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I trained it with python3 segment.py train -d <data_folder> -c <category_number> -s 896 --arch drn_d_22 --batch-size 14 --epochs 250 --lr 0.001 --momentum 0.99 --step 100, and multi-scale test only get 66.49.
It seems that you have many GPUs, you may use a huge batch-size or big crop size, right?
The text was updated successfully, but these errors were encountered:
Hi @acgtyrant would you be able to upload the models to e.g. dropbox as they don't seem to be accessible on the Princeton site? That'd be awesome! : 👏 😎
I trained it with
python3 segment.py train -d <data_folder> -c <category_number> -s 896 --arch drn_d_22 --batch-size 14 --epochs 250 --lr 0.001 --momentum 0.99 --step 100
, and multi-scale test only get 66.49.It seems that you have many GPUs, you may use a huge batch-size or big crop size, right?
The text was updated successfully, but these errors were encountered: