Comments (5)
sh7jacobi
commented on July 23, 2024
This happens with borderdet.dcnv2.x101.64x4d.fpn.coco.800size.2x
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sh7jacobi
commented on July 23, 2024
the same case for borderdet.dcnv2.x101.32x8d.fpn.coco.800size.2x
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sh7jacobi
commented on July 23, 2024
It also has the error with borderdet.x101.32x8d.fpn.coco.800size.2x, borderdet.x101.64x4d.fpn.coco.800size.2x. But It works with borderdet.res101.fpn.coco.800size.2x.
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sh7jacobi
commented on July 23, 2024
I guess there is no access for pretrained weight by url. I remove line weights in config.py and training has been run.
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FateScript
commented on July 23, 2024
Yes, the weights of that url is removed.
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Related Issues (20)
- example for instance segmentation. HOT 2
- AssertionError: Requires PyTorch >= 1.3 HOT 1
- How to trun on evaluation during the training. HOT 2
- Details of enhacing the single point feature with region features? HOT 2
- 一个不成熟的小建议 HOT 2
- > 1. They are the same.
- I have the same question. HOT 1
- I wonder how you implement border align? HOT 1
- How do you realize border feature extracting in Table 1? HOT 2
- Border Feature Extraction HOT 2
- code issue HOT 1
- Can not reproduce the results. HOT 2
- where is the implementation details of border_align_forward HOT 2
- How to solve the error "cuda runtime error (98) : invalid device function" when run the borderDet? HOT 4
- Error at inference
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- 论文图2中的实验也是在coarse的分支基础上，再添加新的分支来实现的吗
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