Index _ | A | B | C | D | E | F | G | I | J | K | L | M | N | O | P | R | S | T | U | V | W _ _DepthInputFields (class in anomalib.data.dataclasses.generic) _GenericBatch (class in anomalib.data.dataclasses.generic) _GenericItem (class in anomalib.data.dataclasses.generic) _ImageInputFields (class in anomalib.data.dataclasses.generic) _InputFields (class in anomalib.data.dataclasses.generic) _OutputFields (class in anomalib.data.dataclasses.generic) _patch_embeddings (anomalib.models.image.winclip.torch_model.WinClipModel attribute) _text_embeddings (anomalib.models.image.winclip.torch_model.WinClipModel attribute) _VideoInputFields (class in anomalib.data.dataclasses.generic) _visual_embeddings (anomalib.models.image.winclip.torch_model.WinClipModel attribute) A ABNORMAL (anomalib.data.utils.label.LabelName attribute) (anomalib.data.utils.path.DirType attribute) ABNORMAL_DEPTH (anomalib.data.utils.path.DirType attribute) add_arguments_to_parser() (anomalib.cli.cli.AnomalibCLI static method) add_export_arguments() (anomalib.cli.cli.AnomalibCLI method) add_image() (anomalib.loggers.comet.AnomalibCometLogger method) (anomalib.loggers.mlflow.AnomalibMLFlowLogger method) (anomalib.loggers.tensorboard.AnomalibTensorBoardLogger method) (anomalib.loggers.wandb.AnomalibWandbLogger method) add_predict_arguments() (anomalib.cli.cli.AnomalibCLI method) add_subcommands() (anomalib.cli.cli.AnomalibCLI method) add_train_arguments() (anomalib.cli.cli.AnomalibCLI method) add_trainer_arguments() (anomalib.cli.cli.AnomalibCLI method) AffineCouplingSubnet (class in anomalib.models.image.uflow.torch_model) AiVad (class in anomalib.models.video.ai_vad.lightning_model) AiVadModel (class in anomalib.models.video.ai_vad.torch_model) AllInOneBlock (class in anomalib.models.components.flow) anomalib.callbacks.checkpoint module anomalib.callbacks.graph module anomalib.callbacks.model_loader module anomalib.callbacks.timer module anomalib.cli.cli module anomalib.data module, [1] anomalib.data.datamodules.base.image module anomalib.data.datamodules.base.video module anomalib.data.datamodules.depth.folder_3d module anomalib.data.datamodules.depth.mvtec_3d module anomalib.data.datamodules.image.btech module anomalib.data.datamodules.image.datumaro module anomalib.data.datamodules.image.folder module anomalib.data.datamodules.image.kolektor module anomalib.data.datamodules.image.mvtec module anomalib.data.datamodules.image.visa module anomalib.data.datamodules.video.avenue module anomalib.data.datamodules.video.shanghaitech module anomalib.data.datamodules.video.ucsd_ped module anomalib.data.utils.boxes module anomalib.data.utils.download module anomalib.data.utils.generators module anomalib.data.utils.image module anomalib.data.utils.label module anomalib.data.utils.path module anomalib.data.utils.split module anomalib.data.utils.synthetic module anomalib.data.utils.tiler module anomalib.data.utils.video module anomalib.deploy module anomalib.loggers.comet module anomalib.loggers.mlflow module anomalib.loggers.tensorboard module anomalib.loggers.wandb module anomalib.metrics module anomalib.models.components.classification module anomalib.models.components.cluster module anomalib.models.components.dimensionality_reduction module anomalib.models.components.feature_extractors module anomalib.models.components.filters module anomalib.models.components.flow module anomalib.models.components.sampling module anomalib.models.components.stats module anomalib.models.image.cfa.anomaly_map module anomalib.models.image.cfa.lightning_model module anomalib.models.image.cfa.loss module anomalib.models.image.cfa.torch_model module anomalib.models.image.cflow.anomaly_map module anomalib.models.image.cflow.lightning_model module anomalib.models.image.cflow.torch_model module anomalib.models.image.csflow.anomaly_map module anomalib.models.image.csflow.lightning_model module anomalib.models.image.csflow.loss module anomalib.models.image.csflow.torch_model module anomalib.models.image.dfkde.lightning_model module anomalib.models.image.dfkde.torch_model module anomalib.models.image.dfm.lightning_model module anomalib.models.image.dfm.torch_model module anomalib.models.image.draem.lightning_model module anomalib.models.image.draem.loss module anomalib.models.image.draem.torch_model module anomalib.models.image.dsr.anomaly_generator module anomalib.models.image.dsr.lightning_model module anomalib.models.image.dsr.loss module anomalib.models.image.dsr.torch_model module anomalib.models.image.efficient_ad.lightning_model module anomalib.models.image.efficient_ad.torch_model module anomalib.models.image.fastflow.anomaly_map module anomalib.models.image.fastflow.lightning_model module anomalib.models.image.fastflow.loss module anomalib.models.image.fastflow.torch_model module anomalib.models.image.fre.lightning_model module anomalib.models.image.fre.torch_model module anomalib.models.image.ganomaly.lightning_model module anomalib.models.image.ganomaly.loss module anomalib.models.image.ganomaly.torch_model module anomalib.models.image.padim.lightning_model module anomalib.models.image.padim.torch_model module anomalib.models.image.patchcore.lightning_model module anomalib.models.image.patchcore.torch_model module anomalib.models.image.reverse_distillation.anomaly_map module anomalib.models.image.reverse_distillation.lightning_model module anomalib.models.image.reverse_distillation.loss module anomalib.models.image.reverse_distillation.torch_model module anomalib.models.image.stfpm.anomaly_map module anomalib.models.image.stfpm.lightning_model module anomalib.models.image.stfpm.loss module anomalib.models.image.stfpm.torch_model module anomalib.models.image.supersimplenet.anomaly_generator module anomalib.models.image.supersimplenet.lightning_model module anomalib.models.image.supersimplenet.torch_model module anomalib.models.image.uflow.anomaly_map module anomalib.models.image.uflow.lightning_model module anomalib.models.image.uflow.torch_model module anomalib.models.image.vlm_ad module anomalib.models.image.winclip.lightning_model module anomalib.models.image.winclip.torch_model module anomalib.models.video.ai_vad.density module anomalib.models.video.ai_vad.features module anomalib.models.video.ai_vad.flow module anomalib.models.video.ai_vad.lightning_model module anomalib.models.video.ai_vad.regions module anomalib.models.video.ai_vad.torch_model module anomalib.pipelines.components.base.pipeline module anomalib.pipelines.components.runners.parallel module anomalib.pipelines.components.runners.serial module anomalib.post_processing.base module anomalib.post_processing.one_class module anomalib.pre_processing module anomalib_subcommands() (anomalib.cli.cli.AnomalibCLI static method) AnomalibCLI (class in anomalib.cli.cli) AnomalibCometLogger (class in anomalib.loggers.comet) AnomalibDataModule (class in anomalib.data.datamodules.base.image) AnomalibMetric (class in anomalib.metrics) AnomalibMLFlowLogger (class in anomalib.loggers.mlflow) AnomalibTensorBoardLogger (class in anomalib.loggers.tensorboard) AnomalibVideoDataModule (class in anomalib.data.datamodules.base.video) AnomalibWandbLogger (class in anomalib.loggers.wandb) anomaly_map (anomalib.data.dataclasses.generic._OutputFields attribute) (anomalib.data.dataclasses.torch.InferenceBatch attribute) anomaly_map_generator (anomalib.models.image.patchcore.torch_model.PatchcoreModel attribute) (anomalib.models.image.reverse_distillation.torch_model.ReverseDistillationModel attribute) (anomalib.models.image.stfpm.torch_model.STFPMModel attribute) AnomalyDetectionModule (class in anomalib.models.image.dsr.torch_model) AnomalyGenerator (class in anomalib.models.image.supersimplenet.anomaly_generator) AnomalyMapGenerationMode (class in anomalib.models.image.reverse_distillation.anomaly_map) AnomalyMapGenerator (class in anomalib.models.image.cfa.anomaly_map) (class in anomalib.models.image.cflow.anomaly_map) (class in anomalib.models.image.csflow.anomaly_map) (class in anomalib.models.image.fastflow.anomaly_map) (class