Shortcuts

MM 系列开源库注册表

(注意:本文档是通过 .dev_scripts/print_registers.py 脚本自动生成)

MMdetection (3.0.0rc6)

MMdetection Module Components
visualizer optimizer constructor loop parameter scheduler data sampler
  • DetLocalVisualizer
  • LearningRateDecayOptimizerConstructor
  • TeacherStudentValLoop
  • QuadraticWarmupParamScheduler
  • QuadraticWarmupLR
  • QuadraticWarmupMomentum
  • AspectRatioBatchSampler
  • ClassAwareSampler
  • MultiSourceSampler
  • GroupMultiSourceSampler
metric hook dataset task util (part 1) task util (part 2)
  • CityScapesMetric
  • CocoMetric
  • CocoOccludedSeparatedMetric
  • CocoPanopticMetric
  • CrowdHumanMetric
  • DumpDetResults
  • DumpProposals
  • LVISMetric
  • OpenImagesMetric
  • VOCMetric
  • CheckInvalidLossHook
  • MeanTeacherHook
  • MemoryProfilerHook
  • NumClassCheckHook
  • PipelineSwitchHook
  • SetEpochInfoHook
  • SyncNormHook
  • DetVisualizationHook
  • YOLOXModeSwitchHook
  • FastStopTrainingHook
  • BaseDetDataset
  • CocoDataset
  • CityscapesDataset
  • CocoPanopticDataset
  • CrowdHumanDataset
  • MultiImageMixDataset
  • DeepFashionDataset
  • LVISV05Dataset
  • LVISDataset
  • LVISV1Dataset
  • Objects365V1Dataset
  • Objects365V2Dataset
  • OpenImagesDataset
  • OpenImagesChallengeDataset
  • XMLDataset
  • VOCDataset
  • WIDERFaceDataset
  • MaxIoUAssigner
  • ApproxMaxIoUAssigner
  • ATSSAssigner
  • CenterRegionAssigner
  • DynamicSoftLabelAssigner
  • GridAssigner
  • HungarianAssigner
  • BboxOverlaps2D
  • BBoxL1Cost
  • IoUCost
  • ClassificationCost
  • FocalLossCost
  • DiceCost
  • CrossEntropyLossCost
  • MultiInstanceAssigner
  • PointAssigner
  • AnchorGenerator
  • SSDAnchorGenerator
  • LegacyAnchorGenerator
  • LegacySSDAnchorGenerator
  • YOLOAnchorGenerator
  • PointGenerator
  • MlvlPointGenerator
  • RegionAssigner
  • SimOTAAssigner
  • TaskAlignedAssigner
  • UniformAssigner
  • BucketingBBoxCoder
  • DeltaXYWHBBoxCoder
task util (part 3) transform (part 1) transform (part 2) transform (part 3)
  • DistancePointBBoxCoder
  • LegacyDeltaXYWHBBoxCoder
  • PseudoBBoxCoder
  • TBLRBBoxCoder
  • YOLOBBoxCoder
  • CombinedSampler
  • RandomSampler
  • InstanceBalancedPosSampler
  • IoUBalancedNegSampler
  • MaskPseudoSampler
  • MultiInsRandomSampler
  • OHEMSampler
  • PseudoSampler
  • ScoreHLRSampler
  • AutoAugment
  • RandAugment
  • ColorTransform
  • Color
  • Brightness
  • Contrast
  • Sharpness
  • Solarize
  • SolarizeAdd
  • Posterize
  • Equalize
  • AutoContrast
  • Invert
  • PackDetInputs
  • ToTensor
  • ImageToTensor
  • Transpose
  • WrapFieldsToLists
  • GeomTransform
  • ShearX
  • ShearY
  • Rotate
  • TranslateX
  • TranslateY
  • InstaBoost
  • LoadImageFromNDArray
  • LoadMultiChannelImageFromFiles
  • LoadAnnotations
  • LoadPanopticAnnotations
  • LoadProposals
  • FilterAnnotations
