SYMBOL INDEX (722 symbols across 59 files) FILE: _init_paths.py function add_path (line 8) | def add_path(path): 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 68) | def _get_ann_file(self): method _load_image_set_index (line 74) | def _load_image_set_index(self): method _get_widths (line 81) | def _get_widths(self): method image_path_at (line 86) | def image_path_at(self, i): method image_id_at (line 92) | def image_id_at(self, i): method image_path_from_index (line 98) | def image_path_from_index(self, index): method gt_roidb (line 115) | def gt_roidb(self): method _load_coco_annotation (line 135) | def _load_coco_annotation(self, index): method _get_widths (line 193) | def _get_widths(self): method append_flipped_images (line 196) | def append_flipped_images(self): method _get_box_file (line 217) | def _get_box_file(self, index): method _print_detection_eval_metrics (line 224) | def _print_detection_eval_metrics(self, coco_eval): method _do_detection_eval (line 257) | def _do_detection_eval(self, res_file, output_dir): method _coco_results_one_category (line 270) | def _coco_results_one_category(self, boxes, cat_id): method _write_coco_results_file (line 288) | def _write_coco_results_file(self, all_boxes, res_file): method evaluate_detections (line 306) | def evaluate_detections(self, all_boxes, output_dir): method competition_mode (line 322) | 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 35) | def get_imdb(name): function list_imdbs (line 42) | def list_imdbs(): FILE: lib/datasets/imdb.py class imdb (line 22) | class imdb(object): method __init__ (line 25) | def __init__(self, name, classes=None): method name (line 40) | def name(self): method num_classes (line 44) | def num_classes(self): method set_classes (line 47) | def set_classes(self,classes): method classes (line 51) | def classes(self): method image_index (line 55) | def image_index(self): method roidb_handler (line 59) | def roidb_handler(self): method roidb_handler (line 63) | def roidb_handler(self, val): method set_proposal_method (line 66) | def set_proposal_method(self, method): method roidb (line 71) | def roidb(self): method set_roidb (line 82) | def set_roidb(self,roidb): method cache_path (line 88) | def cache_path(self): method num_images (line 95) | def num_images(self): method image_path_at (line 98) | def image_path_at(self, i): method image_id_at (line 101) | def image_id_at(self, i): method default_roidb (line 104) | def default_roidb(self): method evaluate_detections (line 107) | def evaluate_detections(self, all_boxes, output_dir=None): method _get_widths (line 118) | def _get_widths(self): method append_flipped_images (line 122) | def append_flipped_images(self): method evaluate_recall (line 141) | def evaluate_recall(self, candidate_boxes=None, thresholds=None, method create_roidb_from_box_list (line 231) | def create_roidb_from_box_list(self, box_list, gt_roidb): method merge_roidbs (line 261) | def merge_roidbs(a, b): method competition_mode (line 273) | def competition_mode(self, on): FILE: lib/datasets/metadata.py class MetaDataset (line 20) | class MetaDataset(data.Dataset): method __init__ (line 32) | def __init__(self, root, image_sets, metaclass, img_size, shots=1, shu... method __getitem__ (line 71) | def __getitem__(self, index): method get_prndata (line 74) | def get_prndata(self): method __len__ (line 128) | def __len__(self): FILE: lib/datasets/pascal_voc.py class pascal_voc (line 40) | class pascal_voc(imdb): method __init__ (line 41) | def __init__(self, image_set, year, devkit_path=None): method image_path_at (line 80) | def image_path_at(self, i): method image_id_at (line 86) | def image_id_at(self, i): method image_path_from_index (line 92) | def image_path_from_index(self, index): method _load_image_set_index (line 103) | def _load_image_set_index(self): method _get_default_path (line 117) | def _get_default_path(self): method gt_roidb (line 