in anomalib.models.image.reverse_distillation.anomaly_map) (class in anomalib.models.image.stfpm.anomaly_map) (class in anomalib.models.image.supersimplenet.torch_model) (class in anomalib.models.image.uflow.anomaly_map) AnomalyMapMode (class in anomalib.models.image.csflow.anomaly_map) AnomalyScoreDistribution (class in anomalib.metrics) apply_cls1_split() (anomalib.data.datamodules.image.visa.Visa method) (anomalib.data.Visa method) augment_batch() (anomalib.models.image.dsr.anomaly_generator.DsrAnomalyGenerator method) AUPIMO (class in anomalib.metrics) AUPR (class in anomalib.metrics) AUPRO (class in anomalib.metrics) AUROC (class in anomalib.metrics) Avenue (class in anomalib.data) (class in anomalib.data.datamodules.video.avenue) B backbone (anomalib.models.components.feature_extractors.TimmFeatureExtractor attribute) BackboneParams (class in anomalib.models.components.feature_extractors) backward() (anomalib.models.image.cfa.lightning_model.Cfa static method) BaseDensityEstimator (class in anomalib.models.video.ai_vad.density) Batch (class in anomalib.data.dataclasses.torch) batch_size (anomalib.data.dataclasses.generic.BatchIterateMixin property) BatchIterateMixin (class in anomalib.data.dataclasses.generic) before_instantiate_classes() (anomalib.cli.cli.AnomalibCLI method) Benchmark (class in anomalib.pipelines.benchmark.pipeline) BenchmarkJob (class in anomalib.pipelines.benchmark.job) BenchmarkJobGenerator (class in anomalib.pipelines.benchmark.generator) best_model_path (anomalib.engine.engine.Engine property) BinaryPrecisionRecallCurve (class in anomalib.metrics) binomial_test() (anomalib.models.image.uflow.anomaly_map.AnomalyMapGenerator static method) bottleneck (anomalib.models.image.reverse_distillation.torch_model.ReverseDistillationModel attribute) boxes_to_anomaly_maps() (in module anomalib.data.utils.boxes) boxes_to_masks() (in module anomalib.data.utils.boxes) BTech (class in anomalib.data) (class in anomalib.data.datamodules.image.btech) build_flow() (anomalib.models.image.uflow.torch_model.UflowModel method) build_flow_stage() (anomalib.models.image.uflow.torch_model.UflowModel method) C category (anomalib.data.datamodules.base.image.AnomalibDataModule property) Cfa (class in anomalib.models.image.cfa.lightning_model) CfaLoss (class in anomalib.models.image.cfa.loss) CfaModel (class in anomalib.models.image.cfa.torch_model) Cflow (class in anomalib.models.image.cflow.lightning_model) CflowModel (class in anomalib.models.image.cflow.torch_model) check_hash() (in module anomalib.data.utils.download) checkpoint_callback (anomalib.engine.engine.Engine property) choose_random_aug_image() (anomalib.models.image.efficient_ad.torch_model.EfficientAdModel static method) clip (anomalib.models.image.winclip.torch_model.WinClipModel attribute) ClipsIndexer (class in anomalib.data.utils.video) cluster_centers_ (anomalib.models.components.cluster.KMeans attribute) collate() (anomalib.data.dataclasses.generic.BatchIterateMixin class method) collect() (anomalib.pipelines.benchmark.job.BenchmarkJob static method) (anomalib.pipelines.components.base.job.Job static method) collect_reference_images() (anomalib.models.image.vlm_ad.VlmAd method) (anomalib.models.image.winclip.lightning_model.WinClip method) CombinedDensityEstimator (class in anomalib.models.video.ai_vad.density) CompressionType (class in anomalib.deploy) compute() (anomalib.metrics.AnomalyScoreDistribution method) (anomalib.metrics.F1AdaptiveThreshold method) (anomalib.metrics.ManualThreshold method) (anomalib.metrics.MinMax method) compute_anomaly_map() (anomalib.models.image.cfa.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.cflow.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.stfpm.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.uflow.anomaly_map.AnomalyMapGenerator method) compute_anomaly_mask() (anomalib.models.image.uflow.anomaly_map.AnomalyMapGenerator method) compute_anomaly_score() (anomalib.models.image.patchcore.torch_model.PatchcoreModel method) compute_distance() (anomalib.models.image.cfa.torch_model.CfaModel method) compute_kde_scores() (anomalib.models.components.classification.KDEClassifier method) compute_layer_loss() (anomalib.models.image.stfpm.loss.STFPMLoss method) compute_layer_map() (anomalib.models.image.stfpm.anomaly_map.AnomalyMapGenerator static method) compute_losses() (anomalib.models.image.efficient_ad.torch_model.EfficientAdModel method) compute_maps() (anomalib.models.image.efficient_ad.torch_model.EfficientAdModel method) compute_new_image_size() (in module anomalib.data.utils.tiler) compute_probabilities() (anomalib.models.components.classification.KDEClassifier static method) compute_score() (anomalib.models.image.cfa.anomaly_map.AnomalyMapGenerator method) compute_student_teacher_distance() (anomalib.models.image.efficient_ad.torch_model.EfficientAdModel method) concatenate_datasets() (in module anomalib.data.utils.split) configure_evaluator() (anomalib.models.image.dfkde.lightning_model.Dfkde static method) (anomalib.models.image.fastflow.lightning_model.Fastflow static method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly static method) (anomalib.models.image.vlm_ad.VlmAd static method) configure_optimizers() (anomalib.models.image.cfa.lightning_model.Cfa method) (anomalib.models.image.cflow.lightning_model.Cflow method) (anomalib.models.image.csflow.lightning_model.Csflow method) (anomalib.models.image.dfkde.lightning_model.Dfkde static method) (anomalib.models.image.dfm.lightning_model.Dfm static method) (anomalib.models.image.draem.lightning_model.Draem method) (anomalib.models.image.dsr.lightning_model.Dsr method) (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) (anomalib.models.image.fastflow.lightning_model.Fastflow method) (anomalib.models.image.fre.lightning_model.Fre method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) (anomalib.models.image.padim.lightning_model.Padim static method) (anomalib.models.image.patchcore.lightning_model.Patchcore static method) (anomalib.models.image.reverse_distillation.lightning_model.ReverseDistillation method) (anomalib.models.image.stfpm.lightning_model.Stfpm method) (anomalib.models.image.supersimplenet.lightning_model.Supersimplenet method) (anomalib.models.image.uflow.lightning_model.Uflow method) (anomalib.models.image.winclip.lightning_model.WinClip static method) (anomalib.models.video.ai_vad.lightning_model.AiVad static method) configure_post_processor() (anomalib.models.image.padim.lightning_model.Padim static method) (anomalib.models.image.patchcore.lightning_model.Patchcore static method) (anomalib.models.image.vlm_ad.VlmAd class method) (anomalib.models.image.winclip.lightning_model.WinClip static method) (anomalib.models.video.ai_vad.lightning_model.AiVad static method) configure_pre_processor() (anomalib.models.image.efficient_ad.lightning_model.EfficientAd class method) (anomalib.models.image.patchcore.lightning_model.Patchcore class method) (anomalib.models.image.supersimplenet.lightning_model.Supersimplenet class method) (anomalib.models.image.uflow.lightning_model.Uflow class method) (anomalib.models.image.winclip.lightning_model.WinClip class method) (anomalib.models.video.ai_vad.lightning_model.AiVad class method) configure_transforms() (anomalib.models.image.draem.lightning_model.Draem static method) (anomalib.models.image.dsr.lightning_model.Dsr static method) (anomalib.models.image.vlm_ad.VlmAd static method) contains_non_printable_characters() (in module anomalib.data.utils.path) convert_video() (in module anomalib.data.utils.video) coreset_size (anomalib.models.components.sampling.KCenterGreedy attribute) cov() (anomalib.models.components.stats.GaussianKDE static method) covariances (anomalib.models.components.cluster.GaussianMixture attribute) Csflow (class in anomalib.models.image.csflow.lightning_model) CsFlowLoss (class in anomalib.models.image.csflow.loss) CsFlowModel (class in anomalib.models.image.csflow.torch_model) D DatasetItem (class in anomalib.data.dataclasses.torch) Datumaro (class in anomalib.data) (class in anomalib.data.datamodules.image.datumaro) decoder (anomalib.models.image.reverse_distillation.torch_model.ReverseDistillationModel attribute) DecoderBot (class in anomalib.models.image.dsr.torch_model) DEEP (anomalib.models.video.ai_vad.features.FeatureType attribute) DeepExtractor (class in anomalib.models.video.ai_vad.features) depth_map (anomalib.data.dataclasses.generic._DepthInputFields attribute) depth_path (anomalib.data.dataclasses.generic._DepthInputFields attribute) DepthBatch (class in anomalib.data.dataclasses.torch) DepthItem (class in anomalib.data.dataclasses.torch) Dfkde (class in anomalib.models.image.dfkde.lightning_model) DfkdeModel (class in anomalib.models.image.dfkde.torch_model) Dfm (class in anomalib.models.image.dfm.lightning_model) DFMModel (class in anomalib.models.image.dfm.torch_model) DirType (class in anomalib.data.utils.path) DiscreteLatentModel (class in anomalib.models.image.dsr.torch_model) DiscriminatorLoss (class in anomalib.models.image.ganomaly.loss) download_and_extract() (in module anomalib.data.utils.download) DownloadInfo (class in anomalib.data.utils.download) DownloadProgressBar (class in anomalib.data.utils.download) downsample_mask() (anomalib.models.image.supersimplenet.torch_model.SupersimplenetModel static method) downscale_image() (in module anomalib.data.utils.tiler) Draem (class in anomalib.models.image.draem.lightning_model) DraemLoss (class in anomalib.models.image.draem.loss) DraemModel (class in anomalib.models.image.draem.torch_model) dryrun_find_featuremap_dims() (in module anomalib.models.components.feature_extractors) Dsr (class in anomalib.models.image.dsr.lightning_model) DsrAnomalyGenerator (class in anomalib.models.image.dsr.anomaly_generator) DsrModel (class in anomalib.models.image.dsr.torch_model) DsrSecondStageLoss (class in anomalib.models.image.dsr.loss) DsrThirdStageLoss (class in anomalib.models.image.dsr.loss) duplicate_filename() (in module anomalib.data.utils.image) E EfficientAd (class in anomalib.models.image.efficient_ad.lightning_model) EfficientAdModel (class in anomalib.models.image.efficient_ad.torch_model) embedding (anomalib.models.components.sampling.KCenterGreedy attribute) (anomalib.models.image.dsr.torch_model.VectorQuantizer property) encode() (anomalib.models.image.uflow.torch_model.UflowModel method) encode_image() (anomalib.models.image.winclip.torch_model.WinClipModel method) encoder (anomalib.models.image.reverse_distillation.torch_model.ReverseDistillationModel attribute) EncoderBot (class in anomalib.models.image.dsr.torch_model) EncoderTop (class in anomalib.models.image.dsr.torch_model) Engine (class in anomalib.engine.engine) eps (anomalib.models.components.dimensionality_reduction.SparseRandomProjection attribute) euclidean_dist() (anomalib.models.image.patchcore.torch_model.PatchcoreModel static method) Evaluator (class in anomalib.metrics) explanation (anomalib.data.dataclasses.generic._OutputFields attribute) export (anomalib.cli.cli.AnomalibCLI property) export() (anomalib.engine.engine.Engine method) ExportType (class in anomalib.deploy) extract() (in module anomalib.data.utils.download) F F1AdaptiveThreshold (class in anomalib.metrics) F1Max (class in anomalib.metrics) F1Score (class in anomalib.metrics) Fastflow (class in anomalib.models.image.fastflow.lightning_model) FastflowLoss (class in anomalib.models.image.fastflow.loss) FastflowModel (class in anomalib.models.image.fastflow.torch_model) feature_extractor (anomalib.models.components.feature_extractors.TimmFeatureExtractor attribute) (anomalib.models.components.feature_extractors.TorchFXFeatureExtractor attribute) (anomalib.models.image.patchcore.torch_model.PatchcoreModel attribute) feature_pooler (anomalib.models.image.patchcore.torch_model.PatchcoreModel attribute) FeatureAdapter (class in anomalib.models.image.supersimplenet.torch_model) FeatureDecoder (class in anomalib.models.image.dsr.torch_model) FeatureEncoder (class in anomalib.models.image.dsr.torch_model) FeatureExtractor (class in anomalib.models.image.supersimplenet.torch_model) (class in anomalib.models.video.ai_vad.features) features (anomalib.models.components.sampling.KCenterGreedy attribute) FeatureScalingMethod (class in anomalib.models.components.classification) FeatureType (class in anomalib.models.video.ai_vad.features) FieldDescriptor (class in anomalib.data.dataclasses.generic) figure_to_array() (in module anomalib.data.utils.image) fit (anomalib.cli.cli.AnomalibCLI property) fit() (anomalib.engine.engine.Engine method) (anomalib.models.components.classification.KDEClassifier method) (anomalib.models.components.cluster.GaussianMixture method) (anomalib.models.components.cluster.KMeans method) (anomalib.models.components.dimensionality_reduction.PCA method) (anomalib.models.components.dimensionality_reduction.SparseRandomProjection method) (anomalib.models.components.stats.GaussianKDE method) (anomalib.models.components.stats.MultiVariateGaussian method) (anomalib.models.image.dfkde.lightning_model.Dfkde method) (anomalib.models.image.dfm.lightning_model.Dfm method) (anomalib.models.image.dfm.torch_model.DFMModel method) (anomalib.models.image.dfm.torch_model.SingleClassGaussian method) (anomalib.models.image.padim.lightning_model.Padim method) (anomalib.models.image.patchcore.lightning_model.Patchcore method) (anomalib.models.video.ai_vad.density.BaseDensityEstimator method) (anomalib.models.video.ai_vad.density.CombinedDensityEstimator method) (anomalib.models.video.ai_vad.density.GMMEstimator method) (anomalib.models.video.ai_vad.density.GroupedKNNEstimator method) (anomalib.models.video.ai_vad.lightning_model.AiVad method) fit_transform() (anomalib.models.components.dimensionality_reduction.PCA method) FlowExtractor (class in anomalib.models.video.ai_vad.flow) Folder (class in anomalib.data) (class in anomalib.data.datamodules.image.folder) Folder3D (class in anomalib.data.datamodules.depth.folder_3d) forward() (anomalib.data.utils.generators.PerlinAnomalyGenerator method) (anomalib.models.components.classification.KDEClassifier method) (anomalib.models.components.dimensionality_reduction.PCA method) (anomalib.models.components.feature_extractors.TimmFeatureExtractor method) (anomalib.models.components.feature_extractors.TorchFXFeatureExtractor method) (anomalib.models.components.filters.GaussianBlur2d method) (anomalib.models.components.flow.AllInOneBlock method) (anomalib.models.components.stats.GaussianKDE method) (anomalib.models.components.stats.MultiVariateGaussian method) (anomalib.models.image.cfa.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.cfa.loss.CfaLoss method) (anomalib.models.image.cfa.torch_model.CfaModel method) (anomalib.models.image.cflow.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.cflow.torch_model.CflowModel method) (anomalib.models.image.csflow.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.csflow.loss.CsFlowLoss static method) (anomalib.models.image.csflow.torch_model.CsFlowModel method) (anomalib.models.image.dfkde.torch_model.DfkdeModel method) (anomalib.models.image.dfm.torch_model.DFMModel method) (anomalib.models.image.dfm.torch_model.SingleClassGaussian method) (anomalib.models.image.draem.loss.DraemLoss method) (anomalib.models.image.draem.torch_model.DraemModel method) (anomalib.models.image.dsr.loss.DsrSecondStageLoss method) (anomalib.models.image.dsr.loss.DsrThirdStageLoss method) (anomalib.models.image.dsr.torch_model.AnomalyDetectionModule method) (anomalib.models.image.dsr.torch_model.DecoderBot method) (anomalib.models.image.dsr.torch_model.DiscreteLatentModel method) (anomalib.models.image.dsr.torch_model.DsrModel method) (anomalib.models.image.dsr.torch_model.EncoderBot method) (anomalib.models.image.dsr.torch_model.EncoderTop method) (anomalib.models.image.dsr.torch_model.FeatureDecoder method) (anomalib.models.image.dsr.torch_model.FeatureEncoder method) (anomalib.models.image.dsr.torch_model.ImageReconstructionNetwork method) (anomalib.models.image.dsr.torch_model.Residual method) (anomalib.models.image.dsr.torch_model.ResidualStack method) (anomalib.models.image.dsr.torch_model.SubspaceRestrictionModule method) (anomalib.models.image.dsr.torch_model.SubspaceRestrictionNetwork method) (anomalib.models.image.dsr.torch_model.UnetDecoder method) (anomalib.models.image.dsr.torch_model.UnetEncoder method) (anomalib.models.image.dsr.torch_model.UnetModel method) (anomalib.models.image.dsr.torch_model.UpsamplingModule method) (anomalib.models.image.dsr.torch_model.VectorQuantizer method) (anomalib.models.image.efficient_ad.torch_model.EfficientAdModel method) (anomalib.models.image.fastflow.