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Types & classes59 in github.com/MingtaoGuo/StyleSwap

⨍ Functions 255◇ Types & classes 59↳ Endpoints 1
↓ 10 callersClassConvBNReLU
face_parsing/bisenet.py:13
↓ 7 callersClassBackbone
training/loss/model_irse.py:10
↓ 7 callersClassConvLayer
face_model/gpen_model.py:591
↓ 7 callersClassFaceWarpException
align_faces.py:96
↓ 7 callersClassNetLinLayer
A single linear layer which does a 1x1 conv
training/lpips/lpips.py:135
↓ 5 callersClassEqualLinear
face_model/gpen_model.py:137
↓ 3 callersClassBiSeNetOutput
face_parsing/bisenet.py:36
↓ 3 callersClassBlur
face_model/gpen_model.py:79
↓ 3 callersClassFullGenerator
face_model/gpen_model.py:661
↓ 3 callersClassModulatedConv2d
face_model/gpen_model.py:185
↓ 3 callersClassStyledConv
face_model/gpen_model.py:316
↓ 2 callersClassAttentionRefinementModule
face_parsing/bisenet.py:66
↓ 2 callersClassBasicBlock
face_parsing/resnet.py:20
↓ 2 callersClassBiSeNet
face_parsing/bisenet.py:229
↓ 2 callersClassBottleneck
A named tuple describing a ResNet block.
training/loss/helpers.py:21
↓ 2 callersClassFlatten
training/loss/helpers.py:10
↓ 2 callersClassFusedLeakyReLU
face_model/op/fused_act.py:79
↓ 2 callersClassResnet18
face_parsing/resnet.py:58
↓ 2 callersClassToMask
face_model/gpen_model.py:378
↓ 2 callersClassToRGB
face_model/gpen_model.py:357
↓ 2 callersClassUpsample
face_model/gpen_model.py:35
↓ 1 callersClassConstantInput
face_model/gpen_model.py:303
↓ 1 callersClassContextPath
face_parsing/bisenet.py:91
↓ 1 callersClassDiscriminator
face_model/gpen_model.py:728
↓ 1 callersClassDist2LogitLayer
takes 2 distances, puts through fc layers, spits out value between [0,1] (if use_sigmoid is True)
training/lpips/lpips.py:147
↓ 1 callersClassEqualConv2d
face_model/gpen_model.py:99
↓ 1 callersClassFaceDataset
training/data_loader/dataset_face.py:9
↓ 1 callersClassFaceParsing
face_parsing/face_parsing.py:11
↓ 1 callersClassFeatureFusionModule
face_parsing/bisenet.py:179
↓ 1 callersClassGenerator
face_model/gpen_model.py:397
↓ 1 callersClassIResNet
face_model/arcface.py:67
↓ 1 callersClassNoiseInjection
face_model/gpen_model.py:285
↓ 1 callersClassPixelNorm
face_model/gpen_model.py:16
↓ 1 callersClassResBlock
face_model/gpen_model.py:641
↓ 1 callersClassSEModule
training/loss/helpers.py:56
↓ 1 callersClassScaledLeakyReLU
face_model/gpen_model.py:173
↓ 1 callersClassScalingLayer
training/lpips/lpips.py:125
↓ 1 callersClassVGG19
face_model/gpen_model.py:794
ClassBCERankingLoss
training/lpips/lpips.py:164
ClassDSSIM
training/lpips/lpips.py:199
ClassDownsample
face_model/gpen_model.py:57
ClassFakeNet
training/lpips/lpips.py:177
ClassFusedLeakyReLUFunction
face_model/op/fused_act.py:57
ClassFusedLeakyReLUFunctionBackward
face_model/op/fused_act.py:25
ClassIBasicBlock
face_model/arcface.py:29
ClassIDLoss
training/loss/id_loss.py:6
ClassL2
training/lpips/lpips.py:183
ClassLPIPS
training/lpips/lpips.py:22
ClassPredictor
misc/predict.py:16
ClassSpatialPath
face_parsing/bisenet.py:145
ClassTrainer
training/lpips/trainer.py:15
ClassUpFirDn2d
face_model/op/upfirdn2d.py:92
ClassUpFirDn2dBackward
face_model/op/upfirdn2d.py:23
Classalexnet
training/lpips/pretrained_networks.py:56
Classbottleneck_IR
training/loss/helpers.py:75
Classbottleneck_IR_SE
training/loss/helpers.py:97
Classresnet
training/lpips/pretrained_networks.py:138
Classsqueezenet
training/lpips/pretrained_networks.py:5
Classvgg16
training/lpips/pretrained_networks.py:96