  • LoadEmptyAnnotations
  • InferencerLoader
  • Resize
  • FixShapeResize
  • RandomFlip
  • RandomShift
  • Pad
  • RandomCrop
  • SegRescale
  • PhotoMetricDistortion
  • Expand
  • MinIoURandomCrop
  • Corrupt
  • Albu
  • RandomCenterCropPad
  • CutOut
  • Mosaic
  • MixUp
  • RandomAffine
  • YOLOXHSVRandomAug
  • CopyPaste
  • RandomErasing
  • CachedMosaic
  • CachedMixUp
  • MultiBranch
  • RandomOrder
  • ProposalBroadcaster
model (part 1) model (part 2) model (part 3) model (part 4)
  • SiLU
  • DropBlock
  • ExpMomentumEMA
  • SinePositionalEncoding
  • LearnedPositionalEncoding
  • DynamicConv
  • MSDeformAttnPixelDecoder
  • Linear
  • NormedLinear
  • NormedConv2d
  • PixelDecoder
  • TransformerEncoderPixelDecoder
  • CSPDarknet
  • CSPNeXt
  • Darknet
  • ResNet
  • ResNetV1d
  • DetectoRS_ResNet
  • DetectoRS_ResNeXt
  • EfficientNet
  • HourglassNet
  • HRNet
  • MobileNetV2
  • PyramidVisionTransformer
  • PyramidVisionTransformerV2
  • ResNeXt
  • RegNet
  • Res2Net
  • ResNeSt
  • BFP
  • ChannelMapper
  • CSPNeXtPAFPN
  • CTResNetNeck
  • DilatedEncoder
  • DyHead
  • FPG
  • FPN
  • FPN_CARAFE
  • HRFPN
  • NASFPN
  • NASFCOS_FPN
  • PAFPN
  • RFP
  • SSDNeck
  • SSH
  • YOLOV3Neck
  • YOLOXPAFPN
  • SSDVGG
  • SwinTransformer
  • TridentResNet
  • DetDataPreprocessor
  • BatchSyncRandomResize
  • BatchFixedSizePad
  • MultiBranchDataPreprocessor
  • BatchResize
  • BoxInstDataPreprocessor
  • AnchorFreeHead
  • AnchorHead
  • ATSSHead
  • FCOSHead
  • AutoAssignHead
  • CondInstBboxHead
  • CondInstMaskHead
  • BoxInstBboxHead
  • BoxInstMaskHead
  • RPNHead
  • StageCascadeRPNHead
  • CascadeRPNHead
  • CenterNetHead
  • CenterNetUpdateHead
  • CornerHead
  • CentripetalHead
  • DETRHead
  • ConditionalDETRHead
  • DABDETRHead
  • DDODHead
  • DeformableDETRHead
  • DINOHead
  • EmbeddingRPNHead
  • FoveaHead
model (part 5) model (part 6) model (part 7) model (part 8)
  • RetinaHead
  • FreeAnchorRetinaHead
  • AssociativeEmbeddingLoss
  • BalancedL1Loss
  • CrossEntropyLoss
  • DiceLoss
  • FocalLoss
  • GaussianFocalLoss
  • QualityFocalLoss
  • DistributionFocalLoss
  • GHMC
  • GHMR
  • IoULoss
  • BoundedIoULoss
  • GIoULoss
  • DIoULoss
  • CIoULoss
  • EIoULoss
  • KnowledgeDistillationKLDivLoss
  • MSELoss
  • SeesawLoss
  • SmoothL1Loss
  • L1Loss
  • VarifocalLoss
  • FSAFHead
  • GuidedAnchorHead
  • GARetinaHead
  • GARPNHead
  • GFLHead
  • PAAHead
  • LADHead
  • LDHead
  • MaskFormerHead
  • Mask2FormerHead
  • NASFCOSHead
  • PISARetinaHead
  • SSDHead
  • PISASSDHead
  • RepPointsHead
  • RetinaSepBNHead
  • RTMDetHead
  • RTMDetSepBNHead
  • RTMDetInsHead
  • RTMDetInsSepBNHead
  • SABLRetinaHead
  • SOLOHead
  • DecoupledSOLOHead
  • DecoupledSOLOLightHead
  • SOLOV2Head
  • TOODHead
  • VFNetHead
  • YOLACTHead
