Comments (1)
OK, I have solved this problem with the help of my mentor.
It must be that when creating a new conda env, the version of CUDA in this env is not matched with that in the server home, and thus when moving the model to GPU, something wrong happened, what a terrible problem!
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Related Issues (20)
- OHEM HOT 2
- cam multiplied by GT label? HOT 1
- why the final experiments result on test _set is better than it on val_set?
- Can u give some detail about training? HOT 3
- GPU and batch size? HOT 4
- Background threshold? HOT 2
- 关于CRF的参数设置
- training with my custom dataset HOT 6
- result images HOT 1
- Confused about the code: "cam = np.flip(cam, axis=-1)"
- Exception during running train_SEAM.py
- Question about affinityNet Inference HOT 9
- 医学图像的分割 HOT 2
- infer_seam npy
- 如何利用自己的数据集进行训练
- .
- About code
- cam_full_arr[k+1] = v out of bounds HOT 2
- crf code should be changed
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