123) | def gt_roidb(self): method selective_search_roidb (line 144) | def selective_search_roidb(self): method rpn_roidb (line 172) | def rpn_roidb(self): method _load_rpn_roidb (line 182) | def _load_rpn_roidb(self, gt_roidb): method _load_selective_search_roidb (line 191) | def _load_selective_search_roidb(self, gt_roidb): method _load_pascal_annotation (line 210) | def _load_pascal_annotation(self, index): method _get_comp_id (line 264) | def _get_comp_id(self): method _get_voc_results_file_template (line 269) | def _get_voc_results_file_template(self): method _write_voc_results_file (line 278) | def _write_voc_results_file(self, all_boxes): method _do_python_eval (line 296) | def _do_python_eval(self, output_dir='output', **kwargs): method _do_matlab_eval (line 370) | def _do_matlab_eval(self, output_dir='output'): method evaluate_detections (line 385) | def evaluate_detections(self, all_boxes, output_dir, **kwargs): method competition_mode (line 397) | def competition_mode(self, on): FILE: lib/datasets/pascal_voc_rbg.py class VOCDetection (line 31) | class VOCDetection(data.Dataset): method __init__ (line 48) | def __init__(self, root, image_sets, img_size, preproc=None, target_tr... method __getitem__ (line 65) | def __getitem__(self, index): method __len__ (line 97) | def __len__(self): class pascal_voc (line 101) | class pascal_voc(imdb): method __init__ (line 102) | def __init__(self, image_set, year, devkit_path=None): method image_path_at (line 137) | def image_path_at(self, i): method image_path_from_index (line 143) | def image_path_from_index(self, index): method _load_image_set_index (line 153) | def _load_image_set_index(self): method _get_default_path (line 168) | def _get_default_path(self): method gt_roidb (line 174) | def gt_roidb(self): method rpn_roidb (line 198) | def rpn_roidb(self): method _load_rpn_roidb (line 208) | def _load_rpn_roidb(self, gt_roidb): method _load_pascal_annotation (line 217) | def _load_pascal_annotation(self, index): method _get_comp_id (line 263) | def _get_comp_id(self): method _get_voc_results_file_template (line 268) | def _get_voc_results_file_template(self): method _write_voc_results_file (line 279) | def _write_voc_results_file(self, all_boxes): method _do_python_eval (line 297) | def _do_python_eval(self, output_dir='output'): method _do_matlab_eval (line 342) | def _do_matlab_eval(self, output_dir='output'): method evaluate_detections (line 357) | def evaluate_detections(self, all_boxes, output_dir): method competition_mode (line 370) | def competition_mode(self, on): FILE: lib/datasets/tools/compute_prior.py function cout_w (line 7) | def cout_w(prob, num=NUM_ATTR_REL,dim=1): function cp_kl (line 13) | def cp_kl(a, b): function compute_js (line 22) | def compute_js(attr_prob): FILE: lib/datasets/tools/mcg_munge.py function munge (line 16) | 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/model/faster_rcnn/faster_rcnn.py class _fasterRCNN (line 25) | class _fasterRCNN(nn.Module): method __init__ (line 28) | def __init__(self, classes, class_agnostic, meta_train, meta_test=None... method forward (line 50) | def forward(self, im_data_list, im_info_list, gt_boxes_list, num_boxes... method _init_weights (line 231) | def _init_weights(self): method create_architecture (line 249) | def create_architecture(self): FILE: lib/model/faster_rcnn/resnet.py function conv3x3 (line 33) | def conv3x3(in_planes, out_planes, stride=1): function init_conv (line 38) | def init_conv(conv,glu=True): function init_linear (line 43) | def init_linear(linear): class BasicBlock (line 47) | class BasicBlock(nn.Module): method __init__ (line 50) | def __init__(self, inplanes, planes, stride=1, downsample=None): method forward (line 60) | def forward(self, x): class Bottleneck (line 79) | class Bottleneck(nn.Module): method __init__ (line 82) | def __init__(self, inplanes, planes, stride=1, downsample=None): method forward (line 95) | def