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Thanks for your open-source work.
I try to reproduce the BTCV performance based on your code, python train.py -net sam -mod sam_adpt -exp_name msa-3d-sam-btcv -sam_ckpt ./checkpoint/sam/sam_vit_b_01ec64.pth -image_size 192 -b 8 -dataset decathlon -thd True -chunk 96 -evl_chunk 96 -data_path ./data/ -num_sample 1 but the DICE results are unstable and much worse than paper report (~0.4 v.s., 0.883). Have you any suggestions or can you share the config or command reproducing the performance in BTCV. Thanks.
The text was updated successfully, but these errors were encountered:
Thanks for your open-source work.
I try to reproduce the BTCV performance based on your code,
python train.py -net sam -mod sam_adpt -exp_name msa-3d-sam-btcv -sam_ckpt ./checkpoint/sam/sam_vit_b_01ec64.pth -image_size 192 -b 8 -dataset decathlon -thd True -chunk 96 -evl_chunk 96 -data_path ./data/ -num_sample 1
but the DICE results are unstable and much worse than paper report (~0.4 v.s., 0.883). Have you any suggestions or can you share the config or command reproducing the performance in BTCV. Thanks.The text was updated successfully, but these errors were encountered: