Fetching metadata from the HF Docker repository... 
Update app.py
28c8e1e verified - 1.52 kB initial commit
- 297 kB Upload 28945350-721a-48a9-8960-e7053b6bdbeb.jpg with huggingface_hub
- 76.3 kB Upload 408b7062-ddd8-45c6-8fe4-f55b5a32a8d4.jpg with huggingface_hub
- 76.3 kB Upload 4d60a1e1-766e-4986-b093-a15b9b491920.jpg with huggingface_hub
- 232 kB Upload 4ec256d0-014c-45c4-bfb0-ad9e203238c6.jpg with huggingface_hub
- 246 Bytes initial commit
- 2.34 kB Update app.py
- 76.3 kB Upload b523cf9e-6007-4d76-8c8b-683b2cd49985.jpg with huggingface_hub
best.pt Detected Pickle imports (31)
- "torch.FloatStorage",
- "ultralytics.nn.modules.block.DFL",
- "ultralytics.nn.modules.block.C2f",
- "torch.nn.modules.container.ModuleList",
- "ultralytics.utils.IterableSimpleNamespace",
- "ultralytics.nn.modules.conv.Concat",
- "torch.device",
- "ultralytics.utils.tal.TaskAlignedAssigner",
- "torch.nn.modules.conv.ConvTranspose2d",
- "torch.nn.modules.loss.BCEWithLogitsLoss",
- "torch.HalfStorage",
- "ultralytics.nn.modules.block.Proto",
- "torch.nn.modules.upsampling.Upsample",
- "torch.nn.modules.container.Sequential",
- "__builtin__.set",
- "ultralytics.utils.loss.v8SegmentationLoss",
- "torch.nn.modules.conv.Conv2d",
- "ultralytics.nn.modules.conv.Conv",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "collections.OrderedDict",
- "torch.nn.modules.activation.SiLU",
- "torch._utils._rebuild_tensor_v2",
- "torch.LongStorage",
- "ultralytics.nn.modules.block.SPPF",
- "ultralytics.nn.modules.head.Segment",
- "torch.nn.modules.pooling.MaxPool2d",
- "ultralytics.nn.tasks.SegmentationModel",
- "torch.Size",
- "ultralytics.nn.modules.block.Bottleneck",
- "torch._utils._rebuild_parameter",
- "ultralytics.utils.loss.BboxLoss"
How to fix it?
54.8 MB Upload best.pt - 100 Bytes Upload detection_results.csv with huggingface_hub
- 77 Bytes Create requirements.txt