forward(self, x): class ResNet (line 118) | class ResNet(nn.Module): method __init__ (line 119) | def __init__(self, block, layers, num_classes=1000): method _make_layer (line 144) | def _make_layer(self, block, planes, blocks, stride=1): method forward (line 161) | def forward(self, x): function resnet18 (line 179) | def resnet18(pretrained=False): function resnet34 (line 190) | def resnet34(pretrained=False): function resnet50 (line 201) | def resnet50(pretrained=False): function resnet101 (line 212) | def resnet101(pretrained=False): function resnet152 (line 223) | def resnet152(pretrained=False): class resnet (line 233) | class resnet(_fasterRCNN): method __init__ (line 234) | def __init__(self, classes, num_layers=101, pretrained=False, class_ag... method _init_modules (line 245) | def _init_modules(self): method train (line 299) | def train(self, mode=True): method _head_to_tail (line 318) | def _head_to_tail(self, pool5): method prn_network (line 322) | def prn_network(self,im_data): FILE: lib/model/faster_rcnn/trail.py function cout_w (line 34) | def cout_w(prob): function cout_a (line 44) | def cout_a(prob, NUM_ATTR_REL): function parse_args (line 68) | def parse_args(): class sampler (line 159) | class sampler(Sampler): method __init__ (line 160) | def __init__(self, train_size, batch_size): method __iter__ (line 170) | def __iter__(self): method __len__ (line 180) | def __len__(self): FILE: lib/model/faster_rcnn/vgg16.py class vgg16 (line 19) | class vgg16(_fasterRCNN): method __init__ (line 20) | def __init__(self, classes, pretrained=False, class_agnostic=False): method _init_modules (line 28) | def _init_modules(self): method _head_to_tail (line 56) | def _head_to_tail(self, pool5): FILE: lib/model/nms/_ext/nms/__init__.py function _import_symbols (line 6) | def _import_symbols(locals): FILE: lib/model/nms/nms_cpu.py function nms_cpu (line 6) | def nms_cpu(dets, thresh): function nms_cpu_np (line 39) | def nms_cpu_np(dets, thresh): function soft_nms_cpu (line 70) | def soft_nms_cpu(dets, threshold=0.001, Nt=0.3, method=1): function nms_domain (line 164) | def nms_domain(dets, dets_small, thresh_small=0.85, thresh_big=0.5): FILE: lib/model/nms/nms_gpu.py function nms_gpu (line 7) | def nms_gpu(dets, thresh): FILE: lib/model/nms/nms_wrapper.py function nms (line 13) | def nms(dets, thresh, force_cpu=False): FILE: lib/model/roi_align/_ext/roi_align/__init__.py function _import_symbols (line 6) | def _import_symbols(locals): FILE: lib/model/roi_align/functions/roi_align.py class RoIAlignFunction (line 7) | class RoIAlignFunction(Function): method __init__ (line 8) | def __init__(self, aligned_height, aligned_width, spatial_scale): method forward (line 15) | def forward(self, features, rois): method backward (line 33) | def backward(self, grad_output): FILE: lib/model/roi_align/modules/roi_align.py class RoIAlign (line 6) | class RoIAlign(Module): method __init__ (line 7) | def __init__(self, aligned_height, aligned_width, spatial_scale): method forward (line 14) | def forward(self, features, rois): class RoIAlignAvg (line 18) | class RoIAlignAvg(Module): method __init__ (line 19) | def __init__(self, aligned_height, aligned_width, spatial_scale): method forward (line 26) | def forward(self, features, rois): class RoIAlignMax (line 31) | class RoIAlignMax(Module): method __init__ (line 32) | def __init__(self, aligned_height, aligned_width, spatial_scale): method forward (line 39) | def forward(self, features, rois): FILE: lib/model/roi_align/src/roi_align_cuda.c function roi_align_forward_cuda (line 7) | int roi_align_forward_cuda(int aligned_height, int aligned_width, float ... function roi_align_backward_cuda (line 42) | int roi_align_backward_cuda(int aligned_height, int aligned_width, float... FILE: lib/model/roi_crop/_ext/roi_crop/__init__.py function _import_symbols (line 6) | def _import_symbols(locals): FILE: lib/model/roi_crop/functions/crop_resize.py