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Checkpoints file and table5_pidinet model #6
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Namespace(ablation=False, checkinfo=False, config='carv4', datadir='/home/lu/pidinet-master/data/BSDS500/', dataset=['BSDS'], dil=True, epochs=20, eta=0.3, evaluate=None, evaluate_converted=False, gpu='0', iter_size=24, lmbda=1.1, lr=0.005, lr_steps=[10, 16], lr_type='multistep', model='pidinet', only_bsds=False, opt='adam', print_freq=10, resume=True, sa=True, save_freq=1, savedir='/home/lu/pidinet-master/table5_pidinet/', seed=1631092025, use_cuda=True, wd=0.0001, workers=4) |
python main.py --model pidinet --config carv4 --sa --dil --resume --iter-size 24 -j 4 --gpu 0 --epochs 20 --lr 0.005 --lr-type multistep --lr-steps 10-16 --wd 1e-4 --savedir /home/lu/pidinet-master/table5_pidinet/ --datadir /home/lu/pidinet-master/data/BSDS500/ --dataset BSDS |
The checkpoint files are in the google drive and can be downloaded by clicking the model names in the README table. Let me know if there are any question for downloading that. The error seems like to show the png files of the dataset are not found. Could you please check your png files if they are put in the path correctly? |
Thanks for your answer, I have solved this problem |
how to solve? |
Hello, where can I download the checkpoints file? I want to train a table5_pidinet model, but I have encountered some difficulties. Is it convenient for email to contact?
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