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.fastflow.loss.FastflowLoss static method) (anomalib.models.image.fastflow.torch_model.FastflowModel method) (anomalib.models.image.fre.torch_model.FREModel method) (anomalib.models.image.fre.torch_model.TiedAE method) (anomalib.models.image.ganomaly.loss.DiscriminatorLoss method) (anomalib.models.image.ganomaly.loss.GeneratorLoss method) (anomalib.models.image.ganomaly.torch_model.GanomalyModel method) (anomalib.models.image.padim.torch_model.PadimModel method) (anomalib.models.image.patchcore.torch_model.PatchcoreModel method) (anomalib.models.image.reverse_distillation.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.reverse_distillation.loss.ReverseDistillationLoss static method) (anomalib.models.image.reverse_distillation.torch_model.ReverseDistillationModel method) (anomalib.models.image.stfpm.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.stfpm.loss.STFPMLoss method) (anomalib.models.image.stfpm.torch_model.STFPMModel method) (anomalib.models.image.supersimplenet.anomaly_generator.AnomalyGenerator method) (anomalib.models.image.supersimplenet.torch_model.AnomalyMapGenerator method) (anomalib.models.image.supersimplenet.torch_model.FeatureAdapter method) (anomalib.models.image.supersimplenet.torch_model.FeatureExtractor method) (anomalib.models.image.supersimplenet.torch_model.SegmentationDetectionModule method) (anomalib.models.image.supersimplenet.torch_model.SupersimplenetModel method) (anomalib.models.image.uflow.anomaly_map.AnomalyMapGenerator method) (anomalib.models.image.uflow.torch_model.UflowModel method) (anomalib.models.image.winclip.torch_model.WinClipModel method) (anomalib.models.video.ai_vad.density.BaseDensityEstimator method) (anomalib.models.video.ai_vad.features.DeepExtractor method) (anomalib.models.video.ai_vad.features.FeatureExtractor method) (anomalib.models.video.ai_vad.features.PoseExtractor method) (anomalib.models.video.ai_vad.features.VelocityExtractor method) (anomalib.models.video.ai_vad.flow.FlowExtractor method) (anomalib.models.video.ai_vad.regions.RegionExtractor method) (anomalib.models.video.ai_vad.torch_model.AiVadModel method) (anomalib.post_processing.base.PostProcessor method) (anomalib.post_processing.one_class.OneClassPostProcessor method) (anomalib.pre_processing.PreProcessor method) FP16 (anomalib.deploy.CompressionType attribute) frames (anomalib.data.dataclasses.generic._VideoInputFields attribute) Fre (class in anomalib.models.image.fre.lightning_model) FREModel (class in anomalib.models.image.fre.torch_model) from_config() (anomalib.data.datamodules.base.image.AnomalibDataModule class method) (anomalib.engine.engine.Engine class method) from_dataset() (anomalib.data.utils.synthetic.SyntheticAnomalyDataset class method) FROM_DIR (anomalib.data.utils.split.TestSplitMode attribute) FROM_TEST (anomalib.data.utils.split.ValSplitMode attribute) FROM_TRAIN (anomalib.data.utils.split.ValSplitMode attribute) G Ganomaly (class in anomalib.models.image.ganomaly.lightning_model) GanomalyModel (class in anomalib.models.image.ganomaly.torch_model) GaussianBlur2d (class in anomalib.models.components.filters) GaussianKDE (class in anomalib.models.components.stats) GaussianMixture (class in anomalib.models.components.cluster) generate_anomaly() (anomalib.models.image.dsr.anomaly_generator.DsrAnomalyGenerator method) generate_embedding() (anomalib.models.image.padim.torch_model.PadimModel method) (anomalib.models.image.patchcore.torch_model.PatchcoreModel method) generate_fake_anomalies_joined() (anomalib.models.image.dsr.torch_model.DiscreteLatentModel static method) generate_hash() (in module anomalib.data.utils.download) generate_jobs() (anomalib.pipelines.benchmark.generator.BenchmarkJobGenerator method) (anomalib.pipelines.components.base.job.JobGenerator method) generate_output_image_filename() (in module anomalib.data.utils.image) generate_perlin() (anomalib.models.image.supersimplenet.anomaly_generator.AnomalyGenerator method) generate_perlin_noise() (in module anomalib.data.utils.generators) generate_perturbation() (anomalib.data.utils.generators.PerlinAnomalyGenerator method) GeneratorLoss (class in anomalib.models.image.ganomaly.loss) get_channels_dim() (anomalib.models.image.supersimplenet.torch_model.FeatureExtractor method) get_features() (anomalib.models.image.dfkde.torch_model.DfkdeModel method) (anomalib.models.image.dfm.torch_model.DFMModel method) (anomalib.models.image.fre.torch_model.FREModel method) get_image_filename() (in module anomalib.data.utils.image) get_image_filenames() (in module anomalib.data.utils.image) get_image_filenames_from_dir() (in module anomalib.data.utils.image) get_image_height_and_width() (in module anomalib.data.utils.image) get_item() (anomalib.data.utils.video.ClipsIndexer method) get_maps() (anomalib.models.image.efficient_ad.torch_model.EfficientAdModel method) get_mask() (anomalib.data.utils.video.ClipsIndexer method) get_new_idx() (anomalib.models.components.sampling.KCenterGreedy method) get_params() (anomalib.models.image.supersimplenet.torch_model.SegmentationDetectionModule method) get_parser() (anomalib.pipelines.benchmark.pipeline.Benchmark static method) (anomalib.pipelines.components.base.pipeline.Pipeline static method) get_scale() (anomalib.models.image.cfa.torch_model.CfaModel method) get_types() (anomalib.data.dataclasses.generic.FieldDescriptor method) GMMEstimator (class in anomalib.models.video.ai_vad.density) GraphLogger (class in anomalib.callbacks.graph) grid_size (anomalib.models.image.winclip.torch_model.WinClipModel attribute) GroupedKNNEstimator (class in anomalib.models.video.ai_vad.density) gt_label (anomalib.data.dataclasses.generic._InputFields attribute) gt_mask (anomalib.data.dataclasses.generic._InputFields attribute) I idx (anomalib.models.components.feature_extractors.TimmFeatureExtractor attribute) image (anomalib.data.dataclasses.generic._InputFields attribute) image_max (anomalib.post_processing.one_class.OneClassPostProcessor property) image_min (anomalib.post_processing.one_class.OneClassPostProcessor property) image_path (anomalib.data.dataclasses.generic._ImageInputFields attribute) ImageBatch (class in anomalib.data.dataclasses.torch) ImageItem (class in anomalib.data.dataclasses.torch) ImageReconstructionNetwork (class in anomalib.models.image.dsr.torch_model) ImageUpscaleMode (class in anomalib.data.utils.tiler) InferenceBatch (class in anomalib.data.dataclasses.torch) init_parser() (anomalib.cli.cli.AnomalibCLI static method) init_weights() (in module anomalib.models.image.supersimplenet.torch_model) initialize_centroid() (anomalib.models.image.cfa.torch_model.CfaModel method) initialize_feature_extractor() (anomalib.models.components.feature_extractors.TorchFXFeatureExtractor method) instantiate_classes() (anomalib.cli.cli.AnomalibCLI method) instantiate_engine() (anomalib.cli.cli.AnomalibCLI method) INT8 (anomalib.deploy.CompressionType attribute) INT8_ACQ (anomalib.deploy.CompressionType attribute) INT8_PTQ (anomalib.deploy.CompressionType attribute) INTERPOLATION (anomalib.data.utils.tiler.ImageUpscaleMode attribute) inverse_transform() (anomalib.models.components.dimensionality_reduction.PCA method) is_file_potentially_dangerous() (in module anomalib.data.utils.download) is_image_file() (in module anomalib.data.utils.image) is_optional() (anomalib.data.dataclasses.generic.FieldDescriptor