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ultralytics
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segment_defect.pt
Detected Pickle imports (48)
- "transformers.models.dinov2.modeling_dinov2.Dinov2Layer",
- "torch.nn.modules.activation.Tanh",
- "transformers.models.dinov2.modeling_dinov2.Dinov2Embeddings",
- "transformers.models.dinov2.modeling_dinov2.Dinov2SelfOutput",
- "torch._utils._rebuild_parameter",
- "transformers.models.dinov2.modeling_dinov2.Dinov2Model",
- "ultralytics.nn.modules.conv.DWConv",
- "torch.float32",
- "ultralytics.nn.modules.block.DINO3Backbone",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.upsampling.Upsample",
- "torch.nn.modules.container.Sequential",
- "transformers.models.dinov2.configuration_dinov2.Dinov2Config",
- "torch.nn.modules.normalization.LayerNorm",
- "torch.nn.modules.linear.Identity",
- "torch._C._nn.gelu",
- "ultralytics.nn.tasks.DetectionModel",
- "ultralytics.nn.modules.head.Detect",
- "transformers.models.dinov2.modeling_dinov2.Dinov2SelfAttention",
- "torch.nn.modules.activation.ReLU",
- "torch.nn.modules.dropout.Dropout",
- "torch.nn.modules.activation.SiLU",
- "collections.OrderedDict",
- "ultralytics.nn.modules.block.AAttn",
- "torch.FloatStorage",
- "__builtin__.set",
- "transformers.models.dinov2.modeling_dinov2.Dinov2PatchEmbeddings",
- "ultralytics.nn.modules.block.C3k",
- "ultralytics.nn.modules.block.ABlock",
- "ultralytics.nn.modules.conv.Concat",
- "torch.HalfStorage",
- "torch.nn.modules.activation.GELU",
- "ultralytics.nn.modules.block.DFL",
- "transformers.activations.GELUActivation",
- "ultralytics.nn.modules.block.C3k2",
- "ultralytics.nn.modules.conv.Conv",
- "ultralytics.nn.modules.block.Bottleneck",
- "transformers.models.dinov2.modeling_dinov2.Dinov2Attention",
- "torch.nn.modules.linear.Linear",
- "ultralytics.nn.modules.block.A2C2f",
- "torch.LongStorage",
- "transformers.models.dinov2.modeling_dinov2.Dinov2Encoder",
- "transformers.models.dinov2.modeling_dinov2.Dinov2LayerScale",
- "torch.Size",
- "transformers.models.dinov2.modeling_dinov2.Dinov2MLP",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.batchnorm.BatchNorm2d"
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