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Thanks for sharing your code.
after downloading all the materials now I am running the bash get_mask_quality.sh but it is super slow and I am wondering how long that process should take? and what does that _work function in obtain_CAM_masking.py really do? do I need to do it?
The text was updated successfully, but these errors were encountered:
I think it depends on your machine, but it can be a bit slow because adversarial climbing is iteratively done by 27 times for 10,582 images. It took around 14 hours for me with 4 GPUs.
If you want to evaluate the quality of the initial seed shown in Table 1, you can just use get_seed_quality.sh, which operates only on 1,456 training images. However, if you want to get the final pseudo mask, you should run get_mask_quality.sh for the full 10,582 images.
Thanks for sharing your code.
after downloading all the materials now I am running the
bash get_mask_quality.sh
but it is super slow and I am wondering how long that process should take? and what does that_work
function in obtain_CAM_masking.py really do? do I need to do it?The text was updated successfully, but these errors were encountered: