Comments (6)
Hi @Owen-Liuyuxuan ,
I have problem when i run dla model because link http://dl.yf.io/dla/models don't activate. I try with another pretrain in timm library but I have an error that "RuntimeError: Only one file(not dir) is allowed in the zipfile". What pretrain i can use to replace this dla-102 pretrain.?
Thank you for your help.
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I have the same issue. Are there other paths to download pre-trained models?
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Hi @idjoopal,
In my opinion, this problem occurs because of conflict between PyTorch version. I tested another pretrain in this link https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/dla102-21f57b54.pth that it works in PyTorch with version is higher than 1.6.0. In my google collab is 1.12.1+cu113. But it can't work in PyTorch 1.4.0 version. Do you know how to convert its format? Thanks
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That is a good problem and the website is now offline.
I have reported the problem to the official repo first.
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Hi @Owen-Liuyuxuan,
The link is down. I downloaded pretrain in that to my local. Can you give how to read it with PyTorch version 1.4.0? I used torch.load() but it raise error: "RuntimeError: unexpected EOF, expected 381299 more bytes. The file might be corrupted." Thanks
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As reported here.
Now the link is back. You can download the official model to offline storage now.
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Related Issues (20)
- Pretrained weights HOT 2
- Dockerfile HOT 1
- cpu HOT 1
- Training on custom dataset with shifted camera angle HOT 1
- Template problem HOT 4
- Mismatch between 2D bbox and projected 3D bbox after affine transformation HOT 2
- Support for mono 3D random resize augmentation HOT 4
- Preprocessing another data HOT 7
- How to Create Custom DATA Like Kitti HOT 1
- How to build ops (deform convs and iou3d)?
- 运行./launchers/det_precompute.sh config/Stereo3D.py train时报错 HOT 5
- 请问大佬使用的双目匹配方法和stereo3d.md文件的作用 HOT 3
- 请问作者有没有检测视频和摄像头的代码 HOT 2
- About lack of dataset HOT 2
- which datasets to download?
- Inference on Nuscenes HOT 1
- The Version of pytorch /cuda HOT 1
- 自制的KITTI数据集训练闪退问题 HOT 3
- Problem with allocating memory (CUDA out of memory) HOT 2
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