Fetching metadata from the HF Docker repository... 
Update anomaly_gradio.py
bc6ff6a verified - Anomaly Clean deploy to Hugging Face Space
- Seg_Anomaly Adding Saeed Part
- pages Clean deploy to Hugging Face Space
- 1.52 kB initial commit
- 237 Bytes initial commit
- 3.12 kB Update anomaly_gradio.py
- 9.25 kB Update app.py
best_object.pt Detected Pickle imports (33)
- "ultralytics.nn.modules.head.Detect",
- "ultralytics.nn.modules.block.DFL",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.utils.IterableSimpleNamespace",
- "torch.nn.modules.loss.BCEWithLogitsLoss",
- "ultralytics.nn.modules.conv.Conv",
- "ultralytics.utils.loss.DFLoss",
- "torch.LongStorage",
- "ultralytics.nn.modules.block.SPPF",
- "torch.FloatStorage",
- "ultralytics.utils.loss.BboxLoss",
- "torch.nn.modules.activation.SiLU",
- "ultralytics.utils.tal.TaskAlignedAssigner",
- "ultralytics.nn.modules.block.Bottleneck",
- "torch.nn.modules.container.ModuleList",
- "__builtin__.set",
- "_codecs.encode",
- "torch.nn.modules.container.Sequential",
- "ultralytics.nn.modules.block.C2f",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.Size",
- "ultralytics.nn.tasks.DetectionModel",
- "torch.nn.modules.pooling.MaxPool2d",
- "numpy.dtype",
- "ultralytics.utils.loss.v8DetectionLoss",
- "torch.HalfStorage",
- "collections.OrderedDict",
- "torch.device",
- "torch._utils._rebuild_tensor_v2",
- "torch._utils._rebuild_parameter",
- "numpy._core.multiarray.scalar",
- "ultralytics.nn.modules.conv.Concat"
How to fix it?
12.3 MB Adding Saeed Part - 203 MB Adding Weather Files
- 115 MB Adding Weather Files
- 2.65 kB Splitting the sections
- 9.17 MB Adding Saeed Part
- 151 Bytes Adding Weather Files
- 3.09 kB Splitting the sections
- 3.54 kB Splitting the sections
- 26.8 MB Clean deploy to Hugging Face Space
- 97.9 MB Clean deploy to Hugging Face Space
- 3.28 kB Splitting the sections