  • YOLACTProtonet
  • YOLOV3Head
  • YOLOFHead
  • YOLOXHead
  • SingleStageDetector
  • ATSS
  • AutoAssign
  • DetectionTransformer
  • SingleStageInstanceSegmentor
  • BoxInst
  • TwoStageDetector
  • CascadeRCNN
  • CenterNet
  • CondInst
  • DETR
  • ConditionalDETR
  • CornerNet
  • CrowdDet
  • Detectron2Wrapper
  • DABDETR
  • DDOD
  • DeformableDETR
  • DINO
  • FastRCNN
  • FasterRCNN
  • FCOS
model (part 9) model (part 10) model (part 11) model (part 12)
  • FOVEA
  • FSAF
  • GFL
  • GridRCNN
  • HybridTaskCascade
  • KnowledgeDistillationSingleStageDetector
  • LAD
  • MaskFormer
  • Mask2Former
  • MaskRCNN
  • MaskScoringRCNN
  • NASFCOS
  • PAA
  • TwoStagePanopticSegmentor
  • PanopticFPN
  • PointRend
  • SparseRCNN
  • QueryInst
  • RepPointsDetector
  • RetinaNet
  • RPN
  • RTMDet
  • SCNet
  • SemiBaseDetector
  • SoftTeacher
  • SOLO
  • SOLOv2
  • TOOD
  • TridentFasterRCNN
  • VFNet
  • YOLACT
  • YOLOV3
  • YOLOF
  • YOLOX
  • BBoxHead
  • ConvFCBBoxHead
  • Shared2FCBBoxHead
  • Shared4Conv1FCBBoxHead
  • DIIHead
  • DoubleConvFCBBoxHead
  • MultiInstanceBBoxHead
  • SABLHead
  • SCNetBBoxHead
  • CascadeRoIHead
  • StandardRoIHead
  • DoubleHeadRoIHead
  • DynamicRoIHead
  • GridRoIHead
  • HybridTaskCascadeRoIHead
  • FCNMaskHead
  • CoarseMaskHead
  • DynamicMaskHead
  • FeatureRelayHead
  • FusedSemanticHead
  • GlobalContextHead
  • GridHead
  • HTCMaskHead
  • MaskPointHead
  • MaskIoUHead
  • SCNetMaskHead
  • SCNetSemanticHead
  • MaskScoringRoIHead
  • MultiInstanceRoIHead
  • PISARoIHead
  • PointRendRoIHead
  • GenericRoIExtractor
  • SingleRoIExtractor
  • SCNetRoIHead
  • ResLayer
  • SparseRoIHead
  • TridentRoIHead
  • BaseSemanticHead
  • PanopticFPNHead
  • BasePanopticFusionHead
  • HeuristicFusionHead
  • MaskFormerFusionHead
MMdetection Tools
tools/dataset_converters tools/deployment tools tools/misc
  • pascal_voc.py
  • images2coco.py
  • cityscapes.py
  • mmdet2torchserve.py
  • test_torchserver.py
  • mmdet_handler.py
  • dist_test.sh
  • slurm_test.sh
  • test.py
  • dist_train.sh
  • train.py
  • slurm_train.sh
  • download_dataset.py
  • get_image_metas.py
  • gen_coco_panoptic_test_info.py
  • split_coco.py
  • get_crowdhuman_id_hw.py
  • print_config.py
tools/model_converters tools/analysis_tools .dev_scripts (part 1) .dev_scripts (part 2)
  • upgrade_model_version.py
  • upgrade_ssd_version.py
  • detectron2_to_mmdet.py
  • selfsup2mmdet.py
  • detectron2pytorch.py
  • regnet2mmdet.py
  • publish_model.py
  • benchmark.py
  • eval_metric.py
  • robustness_eval.py
  • confusion_matrix.py
  • optimize_anchors.py
  • browse_dataset.py
  • test_robustness.py
  • coco_error_analysis.py
  • coco_occluded_separated_recall.py
  • analyze_results.py
  • analyze_logs.py
  • get_flops.py
  • convert_test_benchmark_script.py
