Functions — github.com/MaureenZOU/TSAM

CodeHub MCPcopy Create free account

hub / github.com/MaureenZOU/TSAM / functions

Functions693 in github.com/MaureenZOU/TSAM

⨍ Functions 693◇ Types & classes 158

src/model/loss.py:118

src/model/loss.py:157

(self, reduction='sum')

src/model/loss.py:168

src/model/loss.py:179

src/model/loss.py:199

(self, flownet_checkpoint_path=None, alpha=50)

src/model/loss.py:212

(self, flownet_checkpoint_path, alpha=50)

src/model/loss.py:272

r""" type = nsgan | lsgan | hinge | l1

src/model/loss.py:319

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia

src/model/blocks.py:14

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia

src/model/blocks.py:58

src/model/blocks.py:105

(self, in_channels, out_channels, kernel_size, stride, padding, dilation, groups, bias, u

src/model/blocks.py:127

(self, out_channels)

src/model/blocks.py:151

(self, out_channels, track_running_stats=True)

src/model/blocks.py:156

(self, in_channels, out_channels, kernel_size, stride, padding, dilation, groups, bias, u

src/model/blocks.py:164

( self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia

src/model/blocks.py:216

( self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia

src/model/blocks.py:261

( self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia

src/model/blocks.py:315

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia

src/model/blocks.py:331

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia

src/model/blocks.py:392

(self, nc_in, nf, use_bias, norm, conv_by, conv_type)

src/model/modules.py:41

(self, nc_in, nf, use_bias, norm, conv_by, conv_type)

src/model/modules.py:104

(self, nc_in, nc_out, nf, use_bias, norm, conv_by, conv_type, use_skip_connection=False)

src/model/modules.py:109

(self, nc_in, nc_out, nf, use_bias, norm, conv_by, conv_type, use_skip_connection=False)

src/model/modules.py:160

(self, nc_in, nc_out, nf, use_bias, norm, conv_by, conv_type, use_skip_connection=False, use_

src/model/modules.py:224

(self, nc_in, nc_out, nf, use_bias, norm, conv_by, conv_type, use_skip_connection: bool = False)

src/model/networks.py:107

( self, backbone, nc_in, nc_out, nf, use_bias, norm, conv_by, conv_type, use_refine=False, use

src/model/networks.py:130

( self, nc_in, nf=64, norm='SN', use_sigmoid=True, use_bias=True, conv_type='vanilla', conv_by

src/model/networks.py:162

(self, input_nc, output_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm3d, use_sigmoid=False)

src/model/networks.py:217

(self, in_channels, out_channels, name)

src/model/i3d.py:101

Initializes I3D model instance. Args: num_classes: The number of outputs in the logit layer (default 400, which matche

src/model/i3d.py:165

(self, requires_grad=False)

src/model/vgg.py:9

(self, reduction='mean', masked=False)

src/model/loss_module.py:17

(self, reduction='mean', masked=True)

src/model/loss_module.py:31

src/model/loss_module.py:45

(self, original_channel_norm=True)

src/model/loss_module.py:74

src/model/loss_module.py:127

src/model/loss_module.py:165

(self, reduction='sum')

src/model/loss_module.py:176

src/model/loss_module.py:187

src/model/loss_module.py:207

(self, flownet_checkpoint_path=None, alpha=50)

src/model/loss_module.py:220

(self, flownet_checkpoint_path, alpha=50)

src/model/loss_module.py:280

r""" type = nsgan | lsgan | hinge | l1

src/model/loss_module.py:327

(self, opts, nc_in=5, nc_out=3, d_s_args={}, d_t_args={}, losses=None)

src/model/video_inpainting_model.py:16

src/model/completion_model.py:9

src/model/completion_model.py:141

(self, num_class, num_segments, modality, base_model='resnet101', new_length=None,

src/model/tsm/models.py:17

(self, net, n_segment=3, n_div=8, inplace=False)

src/model/tsm/temporal_shift.py:17

(self, net, n_segment=3, n_div=8, inplace=False)

src/model/tsm/temporal_shift.py:59

(self, net, n_segment=3, n_div=8, inplace=False)

src/model/tsm/temporal_shift.py:169

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm

src/model/tsm/resnet.py:47

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm

src/model/tsm/resnet.py:93

( self, model, losses, metrics, optimizer_g, optimizer_d_s, optimizer_d_t, resume, con