method) is_path_too_long() (in module anomalib.data.utils.path) is_set() (anomalib.models.image.efficient_ad.torch_model.EfficientAdModel static method) is_within_directory() (in module anomalib.data.utils.download) item_class (anomalib.data.dataclasses.generic.BatchIterateMixin attribute) (anomalib.data.dataclasses.numpy.NumpyImageBatch attribute) (anomalib.data.dataclasses.numpy.NumpyVideoBatch attribute) (anomalib.data.dataclasses.torch.DepthBatch attribute) (anomalib.data.dataclasses.torch.ImageBatch attribute) (anomalib.data.dataclasses.torch.VideoBatch attribute) items (anomalib.data.dataclasses.generic.BatchIterateMixin property) J Job (class in anomalib.pipelines.components.base.job) job_class (anomalib.pipelines.benchmark.generator.BenchmarkJobGenerator property) (anomalib.pipelines.components.base.job.JobGenerator property) JobGenerator (class in anomalib.pipelines.components.base.job) K k_shot (anomalib.models.image.winclip.torch_model.WinClipModel attribute) KCenterGreedy (class in anomalib.models.components.sampling) kde_model (anomalib.models.components.classification.KDEClassifier attribute) KDEClassifier (class in anomalib.models.components.classification) KMeans (class in anomalib.models.components.cluster) Kolektor (class in anomalib.data) (class in anomalib.data.datamodules.image.kolektor) L LabelName (class in anomalib.data.utils.label) labels_ (anomalib.models.components.cluster.KMeans attribute) last_frame (anomalib.data.dataclasses.generic._VideoInputFields attribute) last_frame_idx() (anomalib.data.utils.video.ClipsIndexer method) layers (anomalib.models.components.feature_extractors.TimmFeatureExtractor attribute) learning_type (anomalib.models.image.cfa.lightning_model.Cfa property) (anomalib.models.image.cflow.lightning_model.Cflow property) (anomalib.models.image.csflow.lightning_model.Csflow property) (anomalib.models.image.dfkde.lightning_model.Dfkde property) (anomalib.models.image.dfm.lightning_model.Dfm property) (anomalib.models.image.draem.lightning_model.Draem property) (anomalib.models.image.dsr.lightning_model.Dsr property) (anomalib.models.image.efficient_ad.lightning_model.EfficientAd property) (anomalib.models.image.fastflow.lightning_model.Fastflow property) (anomalib.models.image.fre.lightning_model.Fre property) (anomalib.models.image.ganomaly.lightning_model.Ganomaly property) (anomalib.models.image.padim.lightning_model.Padim property) (anomalib.models.image.patchcore.lightning_model.Patchcore property) (anomalib.models.image.reverse_distillation.lightning_model.ReverseDistillation property) (anomalib.models.image.stfpm.lightning_model.Stfpm property) (anomalib.models.image.supersimplenet.lightning_model.Supersimplenet property) (anomalib.models.image.uflow.lightning_model.Uflow property) (anomalib.models.image.vlm_ad.VlmAd property) (anomalib.models.image.winclip.lightning_model.WinClip property) (anomalib.models.video.ai_vad.lightning_model.AiVad property) load_model() (anomalib.deploy.OpenVINOInferencer method) (anomalib.deploy.TorchInferencer method) load_pretrained_discrete_model_weights() (anomalib.models.image.dsr.torch_model.DsrModel method) load_state_dict() (anomalib.models.image.winclip.lightning_model.WinClip method) LoadModelCallback (class in anomalib.callbacks.model_loader) M main() (in module anomalib.cli.cli) make_synthetic_dataset() (in module anomalib.data.utils.synthetic) ManualThreshold (class in anomalib.metrics) map_norm_quantiles() (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) MASK (anomalib.data.utils.path.DirType attribute) mask_path (anomalib.data.dataclasses.generic._InputFields attribute) masks (anomalib.models.image.winclip.torch_model.WinClipModel attribute) masks_to_boxes() (in module anomalib.data.utils.boxes) max (anomalib.metrics.MinMax attribute) max_length (anomalib.models.components.classification.KDEClassifier attribute) mean (anomalib.models.components.dimensionality_reduction.PCA attribute) means (anomalib.models.components.cluster.GaussianMixture attribute) memory_bank (anomalib.models.image.patchcore.torch_model.PatchcoreModel attribute) metrics_to_cpu() (anomalib.metrics.Evaluator method) min (anomalib.metrics.MinMax attribute) min_distances (anomalib.models.components.sampling.KCenterGreedy attribute) MinMax (class in anomalib.metrics) model (anomalib.engine.engine.Engine property) (anomalib.models.components.sampling.KCenterGreedy attribute) ModelCheckpoint (class in anomalib.callbacks.checkpoint) module anomalib.callbacks.checkpoint anomalib.callbacks.graph anomalib.callbacks.model_loader anomalib.callbacks.timer anomalib.cli.cli anomalib.data, [1] anomalib.data.datamodules.base.image anomalib.data.datamodules.base.video anomalib.data.datamodules.depth.folder_3d anomalib.data.datamodules.depth.mvtec_3d anomalib.data.datamodules.image.btech anomalib.data.datamodules.image.datumaro anomalib.data.datamodules.image.folder anomalib.data.datamodules.image.kolektor anomalib.data.datamodules.image.mvtec anomalib.data.datamodules.image.visa anomalib.data.datamodules.video.avenue anomalib.data.datamodules.video.shanghaitech anomalib.data.datamodules.video.ucsd_ped anomalib.data.utils.boxes anomalib.data.utils.download anomalib.data.utils.generators anomalib.data.utils.image anomalib.data.utils.label anomalib.data.utils.path anomalib.data.utils.split anomalib.data.utils.synthetic anomalib.data.utils.tiler anomalib.data.utils.video anomalib.deploy anomalib.loggers.comet anomalib.loggers.mlflow anomalib.loggers.tensorboard anomalib.loggers.wandb anomalib.metrics anomalib.models.components.classification anomalib.models.components.cluster anomalib.models.components.dimensionality_reduction anomalib.models.components.feature_extractors anomalib.models.components.filters anomalib.models.components.flow anomalib.models.components.sampling anomalib.models.components.stats anomalib.models.image.cfa.anomaly_map anomalib.models.image.cfa.lightning_model anomalib.models.image.cfa.loss anomalib.models.image.cfa.torch_model anomalib.models.image.cflow.anomaly_map anomalib.models.image.cflow.lightning_model anomalib.models.image.cflow.torch_model anomalib.models.image.csflow.anomaly_map anomalib.models.image.csflow.lightning_model anomalib.models.image.csflow.loss anomalib.models.image.csflow.torch_model anomalib.models.image.dfkde.lightning_model anomalib.models.image.dfkde.torch_model anomalib.models.image.dfm.lightning_model anomalib.models.image.dfm.torch_model anomalib.models.image.draem.lightning_model anomalib.models.image.draem.loss anomalib.models.image.draem.torch_model anomalib.models.image.dsr.anomaly_generator anomalib.models.image.dsr.lightning_model anomalib.models.image.dsr.loss anomalib.models.image.dsr.torch_model anomalib.models.image.efficient_ad.lightning_model anomalib.models.image.efficient_ad.torch_model anomalib.models.image.fastflow.anomaly_map anomalib.models.image.fastflow.lightning_model anomalib.models.image.fastflow.loss anomalib.models.image.fastflow.torch_model anomalib.models.image.fre.lightning_model anomalib.models.image.fre.torch_model anomalib.models.image.ganomaly.lightning_model anomalib.models.image.ganomaly.loss anomalib.models.image.ganomaly.torch_model anomalib.models.image.padim.lightning_model anomalib.models.image.padim.torch_model anomalib.models.image.patchcore.lightning_model anomalib.models.image.patchcore.torch_model anomalib.models.image.reverse_distillation.anomaly_map anomalib.models.image.reverse_distillation.lightning_model anomalib.models.image.reverse_distillation.loss anomalib.models.image.reverse_distillation.torch_model anomalib.models.image.stfpm.anomaly_map anomalib.models.image.stfpm.lightning_model anomalib.models.image.stfpm.loss anomalib.models.image.stfpm.torch_model anomalib.models.image.supersimplenet.anomaly_generator anomalib.models.image.supersimplenet.lightning_model anomalib.models.image.supersimplenet.torch_model anomalib.models.image.uflow.anomaly_map anomalib.models.image.uflow.lightning_model anomalib.models.image.uflow.torch_model