Functions — github.com/amjltc295/Free-Form-Video-Inpainting

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Functions471 in github.com/amjltc295/Free-Form-Video-Inpainting

⨍ Functions 471◇ Types & classes 106

↓ 1 callersMethodsave_bboxes

(self)

src/utils/readers.py:237

↓ 1 callersFunctionsave_json

(name, dummy_train_data_loader, test_data_loaders)

src/scripts/dataset_json_generator.py:42

↓ 1 callersFunctionsave_video_to_frames

(video_filename, output_dir, max_len, min_h, min_w, prefix='')

src/scripts/extract_frames.py:94

↓ 1 callersMethodset_input

(self, data)

libs/PerceptualSimilarity/models/dist_model.py:170

↓ 1 callersFunctionspatial_discounting_mask

Generate spatial discounting mask constant. Spatial discounting mask is first introduced in publication: Generative Image Inpainting with

src/utils/util.py:142

↓ 1 callersMethodsplit_validation

(self)

src/base/base_data_loader.py:52

↓ 1 callersMethodstyle_loss

(self, output, target)

src/model/loss.py:83

↓ 1 callersMethodsummary

Model summary

src/base/base_model.py:22

↓ 1 callersMethodsynthesize_frames

(self, bg_reader, fg_reader, mask_only=False)

src/utils/readers.py:256

↓ 1 callersFunctiontensor2im

(image_tensor, imtype=np.uint8, cent=1., factor=255./2.)

libs/PerceptualSimilarity/util/util.py:138

↓ 1 callersFunctiontensor2np

(tensor_obj)

libs/PerceptualSimilarity/util/util.py:91

↓ 1 callersFunctiontest_all

( root_bg_frames_dir, )

src/scripts/clean_files.py:23

↓ 1 callersFunctiontsm

(tensor, version='zero', inplace=True)

src/model/tsm_utils.py:37

↓ 1 callersMethodupdate_learning_rate

(self,nepoch_decay)

libs/PerceptualSimilarity/models/dist_model.py:234

↓ 1 callersMethodvgg_loss

(self, output, target)

src/model/loss.py:37

FunctionCreateDataLoader

(datafolder,dataroot='./dataset',dataset_mode='2afc',load_size=64,batch_size=1,serial_batches=True)

libs/PerceptualSimilarity/data/data_loader.py:1

FunctionL2_loss

(output, target)

src/model/metric.py:23

Method__call__

(self, img_group)

src/data_loader/transform.py:20

Method__call__

(self, img_group)

src/data_loader/transform.py:44

Method__call__

(self, img_group, is_flow=False)

src/data_loader/transform.py:54

Method__call__

(self, tensor)

src/data_loader/transform.py:71

Method__call__

(self, img_group)

src/data_loader/transform.py:94

Method__call__

(self, img_group)

src/data_loader/transform.py:107

Method__call__

(self, img_group)

src/data_loader/transform.py:145

Method__call__

(self, img_group)

src/data_loader/transform.py:220

Method__call__

(self, img_group)

src/data_loader/transform.py:261

Method__call__

(self, pic)

src/data_loader/transform.py:283

Method__call__

(self, data)

src/data_loader/transform.py:300

Method__call__

(self, outputs, is_real, is_disc=None)

src/model/loss.py:341

Method__call__

(self, module)

libs/PerceptualSimilarity/util/util.py:375

Method__getattr__

If visualization is configured to use: return add_data() methods of tensorboard with additional information (step, tag) added.

src/utils/visualization.py:32

Method__getattr__

(self, attr)

src/utils/directory_IO.py:48

Method__getitem__

(self, key)

src/utils/readers.py:155

Method__getitem__

(self, index)

src/data_loader/dataset.py:164

Method__getitem__

(self, index)

src/data_loader/dataset.py:191

Method__getitem__

(self, index)

src/data_loader/dataset.py:229

Method__getitem__

(self, index)

libs/PerceptualSimilarity/data/image_folder.py:60

Method__init__

( self, dir_name, resize=None, read=True, max_length=MAX_LENGTH, scale=1, sample_period=1

src/utils/readers.py:163

Method__init__

( self, bg_frames_dir, fg_frames_dir, fg_segms_dir, segm_bbox_mask_dir, fg_dir, dir_name,

src/utils/readers.py:210

Method__init__

(self, dir_name, i, ks)

src/utils/readers.py:276

Method__init__

( self, dir_name, resize=None, scale=1 )

src/utils/readers.py:290

Method__init__

(self, dir_name, read=True)