class RoICropFunction (line 8) | class RoICropFunction(Function): method forward (line 9) | def forward(self, input1, input2): method backward (line 27) | def backward(self, grad_output): FILE: lib/model/roi_crop/functions/gridgen.py class AffineGridGenFunction (line 7) | class AffineGridGenFunction(Function): method __init__ (line 8) | def __init__(self, height, width,lr=1): method forward (line 21) | def forward(self, input1): method backward (line 37) | def backward(self, grad_output): FILE: lib/model/roi_crop/functions/roi_crop.py class RoICropFunction (line 7) | class RoICropFunction(Function): method forward (line 8) | def forward(self, input1, input2): method backward (line 17) | def backward(self, grad_output): FILE: lib/model/roi_crop/modules/gridgen.py class _AffineGridGen (line 12) | class _AffineGridGen(Module): method __init__ (line 13) | def __init__(self, height, width, lr = 1, aux_loss = False): method forward (line 19) | def forward(self, input): class CylinderGridGen (line 34) | class CylinderGridGen(Module): method __init__ (line 35) | def __init__(self, height, width, lr = 1, aux_loss = False): method forward (line 41) | def forward(self, input): class AffineGridGenV2 (line 49) | class AffineGridGenV2(Module): method __init__ (line 50) | def __init__(self, height, width, lr = 1, aux_loss = False): method forward (line 63) | def forward(self, input1): class CylinderGridGenV2 (line 78) | class CylinderGridGenV2(Module): method __init__ (line 79) | def __init__(self, height, width, lr = 1): method forward (line 88) | def forward(self, input): class DenseAffineGridGen (line 108) | class DenseAffineGridGen(Module): method __init__ (line 109) | def __init__(self, height, width, lr = 1, aux_loss = False): method forward (line 122) | def forward(self, input1): class DenseAffine3DGridGen (line 140) | class DenseAffine3DGridGen(Module): method __init__ (line 141) | def __init__(self, height, width, lr = 1, aux_loss = False): method forward (line 168) | def forward(self, input1): class DenseAffine3DGridGen_rotate (line 198) | class DenseAffine3DGridGen_rotate(Module): method __init__ (line 199) | def __init__(self, height, width, lr = 1, aux_loss = False): method forward (line 226) | def forward(self, input1, input2): class Depth3DGridGen (line 265) | class Depth3DGridGen(Module): method __init__ (line 266) | def __init__(self, height, width, lr = 1, aux_loss = False): method forward (line 293) | def forward(self, depth, trans0, trans1, rotate): class Depth3DGridGen_with_mask (line 338) | class Depth3DGridGen_with_mask(Module): method __init__ (line 339) | def __init__(self, height, width, lr = 1, aux_loss = False, ray_tracin... method forward (line 367) | def forward(self, depth, trans0, trans1, rotate): FILE: lib/model/roi_crop/modules/roi_crop.py class _RoICrop (line 4) | class _RoICrop(Module): method __init__ (line 5) | def __init__(self, layout = 'BHWD'): method forward (line 7) | def forward(self, input1, input2): FILE: lib/model/roi_crop/src/roi_crop.c function BilinearSamplerBHWD_updateOutput (line 7) | int BilinearSamplerBHWD_updateOutput(THFloatTensor *inputImages, THFloat... function BilinearSamplerBHWD_updateGradInput (line 105) | int BilinearSamplerBHWD_updateGradInput(THFloatTensor *inputImages, THFl... function BilinearSamplerBCHW_updateOutput (line 246) | int BilinearSamplerBCHW_updateOutput(THFloatTensor *inputImages, THFloat... function BilinearSamplerBCHW_updateGradInput (line 350) | int BilinearSamplerBCHW_updateGradInput(THFloatTensor *inputImages, THFl... FILE: lib/model/roi_crop/src/roi_crop_cuda.c function BilinearSamplerBHWD_updateOutput_cuda (line 15) | int BilinearSamplerBHWD_updateOutput_cuda(THCudaTensor *inputImages, THC... function BilinearSamplerBHWD_updateGradInput_cuda (line 54) | int BilinearSamplerBHWD_updateGradInput_cuda(THCudaTensor *inputImages, ... FILE: lib/model/roi_pooling/_ext/roi_pooling/__init__.py