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Types & classes26 in github.com/ZHKKKe/MODNet

↓ 20 callersClassConv2dIBNormRelu
Convolution + IBNorm + ReLu
torchscript/modnet_torchscript.py:40
↓ 20 callersClassConv2dIBNormRelu
Convolution + IBNorm + ReLu
src/models/modnet.py:32
↓ 20 callersClassConv2dIBNormRelu
Convolution + IBNorm + ReLu
onnx/modnet_onnx.py:40
↓ 3 callersClassMODNet
Architecture of MODNet
onnx/modnet_onnx.py:201
↓ 2 callersClassInvertedResidual
src/models/backbones/mobilenetv2.py:45
↓ 1 callersClassFusionBranch
Fusion Branch of MODNet
torchscript/modnet_torchscript.py:170
↓ 1 callersClassFusionBranch
Fusion Branch of MODNet
src/models/modnet.py:173
↓ 1 callersClassFusionBranch
Fusion Branch of MODNet
onnx/modnet_onnx.py:170
↓ 1 callersClassGaussianBlurLayer
Add Gaussian Blur to a 4D tensors This layer takes a 4D tensor of {N, C, H, W} as input. The Gaussian blur will be performed in given channel
src/trainer.py:21
↓ 1 callersClassHRBranch
High Resolution Branch of MODNet
torchscript/modnet_torchscript.py:120
↓ 1 callersClassHRBranch
High Resolution Branch of MODNet
src/models/modnet.py:117
↓ 1 callersClassHRBranch
High Resolution Branch of MODNet
onnx/modnet_onnx.py:120
↓ 1 callersClassIBNorm
Combine Instance Norm and Batch Norm into One Layer
torchscript/modnet_torchscript.py:20
↓ 1 callersClassIBNorm
Combine Instance Norm and Batch Norm into One Layer
src/models/modnet.py:12
↓ 1 callersClassIBNorm
Combine Instance Norm and Batch Norm into One Layer
onnx/modnet_onnx.py:20
↓ 1 callersClassLRBranch
Low Resolution Branch of MODNet
torchscript/modnet_torchscript.py:92
↓ 1 callersClassLRBranch
Low Resolution Branch of MODNet
src/models/modnet.py:84
↓ 1 callersClassLRBranch
Low Resolution Branch of MODNet
onnx/modnet_onnx.py:92
↓ 1 callersClassMobileNetV2
src/models/backbones/mobilenetv2.py:90
↓ 1 callersClassSEBlock
SE Block Proposed in https://arxiv.org/pdf/1709.01507.pdf
torchscript/modnet_torchscript.py:66
↓ 1 callersClassSEBlock
SE Block Proposed in https://arxiv.org/pdf/1709.01507.pdf
src/models/modnet.py:58
↓ 1 callersClassSEBlock
SE Block Proposed in https://arxiv.org/pdf/1709.01507.pdf
onnx/modnet_onnx.py:66
ClassBaseBackbone
Superclass of Replaceable Backbone Model for Semantic Estimation
src/models/backbones/wrapper.py:10
ClassMODNet
Architecture of MODNet
torchscript/modnet_torchscript.py:201
ClassMODNet
Architecture of MODNet
src/models/modnet.py:204
ClassMobileNetV2Backbone
MobileNetV2 Backbone
src/models/backbones/wrapper.py:28