anomalib.models.image.vlm_ad anomalib.models.image.winclip.lightning_model anomalib.models.image.winclip.torch_model anomalib.models.video.ai_vad.density anomalib.models.video.ai_vad.features anomalib.models.video.ai_vad.flow anomalib.models.video.ai_vad.lightning_model anomalib.models.video.ai_vad.regions anomalib.models.video.ai_vad.torch_model anomalib.pipelines.components.base.pipeline anomalib.pipelines.components.runners.parallel anomalib.pipelines.components.runners.serial anomalib.post_processing.base anomalib.post_processing.one_class anomalib.pre_processing MultiVariateGaussian (class in anomalib.models.components.stats) MVTec (class in anomalib.data) (class in anomalib.data.datamodules.image.mvtec) MVTec3D (class in anomalib.data.datamodules.depth.mvtec_3d) N n_components (anomalib.models.components.dimensionality_reduction.SparseRandomProjection attribute) n_observations (anomalib.models.components.sampling.KCenterGreedy attribute) name (anomalib.data.datamodules.base.image.AnomalibDataModule property) (anomalib.data.datamodules.depth.folder_3d.Folder3D property) (anomalib.data.datamodules.image.folder.Folder property) (anomalib.data.Folder property) nearest_neighbors() (anomalib.models.image.patchcore.torch_model.PatchcoreModel method) next_power_2() (anomalib.models.image.supersimplenet.anomaly_generator.AnomalyGenerator static method) NONE (anomalib.data.utils.split.TestSplitMode attribute) (anomalib.data.utils.split.ValSplitMode attribute) NORM (anomalib.models.components.classification.FeatureScalingMethod attribute) NORMAL (anomalib.data.utils.label.LabelName attribute) (anomalib.data.utils.path.DirType attribute) NORMAL_DEPTH (anomalib.data.utils.path.DirType attribute) NORMAL_TEST (anomalib.data.utils.path.DirType attribute) NORMAL_TEST_DEPTH (anomalib.data.utils.path.DirType attribute) normalize_batch() (anomalib.post_processing.one_class.OneClassPostProcessor method) normalized_image_threshold (anomalib.post_processing.one_class.OneClassPostProcessor property) normalized_pixel_threshold (anomalib.post_processing.one_class.OneClassPostProcessor property) num_components (anomalib.models.components.dimensionality_reduction.PCA attribute) numpy_class (anomalib.data.dataclasses.torch.DepthItem attribute) (anomalib.data.dataclasses.torch.ImageBatch attribute) (anomalib.data.dataclasses.torch.ImageItem attribute) (anomalib.data.dataclasses.torch.VideoBatch attribute) (anomalib.data.dataclasses.torch.VideoItem attribute) NumpyBatch (class in anomalib.data.dataclasses.numpy) NumpyImageBatch (class in anomalib.data.dataclasses.numpy) NumpyImageItem (class in anomalib.data.dataclasses.numpy) NumpyItem (class in anomalib.data.dataclasses.numpy) NumpyVideoBatch (class in anomalib.data.dataclasses.numpy) NumpyVideoItem (class in anomalib.data.dataclasses.numpy) O on_fit_end() (anomalib.callbacks.timer.TimerCallback method) on_fit_start() (anomalib.callbacks.timer.TimerCallback method) on_predict_batch_end() (anomalib.post_processing.one_class.OneClassPostProcessor method) on_predict_batch_start() (anomalib.pre_processing.PreProcessor method) on_test_batch_end() (anomalib.metrics.Evaluator method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) (anomalib.post_processing.one_class.OneClassPostProcessor method) on_test_batch_start() (anomalib.pre_processing.PreProcessor method) on_test_end() (anomalib.callbacks.timer.TimerCallback method) on_test_epoch_end() (anomalib.metrics.Evaluator method) on_test_start() (anomalib.callbacks.timer.TimerCallback method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) on_train_batch_start() (anomalib.pre_processing.PreProcessor method) on_train_end() (anomalib.callbacks.graph.GraphLogger static method) on_train_epoch_start() (anomalib.models.image.dsr.lightning_model.Dsr method) on_train_start() (anomalib.callbacks.graph.GraphLogger static method) (anomalib.models.image.cfa.lightning_model.Cfa method) (anomalib.models.image.dsr.lightning_model.Dsr method) (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) on_validation_batch_end() (anomalib.metrics.Evaluator method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) (anomalib.post_processing.one_class.OneClassPostProcessor method) on_validation_batch_start() (anomalib.pre_processing.PreProcessor method) on_validation_epoch_end() (anomalib.metrics.Evaluator method) (anomalib.post_processing.one_class.OneClassPostProcessor method) on_validation_start() (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) OneClassPostProcessor (class in anomalib.post_processing.one_class) ONNX (anomalib.deploy.ExportType attribute) OPENVINO (anomalib.deploy.ExportType attribute) OpenVINOInferencer (class in anomalib.deploy) original_image (anomalib.data.dataclasses.generic._VideoInputFields attribute) out_dims (anomalib.models.components.feature_extractors.TimmFeatureExtractor attribute) output_dims() (anomalib.models.components.flow.AllInOneBlock static method) P pad_nextpow2() (in module anomalib.data.utils.image) PADDING (anomalib.data.utils.tiler.ImageUpscaleMode attribute) Padim (class in anomalib.models.image.padim.lightning_model) PadimModel (class in anomalib.models.image.padim.torch_model) ParallelExecutionError ParallelRunner (class in anomalib.pipelines.components.runners.parallel) patch_embeddings (anomalib.models.image.winclip.torch_model.WinClipModel property) Patchcore (class in anomalib.models.image.patchcore.lightning_model) PatchcoreModel (class in anomalib.models.image.patchcore.torch_model) PCA (class in anomalib.models.components.dimensionality_reduction) pca_model (anomalib.models.components.classification.KDEClassifier attribute) PerlinAnomalyGenerator (class in anomalib.data.utils.generators) PIMO (class in anomalib.metrics) Pipeline (class in anomalib.pipelines.components.base.pipeline) pixel_max (anomalib.post_processing.one_class.OneClassPostProcessor property) pixel_min (anomalib.post_processing.one_class.OneClassPostProcessor property) POSE (anomalib.models.video.ai_vad.features.FeatureType attribute) PoseExtractor (class in anomalib.models.video.ai_vad.features) post_process() (anomalib.deploy.OpenVINOInferencer static method) post_process_batch() (anomalib.post_processing.one_class.OneClassPostProcessor method) post_process_bbox_detections() (anomalib.models.video.ai_vad.regions.RegionExtractor method) PostProcessor (class in anomalib.post_processing.base) pre_process() (anomalib.deploy.OpenVINOInferencer static method) (anomalib.deploy.TorchInferencer method) (anomalib.models.components.classification.KDEClassifier method) (anomalib.models.video.ai_vad.flow.FlowExtractor method) pred_label (anomalib.data.dataclasses.generic._OutputFields attribute) (anomalib.data.dataclasses.torch.InferenceBatch attribute) pred_mask (anomalib.data.dataclasses.generic._OutputFields attribute) (anomalib.data.dataclasses.torch.InferenceBatch attribute) pred_score (anomalib.data.dataclasses.generic._OutputFields attribute) (anomalib.data.dataclasses.torch.InferenceBatch attribute) predict (anomalib.cli.cli.AnomalibCLI property) predict() (anomalib.deploy.OpenVINOInferencer method) (anomalib.deploy.TorchInferencer method) (anomalib.engine.engine.Engine method) (anomalib.models.components.classification.KDEClassifier method) (anomalib.models.components.cluster.GaussianMixture method) (anomalib.models.components.cluster.KMeans method) (anomalib.models.video.ai_vad.density.BaseDensityEstimator method) (anomalib.models.video.ai_vad.density.CombinedDensityEstimator method) (anomalib.models.video.ai_vad.density.GMMEstimator method) (anomalib.models.video.ai_vad.density.GroupedKNNEstimator method) predict_dataloader() (anomalib.data.datamodules.base.image.AnomalibDataModule method) prepare_data() (anomalib.data.Avenue method) (anomalib.data.BTech method) (anomalib.data.datamodules.depth.mvtec_3d.MVTec3D method) (anomalib.data.datamodules.image.btech.BTech method) (anomalib.data.datamodules.image.kolektor.Kolektor method) (anomalib.data.datamodules.image.mvtec.MVTec method) (anomalib.data.datamodules.image.visa.Visa