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Types & classes22 in github.com/VisionRush/DeepFakeDefenders

⨍ Functions 138◇ Types & classes 22↳ Endpoints 1
↓ 5 callersClassConvNeXt
r""" ConvNeXt A PyTorch impl of : `A ConvNet for the 2020s` - https://arxiv.org/pdf/2201.03545.pdf Args: in_chans (int
model/convnext.py:52
↓ 4 callersClassMultiClassificationProcessor
core/dsproc_mcls.py:58
↓ 4 callersClassaugment_inputs_network
toolkit/chelper.py:8
↓ 3 callersClassINFER_API
main_infer.py:69
↓ 3 callersClassLayerNorm
r""" LayerNorm that supports two data formats: channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_
model/convnext.py:119
↓ 3 callersClassRepLKNet
model/replknet.py:203
↓ 2 callersClassMultiClassificationMetric
Computes and stores the average and current value
toolkit/cmetric.py:94
↓ 2 callersClassTrainEngine
core/mengine.py:31
↓ 2 callersClassfinal_model
toolkit/chelper.py:21
↓ 1 callersClassBlock
r""" ConvNeXt Block. There are two equivalent implementations: (1) DwConv -> LayerNorm (channels_first) -> 1x1 Conv -> GELU -> 1x1 Conv; all in (N
model/convnext.py:15
↓ 1 callersClassConvFFN
model/replknet.py:130
↓ 1 callersClassJPEGCompression
toolkit/dtransform.py:11
↓ 1 callersClassMultilabelClassificationMetric
toolkit/cmetric.py:8
↓ 1 callersClassRepLKBlock
model/replknet.py:148
↓ 1 callersClassRepLKNetStage
model/replknet.py:170
↓ 1 callersClassReparamLargeKernelConv
model/replknet.py:76
↓ 1 callersClassSRMConv2d_simple
main_infer.py:25
↓ 1 callersClassSRMConv2d_simple
core/dsproc_mcls.py:14
↓ 1 callersClassSRMConv2d_simple
core/dsproc_mclsmfolder.py:14
ClassCfgNode
CfgNode represents an internal node in the configuration tree. It's a simple dict-like container that allows for attribute-based access to ke
toolkit/yacs.py:63
ClassMultiClassificationProcessor_mfolder
core/dsproc_mclsmfolder.py:58
ClassinputModel
infer_api.py:16