  • gather_test_benchmark_metric.py
  • benchmark_valid_flops.py
  • benchmark_train.py
  • test_benchmark.sh
  • download_checkpoints.py
  • benchmark_test_image.py
  • covignore.cfg
  • benchmark_full_models.txt
  • test_init_backbone.py
  • batch_train_list.txt
  • diff_coverage_test.sh
  • batch_test_list.py
  • linter.sh
  • gather_train_benchmark_metric.py
  • train_benchmark.sh
  • benchmark_inference_fps.py
  • benchmark_options.py
  • check_links.py
  • benchmark_test.py
  • benchmark_train_models.txt
  • convert_train_benchmark_script.py
  • gather_models.py
  • benchmark_filter.py

MMclassification (1.0.0rc5)

MMclassification Module Components
visualizer data sampler optimizer batch augment metric
  • ClsVisualizer
  • RepeatAugSampler
  • Adan
  • Lamb
  • Mixup
  • CutMix
  • ResizeMix
  • Accuracy
  • SingleLabelMetric
  • MultiLabelMetric
  • AveragePrecision
  • MultiTasksMetric
  • VOCMultiLabelMetric
  • VOCAveragePrecision
hook dataset transform (part 1) transform (part 2)
  • ClassNumCheckHook
  • EMAHook
  • SetAdaptiveMarginsHook
  • PreciseBNHook
  • PrepareProtoBeforeValLoopHook
  • SwitchRecipeHook
  • VisualizationHook
  • BaseDataset
  • CIFAR10
  • CIFAR100
  • CUB
  • CustomDataset
  • KFoldDataset
  • ImageNet
  • ImageNet21k
  • MNIST
  • FashionMNIST
  • MultiLabelDataset
  • MultiTaskDataset
  • VOC
  • AutoAugment
  • RandAugment
  • Shear
  • Translate
  • Rotate
  • AutoContrast
  • Invert
  • Equalize
  • Solarize
  • SolarizeAdd
  • Posterize
  • Contrast
  • ColorTransform
  • Brightness
  • Sharpness
  • Cutout
  • PackClsInputs
  • PackMultiTaskInputs
  • Transpose
  • ToPIL
  • ToNumpy
  • Collect
  • RandomCrop
  • RandomResizedCrop
  • EfficientNetRandomCrop
  • RandomErasing
  • EfficientNetCenterCrop
  • ResizeEdge
  • ColorJitter
  • Lighting
  • Albumentations
  • Albu
model (part 1) model (part 2) model (part 3) model (part 4)
  • AlexNet
  • ShiftWindowMSA
  • ClsDataPreprocessor
  • VisionTransformer
  • BEiT
  • Conformer
  • ConvMixer
  • ResNet
  • ResNetV1c
  • ResNetV1d
  • ResNeXt
  • CSPDarkNet
  • CSPResNet
  • CSPResNeXt
  • DaViT
  • DistilledVisionTransformer
  • DeiT3
  • DenseNet
  • PoolFormer
  • EfficientFormer
  • EfficientNet
  • EfficientNetV2
  • HorNet
  • HRNet
  • InceptionV3
  • LeNet5
  • MixMIMTransformer
  • MlpMixer
  • MobileNetV2
  • MobileNetV3
  • MobileOne
  • MViT
  • RegNet
  • RepLKNet
  • RepMLPNet
  • RepVGG
  • Res2Net
  • ResNeSt
  • ResNet_CIFAR
  • RevVisionTransformer
  • SEResNet
  • SEResNeXt
  • ShuffleNetV1
  • ShuffleNetV2
  • SwinTransformer
  • SwinTransformerV2
  • T2T_ViT
  • TIMMBackbone
  • TNT
  • PCPVT
  • SVT
  • VAN
  • VGG
  • HuggingFaceClassifier
  • ImageClassifier
  • TimmClassifier
  • ClsHead
  • ConformerHead
  • VisionTransformerClsHead
  • DeiTClsHead
