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Types & classes71 in github.com/10Ring/LAA-Net

↓ 12 callersClassAverageMeter
Computes and stores the average and current value
lib/core_function.py:14
↓ 12 callersClassBlock
models/networks/xception.py:49
↓ 5 callersClassConv_block
models/networks/arcface.py:214
↓ 5 callersClassSeparableConv2d
models/networks/xception.py:36
↓ 4 callersClassBinaryCrossEntropy
losses/losses.py:179
↓ 4 callersClassDepth_Wise
models/networks/arcface.py:240
↓ 4 callersClassMemoryEfficientSwish
models/networks/efficientNet.py:427
↓ 4 callersClassRegistry
A registry to map strings to classes or functions. Registered object could be built from registry. Meanwhile, registered functions could be ca
register/register.py:72
↓ 3 callersClassInceptionBlock
models/networks/common.py:31
↓ 3 callersClassLogger
logs/logger.py:16
↓ 3 callersClassResidual
models/networks/arcface.py:261
↓ 2 callersClassBottleneck
A named tuple describing a ResNet block.
models/networks/arcface.py:97
↓ 2 callersClassFlatten
models/networks/arcface.py:22
↓ 2 callersClassLandmarkUtility
package_utils/geo_landmarks_extraction.py:24
↓ 2 callersClassLinear_block
models/networks/arcface.py:228
↓ 2 callersClassMBConvBlock
Mobile Inverted Residual Bottleneck Block. Args: block_args (namedtuple): BlockArgs, defined in utils.py. global_params (namedtupl
models/networks/pose_efficientNet.py:46
↓ 2 callersClassSwish
models/networks/efficientNet.py:36
↓ 1 callersClassBIOnlineGeneration
package_utils/bi_online_generation.py:144
↓ 1 callersClassHighResolutionModule
models/networks/pose_hrnet.py:90
↓ 1 callersClassJointsMSELoss
losses/losses.py:239
↓ 1 callersClassLinearDecayLR
lib/scheduler/linear_decay.py:7
↓ 1 callersClassPoseHighResolutionNet
models/networks/pose_hrnet.py:264
↓ 1 callersClassRandomDownScale
datasets/sbi/utils.py:23
↓ 1 callersClassRandomErasing
datasets/pipelines/geo_transform.py:128
↓ 1 callersClassSAM
lib/optimizers/sam.py:22
↓ 1 callersClassSELayer
models/networks/common.py:60
↓ 1 callersClassSEModule
models/networks/arcface.py:33
↓ 1 callersClasscomponents
Component model mask
package_utils/deepfake_mask.py:96
↓ 1 callersClassdfl_full
DFL facial mask
package_utils/deepfake_mask.py:72
↓ 1 callersClassextended
Extended mask Based on components mask. Attempts to extend the eyebrow points up the forehead
package_utils/deepfake_mask.py:123
↓ 1 callersClassfacehull
Basic face hull mask
package_utils/deepfake_mask.py:167
ClassAm_softmax
models/networks/arcface.py:355
ClassArcface
models/networks/arcface.py:311
ClassBaseLoss
losses/losses.py:130
ClassBasicBlock
models/networks/mrsa_resnet.py:40
ClassBasicBlock
models/networks/pose_hrnet.py:17
ClassBinaryFaceForensic
datasets/face_forensic_binary.py:16
ClassBlockDecoder
Block Decoder for readability, straight from the official TensorFlow repository.
models/networks/efficientNet.py:292
ClassBottleneck
models/networks/mrsa_resnet.py:76
ClassBottleneck
models/networks/pose_hrnet.py:49
ClassCDFV1
datasets/celebDF_v1.py:12
ClassCDFV2
datasets/celebDF_v2.py:12
ClassColorJitterTransform
datasets/pipelines/color_transform.py:11
ClassCombinedFocalLoss
nn.Module warpper for focal loss
losses/losses.py:190
ClassCombinedHeatmapBinaryLoss
losses/losses.py:297
ClassCombinedLoss
losses/losses.py:267
ClassCombinedPolyLoss
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
losses/losses.py:331
ClassCommonDataset
datasets/common.py:24
ClassConv2dDynamicSamePadding
2D Convolutions like TensorFlow, for a dynamic image size. The padding is operated in forward function by calculating dynamically.
models/networks/efficientNet.py:123
ClassConv2dStaticSamePadding
2D Convolutions like TensorFlow's 'SAME' mode, with the given input image size. The padding mudule is calculated in construction function, then
models/networks/efficientNet.py:156
ClassDFD
datasets/dfd.py:11
ClassDFDC
datasets/dfdc.py:11
ClassDFDCP
datasets/dfdcp.py:11
ClassDFW
datasets/dfw.py:11
ClassEfficientNet
EfficientNet model. Most easily loaded with the .from_name or .from_pretrained methods. Args: blocks_args (list[namedtuple]): A lis
models/networks/pose_efficientNet.py:149
ClassFF
datasets/ff.py:12
ClassGeometryTransform
datasets/pipelines/geo_transform.py:19
ClassHeatmapFaceForensic
datasets/face_forensic_hm.py:22
ClassMask
Parent class for masks the output mask will be <mask_type>.mask channels: 1, 3 or 4: 1 - Returns a single channel
package_utils/deepfake_mask.py:32
ClassMasterDataset
datasets/master.py:13
ClassMobileFaceNet
models/networks/arcface.py:273
ClassPoseEfficientNet
models/networks/pose_efficientNet.py:700
ClassPoseResNet
models/networks/mrsa_resnet.py:122
ClassResNet
models/networks/arcface.py:131
ClassSBIFaceForensic
datasets/face_forensic_sbi.py:21
ClassSimpleClassificationDF
models/networks/arcface.py:195
ClassSimpleClassificationHead
models/networks/arcface.py:170
ClassSwishImplementation
models/networks/efficientNet.py:380
ClassXception
Xception optimized for the ImageNet dataset, as specified in https://arxiv.org/pdf/1610.02357.pdf
models/networks/xception.py:102
Classbottleneck_IR
models/networks/arcface.py:54
Classbottleneck_IR_SE
models/networks/arcface.py:73