Fetching metadata from the HF Docker repository... iljung1106
Use single-eye
b1b0bc5 - app Use single-eye
- checkpoints_style Add bundled model + prototypes (LFS) and Gradio app
- scripts Disabled loading CUDA on main process
- yolov5_anime Add bundled model + prototypes (LFS) and Gradio app
- 41 Bytes Add bundled model + prototypes (LFS) and Gradio app
- 35.1 kB Add bundled model + prototypes (LFS) and Gradio app
- 514 Bytes Add bundled model + prototypes (LFS) and Gradio app
- 650 Bytes Add bundled model + prototypes (LFS) and Gradio app
- 842 kB Add bundled model + prototypes (LFS) and Gradio app
- 3.97 kB fixed using gpu on main problem
- 20 Bytes Add bundled model + prototypes (LFS) and Gradio app
- 127 Bytes add matplotlib
- 48.4 kB Disabled loading CUDA on main process
- 23.1 kB Use single-eye
yolov5x_anime.pt Detected Pickle imports (26)
- "models.common.Conv",
- "torch.nn.modules.container.Sequential",
- "collections.OrderedDict",
- "__builtin__.set",
- "_codecs.encode",
- "torch._utils._rebuild_tensor_v2",
- "models.common.BottleneckCSP",
- "models.yolo.Model",
- "numpy.dtype",
- "models.common.Bottleneck",
- "models.common.Focus",
- "models.common.SPP",
- "torch.nn.modules.pooling.MaxPool2d",
- "numpy.core.multiarray.scalar",
- "torch.FloatStorage",
- "models.common.Concat",
- "models.yolo.Detect",
- "torch.nn.modules.activation.LeakyReLU",
- "torch.nn.modules.conv.Conv2d",
- "torch.nn.modules.batchnorm.BatchNorm2d",
- "torch.LongStorage",
- "torch.nn.modules.container.ModuleList",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "torch._utils._rebuild_parameter",
- "torch.nn.modules.upsampling.Upsample"
How to fix it?
708 MB Add bundled model + prototypes (LFS) and Gradio app
