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github.com/MaureenZOU/TSAM
/ types & classes
Types & classes
158 in github.com/MaureenZOU/TSAM
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Functions
693
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Types & classes
158
↓ 30 callers
Class
FrameReader
src/utils/readers.py:168
↓ 17 callers
Class
Conv2dBlock
src/model/blocks.py:57
↓ 12 callers
Class
Conv3dBlock
src/model/blocks.py:13
↓ 11 callers
Class
Unit3D
src/model/i3d.py:35
↓ 9 callers
Class
GroupScale
Rescales the input PIL.Image to the given 'size'. 'size' will be the size of the smaller edge. For example, if height > width, then image wil
src/data_loader/transform_flow.py:128
↓ 9 callers
Class
InceptionModule
src/model/i3d.py:100
↓ 7 callers
Class
NetLinLayer
A single linear layer which does a 1x1 conv
libs/PerceptualSimilarity/models/networks_basic.py:210
↓ 6 callers
Class
Conv2d
src/model/tsm/module.py:5
↓ 6 callers
Class
GroupToFlow
src/data_loader/transform_flow.py:44
↓ 6 callers
Class
SegmentationReader
src/utils/readers.py:296
↓ 5 callers
Class
DAVISReader
src/utils/readers.py:317
↓ 5 callers
Class
GroupRandomCrop
src/data_loader/transform_flow.py:14
↓ 5 callers
Class
MaxPool3dSamePadding
src/model/i3d.py:8
↓ 5 callers
Class
Stack
src/data_loader/transform_flow.py:318
↓ 5 callers
Class
ToTorchFormatTensor
Converts a PIL.Image (RGB) or numpy.ndarray (H x W x C) in the range [0, 255] to a torch.FloatTensor of shape (C x H x W) in the range [0.0, 1.0]
src/data_loader/transform_flow.py:349
↓ 5 callers
Class
VideoDirectories
src/utils/directory_IO.py:61
↓ 4 callers
Class
MaskReader
src/utils/readers.py:336
↓ 4 callers
Class
Sequential
src/model/tsm/module.py:38
↓ 3 callers
Class
CompareFramesReader
src/utils/readers.py:499
↓ 3 callers
Class
FlowReader
src/utils/readers.py:458
↓ 3 callers
Class
FlowmaskReader
src/utils/readers.py:485
↓ 3 callers
Class
GroupRandomHorizontalFlip
Randomly horizontally flips the given PIL.Image with a probability of 0.5
src/data_loader/transform_flow.py:71
↓ 3 callers
Class
GroupScale
Rescales the input PIL.Image to the given 'size'. 'size' will be the size of the smaller edge. For example, if height > width, then image wil
src/data_loader/transform.py:82
↓ 3 callers
Class
L1LossMaskedMean
src/model/loss.py:156
↓ 3 callers
Class
L1LossMaskedMean
src/model/loss_module.py:164
↓ 3 callers
Class
Relu
src/model/tsm/module.py:22
↓ 3 callers
Class
Stack
src/data_loader/transform.py:256
↓ 3 callers
Class
TemporalShift
src/model/tsm/temporal_shift.py:168
↓ 3 callers
Class
ToTorchFormatTensor
Converts a PIL.Image (RGB) or numpy.ndarray (H x W x C) in the range [0, 255] to a torch.FloatTensor of shape (C x H x W) in the range [0.0, 1.0]
src/data_loader/transform.py:277
↓ 2 callers
Class
AdversarialLoss
r""" Adversarial loss https://arxiv.org/abs/1711.10337
src/model/loss.py:313
↓ 2 callers
Class
AdversarialLoss
r""" Adversarial loss https://arxiv.org/abs/1711.10337
src/model/loss_module.py:321
↓ 2 callers
Class
ForegroundReader
src/utils/readers.py:420
↓ 2 callers
Class
GroupNormalize
src/data_loader/transform_flow.py:112
↓ 2 callers
Class
GroupNormalize
src/data_loader/transform.py:66
↓ 2 callers
Class
GroupRandomCrop
src/data_loader/transform.py:13
↓ 2 callers
Class
Logger
Training process logger Note: Used by BaseTrainer to save training history.
