Spaces:
Runtime error
Runtime error
Fetching metadata from the HF Docker repository...
Ctrl+K
This space has 1 file scanned as unsafe.
- CVAT_download Add missing important files: _app_.py, utils/, CVAT_download/, manifest.json, and documentation
- compare Add test_combined_models.py and compare/ folder (excluding cvat_project_7_export and Annika 2 folders)
- utils Add missing important files: _app_.py, utils/, CVAT_download/, manifest.json, and documentation
- 1.52 kB initial commit
- 637 Bytes Update .gitignore to allow model files
- 4.94 kB Add missing important files: _app_.py, utils/, CVAT_download/, manifest.json, and documentation
- 255 Bytes added my whole app
- 65.7 kB Add missing important files: _app_.py, utils/, CVAT_download/, manifest.json, and documentation
- 32.3 kB Add error handling for model crashes and update .gitignore
- best_catmus.pt365 MB
Detected Pickle imports (38)
- "ultralytics.nn.modules.block.RepCSP",
- "ultralytics.utils.IterableSimpleNamespace",
- "ultralytics.nn.modules.conv.Concat",
- "ultralytics.nn.modules.block.RepNCSPELAN4",
- "ultralytics.nn.tasks.SegmentationModel",
- "torch.nn.modules.linear.Identity",
- "ultralytics.nn.modules.block.RepBottleneck",
- "torch.device",
- "torch.LongStorage",
- "__builtin__.set",
- "torch._utils._rebuild_tensor_v2",
- "ultralytics.nn.modules.block.DFL",
- "torch.FloatStorage",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.conv.Conv2d",
- "ultralytics.nn.modules.head.Segment",
- "collections.OrderedDict",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.conv.ConvTranspose2d",
- "torch.nn.modules.loss.BCEWithLogitsLoss",
- "ultralytics.nn.modules.block.SPPELAN",
- "ultralytics.utils.tal.TaskAlignedAssigner",
- "ultralytics.utils.loss.v8SegmentationLoss",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.Size",
- "ultralytics.nn.modules.conv.RepConv",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.utils.loss.BboxLoss",
- "ultralytics.utils.loss.DFLoss",
- "ultralytics.nn.modules.block.Proto",
- "torch.nn.modules.container.ModuleList",
- "torch.HalfStorage",
- "torch.nn.modules.container.Sequential",
- "ultralytics.nn.modules.block.CBLinear",
- "ultralytics.nn.modules.block.CBFuse",
- "ultralytics.nn.modules.conv.Conv",
- "ultralytics.nn.modules.block.ADown",
- "torch._utils._rebuild_parameter"
xetUpload best_catmus.pt with huggingface_hub - best_emanuskript_segmentation.pt122 MB
Detected Pickle imports (31)
- "ultralytics.nn.modules.block.RepCSP",
- "ultralytics.nn.modules.conv.Concat",
- "ultralytics.nn.modules.block.RepNCSPELAN4",
- "ultralytics.nn.tasks.SegmentationModel",
- "torch.nn.modules.linear.Identity",
- "ultralytics.nn.modules.block.RepBottleneck",
- "torch.LongStorage",
- "__builtin__.set",
- "torch._utils._rebuild_tensor_v2",
- "ultralytics.nn.modules.block.DFL",
- "torch.FloatStorage",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.conv.Conv2d",
- "ultralytics.nn.modules.head.Segment",
- "collections.OrderedDict",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.conv.ConvTranspose2d",
- "ultralytics.nn.modules.block.SPPELAN",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch.Size",
- "ultralytics.nn.modules.conv.RepConv",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.nn.modules.block.Proto",
- "torch.nn.modules.container.ModuleList",
- "torch.HalfStorage",
- "torch.nn.modules.container.Sequential",
- "ultralytics.nn.modules.block.CBLinear",
- "ultralytics.nn.modules.block.CBFuse",
- "ultralytics.nn.modules.conv.Conv",
- "ultralytics.nn.modules.block.ADown",
- "torch._utils._rebuild_parameter"
xetUpload best_emanuskript_segmentation.pt with huggingface_hub - best_line_detection_yoloe (1).pt20.5 MB
Detected Pickle imports (33)
- "ultralytics.nn.modules.block.Attention",
- "torch.nn.modules.conv.ConvTranspose2d",
- "ultralytics.nn.modules.head.YOLOESegment",
- "torch.HalfStorage",
- "ultralytics.nn.modules.conv.Conv",
- "torch.nn.modules.linear.Identity",
- "ultralytics.nn.modules.block.C3k",
