Fetching metadata from the HF Docker repository...
Upload 3.jpg
9e64ba9
-
1.17 kB
initial commit
-
92.3 kB
Upload 1.jpg
-
93 kB
Upload 2.jpg
-
104 kB
Upload 3.jpg
-
242 Bytes
initial commit
-
486 Bytes
Upload app.py
best.pt
Detected Pickle imports (27)
- "models.common.Bottleneck",
- "models.common.Conv",
- "torch._utils._rebuild_parameter",
- "_codecs.encode",
- "torch.LongStorage",
- "torch._utils._rebuild_tensor_v2",
- "models.common.C3",
- "torch.nn.modules.container.ModuleList",
- "torch.nn.modules.container.Sequential",
- "numpy.core.multiarray._reconstruct",
- "torch.nn.modules.activation.SiLU",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.upsampling.Upsample",
- "collections.OrderedDict",
- "torch.FloatStorage",
- "models.yolo.Detect",
- "models.common.SPPF",
- "models.yolo.Model",
- "torch.HalfStorage",
- "torch.DoubleStorage",
- "__builtin__.set",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.nn.modules.pooling.MaxPool2d",
- "numpy.core.multiarray.scalar",
- "models.common.Concat",
- "numpy.ndarray",
- "numpy.dtype"
How to fix it?
56.9 MB
Upload best.pt with git-lfs
-
15 Bytes
Create packages.txt
-
150 Bytes
Create requirements.txt