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Types & classes68 in github.com/danier97/ST-MFNet

⨍ Functions 184◇ Types & classes 68
↓ 12 callersClassBasicBlock
losses/discriminator.py:5
↓ 12 callersClassLateralBlock
models/misc/gridnet.py:245
↓ 8 callersClassMultiScaleResNextBlock
models/feature.py:91
↓ 5 callersClassDecoder
models/misc/pwcnet.py:146
↓ 4 callersClassDownSamplingBlock
models/misc/gridnet.py:264
↓ 4 callersClassSEGating
models/misc/resnet_3D.py:82
↓ 4 callersClassUpSamplingBlock
models/misc/gridnet.py:278
↓ 3 callersClassupConv3D
models/misc/resnet_3D.py:375
↓ 2 callersClassConv_3d
models/misc/resnet_3D.py:400
↓ 2 callersClassResNextBlock
models/feature.py:32
↓ 2 callersClassVimeo90k_quintuplet
data/datasets.py:12
↓ 1 callersClassBVIDVC_quintuplet
data/datasets.py:54
↓ 1 callersClassExtractor
models/misc/pwcnet.py:75
↓ 1 callersClassFoldUnfold
Class to handle folding tensor frame into batch of patches and back to frame again Thanks to Charlie Tan (charlie.tan.2019@bristol.ac.uk) for
utility.py:80
↓ 1 callersClassGaussianConv
losses/laplacianpyramid.py:6
↓ 1 callersClassKernelEstimation
models/stmfnet.py:73
↓ 1 callersClassLaplacianPyramid
Implementing "The Laplacian pyramid as a compact image code." Burt, Peter J., and Edward H. Adelson.
losses/laplacianpyramid.py:22
↓ 1 callersClassMIMOGridNet
models/misc/gridnet.py:95
↓ 1 callersClassMetric
models/stmfnet.py:201
↓ 1 callersClassModuleSoftsplat
cupy_module/softsplat.py:362
↓ 1 callersClassNetwork
models/misc/pwcnet.py:71
↓ 1 callersClassRefiner
models/misc/pwcnet.py:224
↓ 1 callersClassSEBlock
models/feature.py:13
↓ 1 callersClassSTMFNet
models/stmfnet.py:197
↓ 1 callersClassSampler
data/datasets.py:87
↓ 1 callersClassTrainer
trainers/quintuplet.py:7
↓ 1 callersClassUNet3d_18
models/stmfnet.py:15
↓ 1 callersClassUpsampler_8tap
models/misc/__init__.py:19
↓ 1 callersClassVideoResNet
models/misc/resnet_3D.py:211
ClassAdversarial
losses/adversarial.py:10
ClassBasicBlock
models/misc/resnet_3D.py:101
ClassBasicStem
The default conv-batchnorm-relu stem
models/misc/resnet_3D.py:183
ClassBottleneck
models/misc/resnet_3D.py:137
ClassCharbonnier
losses/charbonnier.py:4
ClassConv2Plus1D
models/misc/resnet_3D.py:37
ClassConv3DNoTemporal
models/misc/resnet_3D.py:60
ClassConv3DSimple
models/misc/resnet_3D.py:13
ClassDavis90_quintuplet
data/testsets.py:225
ClassDavis90_triplet
data/testsets.py:159
ClassDiscriminator
losses/discriminator.py:19
ClassFI_Cond_Discriminator
losses/discriminator.py:155
ClassFI_Discriminator
losses/discriminator.py:113
ClassFunctionAdaCoF
cupy_module/adacof.py:311
ClassGeneralGridNet
models/misc/gridnet.py:148
ClassGridNet
models/misc/gridnet.py:193
ClassIdentity
models/feature.py:6
ClassIdentity
models/misc/__init__.py:10
ClassLaplacianLoss
losses/laplacianpyramid.py:61
ClassLoss
losses/__init__.py:5
ClassModuleCorrelation
models/misc/correlation/correlation.py:389
ClassMultiInputGridNet
models/misc/gridnet.py:5
ClassPredictor
predict.py:36
ClassR2Plus1dStem
R(2+1)D stem is different than the default one as it uses separated 3D convolution
models/misc/resnet_3D.py:194
ClassSSIM
metrics/pytorch_ssim/__init__.py:105
ClassST_Discriminator
losses/discriminator.py:208
ClassSnufilm_easy_quintuplet
data/testsets.py:471
ClassSnufilm_extreme_quintuplet
data/testsets.py:395
ClassSnufilm_hard_quintuplet
data/testsets.py:481
ClassSnufilm_medium_quintuplet
data/testsets.py:476
ClassStream
cupy_module/adacof.py:337
ClassTemporal_Discriminator
losses/discriminator.py:60
ClassUMultiScaleResNext
models/feature.py:107
ClassUcf101_quintuplet
data/testsets.py:343
ClassUcf101_triplet
data/testsets.py:295
ClassVFITex_quintuplet
data/testsets.py:83
ClassVFITex_triplet
data/testsets.py:13
Class_FunctionCorrelation
models/misc/correlation/correlation.py:278
Class_FunctionSoftsplat
cupy_module/softsplat.py:239