method) (anomalib.data.datamodules.video.avenue.Avenue method) (anomalib.data.datamodules.video.shanghaitech.ShanghaiTech method) (anomalib.data.datamodules.video.ucsd_ped.UCSDped method) (anomalib.data.Kolektor method) (anomalib.data.MVTec method) (anomalib.data.ShanghaiTech method) (anomalib.data.UCSDped method) (anomalib.data.Visa method) prepare_imagenette_data() (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) prepare_pretrained_model() (anomalib.models.image.dsr.lightning_model.Dsr static method) (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) PreProcessor (class in anomalib.pre_processing) PRO (class in anomalib.metrics) prompt (anomalib.models.image.vlm_ad.VlmAd property) R random_split() (in module anomalib.data.utils.split) random_state (anomalib.models.components.dimensionality_reduction.SparseRandomProjection attribute) raw_image_threshold (anomalib.post_processing.one_class.OneClassPostProcessor property) raw_pixel_threshold (anomalib.post_processing.one_class.OneClassPostProcessor property) read_depth_image() (in module anomalib.data.utils.image) read_image() (in module anomalib.data.utils.image) read_mask() (in module anomalib.data.utils.image) RegionExtractor (class in anomalib.models.video.ai_vad.regions) requires_grad (anomalib.models.components.feature_extractors.TimmFeatureExtractor attribute) reset_distances() (anomalib.models.components.sampling.KCenterGreedy method) reshape_embedding() (anomalib.models.image.patchcore.torch_model.PatchcoreModel static method) Residual (class in anomalib.models.image.dsr.torch_model) ResidualStack (class in anomalib.models.image.dsr.torch_model) resolve_path() (in module anomalib.data.utils.path) ReverseDistillation (class in anomalib.models.image.reverse_distillation.lightning_model) ReverseDistillationLoss (class in anomalib.models.image.reverse_distillation.loss) ReverseDistillationModel (class in anomalib.models.image.reverse_distillation.torch_model) run() (anomalib.pipelines.benchmark.job.BenchmarkJob method) (anomalib.pipelines.benchmark.pipeline.Benchmark method) (anomalib.pipelines.components.base.job.Job method) (anomalib.pipelines.components.base.pipeline.Pipeline method) (anomalib.pipelines.components.base.runner.Runner method) (anomalib.pipelines.components.runners.parallel.ParallelRunner method) (anomalib.pipelines.components.runners.serial.SerialRunner method) Runner (class in anomalib.pipelines.components.base.runner) S safe_extract() (in module anomalib.data.utils.download) SAME_AS_TEST (anomalib.data.utils.split.ValSplitMode attribute) sample_coreset() (anomalib.models.components.sampling.KCenterGreedy method) save() (anomalib.loggers.wandb.AnomalibWandbLogger method) (anomalib.pipelines.benchmark.job.BenchmarkJob static method) (anomalib.pipelines.components.base.job.Job static method) save_image() (in module anomalib.data.utils.image) SCALE (anomalib.models.components.classification.FeatureScalingMethod attribute) scale_boxes() (in module anomalib.data.utils.boxes) scales (anomalib.models.image.winclip.torch_model.WinClipModel attribute) score() (anomalib.models.image.dfm.torch_model.DFMModel method) score_samples() (anomalib.models.components.cluster.GaussianMixture method) (anomalib.models.image.dfm.torch_model.SingleClassGaussian method) SegmentationDetectionModule (class in anomalib.models.image.supersimplenet.torch_model) select_coreset_idxs() (anomalib.models.components.sampling.KCenterGreedy method) SerialExecutionError SerialRunner (class in anomalib.pipelines.components.runners.serial) setup() (anomalib.callbacks.model_loader.LoadModelCallback method) (anomalib.data.datamodules.base.image.AnomalibDataModule method) (anomalib.metrics.Evaluator method) (anomalib.models.image.winclip.lightning_model.WinClip method) (anomalib.models.image.winclip.torch_model.WinClipModel method) setup_sspcab() (anomalib.models.image.draem.lightning_model.Draem method) ShanghaiTech (class in anomalib.data) (class in anomalib.data.datamodules.video.shanghaitech) show_image() (in module anomalib.data.utils.image) SingleClassGaussian (class in anomalib.models.image.dfm.torch_model) singular_values (anomalib.models.components.dimensionality_reduction.PCA attribute) singular_vectors (anomalib.models.components.dimensionality_reduction.PCA attribute) sparse_random_matrix (anomalib.models.components.dimensionality_reduction.SparseRandomProjection attribute) SparseRandomProjection (class in anomalib.models.components.dimensionality_reduction) Split (class in anomalib.data.utils.split) split_by_label() (in module anomalib.data.utils.split) state_dict() (anomalib.models.image.winclip.lightning_model.WinClip method) Stfpm (class in anomalib.models.image.stfpm.lightning_model) STFPMLoss (class in anomalib.models.image.stfpm.loss) STFPMModel (class in anomalib.models.image.stfpm.torch_model) StrideSizeError student_model (anomalib.models.image.stfpm.torch_model.STFPMModel attribute) subcommands() (anomalib.cli.cli.AnomalibCLI static method) subsample_embedding() (anomalib.models.image.patchcore.torch_model.PatchcoreModel method) subsample_regions() (anomalib.models.video.ai_vad.regions.RegionExtractor static method) SubspaceRestrictionModule (class in anomalib.models.image.dsr.torch_model) SubspaceRestrictionNetwork (class in anomalib.models.image.dsr.torch_model) Supersimplenet (class in anomalib.models.image.supersimplenet.lightning_model) SupersimplenetModel (class in anomalib.models.image.supersimplenet.torch_model) SYNTHETIC (anomalib.data.utils.split.TestSplitMode attribute) (anomalib.data.utils.split.ValSplitMode attribute) SyntheticAnomalyDataset (class in anomalib.data.utils.synthetic) T target_frame (anomalib.data.dataclasses.generic._VideoInputFields attribute) task (anomalib.data.datamodules.base.image.AnomalibDataModule property) teacher_channel_mean_std() (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) teacher_model (anomalib.models.image.stfpm.torch_model.STFPMModel attribute) test (anomalib.cli.cli.AnomalibCLI property) TEST (anomalib.data.utils.split.Split attribute) test() (anomalib.engine.engine.Engine method) test_dataloader() (anomalib.data.datamodules.base.image.AnomalibDataModule method) test_step() (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) TestSplitMode (class in anomalib.data.utils.split) text_embeddings (anomalib.models.image.winclip.torch_model.WinClipModel property) threshold_batch() (anomalib.post_processing.one_class.OneClassPostProcessor method) TiedAE (class in anomalib.models.image.fre.torch_model) tile() (anomalib.data.utils.tiler.Tiler method) tiler (anomalib.models.image.patchcore.torch_model.PatchcoreModel attribute) (anomalib.models.image.reverse_distillation.torch_model.ReverseDistillationModel attribute) (anomalib.models.image.stfpm.torch_model.STFPMModel attribute) Tiler (class in anomalib.data.utils.tiler) TimerCallback (class in anomalib.callbacks.timer) TimmFeatureExtractor (class in anomalib.models.components.feature_extractors) to_image() (anomalib.data.dataclasses.torch.VideoItem method) to_numpy() (anomalib.data.dataclasses.torch.ToNumpyMixin method) to_onnx() (anomalib.models.image.vlm_ad.VlmAd method) to_openvino() (anomalib.models.image.vlm_ad.VlmAd method) to_torch() (anomalib.models.image.vlm_ad.VlmAd method) ToNumpyMixin (class in anomalib.data.dataclasses.torch) TORCH (anomalib.deploy.ExportType attribute) TorchFXFeatureExtractor (class in anomalib.models.components.feature_extractors) TorchInferencer (class in anomalib.deploy) train (anomalib.cli.cli.AnomalibCLI property) TRAIN (anomalib.data.utils.split.Split attribute) train() (anomalib.engine.engine.Engine method) train_dataloader() (anomalib.data.datamodules.base.image.AnomalibDataModule method) trainer (anomalib.engine.engine.Engine property) trainer_arguments (anomalib.models.image.cfa.lightning_model.Cfa property) (anomalib.models.image.cflow.lightning_model.Cflow property) (anomalib.models.image.csflow.lightning_model.Csflow property) (anomalib.models.image.dfkde.lightning_model.Dfkde