function _import_symbols (line 6) | def _import_symbols(locals): FILE: lib/model/roi_pooling/functions/roi_pool.py class RoIPoolFunction (line 6) | class RoIPoolFunction(Function): method __init__ (line 7) | def __init__(ctx, pooled_height, pooled_width, spatial_scale): method forward (line 13) | def forward(ctx, features, rois): method backward (line 30) | def backward(ctx, grad_output): FILE: lib/model/roi_pooling/modules/roi_pool.py class _RoIPooling (line 5) | class _RoIPooling(Module): method __init__ (line 6) | def __init__(self, pooled_height, pooled_width, spatial_scale): method forward (line 13) | def forward(self, features, rois): FILE: lib/model/roi_pooling/src/roi_pooling.c function roi_pooling_forward (line 4) | int roi_pooling_forward(int pooled_height, int pooled_width, float spati... FILE: lib/model/roi_pooling/src/roi_pooling_cuda.c function roi_pooling_forward_cuda (line 7) | int roi_pooling_forward_cuda(int pooled_height, int pooled_width, float ... function roi_pooling_backward_cuda (line 49) | int roi_pooling_backward_cuda(int pooled_height, int pooled_width, float... FILE: lib/model/rpn/anchor_target_layer.py class _AnchorTargetLayer (line 31) | class _AnchorTargetLayer(nn.Module): method __init__ (line 36) | def __init__(self, feat_stride, scales, ratios): method forward (line 48) | def forward(self, input): method backward (line 194) | def backward(self, top, propagate_down, bottom): method reshape (line 198) | def reshape(self, bottom, top): function _unmap (line 202) | def _unmap(data, count, inds, batch_size, fill=0): function _compute_targets_batch (line 215) | def _compute_targets_batch(ex_rois, gt_rois): FILE: lib/model/rpn/bbox_transform.py function bbox_transform (line 15) | def bbox_transform(ex_rois, gt_rois): function bbox_transform_batch (line 36) | def bbox_transform_batch(ex_rois, gt_rois): function bbox_transform_inv (line 77) | def bbox_transform_inv(boxes, deltas, batch_size): function clip_boxes_batch (line 105) | def clip_boxes_batch(boxes, im_shape, batch_size): function clip_boxes (line 125) | def clip_boxes(boxes, im_shape, batch_size): function bbox_overlaps (line 136) | def bbox_overlaps(anchors, gt_boxes): function bbox_overlaps_batch (line 168) | def bbox_overlaps_batch(anchors, gt_boxes): FILE: lib/model/rpn/generate_anchors.py function generate_anchors (line 45) | def generate_anchors(base_size=16, ratios=[0.5, 1, 2], function _whctrs (line 58) | def _whctrs(anchor): function _mkanchors (line 69) | def _mkanchors(ws, hs, x_ctr, y_ctr): function _ratio_enum (line 83) | def _ratio_enum(anchor, ratios): function _scale_enum (line 96) | def _scale_enum(anchor, scales): FILE: lib/model/rpn/proposal_layer.py class _ProposalLayer (line 26) | class _ProposalLayer(nn.Module): method __init__ (line 32) | def __init__(self, feat_stride, scales, ratios): method forward (line 49) | def forward(self, input): method backward (line 163) | def backward(self, top, propagate_down, bottom): method reshape (line 167) | def reshape(self, bottom, top): method _filter_boxes (line 171) | def _filter_boxes(self, boxes, min_size): FILE: lib/model/rpn/proposal_layer_region.py class _ProposalLayer (line 26) | class _ProposalLayer(nn.Module): method __init__ (line 32) | def __init__(self, feat_stride, scales, ratios): method forward (line 49) | def forward(self, input): method backward (line 166) | def backward(self, top, propagate_down, bottom): method reshape (line 170) | def reshape(self, bottom, top): method _filter_boxes (line 174) | def _filter_boxes(self, boxes, min_size): FILE: lib/model/rpn/proposal_target_layer_cascade.py class _ProposalTargetLayer (line 20) | class _ProposalTargetLayer(nn.Module): method __init__ (line 26) | def __init__(self, nclasses): method forward (line 33) | def forward(self, all_rois, gt_boxes, num_boxes): method backward (line 52) | def backward(self, top, propagate_down, bottom): method reshape (line 