  • EfficientFormerClsHead
  • LinearClsHead
  • AsymmetricLoss
  • CrossEntropyLoss
  • FocalLoss
  • LabelSmoothLoss
  • SeesawLoss
  • ArcFaceClsHead
  • MultiLabelClsHead
  • CSRAClsHead
  • MultiLabelLinearClsHead
  • MultiTaskHead
  • StackedLinearClsHead
  • GlobalAveragePooling
  • GeneralizedMeanPooling
  • HRFuseScales
  • LinearReduction
  • ImageToImageRetriever
  • AverageClsScoreTTA
MMclassification Tools
tools/misc tools/visualizations tools/torchserve .dev_scripts tools/analysis_tools
  • verify_dataset.py
  • print_config.py
  • browse_dataset.py
  • vis_scheduler.py
  • vis_cam.py
  • mmcls_handler.py
  • mmcls2torchserve.py
  • test_torchserver.py
  • compare_init.py
  • ckpt_tree.py
  • generate_readme.py
  • eval_metric.py
  • analyze_results.py
  • analyze_logs.py
  • get_flops.py
.dev_scripts/benchmark_regression tools tools/model_converters (part 1) tools/model_converters (part 2)
  • bench_train.yml
  • 4-benchmark_speed.py
  • 3-benchmark_train.py
  • 1-benchmark_valid.py
  • 2-benchmark_test.py
  • dist_test.sh
  • slurm_test.sh
  • test.py
  • dist_train.sh
  • train.py
  • slurm_train.sh
  • kfold-cross-valid.py
  • efficientnet_to_mmcls.py
  • repvgg_to_mmcls.py
  • clip_to_mmcls.py
  • reparameterize_model.py
  • shufflenetv2_to_mmcls.py
  • van2mmcls.py
  • hornet2mmcls.py
  • mixmimx_to_mmcls.py
  • edgenext_to_mmcls.py
  • torchvision_to_mmcls.py
  • twins2mmcls.py
  • revvit_to_mmcls.py
  • convnext_to_mmcls.py
  • replknet_to_mmcls.py
  • efficientnetv2_to_mmcls.py
  • mobilenetv2_to_mmcls.py
  • mlpmixer_to_mmcls.py
  • davit_to_mmcls.py
  • vgg_to_mmcls.py
  • deit3_to_mmcls.py
  • eva_to_mmcls.py
  • publish_model.py
  • tinyvit_to_mmcls.py

MMsegmentation (1.0.0rc5)

MMsegmentation Module Components
task util visualizer hook optimizer wrapper constructor metric
  • OHEMPixelSampler
  • SegLocalVisualizer
  • SegVisualizationHook
  • LearningRateDecayOptimizerConstructor
  • LayerDecayOptimizerConstructor
  • CitysMetric
  • IoUMetric
dataset (part 1) dataset (part 2) transform (part 1) transform (part 2)
  • BaseSegDataset
  • ADE20KDataset
  • ChaseDB1Dataset
  • CityscapesDataset
  • COCOStuffDataset
  • DarkZurichDataset
  • MultiImageMixDataset
  • DecathlonDataset
  • DRIVEDataset
  • HRFDataset
  • iSAIDDataset
  • ISPRSDataset
  • LIPDataset
  • LoveDADataset
  • NightDrivingDataset
  • PascalContextDataset
  • PascalContextDataset59
  • PotsdamDataset
  • STAREDataset
  • SynapseDataset
  • PascalVOCDataset
  • PackSegInputs
  • LoadAnnotations
  • LoadImageFromNDArray
  • LoadBiomedicalImageFromFile
  • LoadBiomedicalAnnotation
  • LoadBiomedicalData
  • ResizeToMultiple
  • Rerange
  • CLAHE
  • RandomCrop
  • RandomRotate
  • RGB2Gray
  • AdjustGamma
  • SegRescale
  • PhotoMetricDistortion
  • RandomCutOut
  • RandomRotFlip