src/utils/readers.py:310

Method__init__

( self, mask_output_dir, size, bboxeses, save_masks=True )

src/utils/readers.py:354

Method__init__

( self, frames_dir, segms_dir, dir_name, resize=None, scale=1 )

src/utils/readers.py:394

Method__init__

(self, dir_names, col=2, names=[], mask_dir=None)

src/utils/readers.py:432

Method__init__

( self, dir_name, resize=None, read=True, max_length=MAX_LENGTH, scale=1 )

src/utils/readers.py:488

Method__init__

(self, writer_dir, logger, enable)

src/utils/visualization.py:6

Method__init__

(self)

src/utils/logger.py:10

Method__init__

(self, windowname, dests, colors, brush)

src/utils/screen.py:6

Method__init__

( self, root_videos_dir, root_masks_dir, video_names_filename=None )

src/utils/directory_IO.py:15

Method__init__

( self, root_outputs_dir, )

src/utils/directory_IO.py:40

Method__init__

( self, root_inputs_dirs, root_outputs_dirs, video_name, mask_name )

src/utils/directory_IO.py:58

Method__init__

( self, rids: RootInputDirectories, rods: RootOutputDirectories, args: dict,

src/data_loader/dataset.py:175

Method__init__

( self, rids: RootInputDirectories, rods: RootOutputDirectories, args: dict,

src/data_loader/dataset.py:211

Method__init__

( self, rids: RootInputDirectories, rods: RootOutputDirectories, args: dict

src/data_loader/dataset.py:252

Method__init__

(self, size)

src/data_loader/transform.py:14

Method__init__

(self, size)

src/data_loader/transform.py:41

Method__init__

(self, is_flow=False)

src/data_loader/transform.py:51

Method__init__

(self, mean, std)

src/data_loader/transform.py:67

Method__init__

(self, size, interpolation=Image.BILINEAR)

src/data_loader/transform.py:91

Method__init__

(self, crop_size, scale_size=None)

src/data_loader/transform.py:99

Method__init__

(self, input_size, scales=None, max_distort=1, fix_crop=True, more_fix_crop=True)

src/data_loader/transform.py:137

Method__init__

(self, size, interpolation=Image.BILINEAR)

src/data_loader/transform.py:216

Method__init__

(self, roll=False)

src/data_loader/transform.py:258

Method__init__

(self, div=True)

src/data_loader/transform.py:280

Method__init__

( self, root_videos_dir, root_masks_dir, root_outputs_dir, dataset_args, batch_size, s

src/data_loader/data_loaders.py:10

Method__init__

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

(self, original_channel_norm=True)

src/model/loss.py:63

Method__init__

(self)

src/model/loss.py:118

Method__init__

(self)

src/model/loss.py:157

Method__init__

(self, reduction='sum')

src/model/loss.py:168

Method__init__

(self)

src/model/loss.py:179

Method__init__

(self)

src/model/loss.py:199

Method__init__

(self, flownet_checkpoint_path=None, alpha=50)

src/model/loss.py:212

Method__init__

(self, flownet_checkpoint_path, alpha=50)

src/model/loss.py:272

Method__init__

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

src/model/loss.py:319

Method__init__

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

src/model/blocks.py:12

Method__init__

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

src/model/blocks.py:56

Method__init__

(self)

src/model/blocks.py:103

Method__init__

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

src/model/blocks.py:119

Method__init__

(self, out_channels)

src/model/blocks.py:143

Method__init__

(self, out_channels, track_running_stats=True)

src/model/blocks.py:148

Method__init__

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

src/model/blocks.py:156

Method__init__

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

src/model/blocks.py:195

Method__init__

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

src/model/blocks.py:240

Method__init__

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

src/model/blocks.py:294

Method__init__

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

src/model/blocks.py:310

Method__init__

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

src/model/blocks.py:371

Method__init__

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

src/model/modules.py:31

Method__init__

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

src/model/modules.py:94

Method__init__

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

src/model/modules.py:99

Method__init__

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

src/model/networks.py:62

Method__init__

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

src/model/networks.py:85

Method__init__

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

src/model/networks.py:117

Method__init__

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

src/model/networks.py:172

Method__init__

(self, in_channels, out_channels, name)

src/model/i3d.py:101

Method__init__

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

src/model/i3d.py:165

Method__init__

(self, requires_grad=False)

src/model/vgg.py:9

Method__init__

(self, opts, nc_in=5, nc_out=3, d_s_args={}, d_t_args={})

src/model/video_inpainting_model.py:12

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