src/utils/logger.py:4
↓ 2 callers
Class
SNTemporalPatchGANDiscriminator
src/model/networks.py:161
↓ 2 callers
Class
TSN
src/model/tsm/models.py:16
↓ 2 callers
Class
UpSampleModule
src/model/modules.py:108
↓ 2 callers
Class
WriterTensorboardX
src/utils/visualization.py:5
↓ 1 callers
Class
AttentionDownSampleModule
src/model/modules.py:103
↓ 1 callers
Class
CoarseNet
src/model/networks.py:12
↓ 1 callers
Class
CombCN
src/model/completion_model.py:81
↓ 1 callers
Class
CustomDatasetDataLoader
libs/PerceptualSimilarity/data/custom_dataset_data_loader.py:19
↓ 1 callers
Class
Dist2LogitLayer
takes 2 distances, puts through fc layers, spits out value between [0,1] (if use_sigmoid is True)
libs/PerceptualSimilarity/models/networks_basic.py:175
↓ 1 callers
Class
DistModel
libs/PerceptualSimilarity/models/dist_model.py:20
↓ 1 callers
Class
DownSampleModule
src/model/modules.py:40
↓ 1 callers
Class
GatedConv
src/model/blocks.py:277
↓ 1 callers
Class
Generator
src/model/networks.py:129
↓ 1 callers
Class
GroupRandomSizedCrop
Random crop the given PIL.Image to a random size of (0.08 to 1.0) of the original size and and a random aspect ratio of 3/4 to 4/3 of the original
src/data_loader/transform_flow.py:271
↓ 1 callers
Class
GroupRandomSizedCrop
Random crop the given PIL.Image to a random size of (0.08 to 1.0) of the original size and and a random aspect ratio of 3/4 to 4/3 of the original
src/data_loader/transform.py:209
↓ 1 callers
Class
HTML
libs/PerceptualSimilarity/util/html.py:6
↓ 1 callers
Class
InceptionI3d
Inception-v1 I3D architecture. The model is introduced in: Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset Joa
src/model/i3d.py:128
↓ 1 callers
Class
Inference
Trainer class Note: Inherited from BaseTrainer.
src/trainer/inference.py:16
↓ 1 callers
Class
L2LossMaskedMean
src/model/loss.py:167
↓ 1 callers
Class
L2LossMaskedMean
src/model/loss_module.py:175
↓ 1 callers
Class
Manager
src/scripts/extract_frames.py:27
↓ 1 callers
Class
MaskGenerator
src/utils/readers.py:380
↓ 1 callers
Class
MaxPool2d
src/model/tsm/module.py:30
↓ 1 callers
Class
PartialConv
src/model/blocks.py:330
↓ 1 callers
Class
PerceptModel
libs/PerceptualSimilarity/perceptual_loss.py:32
↓ 1 callers
Class
RefineNet
src/model/networks.py:106
↓ 1 callers
Class
ResNet
src/model/tsm/resnet.py:132
↓ 1 callers
Class
RootInputDirectories
src/utils/directory_IO.py:13
↓ 1 callers
Class
RootOutputDirectories
src/utils/directory_IO.py:43
↓ 1 callers
Class
SynthesizedFrameReader
src/utils/readers.py:215
↓ 1 callers
Class
TemporalPool
src/model/tsm/temporal_shift.py:233
↓ 1 callers
Class
TemporalWarpingError
src/model/loss.py:271
↓ 1 callers
Class
Trainer
Trainer class Note: Inherited from BaseTrainer.
src/trainer/trainer.py:16
↓ 1 callers
Class
UpSampleResNetSkip
src/model/modules.py:159
↓ 1 callers
Class
UpSampleResNetSkipGated
src/model/modules.py:223
↓ 1 callers
Class
VanillaConv
src/model/blocks.py:215
↓ 1 callers
Class
Vgg16
src/model/vgg.py:8
↓ 1 callers
Class
VideoCN
src/model/completion_model.py:8
↓ 1 callers
Class
Visualizer
libs/PerceptualSimilarity/util/visualizer.py:20
↓ 1 callers
Class
Worker
src/scripts/extract_frames.py:33
Class
BCERankingLoss
libs/PerceptualSimilarity/models/networks_basic.py:191
Class
Base
src/model/blocks.py:104
Class
BaseDataLoader
Base class for all data loaders
src/base/base_data_loader.py:7
Class
BaseDataLoader
libs/PerceptualSimilarity/data/base_data_loader.py:2
Class
BaseInference
Base class for all trainers
src/base/base_inference.py:11
Class
BaseModel
Base class for all models
src/base/base_model.py:6
Class
BaseModel
libs/PerceptualSimilarity/models/base_model.py:7
Class
BaseModule
src/model/modules.py:17
Class
BaseTrainer
Base class for all trainers
src/base/base_trainer.py:11
Class
BasicBlock
src/model/tsm/resnet.py:44
Class
BatchNorm2d
src/model/tsm/module.py:14
Class
BatchNorm3d
src/model/blocks.py:150
Class
Bottleneck
src/model/tsm/resnet.py:84
Class
BoundingBoxesListReader
src/utils/readers.py:555
Class
CelebAFrameAndMaskDataset
src/data_loader/dataset.py:920
Class
CompleteFramesReconLoss
src/model/loss.py:198
Class
CompleteFramesReconLoss
src/model/loss_module.py:206
Class
CompletionNet
src/model/completion_model.py:140
Class
Conv3d
src/model/blocks.py:126
Class
Conv3d
src/model/blocks.py:163
Class
CusImageFolder
src/xy_scripts/utils/helpers.py:5
Class
DSSIM
libs/PerceptualSimilarity/models/networks_basic.py:244
Class
EdgeLoss
src/model/loss.py:117
Class
EdgeLoss
src/model/loss_module.py:126
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