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Functions1,092 in github.com/D-X-Y/landmark-detection

⨍ Functions 1,092◇ Types & classes 144
↓ 4 callersFunctioncalculate_mean
(list_file, num_pts, save_path)
SAN/gen_mean_face.py:39
↓ 4 callersFunctioncompute_stage_loss
(criterion, targets, outputs, masks)
SRT/lib/procedure/losses.py:12
↓ 4 callersFunctiondefine_G
(gpu_ids=[])
SAN/lib/models/itn.py:16
↓ 4 callersFunctiondenormalize_points_batch
(shape, points)
SRT/lib/xvision/affine_utils.py:102
↓ 4 callersFunctionget_matrix_by_index
(tensor, _x, _y)
SRT/lib/sbr/interpolate.py:64
↓ 4 callersFunctionget_model_infos
(model, shape, cache_inputs)
SAN/lib/utils/flop_benchmark.py:17
↓ 4 callersMethodis_none
(self)
SBR/lib/datasets/point_meta.py:147
↓ 4 callersFunctionload_txt_file
load data or string from text file.
SRT/lib/utils/file_utils.py:34
↓ 4 callersFunctionload_video_dir
(root, dirs, save_dir, save_name, subsave)
SRT/cache_data/GEN_300VW.py:84
↓ 4 callersFunctionload_video_dir
(root, dirs, save_dir, save_name)
SBR/cache_data/generate_300VW.py:27
↓ 4 callersFunctionload_weight_from_dict
(model, weight_state_dict, param_pair=None, remove_prefix=True)
SAN/lib/models/model_utils.py:41
↓ 4 callersFunctionnormalize
(x, L)
TS3/models/basic_batch.py:18
↓ 4 callersFunctionnormalize
(x, L)
SRT/lib/models/basic_batch.py:25
↓ 4 callersFunctionnormalize
(x, L)
SRT/lib/lk/basic_utils.py:72
↓ 4 callersFunctionnormalize
(L, x)
SAN/gen_mean_face.py:12
↓ 4 callersFunctionnormalize
(x, L)
SBR/lib/models/basic_batch.py:23
↓ 4 callersFunctionnormalize
(x, L)
SBR/lib/lk/basic_utils.py:73
↓ 4 callersFunctionnormalize_length
(x, width)
SAN/lib/utils/stn_utils.py:8
↓ 4 callersFunctionobtain_model
(configure, points)
SBR/lib/models/basic.py:10
↓ 4 callersFunctionobtain_pro_temporal
(configure, sbr_config, points, sigma, use_gray)
SRT/lib/models/basic.py:42
↓ 4 callersFunctionpil_loader
(path)
SBR/lib/datasets/dataset_utils.py:14
↓ 4 callersFunctionprint_network
(net, net_str, log)
SAN/lib/models/model_utils.py:102
↓ 4 callersFunctionreturn_box
(image_path, pts_path, all_dict, USE_BOX)
SBR/cache_data/generate_300W.py:40
↓ 4 callersMethodsave
(self, filename)
SBR/lib/xvision/evaluation_util.py:45
↓ 4 callersFunctionsave_checkpoint
(state, filename, logger)
SBR/lib/procedure/saver.py:9
↓ 4 callersFunctionsave_network
(save_dir, save_name, network, gpu_ids)
SAN/lib/models/cycle_util.py:21
↓ 4 callersFunctionsave_to_list_file
(allfaces, lst_file, image_style_dir, annotation_dir, face_indexes, use_front, use_box)
SAN/cache_data/aflw_from_mat.py:66
↓ 4 callersFunctionsave_to_list_file
(allfaces, lst_file, image_style_dir, annotation_dir, face_indexes, use_front, use_box)
SBR/cache_data/aflw_from_mat.py:72
↓ 4 callersFunctionshow_stage_loss
(each_stage_loss)
SRT/lib/procedure/losses.py:22
↓ 4 callersMethodspecify_parameter
(self, base_lr, base_weight_decay)
SRT/lib/models/ProCPM.py:109
↓ 3 callersFunctionGetKRT
(K, R, t, dtype=torch.FloatTensor)
SRT/lib/multiview/triangulate.py:14
↓ 3 callersMethod__init__
(self, inplanes, planes, stride, downsample)
