Fetching metadata from the HF Docker repository... - .streamlit Add Streamlit config for file uploads
- models Initial deploy: TrafficSense AI
- src Duplicate from streamlit/streamlit-template-space
- utils Use local YOLOv7 source
- 1.56 kB Initial deploy: TrafficSense AI
- 33 Bytes Remove pycache files
- 685 Bytes updated pdf
- 4.17 kB Update README.md
best.pt Detected Pickle imports (28)
- "numpy.core.multiarray._reconstruct",
- "torch.nn.modules.upsampling.Upsample",
- "torch.nn.modules.container.Sequential",
- "torch.HalfStorage",
- "torch.nn.modules.activation.SiLU",
- "numpy.ndarray",
- "torch.DoubleStorage",
- "numpy.dtype",
- "models.common.MP",
- "models.common.Concat",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch._utils._rebuild_tensor_v2",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.pooling.MaxPool2d",
- "models.common.ImplicitA",
- "collections.OrderedDict",
- "models.common.SPPCSPC",
- "models.yolo.IDetect",
- "models.common.ImplicitM",
- "torch.FloatStorage",
- "models.yolo.Model",
- "__builtin__.set",
- "torch._utils._rebuild_parameter",
- "_codecs.encode",
- "models.common.RepConv",
- "torch.LongStorage",
- "models.common.Conv",
- "torch.nn.modules.container.ModuleList"
How to fix it?
74.8 MB Initial deploy: TrafficSense AI - 1.07 MB Initial deploy: TrafficSense AI
- 3.44 kB Update traffic-sense AI
- 185 Bytes updated pdf
- 31.1 kB Update traffic-sense AI
