Types & classes — github.com/UBC-CIC/COVID19-L3-Net

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Types & classes54 in github.com/UBC-CIC/COVID19-L3-Net

⨍ Functions 166◇ Types & classes 54

↓ 4 callersClassDown

Downscaling with maxpool then double conv

src/models/base_networks/unet2d.py:25

↓ 4 callersClassUp

Upscaling then double conv

src/models/base_networks/unet2d.py:39

↓ 3 callersClassDoubleConv

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

src/models/base_networks/unet2d.py:7

↓ 3 callersClassTransitionWithSkip

src/models/base_networks/segmentation_models_pytorch/encoders/densenet.py:35

↓ 2 callersClassActivation

src/models/base_networks/segmentation_models_pytorch/base/modules.py:76

↓ 2 callersClassArgMax

src/models/base_networks/segmentation_models_pytorch/base/modules.py:66

↓ 1 callersClassClassificationHead

src/models/base_networks/segmentation_models_pytorch/base/heads.py:14

↓ 1 callersClassDataParser

src/datasets/transformers/micnn_augmentor.py:151

↓ 1 callersClassDepthCrop

src/datasets/transformers/trans_utils.py:184

↓ 1 callersClassFlatten

src/models/base_networks/segmentation_models_pytorch/base/modules.py:121

↓ 1 callersClassOutConv

src/models/base_networks/unet2d.py:68

↓ 1 callersClassPSPBlock

src/models/base_networks/segmentation_models_pytorch/pspnet/decoder.py:8

↓ 1 callersClassPSPDecoder

src/models/base_networks/segmentation_models_pytorch/pspnet/decoder.py:40

↓ 1 callersClassPSPModule

src/models/base_networks/segmentation_models_pytorch/pspnet/decoder.py:26

↓ 1 callersClassSCSEModule

src/models/base_networks/segmentation_models_pytorch/base/modules.py:50

↓ 1 callersClassSegmentationHead

src/models/base_networks/segmentation_models_pytorch/base/heads.py:5

↓ 1 callersClassTrainMonitor

src/models/semseg.py:240

src/models/base_networks/segmentation_models_pytorch/base/modules.py:105

ClassCenterCrop

src/datasets/transformers/trans_utils.py:334

ClassConv2dReLU

src/models/base_networks/segmentation_models_pytorch/base/modules.py:10

ClassDPNEncorder

src/models/base_networks/segmentation_models_pytorch/encoders/dpn.py:36

ClassData_Augmentation

src/datasets/transformers/micnn_augmentor.py:12

ClassDenseNetEncoder

src/models/base_networks/segmentation_models_pytorch/encoders/densenet.py:49

ClassEfficientNetEncoder

src/models/base_networks/segmentation_models_pytorch/encoders/timm_efficientnet.py:52

ClassEfficientNetEncoder

src/models/base_networks/segmentation_models_pytorch/encoders/efficientnet.py:32

ClassEncoderMixin

Add encoder functionality such as: - output channels specification of feature tensors (produced by encoder) - patching first convoluti

src/models/base_networks/segmentation_models_pytorch/encoders/_base.py:9

ClassGroupLabels

src/datasets/transformers/trans_utils.py:85

ClassInceptionResNetV2Encoder

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionresnetv2.py:33

ClassInceptionV4Encoder

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionv4.py:33

ClassLocMonitor

src/models/metrics.py:47

ClassMobileNetV2Encoder

src/models/base_networks/segmentation_models_pytorch/encoders/mobilenet.py:32

ClassNormalize3D

src/datasets/transformers/trans_utils.py:135

ClassOpenSource

src/datasets/open_source.py:12

PSPNet_ is a fully convolution neural network for image semantic segmentation Args: encoder_name: name of classification model used as fe

src/models/base_networks/segmentation_models_pytorch/pspnet/model.py:10

ClassPreparePilLabel

src/datasets/transformers/trans_utils.py:230

ClassRandomDepthCrop

src/datasets/transformers/trans_utils.py:156

ClassRepeatChannels

src/datasets/transformers/trans_utils.py:126

ClassResNetEncoder

src/models/base_networks/segmentation_models_pytorch/encoders/resnet.py:36

src/datasets/transformers/trans_utils.py:272

ClassResizeLinear

src/datasets/transformers/trans_utils.py:299

src/datasets/transformers/trans_utils.py:317

ClassSENetEncoder

src/models/base_networks/segmentation_models_pytorch/encoders/senet.py:38

ClassSegMonitor

src/models/metrics.py:8

ClassSegmentationModel

src/models/base_networks/segmentation_models_pytorch/base/model.py:5

src/models/semseg.py:27

src/datasets/transformers/trans_utils.py:240

src/datasets/transformers/trans_utils.py:217

src/datasets/transformers/trans_utils.py:256

src/datasets/transformers/trans_utils.py:245

src/models/base_networks/unet2d.py:78

ClassUndoPreparePilLabel

src/datasets/transformers/trans_utils.py:235

ClassVGGEncoder

src/models/base_networks/segmentation_models_pytorch/encoders/vgg.py:43

ClassXceptionEncoder

src/models/base_networks/segmentation_models_pytorch/encoders/xception.py:10

src/datasets/transformers/trans_utils.py:262