property) (anomalib.models.image.dfm.lightning_model.Dfm property) (anomalib.models.image.draem.lightning_model.Draem property) (anomalib.models.image.dsr.lightning_model.Dsr property) (anomalib.models.image.efficient_ad.lightning_model.EfficientAd property) (anomalib.models.image.fastflow.lightning_model.Fastflow property) (anomalib.models.image.fre.lightning_model.Fre property) (anomalib.models.image.ganomaly.lightning_model.Ganomaly property) (anomalib.models.image.padim.lightning_model.Padim property) (anomalib.models.image.patchcore.lightning_model.Patchcore property) (anomalib.models.image.reverse_distillation.lightning_model.ReverseDistillation property) (anomalib.models.image.stfpm.lightning_model.Stfpm property) (anomalib.models.image.supersimplenet.lightning_model.Supersimplenet property) (anomalib.models.image.uflow.lightning_model.Uflow property) (anomalib.models.image.vlm_ad.VlmAd property) (anomalib.models.image.winclip.lightning_model.WinClip property) (anomalib.models.video.ai_vad.lightning_model.AiVad property) training_step() (anomalib.models.image.cfa.lightning_model.Cfa method) (anomalib.models.image.cflow.lightning_model.Cflow method) (anomalib.models.image.csflow.lightning_model.Csflow method) (anomalib.models.image.dfkde.lightning_model.Dfkde method) (anomalib.models.image.dfm.lightning_model.Dfm method) (anomalib.models.image.draem.lightning_model.Draem method) (anomalib.models.image.dsr.lightning_model.Dsr method) (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) (anomalib.models.image.fastflow.lightning_model.Fastflow method) (anomalib.models.image.fre.lightning_model.Fre method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) (anomalib.models.image.padim.lightning_model.Padim method) (anomalib.models.image.patchcore.lightning_model.Patchcore method) (anomalib.models.image.reverse_distillation.lightning_model.ReverseDistillation method) (anomalib.models.image.stfpm.lightning_model.Stfpm method) (anomalib.models.image.supersimplenet.lightning_model.Supersimplenet method) (anomalib.models.image.uflow.lightning_model.Uflow method) (anomalib.models.video.ai_vad.lightning_model.AiVad method) transform (anomalib.models.image.winclip.torch_model.WinClipModel property) transform() (anomalib.models.components.dimensionality_reduction.PCA method) (anomalib.models.components.dimensionality_reduction.SparseRandomProjection method) U UCSDped (class in anomalib.data) (class in anomalib.data.datamodules.video.ucsd_ped) Uflow (class in anomalib.models.image.uflow.lightning_model) UflowModel (class in anomalib.models.image.uflow.torch_model) UnetDecoder (class in anomalib.models.image.dsr.torch_model) UnetEncoder (class in anomalib.models.image.dsr.torch_model) UnetModel (class in anomalib.models.image.dsr.torch_model) untile() (anomalib.data.utils.tiler.Tiler method) update() (anomalib.data.dataclasses.generic.UpdateMixin method) (anomalib.metrics.AnomalibMetric method) (anomalib.metrics.AnomalyScoreDistribution method) (anomalib.metrics.BinaryPrecisionRecallCurve method) (anomalib.metrics.ManualThreshold static method) (anomalib.metrics.MinMax method) (anomalib.models.video.ai_vad.density.BaseDensityEstimator method) (anomalib.models.video.ai_vad.density.CombinedDensityEstimator method) (anomalib.models.video.ai_vad.density.GMMEstimator method) (anomalib.models.video.ai_vad.density.GroupedKNNEstimator method) update_distances() (anomalib.models.components.sampling.KCenterGreedy method) update_to() (anomalib.data.utils.download.DownloadProgressBar method) UpdateMixin (class in anomalib.data.dataclasses.generic) UpsamplingModule (class in anomalib.models.image.dsr.torch_model) upscale_image() (in module anomalib.data.utils.tiler) V VAL (anomalib.data.utils.split.Split attribute) val_dataloader() (anomalib.data.datamodules.base.image.AnomalibDataModule method) validate (anomalib.cli.cli.AnomalibCLI property) validate() (anomalib.engine.engine.Engine method) validate_and_resolve_path() (in module anomalib.data.utils.path) validate_anomaly_map() (anomalib.data.dataclasses.generic._OutputFields static method) validate_depth_map() (anomalib.data.dataclasses.generic._DepthInputFields static method) validate_depth_path() (anomalib.data.dataclasses.generic._DepthInputFields static method) validate_explanation() (anomalib.data.dataclasses.generic._OutputFields static method) validate_frames() (anomalib.data.dataclasses.generic._VideoInputFields static method) validate_gt_label() (anomalib.data.dataclasses.generic._InputFields static method) validate_gt_mask() (anomalib.data.dataclasses.generic._InputFields static method) validate_image() (anomalib.data.dataclasses.generic._InputFields static method) validate_image_path() (anomalib.data.dataclasses.generic._ImageInputFields static method) validate_last_frame() (anomalib.data.dataclasses.generic._VideoInputFields static method) validate_mask_path() (anomalib.data.dataclasses.generic._InputFields static method) validate_metrics() (anomalib.metrics.Evaluator static method) validate_original_image() (anomalib.data.dataclasses.generic._VideoInputFields static method) validate_path() (in module anomalib.data.utils.path) validate_pred_label() (anomalib.data.dataclasses.generic._OutputFields static method) validate_pred_mask() (anomalib.data.dataclasses.generic._OutputFields static method) validate_pred_score() (anomalib.data.dataclasses.generic._OutputFields static method) validate_size_type() (anomalib.data.utils.tiler.Tiler static method) validate_target_frame() (anomalib.data.dataclasses.generic._VideoInputFields static method) validate_video_path() (anomalib.data.dataclasses.generic._VideoInputFields static method) validation_step() (anomalib.models.image.cfa.lightning_model.Cfa method) (anomalib.models.image.cflow.lightning_model.Cflow method) (anomalib.models.image.csflow.lightning_model.Csflow method) (anomalib.models.image.dfkde.lightning_model.Dfkde method) (anomalib.models.image.dfm.lightning_model.Dfm method) (anomalib.models.image.draem.lightning_model.Draem method) (anomalib.models.image.dsr.lightning_model.Dsr method) (anomalib.models.image.efficient_ad.lightning_model.EfficientAd method) (anomalib.models.image.fastflow.lightning_model.Fastflow method) (anomalib.models.image.fre.lightning_model.Fre method) (anomalib.models.image.ganomaly.lightning_model.Ganomaly method) (anomalib.models.image.padim.lightning_model.Padim method) (anomalib.models.image.patchcore.lightning_model.Patchcore method) (anomalib.models.image.reverse_distillation.lightning_model.ReverseDistillation method) (anomalib.models.image.stfpm.lightning_model.Stfpm method) (anomalib.models.image.supersimplenet.lightning_model.Supersimplenet method) (anomalib.models.image.uflow.lightning_model.Uflow method) (anomalib.models.image.vlm_ad.VlmAd method) (anomalib.models.image.winclip.lightning_model.WinClip method) (anomalib.models.video.ai_vad.lightning_model.AiVad method) ValSplitMode (class in anomalib.data.utils.split) value (anomalib.metrics.F1AdaptiveThreshold attribute) VectorQuantizer (class in anomalib.models.image.dsr.torch_model) VELOCITY (anomalib.models.video.ai_vad.features.FeatureType attribute) VelocityExtractor (class in anomalib.models.video.ai_vad.features) video_path (anomalib.data.dataclasses.generic._VideoInputFields attribute) VideoBatch (class in anomalib.data.dataclasses.torch) VideoItem (class in anomalib.data.dataclasses.torch) Visa (class in anomalib.data) (class in anomalib.data.datamodules.image.visa) visual_embeddings (anomalib.models.image.winclip.torch_model.WinClipModel property) VlmAd (class in anomalib.models.image.vlm_ad) vq_vae_bot (anomalib.models.image.dsr.torch_model.DiscreteLatentModel property) vq_vae_top (anomalib.models.image.dsr.torch_model.DiscreteLatentModel property) W weights (anomalib.models.components.cluster.GaussianMixture attribute) weights_init() (anomalib.models.image.ganomaly.torch_model.GanomalyModel static method) WinClip (class in anomalib.models.image.winclip.lightning_model) WinClipModel (class in anomalib.models.image.winclip.torch_model)
