thresh=0.5):
  function compute_imgRot (line 121) | def compute_imgRot(frame):
  function coordinate_img2table (line 171) | def coordinate_img2table(frame, u, v, rot):
  function demo_process (line 237) | def demo_process(sess, net):
  function parse_args (line 395) | def parse_args():

FILE: tools/demo_graspRGD_vis_mask.py
  function Rotate2D (line 50) | def Rotate2D(pts,cnt,ang=scipy.pi/4):
  function vis_detections (line 54) | def vis_detections(ax, image_name, im, class_name, dets, thresh=0.5):
  function demo (line 106) | def demo(sess, net, image_name, mask_name):
  function parse_args (line 159) | def parse_args():

FILE: tools/demo_graspRGD_vis_select.py
  function Rotate2D (line 53) | def Rotate2D(pts,cnt,ang=scipy.pi/4):
  function vis_detections (line 57) | def vis_detections(ax, image_name, im, class_name, dets, thresh=0.5):
  function demo (line 114) | def demo(sess, net, image_name):
  function parse_args (line 165) | def parse_args():

FILE: tools/trainval_net.py
  function parse_args (line 24) | def parse_args():
  function combined_roidb (line 62) | def combined_roidb(imdb_names):