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Functions455 in github.com/NVlabs/few-shot-vid2vid

⨍ Functions 455◇ Types & classes 95
↓ 1 callersMethodinitialize
(self, parser)
options/base_options.py:21
↓ 1 callersFunctionlabelcolormap
(N)
util/util.py:179
↓ 1 callersFunctionlcm
(a,b)
models/trainer.py:14
↓ 1 callersFunctionlinear
(x, a, b)
data/keypoint2img.py:263
↓ 1 callersMethodload_networks
(self)
models/base_model.py:229
↓ 1 callersMethodlog2file
(self, fid, string)
models/networks/flownet2_pytorch/utils/tools.py:50
↓ 1 callersFunctionmake_dataset_rec
(dir, images)
data/image_folder.py:21
↓ 1 callersFunctionmodule_to_dict
(module, exclude=[])
models/networks/flownet2_pytorch/utils/tools.py:18
↓ 1 callersMethodname
(self)
data/base_dataset.py:19
↓ 1 callersMethodname
(self)
data/custom_dataset_data_loader.py:13
↓ 1 callersMethodname
(self)
models/flownet.py:16
↓ 1 callersFunctionnormalize_faces
(all_keypoints, keypoints_ref, face_ratio)
data/keypoint2img.py:128
↓ 1 callersMethodnormalize_faces
(self, all_keypoints, is_ref=False)
data/fewshot_face_dataset.py:218
↓ 1 callersFunctionnormalize_keypoints
(keypoints_all, keypoints_ref, face_ratio)
data/keypoint2img.py:123
↓ 1 callersFunctionparse_args
()
data/preprocess/preprocess.py:21
↓ 1 callersFunctionparse_flownetfusion
(modules, weights, biases, param_prefix='fuse_')
models/networks/flownet2_pytorch/utils/param_utils.py:214
↓ 1 callersFunctionparse_flownetsonly
(modules, weights, biases, param_prefix='')
models/networks/flownet2_pytorch/utils/param_utils.py:104
↓ 1 callersMethodplot_current_errors
(self, errors, step)
util/visualizer.py:167
↓ 1 callersMethodprint_current_errors
(self, epoch, i, errors, t)
util/visualizer.py:174
↓ 1 callersFunctionrandom_roll
(tensors)
util/util.py:157
↓ 1 callersFunctionread_keypoints
(opt, json_input, size, basic_point_only=False, remove_face_labels=False, ppl_idx=None, ref
data/keypoint2img.py:17
↓ 1 callersMethodread_keypoints
(self, L_path, crop_coords)
data/fewshot_face_dataset.py:173
↓ 1 callersMethodreference_encoding
(self, img_ref, label_ref, label, n, t=0)
models/networks/generator.py:341
↓ 1 callersMethodregister_slave
Register an slave device. Args: identifier: an identifier, usually is the device id. Returns: a `SlavePipe` obj
models/networks/sync_batchnorm/comm.py:78
↓ 1 callersFunctionremove_dummy_from_tensor
(opt, tensors, remove_size=0)
models/input_process.py:115
↓ 1 callersFunctionremove_folder
(args, video_idx)
data/preprocess/util/util.py:51
↓ 1 callersMethodremove_other_ppl
(self, A_img, A_path, crop_coords, op)
data/fewshot_pose_dataset.py:246
↓ 1 callersFunctionremove_unusable_frames
(args, video_idx)
data/preprocess/preprocess.py:62
↓ 1 callersFunctionrename_videos
(video_root)
data/preprocess/preprocess.py:54
↓ 1 callersMethodreparameterize
(self, mu, logvar)
models/networks/base_network.py:126
↓ 1 callersMethodreplace_face_region
(self, fake_image, fake_face, input_label, fake_face_coarse=None, crop_smaller=0)
models/face_refiner.py:42
↓ 1 callersMethodreplicate
(self, module, device_ids)
models/networks/sync_batchnorm/replicate.py:25
↓ 1 callersFunctionroll
(t, ny, nx, flip)
util/util.py:164
↓ 1 callersFunctionrun_densepose
(args, video_idx)
data/preprocess/util/get_poses.py:55
↓ 1 callersFunctionrun_densepose_cmd
(args, video_idx)
data/preprocess/util/get_poses.py:146
↓ 1 callersMethodrun_master
Main entry for the master device in each forward pass. The messages were first collected from each devices (including the master devi
models/networks/sync_batchnorm/comm.py:96
↓ 1 callersFunctionrun_openpose
(args, video_path)
data/preprocess/util/get_poses.py:21
↓ 1 callersMethodrun_slave
(self, msg)
models/networks/sync_batchnorm/comm.py:49
↓ 1 callersFunctionsave_all_tensors
(opt, output_list, model)
models/trainer.py:96
↓ 1 callersMethodsave_images
(self, webpage, visuals, image_path)
util/visualizer.py:185
↓ 1 callersMethodsave_options
(self, opt)
options/base_options.py:176
↓ 1 callersFunctionsave_response_content
(response, destination)
scripts/download_gdrive.py:24
↓ 1 callersMethodsingleD_forward
(self, model, input, ref)
models/networks/discriminator.py:40
↓ 1 callersMethodsplit_weights
(self, weight, sizes)
models/networks/base_network.py:142
↓ 1 callersMethodstart_of_epoch
(self, epoch, model, data_loader)
models/trainer.py:78
↓ 1 callersMethodstart_of_iter
(self, data)
models/trainer.py:42
↓ 1 callersMethodsum_mul
(self, x)
models/networks/base_network.py:136
↓ 1 callersFunctiontensor2label