  • RandomMosaic
  • GenerateEdge
  • ResizeShortestEdge
  • BioMedical3DRandomCrop
  • BioMedicalGaussianNoise
  • BioMedicalGaussianBlur
  • BioMedicalRandomGamma
  • BioMedical3DPad
  • BioMedical3DRandomFlip
model (part 1) model (part 2) model (part 3) model (part 4)
  • VisionTransformer
  • BEiT
  • BiSeNetV1
  • BiSeNetV2
  • CGNet
  • ERFNet
  • CrossEntropyLoss
  • DiceLoss
  • FocalLoss
  • LovaszLoss
  • TverskyLoss
  • ANNHead
  • APCHead
  • ASPPHead
  • FCNHead
  • CCHead
  • DAHead
  • DMHead
  • DNLHead
  • DPTHead
  • EMAHead
  • EncHead
  • FPNHead
  • GCHead
  • ISAHead
  • KernelUpdator
  • KernelUpdateHead
  • IterativeDecodeHead
  • LRASPPHead
  • Mask2FormerHead
  • MaskFormerHead
  • NLHead
  • OCRHead
  • PointHead
  • PSAHead
  • PSPHead
  • SegformerHead
  • SegmenterMaskTransformerHead
  • DepthwiseSeparableASPPHead
  • DepthwiseSeparableFCNHead
  • SETRMLAHead
  • SETRUPHead
  • STDCHead
  • UPerHead
  • FastSCNN
  • ResNet
  • ResNetV1c
  • ResNetV1d
  • HRNet
  • ICNet
  • MAE
  • MixVisionTransformer
  • MobileNetV2
  • MobileNetV3
  • ResNeSt
  • ResNeXt
  • STDCNet
  • STDCContextPathNet
  • SwinTransformer
  • TIMMBackbone
  • PCPVT
  • SVT
  • DeconvModule
  • InterpConv
  • UNet
  • SegDataPreProcessor
  • Feature2Pyramid
  • FPN
  • ICNeck
  • JPU
  • MLANeck
  • MultiLevelNeck
  • EncoderDecoder
  • CascadeEncoderDecoder
  • SegTTAModel
MMsegmentation Tools
tools/deployment tools/misc tools/torchserve tools/analysis_tools
  • pytorch2torchscript.py
  • browse_dataset.py
  • publish_model.py
  • print_config.py
  • mmseg_handler.py
  • mmseg2torchserve.py
  • test_torchserve.py
  • benchmark.py
  • confusion_matrix.py
  • analyze_logs.py
  • get_flops.py
tools tools/model_converters tools/dataset_converters
  • dist_test.sh
  • slurm_test.sh
  • test.py
  • dist_train.sh
  • train.py
  • slurm_train.sh
  • swin2mmseg.py
  • vitjax2mmseg.py
  • twins2mmseg.py
  • stdc2mmseg.py
  • vit2mmseg.py
  • mit2mmseg.py
  • beit2mmseg.py
  • voc_aug.py
  • hrf.py
  • drive.py
  • pascal_context.py
  • vaihingen.py
  • stare.py
  • synapse.py
  • isaid.py
  • cityscapes.py
  • loveda.py
  • potsdam.py
  • chase_db1.py
  • coco_stuff164k.py
  • coco_stuff10k.py

MMengine (0.6.0)

MMengine Module Components
log_processor visualizer metric evaluator runner
  • LogProcessor
  • Visualizer
  • DumpResults
  • Evaluator
  • Runner
optimizer wrapper constructor Collate Functions data sampler vis_backend dataset
  • DefaultOptimWrapperConstructor
  • pseudo_collate
  • default_collate
  • DefaultSampler
  • InfiniteSampler
  • LocalVisBackend
  • WandbVisBackend
  • TensorboardVisBackend
  • ConcatDataset
  • RepeatDataset
  • ClassBalancedDataset
optim_wrapper loop model_wrapper model weight initializer
  • OptimWrapper
  • AmpOptimWrapper
  • ApexOptimWrapper