src/base/base_trainer.py:16

(self, dataset, batch_size, shuffle, validation_split, num_workers, collate_fn=default_collate)

src/base/base_data_loader.py:11

src/base/base_model.py:10

( self, model, losses, metrics, optimizer_g, optimizer_d_s, optimizer_d_t, resume, con

src/base/base_inference.py:16

(self, filepaths)

src/scripts/extract_frames.py:28

(self, name, manager)

src/scripts/extract_frames.py:34

( self, model, losses, metrics, optimizer_g, optimizer_d_s, optimizer_d_t, resume, config,

src/trainer/inference.py:24

( self, model, losses, metrics, optimizer_g, optimizer_d_s, optimizer_d_t, resume, config,

src/trainer/trainer.py:24

(self, model='net-lin', net='vgg', use_gpu=True)

libs/PerceptualSimilarity/__init__.py:9

libs/PerceptualSimilarity/perceptual_loss.py:33

libs/PerceptualSimilarity/data/base_data_loader.py:3

(self, root, transform=None, return_paths=False, loader=default_loader)

libs/PerceptualSimilarity/data/image_folder.py:47

libs/PerceptualSimilarity/models/base_model.py:8

(self, requires_grad=False, pretrained=True)

libs/PerceptualSimilarity/models/pretrained_networks.py:6

(self, requires_grad=False, pretrained=True)

libs/PerceptualSimilarity/models/pretrained_networks.py:57

(self, requires_grad=False, pretrained=True, num=18)

libs/PerceptualSimilarity/models/pretrained_networks.py:139

(self, pnet_type='vgg', pnet_rand=False, pnet_tune=False, use_dropout=True, use_gpu=True, spatial=False, versi

libs/PerceptualSimilarity/models/networks_basic.py:71

(self, chn_mid=32,use_sigmoid=True)

libs/PerceptualSimilarity/models/networks_basic.py:177

(self, use_gpu=True, chn_mid=32)

libs/PerceptualSimilarity/models/networks_basic.py:192

(self, chn_in, chn_out=1, use_dropout=False)

libs/PerceptualSimilarity/models/networks_basic.py:212

(self, use_gpu=True, colorspace='Lab')

libs/PerceptualSimilarity/models/networks_basic.py:222

(self, web_dir, title, image_subdir='', reflesh=0)

libs/PerceptualSimilarity/util/html.py:7

libs/PerceptualSimilarity/util/visualizer.py:21

(self, frequency=1)

libs/PerceptualSimilarity/util/util.py:372

src/utils/readers.py:146

src/utils/readers.py:164

src/utils/directory_IO.py:39

src/data_loader/dataset.py:78

src/data_loader/dataset.py:232

src/data_loader/dataset.py:398

src/data_loader/dataset.py:590

src/data_loader/dataset.py:779

libs/PerceptualSimilarity/data/custom_dataset_data_loader.py:38

libs/PerceptualSimilarity/data/image_folder.py:70

src/utils/readers.py:149

src/utils/logger.py:16

Method_get_diff

(self, input, keep_rgb=False)

src/model/tsm/models.py:275

Method_get_edge_guidances

(self, tensors)

src/trainer/inference.py:330

Method_get_edge_guidances

(self, tensors)

src/trainer/trainer.py:338

Method_get_grad_mean_magnitude

Get mean magitude (absolute value) of gradient of output w.r.t params in the optimizer. This function is used to get a simple underst

src/trainer/inference.py:303

Method_get_grad_mean_magnitude

Get mean magitude (absolute value) of gradient of output w.r.t params in the optimizer. This function is used to get a simple underst

src/trainer/trainer.py:311

Method_get_loss

(self, outputs, warped_outputs, non_occlusion_masks, masks)

src/model/loss.py:276

Method_get_loss

(self, outputs, warped_outputs, non_occlusion_masks, masks)

src/model/loss_module.py:284

Method_get_masks

(self, size, start_idx, end_idx, fg_dir)

src/data_loader/dataset.py:1020

Method_save_file

(self, output_dir, i, file_)

src/utils/readers.py:186

Method_save_file

(self, output_dir, i, file_)

src/utils/readers.py:287

Method_save_file

(self, output_dir, i, file_)

src/utils/readers.py:344

← previous next →401–500 of 693, ranked by callers