56) | def reshape(self, bottom, top): method _get_bbox_regression_labels_pytorch (line 60) | def _get_bbox_regression_labels_pytorch(self, bbox_target_data, labels... method _compute_targets_pytorch (line 90) | def _compute_targets_pytorch(self, ex_rois, gt_rois): method _sample_rois_pytorch (line 110) | def _sample_rois_pytorch(self, all_rois, gt_boxes, fg_rois_per_image, ... FILE: lib/model/rpn/proposal_target_layer_cascade_region.py class _ProposalTargetLayer (line 20) | class _ProposalTargetLayer(nn.Module): method __init__ (line 26) | def __init__(self, nclasses): method forward (line 33) | def forward(self, all_rois, gt_boxes, num_boxes,output_cls_score): method backward (line 60) | def backward(self, top, propagate_down, bottom): method reshape (line 64) | def reshape(self, bottom, top): method _get_bbox_regression_labels_pytorch (line 68) | def _get_bbox_regression_labels_pytorch(self, bbox_target_data, labels... method _compute_targets_pytorch (line 98) | def _compute_targets_pytorch(self, ex_rois, gt_rois): method _sample_rois_pytorch (line 118) | def _sample_rois_pytorch(self, all_rois, gt_boxes, fg_rois_per_image, ... FILE: lib/model/rpn/rpn.py class _RPN (line 17) | class _RPN(nn.Module): method __init__ (line 19) | def __init__(self, din): method reshape (line 48) | def reshape(x, d): method forward (line 58) | def forward(self, base_feat, im_info, gt_boxes, num_boxes): class _RPN_out_pred_label (line 113) | class _RPN_out_pred_label(nn.Module): method __init__ (line 115) | def __init__(self, din): method reshape (line 144) | def reshape(x, d): method forward (line 154) | def forward(self, base_feat, im_info, gt_boxes, num_boxes): FILE: lib/model/rpn/rpn_region.py class _RPN (line 17) | class _RPN(nn.Module): method __init__ (line 19) | def __init__(self, din): method reshape (line 48) | def reshape(x, d): method forward (line 58) | def forward(self, base_feat, im_info, gt_boxes, num_boxes): FILE: lib/model/utils/blob.py function im_list_to_blob (line 20) | def im_list_to_blob(ims): function prep_im_for_blob (line 35) | def prep_im_for_blob(im, pixel_means, target_size, max_size): FILE: lib/model/utils/config.py function get_output_dir (line 337) | def get_output_dir(imdb, weights_filename): function get_output_tb_dir (line 353) | def get_output_tb_dir(imdb, weights_filename): function _merge_a_into_b (line 369) | def _merge_a_into_b(a, b): function cfg_from_file (line 402) | def cfg_from_file(filename): function cfg_from_list (line 411) | def cfg_from_list(cfg_list): FILE: lib/model/utils/net_utils.py function save_net (line 13) | def save_net(fname, net): function load_net (line 19) | def load_net(fname, net): function weights_normal_init (line 26) | def weights_normal_init(model, dev=0.01): function clip_gradient (line 38) | def clip_gradient(model, clip_norm): function vis_detections (line 52) | def vis_detections(im, class_name, dets, thresh=0.8): function vis_detections_label_only (line 69) | def vis_detections_label_only(im, class_name, dets, thresh=0.8): function adjust_learning_rate (line 88) | def adjust_learning_rate(optimizer, decay=0.1): function 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| static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObjec... function CYTHON_INLINE (line 16050) | static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { function CYTHON_INLINE (line 16055) | static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { function PyObject (line 16062) | static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* resul... function CYTHON_INLINE (line 16131) | static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { function CYTHON_INLINE (line 16193) | static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { function CYTHON_INLINE (line 16196) | static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { FILE: lib/pycocotools/coco.py class COCO (line 70) | class COCO: method __init__ (line 