new YoloV8 Models.
cdcfead
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1.48 kB
initial commit
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3.1 kB
Fixed person prototype, ready for hf spaces test.
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251 Bytes
First try at anonymizer app.
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2.81 kB
Fixed person prototype, ready for hf spaces test.
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2.27 kB
new YoloV8 Models.
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49 Bytes
new YoloV8 Models.
yolov8m-seg.pt
Detected Pickle imports (27)
- "__builtin__.getattr",
- "collections.OrderedDict",
- "ultralytics.nn.modules.Bottleneck",
- "ultralytics.nn.modules.Detect",
- "torch._utils._rebuild_tensor_v2",
- "ultralytics.nn.modules.Conv",
- "torch.nn.modules.activation.SiLU",
- "ultralytics.nn.modules.DFL",
- "torch.Size",
- "torch.nn.modules.conv.Conv2d",
- "torch.HalfStorage",
- "torch.nn.modules.pooling.MaxPool2d",
- "ultralytics.nn.modules.Proto",
- "ultralytics.nn.modules.Concat",
- "__builtin__.set",
- "torch.FloatStorage",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.container.Sequential",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.conv.ConvTranspose2d",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.nn.tasks.SegmentationModel",
- "torch.LongStorage",
- "ultralytics.nn.modules.SPPF",
- "ultralytics.nn.modules.Segment",
- "ultralytics.nn.modules.C2f"
How to fix it?
54.9 MB
new YoloV8 Models.
yolov8m_lp.pt
Detected Pickle imports (29)
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.loss.BCEWithLogitsLoss",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.pooling.MaxPool2d",
- "torch._utils._rebuild_tensor_v2",
- "ultralytics.nn.modules.block.C2f",
- "torch.nn.modules.activation.SiLU",
- "ultralytics.yolo.utils.tal.TaskAlignedAssigner",
- "ultralytics.yolo.utils.IterableSimpleNamespace",
- "torch.device",
- "ultralytics.nn.modules.conv.Conv",
- "torch.HalfStorage",
- "ultralytics.nn.modules.block.SPPF",
- "torch.Size",
- "torch.nn.modules.container.Sequential",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "ultralytics.yolo.utils.loss.v8DetectionLoss",
- "torch.LongStorage",
- "ultralytics.nn.tasks.DetectionModel",
- "collections.OrderedDict",
- "ultralytics.yolo.utils.loss.BboxLoss",
- "torch.nn.modules.upsampling.Upsample",
- "ultralytics.nn.modules.block.DFL",
- "ultralytics.nn.modules.conv.Concat",
- "ultralytics.nn.modules.head.Detect",
- "torch.FloatStorage",
- "ultralytics.nn.modules.block.Bottleneck",
- "dill._dill._load_type"
How to fix it?
52 MB
new YoloV8 Models.