- "ultralytics.nn.modules.block.DFL",
- "torch.nn.modules.activation.SiLU",
- "ultralytics.nn.modules.block.SPPF",
- "ultralytics.nn.modules.block.BNContrastiveHead",
- "torch.Size",
- "ultralytics.nn.tasks.YOLOESegModel",
- "collections.OrderedDict",
- "torch.nn.modules.conv.Conv2d",
- "ultralytics.nn.modules.conv.Concat",
- "ultralytics.nn.modules.block.C2PSA",
- "torch.nn.modules.container.ModuleList",
- "__builtin__.getattr",
- "ultralytics.nn.modules.block.PSABlock",
- "__builtin__.set",
- "torch.nn.modules.container.Sequential",
- "ultralytics.nn.modules.conv.DWConv",
- "ultralytics.nn.modules.block.C3k2",
- "torch.nn.modules.upsampling.Upsample",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch._utils._rebuild_parameter",
- "torch._utils._rebuild_tensor_v2",
- "torch.LongStorage",
- "ultralytics.nn.modules.block.Proto",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.FloatStorage",
- "ultralytics.nn.modules.block.Bottleneck"
xetadded my whole app - best_zone_detection.pt82.6 MB
Detected Pickle imports (40)
- "ultralytics.utils.IterableSimpleNamespace",
- "ultralytics.nn.modules.conv.Concat",
- "ultralytics.nn.tasks.DetectionModel",
- "torch.nn.modules.linear.Identity",
- "ultralytics.nn.modules.block.C2fCIB",
- "ultralytics.nn.modules.block.SPPF",
- "ultralytics.utils.loss.E2EDetectLoss",
- "torch.device",
- "torch.LongStorage",
- "__builtin__.set",
- "torch._utils._rebuild_tensor_v2",
- "ultralytics.nn.modules.block.DFL",
- "torch.FloatStorage",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.conv.Conv2d",
- "numpy.core.multiarray.scalar",
- "ultralytics.utils.loss.v8DetectionLoss",
- "ultralytics.nn.modules.block.SCDown",
- "ultralytics.nn.modules.block.CIB",
- "collections.OrderedDict",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "ultralytics.nn.modules.head.v10Detect",
- "ultralytics.nn.modules.block.PSA",
- "torch.nn.modules.loss.BCEWithLogitsLoss",
- "ultralytics.utils.tal.TaskAlignedAssigner",
- "ultralytics.nn.modules.block.Bottleneck",
- "torch.nn.modules.pooling.MaxPool2d",
- "ultralytics.nn.modules.block.Attention",
- "torch.Size",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.utils.loss.BboxLoss",
- "ultralytics.utils.loss.DFLoss",
- "torch.nn.modules.container.ModuleList",
- "torch.HalfStorage",
- "torch.nn.modules.container.Sequential",
- "_codecs.encode",
- "ultralytics.nn.modules.conv.Conv",
- "ultralytics.nn.modules.block.C2f",
- "numpy.dtype",
- "torch._utils._rebuild_parameter"
xetUpload best_zone_detection.pt with huggingface_hub - 12.6 MB xetadded my whole app
- 284 Bytes Add missing important files: _app_.py, utils/, CVAT_download/, manifest.json, and documentation
- 61 Bytes added my whole app
- 11 kB Add test_combined_models.py and compare/ folder (excluding cvat_project_7_export and Annika 2 folders)
- zones_model_weights.pt19.2 MB
Detected Pickle imports (29)
- "ultralytics.nn.modules.block.Attention",
- "torch.HalfStorage",
- "ultralytics.nn.modules.conv.Conv",
- "torch.nn.modules.linear.Identity",
- "ultralytics.nn.modules.block.C3k",
- "ultralytics.nn.modules.block.DFL",
- "torch.nn.modules.activation.SiLU",
- "ultralytics.nn.modules.block.SPPF",
- "torch.Size",
- "collections.OrderedDict",
- "torch.nn.modules.conv.Conv2d",
- "ultralytics.nn.modules.conv.Concat",
- "ultralytics.nn.tasks.DetectionModel",
- "ultralytics.nn.modules.block.C2PSA",
- "torch.nn.modules.container.ModuleList",
- "ultralytics.nn.modules.block.PSABlock",
- "__builtin__.set",
- "torch.nn.modules.container.Sequential",
- "ultralytics.nn.modules.conv.DWConv",
- "ultralytics.nn.modules.block.C3k2",
- "torch.nn.modules.upsampling.Upsample",
- "torch.nn.modules.pooling.MaxPool2d",
- "ultralytics.nn.modules.head.Detect",
- "torch._utils._rebuild_parameter",
- "torch._utils._rebuild_tensor_v2",
- "torch.LongStorage",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.FloatStorage",
- "ultralytics.nn.modules.block.Bottleneck"
xetadded my whole app