SRT/lib/models/ProHRNet.py:27
↓ 3 callersMethod__init__
(self, numIn, numOut)
SRT/lib/models/ProHG.py:17
↓ 3 callersMethod__init__
(self, with_r=False)
SRT/lib/models/modules.py:16
↓ 3 callersFunction_convert68to49
(points)
SRT/lib/datasets/point_meta_v1.py:14
↓ 3 callersFunction_convert68to51
(points)
SRT/lib/datasets/point_meta_v1.py:24
↓ 3 callersMethod_make_stage
(self, prefix, num_inchannels, multi_scale_output=True)
SRT/lib/models/ProHRNet.py:293
↓ 3 callersMethod_make_transition_layer
(self, num_channels_pre_layer, num_channels_cur_layer)
SRT/lib/models/ProHRNet.py:251
↓ 3 callersFunctionadd_shared_args
( parser )
SRT/lib/config_utils/share_args.py:9
↓ 3 callersFunctionanno_parser
(anno_path, num_pts)
SBR/lib/datasets/dataset_utils.py:33
↓ 3 callersMethodapply_offset
(self, ax=None, ay=None)
SRT/lib/datasets/point_meta_v1.py:97
↓ 3 callersMethodapply_offset
(self, ax=None, ay=None)
SAN/lib/datasets/point_meta.py:75
↓ 3 callersMethodapply_offset
(self, ax=None, ay=None)
SBR/lib/datasets/point_meta.py:77
↓ 3 callersFunctioncheck_is_image
(frames)
SRT/lib/datasets/VideoDatasetV2.py:25
↓ 3 callersFunctioncheck_is_image
(frames)
SRT/lib/datasets/STMDataset.py:29
↓ 3 callersFunctionclear_data
(xxdatas, is_pts=False, is_vid=False)
SRT/cache_data/GEN_Human3.6M.py:262
↓ 3 callersFunctioncompute_stage_loss
(criterion, targets, outputs, masks)
SBR/lib/procedure/losses.py:11
↓ 3 callersFunctionconv_bn
(inp, oup, kernels, stride, pad)
SRT/lib/models/ProREG.py:13
↓ 3 callersFunctionconvert_size2str
(torch_size)
SAN/lib/utils/time_utils.py:74
↓ 3 callersFunctioncount_parameters_in_MB
(model)
SRT/lib/models/model_utils.py:41
↓ 3 callersFunctioncrop2affine
(crop_box, W, H)
SRT/lib/xvision/affine_utils.py:28
↓ 3 callersFunctionfind_peaks_v1
(heatmap)
SAN/lib/utils/pts_utils.py:31
↓ 3 callersFunctiongenerate_color_from_heatmaps
(maps, num_of_color=100, index=None)
SRT/lib/xvision/visualization_v2.py:108
↓ 3 callersMethodget_base_filename
(self, subject, action, subaction, camera)
SRT/cache_data/GEN_Human3.6M.py:62
↓ 3 callersFunctionget_error
(pointsA, pointsB, indexes, threshold)
SRT/exps/analysis-300VW.py:273
↓ 3 callersMethodget_normalization_distance
(self, index, init=False)
SRT/lib/datasets/RobustDataset.py:66
↓ 3 callersMethodget_seq
(self, ichannel, ochannel, n)
SRT/lib/models/ProMSPN.py:69
↓ 3 callersFunctionget_views
()
SRT/cache_data/cache/resize_mv.py:15
↓ 3 callersMethodis_none
(self)
SAN/lib/datasets/point_meta.py:145
↓ 3 callersFunctionlk_tensor_track_batch
(feature_old, feature_new, pts_locations, patch_size, max_step, feature_template=None)
SRT/lib/lk/basic_lk_batch.py:17
↓ 3 callersFunctionlk_tensor_track_batch
(feature_old, feature_new, pts_locations, patch_size, max_step, feature_template=None)
SBR/lib/lk/basic_lk_batch.py:33
↓ 3 callersFunctionload_list_from_folders
load a list of files or folders from a list of system path
SAN/lib/utils/file_utils.py:79
↓ 3 callersFunctionload_txt_file
load data or string from text file.
SAN/lib/utils/file_utils.py:32
↓ 3 callersFunctionload_txt_file
load data or string from text file.