(label_tensor, n_label, imtype=np.uint8, tile=False)
util/util.py:73
↓ 1 callersFunctiontrack_persons
(keypoint_dicts_prev, keypoint_dicts_now, ppl_indices_prev)
data/preprocess/util/track.py:27
↓ 1 callersFunctiontrain
()
train.py:19
↓ 1 callersFunctionuint82bin
returns the binary of integer n, count refers to amount of bits
util/util.py:175
↓ 1 callersFunctionunzip_file
(file_name, unzip_path)
scripts/download_gdrive.py:31
↓ 1 callersMethodupdate_learning_rate
(self, epoch)
models/base_model.py:245
↓ 1 callersFunctionupdate_models
(opt, epoch, model, data_loader)
models/models.py:64
↓ 1 callersMethodupdate_training_batch
(self, ratio)
data/base_dataset.py:22
Method__call__
(self, input, target_is_real, weight=None, reduce_dim=True, for_discriminator=True)
models/networks/loss.py:92
Method__call__
(self, img)
models/networks/flownet2_pytorch/datasets.py:20
Method__call__
(self, img)
models/networks/flownet2_pytorch/datasets.py:27
Method__call__
(self, gray_image)
util/util.py:213
Method__enter__
(self)
models/networks/flownet2_pytorch/utils/tools.py:28
Method__exit__
(self, exc_type, exc_value, traceback)
models/networks/flownet2_pytorch/utils/tools.py:32
Method__getitem__
(self, index)
data/lmdb_dataset.py:46
Method__getitem__
(self, index)
data/fewshot_face_dataset.py:64
Method__getitem__
(self, index)
data/fewshot_street_dataset.py:53
Method__getitem__
(self, index)
data/image_folder.py:108
Method__getitem__
(self, index)
data/fewshot_pose_dataset.py:78
Method__getitem__
(self, index)
models/networks/flownet2_pytorch/datasets.py:76
Method__getitem__
(self, index)
models/networks/flownet2_pytorch/datasets.py:146
Method__getitem__
(self, index)
models/networks/flownet2_pytorch/datasets.py:213
Method__getitem__
(self, index)
models/networks/flownet2_pytorch/datasets.py:282
Method__getitem__
(self, index)
models/networks/flownet2_pytorch/datasets.py:345
Method__init__
(self, root, write_cache=False)
data/lmdb_dataset.py:17
Method__init__
(self)
data/base_data_loader.py:8
Method__init__
(self)
data/base_dataset.py:13
Method__init__
(self, root, transform=None, return_paths=False, loader=default_loader)
data/image_folder.py:94
Method__init__
(self)
options/base_options.py:18
Method__init__
(self, opt, model)
models/models.py:80
Method__init__
(self, opt, data_loader)
models/trainer.py:23
Method__init__
(self, opt, gpu_ids)
models/networks/loss.py:108
Method__init__
(self)
models/networks/loss.py:131
Method__init__
(self)
models/networks/base_network.py:74
Method__init__
(self, opt, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, subarch='n_layers', num
models/networks/discriminator.py:17
Method__init__
(self, opt, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, getIntermFeat=False, adaptive_layers=1)
models/networks/discriminator.py:105
Method__init__
(self, conv, norm, actvn)
models/networks/discriminator.py:172
Method__init__
(self, *args, **kwargs)
models/networks/architecture.py:21
Method__init__
(self, *args, output_padding=1, **kwargs)
models/networks/architecture.py:26
Method__init__
(self, *args, **kwargs)
models/networks/architecture.py:32
Method__init__
(self, fin, fout, norm='batch', hidden_nc=0, kernel_size=3, padding=1, stride=1)
models/networks/architecture.py:58
Method__init__
(self, fin, fout, norm='batch', hidden_nc=0, conv_ks=3, spade_ks=1, stride=1, conv_params_free=False, norm_par
models/networks/architecture.py:72
Method__init__
(self, feature_idx)
models/networks/vgg.py:46
Method__init__
(self, norm_nc, hidden_nc=0, norm='batch', ks=3, params_free=False)
models/networks/normalization.py:19
Method__init__
(self, opt)
models/networks/generator.py:21
Method__init__
(self, opt, input_nc, netS=None, params_free_layers=0, first_layer_free=False)
models/networks/generator.py:507
Method__init__
(self, args, batchNorm=False, div_flow=20)
models/networks/flownet2_pytorch/models.py:185
Method__init__
(self, args, batchNorm=False, div_flow=20)
models/networks/flownet2_pytorch/models.py:253
Method__init__
(self, args, batchNorm=False, div_flow=20)
models/networks/flownet2_pytorch/models.py:299
Method__init__
(self, args, batchNorm=False, div_flow = 20.)
models/networks/flownet2_pytorch/models.py:352
Method__init__
(self, args, batchNorm=False, div_flow = 20.)
models/networks/flownet2_pytorch/models.py:417
Method__init__
(self)
models/networks/flownet2_pytorch/losses.py:22
Method__init__
(self, args)
models/networks/flownet2_pytorch/losses.py:29
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