71) | def __init__(self, annotation_file=None): method createIndex (line 93) | def createIndex(self): method info (line 131) | def info(self): method getAnnIds (line 139) | def getAnnIds(self, imgIds=[], catIds=[], areaRng=[], iscrowd=None): method getCatIds (line 169) | def getCatIds(self, catNms=[], supNms=[], catIds=[]): method getImgIds (line 191) | def getImgIds(self, imgIds=[], catIds=[]): method loadAnns (line 212) | def loadAnns(self, ids=[]): method loadCats (line 223) | def loadCats(self, ids=[]): method loadImgs (line 234) | def loadImgs(self, ids=[]): method showAnns (line 245) | def showAnns(self, anns): method loadRes (line 291) | def loadRes(self, resFile): method download (line 339) | def download(self, tarDir=None, imgIds=[]): FILE: lib/pycocotools/cocoeval.py class COCOeval (line 8) | class COCOeval: method __init__ (line 58) | def __init__(self, cocoGt=None, cocoDt=None, iouType='segm'): method _prepare (line 83) | def _prepare(self): method evaluate (line 120) | def evaluate(self): method computeIoU (line 162) | def computeIoU(self, imgId, catId): method computeOks (line 191) | def computeOks(self, imgId, catId): method evaluateImg (line 234) | def evaluateImg(self, imgId, catId, aRng, maxDet): method accumulate (line 314) | def accumulate(self, p = None): method summarize (line 415) | def summarize(self): method __str__ (line 488) | def __str__(self): class Params (line 491) | class Params: method setDetParams (line 495) | def setDetParams(self): method setKpParams (line 506) | def setKpParams(self): method __init__ (line 517) | def __init__(self, iouType='segm'): FILE: lib/pycocotools/maskApi.c function uint (line 11) | uint umin( uint a, uint b ) { return (ab) ? a : b; } function rleInit (line 14) | void rleInit( RLE *R, siz h, siz w, siz m, uint *cnts ) { function rleFree (line 19) | void rleFree( RLE *R ) { function rlesInit (line 23) | void rlesInit( RLE **R, siz n ) { function rlesFree (line 28) | void rlesFree( RLE **R, siz n ) { function rleEncode (line 32) | void rleEncode( RLE *R, const byte *M, siz h, siz w, siz n ) { function rleDecode (line 43) | void rleDecode( const RLE *R, byte *M, siz n ) { function rleMerge 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struct { siz h, w, m; uint *cnts; } RLE; FILE: lib/roi_data_layer/minibatch.py function get_minibatch (line 19) | def get_minibatch(roidb, num_classes, random_scale_inds): function _get_image_blob (line 56) | def _get_image_blob(roidb, scale_inds): FILE: lib/roi_data_layer/roibatchLoader.py class roibatchLoader (line 23) | class roibatchLoader(data.Dataset): method __init__ (line 24) | def __init__(self, roidb, ratio_list, ratio_index, batch_size, num_cla... method __getitem__ (line 58) | def __getitem__(self, index): method __len__ (line 217) | def __len__(self): FILE: lib/roi_data_layer/roidb.py function prepare_roidb (line 14) | def prepare_roidb(imdb): function update_keyvalue (line 49) | def update_keyvalue(rdb, idx): function filter_class_roidb (line 61) | def filter_class_roidb(roidb, shot, imdb): function rank_roidb_ratio (line 133) | def rank_roidb_ratio(roidb): function filter_roidb (line 159) | def filter_roidb(roidb): function combined_roidb (line 172) | def combined_roidb(imdb_names, training=True): FILE: lib/setup.py function find_in_path (line 17) | def find_in_path(name, path): function customize_compiler_for_nvcc (line 69) | def customize_compiler_for_nvcc(self): class custom_build_ext (line 109) | class custom_build_ext(build_ext): method build_extensions (line 110) | def build_extensions(self): FILE: test_metarcnn.py function parse_args (line 45) | def parse_args(): FILE: train_metarcnn.py function parse_args (line 34) | def parse_args(): class sampler (line 127) | class sampler(Sampler): method __init__ (line 128) | def __init__(self, train_size, batch_size): method __iter__ (line 138) | def __iter__(self): method __len__ (line 148) | def __len__(self):