Fetching metadata from the HF Docker repository... - checkpoints Put all the models together (expect UI)
- data_preparation Put all the models together (expect UI)
- evaluation Put all the models together (expect UI)
- models Put all the models together (expect UI)
- notebooks Put all the models together (expect UI)
- public Merge UI Manually (expect main)
- src Merge UI Manually (expect main)
- tests update params
- ui Put all the models together (expect UI)
- 41 Bytes first commit
- 386 Bytes Put all the models together (expect UI)
- 914 Bytes Put all the models together (expect UI)
- 3.2 kB Put all the models together (expect UI)
- 21 Bytes Put all the models together (expect UI)
- 69 Bytes Put all the models together (expect UI)
- 758 Bytes Put all the models together (expect UI)
- 449 Bytes Put all the models together (expect UI)
- 38.9 kB Combine all updated main code together, forming new main.py
- 99.9 kB Put all the models together (expect UI)
- 605 Bytes Put all the models together (expect UI)
- 248 Bytes Fix open-cv GPU support problem (opencv library changed)
- 364 Bytes Put all the models together (expect UI)
yolov8n.pt Detected Pickle imports (23)
- "torch.nn.modules.activation.SiLU",
- "torch.Size",
- "collections.OrderedDict",
- "ultralytics.nn.modules.DFL",
- "ultralytics.nn.modules.C2f",
- "torch._utils._rebuild_tensor_v2",
- "torch.HalfStorage",
- "torch.nn.modules.conv.Conv2d",
- "ultralytics.nn.modules.Concat",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.container.Sequential",
- "__builtin__.set",
- "torch.FloatStorage",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.nn.modules.Conv",
- "torch.LongStorage",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "ultralytics.nn.tasks.DetectionModel",
- "ultralytics.nn.modules.Bottleneck",
- "ultralytics.nn.modules.Detect",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.nn.modules.container.ModuleList",
- "ultralytics.nn.modules.SPPF"
How to fix it?
6.53 MB Put all the models together (expect UI)