SBR/lib/utils/file_utils.py:38
↓ 3 callersFunctionmat2im
(mat, cmap, limits)
SRT/lib/xvision/visualization_v2.py:68
↓ 3 callersFunctionmat2im
% PURPOSE % Uses vectorized code to convert matrix "mat" to an m-by-n-by-3 % image matrix which can be handled by the Mathworks image-processing % fu
SAN/lib/visualization/visualize.py:119
↓ 3 callersMethodpath
(self, mode)
SBR/lib/log_utils/logger.py:34
↓ 3 callersFunctionpil_loader
(path, use_gray=False)
SRT/lib/xvision/visualization_v3.py:16
↓ 3 callersFunctionremove_module_dict
(state_dict, is_print=False)
SBR/lib/models/model_utils.py:28
↓ 3 callersMethodreset
(self, num_pts=-1, boxid='default', only_pts=False)
SRT/lib/datasets/STMDataset.py:68
↓ 3 callersMethodreset
(self, num_pts=-1)
SAN/lib/datasets/GeneralDataset.py:54
↓ 3 callersFunctionreturn_box
(image_path, pts_path, all_dict, USE_BOX)
SRT/cache_data/GEN_300W.py:55
↓ 3 callersFunctionsave_four_ways
(name, XDatas, ALL_cameras, base_path)
SRT/cache_data/GEN_Panoptic_XX.py:345
↓ 3 callersFunctionshow_stage_loss
(each_stage_loss)
SBR/lib/procedure/losses.py:27
↓ 3 callersFunctiontime_for_file
()
SAN/lib/utils/time_utils.py:9
↓ 3 callersFunctiontrain
(train_loader, net, criterion, optimizer, epoch, opt, log)
SAN/lib/procedure/train_detector.py:83
↓ 2 callersFunctionComputeGradient
(feature, tag)
SRT/lib/lk/basic_utils.py:47
↓ 2 callersFunctionComputeGradient
(feature, tag)
SBR/lib/lk/basic_utils.py:48
↓ 2 callersFunctionGenerate_Weight
(patch_size, sigma=None)
SRT/lib/lk/basic_utils.py:59
↓ 2 callersFunctionGenerate_Weight
(patch_size, sigma=None)
SBR/lib/lk/basic_utils.py:60
↓ 2 callersFunctionProjectKRT_Batch
(KRT, PTS3D)
SRT/lib/multiview/triangulate.py:55
↓ 2 callersFunctionTriangulateDLT_BatchCam
(KRTs, points)
SRT/lib/multiview/triangulate.py:86
↓ 2 callersMethod__init__
(self, config, points, sigma, input_dim)
SRT/lib/models/ProMSPN.py:101
↓ 2 callersMethod__init__
(self, block, layers, num_classes=1000)
SAN/lib/models/resnet.py:98
↓ 2 callersMethod__obtain
(self, file_paths)
SAN/lib/datasets/CycleDataset.py:46
↓ 2 callersMethod__process_affine
(self, frames, target, theta, nopoints, skip_opt, aux_info=None)
SRT/lib/datasets/VideoDatasetV2.py:215
↓ 2 callersMethod__process_affine
(self, image, target, theta, nopoints, aux_info=None)
SRT/lib/datasets/GeneralDatasetV2.py:165
↓ 2 callersFunction_is_tensor_image
(img)
SRT/lib/xvision/functional.py:27
↓ 2 callersMethod_process_
(self, frames, target, view_info, index, skipopt)
SRT/lib/datasets/STMDataset.py:242
↓ 2 callersMethod_process_
(self, image, xtarget, index)
SAN/lib/datasets/GeneralDataset.py:148
↓ 2 callersMethod_process_
(self, image, target, index)
SBR/lib/datasets/GeneralDataset.py:123
↓ 2 callersFunction_save_heatmap
(oriimage, heatmap, save_dir, name, ext, front)
SRT/lib/procedure/debug_utils.py:22
↓ 2 callersFunctionaccuracy
Computes the precision@k for the specified values of k
SAN/cluster.py:215
↓ 2 callersFunctionanno_parser
(anno_path, num_pts)
SAN/lib/datasets/dataset_utils.py:28
↓ 2 callersMethodapply_horizontal_flip
(self, width)
SRT/lib/datasets/point_meta_v1.py:129
↓ 2 callersMethodapply_scale
(self, scale)
SRT/lib/datasets/point_meta_v1.py:79
↓ 2 callersMethodapply_scale
(self, scale)
SAN/lib/datasets/point_meta.py:57
↓ 2 callersMethodapply_scale
(self, scale)
SBR/lib/datasets/point_meta.py:59
↓ 2 callersMethodbackward_D_basic
(self, netD, real, fake)
SAN/lib/models/itn.py:134
↓ 2 callersFunctionbboxcheck_TLBR
check the input bounding box to be TLBR format parameter: bbox: N x 4 numpy array, TLBR format return: True or Fa
SAN/lib/utils/box_utils.py:8
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