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eval.sh
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#python evaluation.py --test_root '/media/luo/data/MDSR1_results/real_world_img' --Q_list 'jpeg10,jpeg20,jpeg30,jpeg40,jpeg50,webp5,webp10,webp20,webp30,webp40' --n_colors 3 --rgb_range 255 --n_resblocks 12 --n_feats 64 --n_resgroups1 5 --n_resgroups2 5 --SR_name 'BidirectionFeedbackModel' --recur_step 3 --main_model 'RCAN' --epoch 150 --sr_factor 2
#python evaluation.py --test_root '/media/luo/data/data/super-resolution/Kodak' --Q_list 'jpeg10,jpeg20,jpeg30,jpeg40,jpeg50,webp5,webp10,webp20,webp30,webp40' --n_colors 3 --rgb_range 255 --n_resblocks 12 --n_feats 64 --n_resgroups1 5 --n_resgroups2 5 --SR_name 'PSIARREModel' --recur_step 3 --main_model 'RCAN' --epoch 141 --sr_factor 3
python evaluation.py --test_root '/media/lhm/Samsung_T5/lhm_CISR(work1)/data/Kodak' --Q_list 'jpeg10,jpeg20,jpeg30,jpeg40,jpeg50,webp5,webp10,webp20,webp30,webp40' --n_colors 3 --rgb_range 255 --n_resblocks 12 --n_feats 64 --n_resgroups1 5 --n_resgroups2 5 --SR_name 'PSIARREModel' --recur_step 3 --main_model 'RCAN' --epoch 150 --sr_factor 3