Types & classes — github.com/Songluchuan/TDMM-LM_data

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Types & classes64 in github.com/Songluchuan/TDMM-LM_data

⨍ Functions 434◇ Types & classes 64

↓ 18 callersClassLRS3Dataset

tools/spectre_inverse/datasets/build_datasets.py:12

↓ 14 callersClassRepVGG

tools/spectre_inverse/6DRepNet/sixdrepnet/backbone/repvgg.py:146

↓ 7 callersClassSixDRepNet

tools/spectre_inverse/6DRepNet/sixdrepnet/model.py:9

↓ 7 callersClassSpectreDataset

tools/spectre_inverse/datasets/datasets.py:11

↓ 4 callersClassAverageMeter

Computes and stores the average and current value

tools/spectre_inverse/utils/run_av_hubert.py:12

↓ 4 callersClassFLAME

borrowed from https://github.com/soubhiksanyal/FLAME_PyTorch/blob/master/FLAME.py Given flame parameters this class generates a differentiabl

tools/smirk_inverse/src/FLAME/FLAME.py:45

↓ 4 callersClassLRS3Dataset

tools/smirk_inverse/datasets/lrs3_dataset.py:8

↓ 4 callersClassRenderer

tools/smirk_inverse/src/renderer/renderer.py:49

↓ 4 callersClassSmirkEncoder

tools/smirk_inverse/src/smirk_encoder.py:113

↓ 3 callersClassMEADDataset

tools/smirk_inverse/datasets/mead_dataset.py:9

↓ 3 callersClassMEADSidesDataset

tools/smirk_inverse/datasets/mead_sides_dataset.py:7

↓ 3 callersClassResNet

tools/spectre_inverse/src/models/resnet.py:23

↓ 3 callersClassSPECTRE

tools/spectre_inverse/src/spectre.py:31

↓ 3 callersClassSmirkGenerator

tools/smirk_inverse/src/smirk_generator.py:6

↓ 2 callersClassDoubleConv

(convolution => [BN] => ReLU) * 2

tools/spectre_inverse/src/models/resnet.py:194

↓ 2 callersClassPytorch3dRasterizer

Borrowed from https://github.com/facebookresearch/pytorch3d Notice: x,y,z are in image space, normalized can only render squared

tools/spectre_inverse/src/utils/renderer.py:33

↓ 2 callersClassRepVGGBlock

tools/spectre_inverse/6DRepNet/sixdrepnet/backbone/repvgg.py:16

↓ 1 callersClassAFLW

tools/spectre_inverse/6DRepNet/sixdrepnet/datasets.py:79

↓ 1 callersClassAFLW2000

tools/spectre_inverse/6DRepNet/sixdrepnet/datasets.py:24

↓ 1 callersClassAFW

tools/spectre_inverse/6DRepNet/sixdrepnet/datasets.py:123

↓ 1 callersClassArcface

tools/smirk_inverse/src/models/MICA/arcface.py:164

↓ 1 callersClassBIWI

tools/spectre_inverse/6DRepNet/sixdrepnet/datasets.py:177

↓ 1 callersClassC

tools/spectre_inverse/src/utils/util.py:560

↓ 1 callersClassCelebADataset

tools/smirk_inverse/datasets/celeba_dataset.py:6

↓ 1 callersClassExpressionEncoder

tools/smirk_inverse/src/smirk_encoder.py:76

↓ 1 callersClassExpressionLoss

Code borrowed from EMOCA https://github.com/radekd91/emoca

tools/smirk_inverse/src/losses/ExpressionLoss.py:25

↓ 1 callersClassExpressionLossNet

Code borrowed from EMOCA https://github.com/radekd91/emoca

tools/spectre_inverse/src/models/expression_loss.py:22

↓ 1 callersClassFFHQDataset

tools/smirk_inverse/datasets/ffhq_dataset.py:8

↓ 1 callersClassFLAME

borrowed from https://github.com/soubhiksanyal/FLAME_PyTorch/blob/master/FLAME.py Given flame parameters this class generates a differentiabl