  • EpochBasedTrainLoop
  • IterBasedTrainLoop
  • ValLoop
  • TestLoop
  • DistributedDataParallel
  • DataParallel
  • MMDistributedDataParallel
  • MMSeparateDistributedDataParallel
  • StochasticWeightAverage
  • ExponentialMovingAverage
  • MomentumAnnealingEMA
  • BaseDataPreprocessor
  • ImgDataPreprocessor
  • BaseTTAModel
  • ToyModel
  • Constant
  • Xavier
  • Normal
  • TruncNormal
  • Uniform
  • Kaiming
  • Caffe2Xavier
  • Pretrained
hook optimizer parameter scheduler (part 1) parameter scheduler (part 2)
  • CheckpointHook
  • EMAHook
  • EmptyCacheHook
  • IterTimerHook
  • LoggerHook
  • NaiveVisualizationHook
  • ParamSchedulerHook
  • ProfilerHook
  • NPUProfilerHook
  • RuntimeInfoHook
  • DistSamplerSeedHook
  • SyncBuffersHook
  • PrepareTTAHook
  • ASGD
  • Adadelta
  • Adagrad
  • Adam
  • AdamW
  • Adamax
  • LBFGS
  • Optimizer
  • RMSprop
  • Rprop
  • SGD
  • SparseAdam
  • ZeroRedundancyOptimizer
  • StepParamScheduler
  • MultiStepParamScheduler
  • ConstantParamScheduler
  • ExponentialParamScheduler
  • CosineAnnealingParamScheduler
  • LinearParamScheduler
  • PolyParamScheduler
  • OneCycleParamScheduler
  • CosineRestartParamScheduler
  • ReduceOnPlateauParamScheduler
  • ConstantLR
  • CosineAnnealingLR
  • ExponentialLR
  • LinearLR
  • MultiStepLR
  • StepLR
  • PolyLR
  • OneCycleLR
  • CosineRestartLR
  • ReduceOnPlateauLR
  • ConstantMomentum
  • CosineAnnealingMomentum
  • ExponentialMomentum
  • LinearMomentum
  • MultiStepMomentum
  • StepMomentum
  • PolyMomentum
  • CosineRestartMomentum
  • ReduceOnPlateauMomentum

MMCV (2.0.0rc4)

MMCV Module Components
transform model (part 1) model (part 2) model (part 3)
  • LoadImageFromFile
  • LoadAnnotations
  • Compose
  • KeyMapper
  • TransformBroadcaster
  • RandomChoice
  • RandomApply
  • Normalize
  • Resize
  • Pad
  • CenterCrop
  • RandomGrayscale
  • MultiScaleFlipAug
  • TestTimeAug
  • RandomChoiceResize
  • RandomFlip
  • RandomResize
  • ToTensor
  • ImageToTensor
  • ReLU
  • LeakyReLU
  • PReLU
  • RReLU
  • ReLU6
  • ELU
  • Sigmoid
  • Tanh
  • SiLU
  • Clamp
  • Clip
  • GELU
  • ContextBlock
  • Conv1d
  • Conv2d
  • Conv3d
  • Conv
  • Conv2dAdaptivePadding
  • BN
  • BN1d
  • BN2d
  • BN3d
  • SyncBN
  • GN
  • LN
  • IN
  • IN1d
  • IN2d
  • IN3d
  • zero
  • reflect
  • replicate
  • ConvModule
  • ConvWS
  • ConvAWS
  • DropPath
  • Dropout
  • GeneralizedAttention
  • HSigmoid
  • HSwish
  • NonLocal2d
  • Swish
  • nearest
  • bilinear
  • pixel_shuffle
  • deconv
  • ConvTranspose2d
  • deconv3d
  • ConvTranspose3d
  • MultiheadAttention
  • FFN
  • BaseTransformerLayer
  • TransformerLayerSequence
MMCV Tools
.dev_scripts
  • check_installation.py
Read the Docs v: latest
Versions
latest
stable
dev
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.