Datasets:

---

Sim2Real

/

anomaly_detection_experiments

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Sim2Real 8

• "torch.nn.modules.linear.Identity",
• "anomalib.models.components.filters.blur.GaussianBlur2d",
• "torchmetrics.utilities.data.dim_zero_sum",
• "timm.layers.patch_embed.PatchEmbed",
• "pathlib.WindowsPath",
• "torch.FloatStorage",
• "numpy._core.multiarray.scalar",
• "anomalib.pre_processing.pre_processor.PreProcessor",
• "torchvision.transforms.v2._geometry.Resize",
• "anomalib.models.image.dinomaly.torch_model.DinomalyModel",
• "anomalib.models.image.dinomaly.components.layers.Block",
• "torchvision.transforms.functional.InterpolationMode",
• "timm.layers.format.Format",
• "torchmetrics.utilities.data.dim_zero_min",
• "anomalib.models.image.dinomaly.components.layers.LinearAttention",
• "torch.nn.modules.linear.Linear",
• "anomalib.models.components.dinov2.layers.layer_scale.LayerScale",
• "anomalib.metrics.f1_score.F1Score",
• "model_factory.SweptDinomaly",
• "anomalib.visualization.image.visualizer.ImageVisualizer",
• "anomalib.models.components.dinov2.layers.attention.MemEffAttention",
• "torch._utils._rebuild_parameter",
• "anomalib.models.image.dinomaly.torch_model.DecoderViTBlock",
• "__builtin__.set",
• "anomalib.metrics.evaluator.Evaluator",
• "lightning.fabric.utilities.data.AttributeDict",
• "anomalib.data.transforms.center_crop.ExportableCenterCrop",
• "torch.nn.modules.dropout.Dropout",
• "torchvision.transforms.v2._misc.Normalize",
• "anomalib.metrics.min_max.MinMax",
• "anomalib.models.image.dinomaly.components.loss.CosineHardMiningLoss",
• "collections.OrderedDict",
• "numpy.dtype",
• "torch.nn.modules.container.ModuleList",
• "anomalib.metrics.aupro.AUPRO",
• "anomalib.models.image.dinomaly.components.vision_transformer.DinoVisionTransformer",
• "anomalib.PrecisionType",
• "torchmetrics.metric.jit_distributed_available",
• "anomalib.post_processing.post_processor.PostProcessor",
• "torch._utils._rebuild_tensor_v2",
• "anomalib.metrics.threshold.f1_adaptive_threshold.F1AdaptiveThreshold",
• "torch.device",
• "anomalib.metrics.auroc.AUROC",
• "numpy.ndarray",
• "torch.LongStorage",
• "torch.nn.modules.conv.Conv2d",
• "anomalib.models.image.dinomaly.components.layers.DinomalyMLP",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.activation.GELU",
• "__builtin__.getattr",
• "torchmetrics.utilities.data.dim_zero_cat",
• "torchmetrics.utilities.data.dim_zero_max",
• "_codecs.encode",
• "numpy._core.multiarray._reconstruct",
• "torchvision.transforms.v2._container.Compose",
• "torch.float32"

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