tools/spectre_inverse/src/models/FLAME.py:37

↓ 1 callersClassFLAMETex

FLAME texture: https://github.com/TimoBolkart/TF_FLAME/blob/ade0ab152300ec5f0e8555d6765411555c5ed43d/sample_texture.py#L64 FLAME texture

tools/spectre_inverse/src/models/FLAME.py:218

↓ 1 callersClassGeodesicLoss

tools/spectre_inverse/6DRepNet/sixdrepnet/loss.py:7

↓ 1 callersClassMICA

tools/smirk_inverse/src/models/MICA/mica.py:48

↓ 1 callersClassMappingNetwork

tools/smirk_inverse/src/models/MICA/mica.py:14

↓ 1 callersClassMixedDatasetBatchSampler

tools/smirk_inverse/datasets/mixed_dataset_sampler.py:7

↓ 1 callersClassPerceptualEncoder

tools/spectre_inverse/src/models/encoders.py:8

↓ 1 callersClassPoseEncoder

tools/smirk_inverse/src/smirk_encoder.py:14

↓ 1 callersClassPose_300W_LP

tools/spectre_inverse/6DRepNet/sixdrepnet/datasets.py:230

↓ 1 callersClassResNet

tools/smirk_inverse/src/losses/resnet.py:88

↓ 1 callersClassResnetBlock

Define a Resnet block

tools/smirk_inverse/src/smirk_generator.py:121

↓ 1 callersClassResnetEncoder

tools/spectre_inverse/src/models/encoders.py:66

↓ 1 callersClassSEBlock

tools/spectre_inverse/6DRepNet/sixdrepnet/backbone/se_block.py:7

↓ 1 callersClassSRenderY

tools/spectre_inverse/src/utils/renderer.py:96

↓ 1 callersClassShapeEncoder

tools/smirk_inverse/src/smirk_encoder.py:48

↓ 1 callersClassSmirkTrainer

tools/smirk_inverse/src/smirk_trainer.py:12

↓ 1 callersClassStruct

tools/spectre_inverse/src/models/FLAME.py:32

↓ 1 callersClassStruct

tools/smirk_inverse/src/FLAME/FLAME.py:39

↓ 1 callersClassTrainer

tools/spectre_inverse/src/trainer_spectre.py:26

↓ 1 callersClassVGGPerceptualLoss

tools/smirk_inverse/src/losses/VGGPerceptualLoss.py:8

ClassBaseDataset

tools/smirk_inverse/datasets/base_dataset.py:29

ClassBaseTrainer

tools/smirk_inverse/src/base_trainer.py:12

ClassBasicBlock

tools/spectre_inverse/src/models/resnet.py:125

ClassBasicBlock

tools/smirk_inverse/src/losses/resnet.py:11

ClassBottleneck

tools/spectre_inverse/src/models/resnet.py:82

ClassBottleneck

tools/smirk_inverse/src/losses/resnet.py:43

tools/spectre_inverse/src/utils/tensor_cropper.py:85

Downscaling with maxpool then double conv

tools/spectre_inverse/src/models/resnet.py:212

ClassIBasicBlock

tools/smirk_inverse/src/models/MICA/arcface.py:32

tools/smirk_inverse/src/models/MICA/arcface.py:65

tools/spectre_inverse/src/models/resnet.py:255

ClassSixDRepNet2

tools/spectre_inverse/6DRepNet/sixdrepnet/model.py:48

ClassSixDRepNet_Detector

tools/spectre_inverse/6DRepNet/sixdrepnet/regressor.py:14

tools/spectre_inverse/src/utils/util.py:567

tools/spectre_inverse/src/utils/trainer.py:43

Upscaling then double conv

tools/spectre_inverse/src/models/resnet.py:226