for file in "images"/*; do IFS='/' # space is set as delimiter read -ra ADDR <<< "$file" # str is read into an array as tokens separated by IFS IFS=' ' image=${ADDR[1]%".png"} echo $image if [ "$image" != "calibration" ] || [ "$image" != *"min_max_values"* ]; then #for metric in {"lab","mscn_revisited","low_bits_2","low_bits_3","low_bits_4","low_bits_5","low_bits_6","low_bits_4_shifted_2"}; do for metric in {"lab","low_bits_5","low_bits_4_shifted_2"}; do for noise in {"cauchy","gaussian","laplace","log_normal","mut_white","white","salt_pepper"}; do for mode in {"svdn","svdne"}; do for error in {"MAE","MSE"}; do filename_prefix="${image}_${noise}_1_to_1000_B30_E800_${metric}_S30_norm" filename_suffix="_${mode}_${error}" if [ ! -f "curves_pictures/${filename_prefix}0${filename_suffix}.png" ]; then python noise_svd_tend_visualization.py --prefix generated/${image}/${noise} --metric ${metric} --n 1000 --mode ${mode} --interval "30, 800" --step 30 --norm 0 --ylim "0, 0.05" --error ${error} else echo "Already generated.." fi if [ ! -f "curves_pictures/${filename_prefix}1${filename_suffix}.png" ]; then python noise_svd_tend_visualization.py --prefix generated/${image}/${noise} --metric ${metric} --n 1000 --mode ${mode} --interval "30, 800" --step 30 --norm 1 --ylim "0, 0.1" --error ${error} else echo "Already generated.." fi if [ ! -f "curves_pictures/${filename_prefix}0${filename_suffix}_color.png" ]; then python noise_svd_tend_visualization.py --prefix generated/${image}/${noise} --metric ${metric} --n 1000 --mode ${mode} --interval "30, 800" --step 30 --norm 0 --color 1 --ylim "0, 0.05" --error ${error} else echo "Already generated.." fi if [ ! -f "curves_pictures/${filename_prefix}1${filename_suffix}_color.png" ]; then python noise_svd_tend_visualization.py --prefix generated/${image}/${noise} --metric ${metric} --n 1000 --mode ${mode} --interval "30, 800" --step 30 --norm 1 --color 1 --ylim "0, 0.1" --error ${error} else echo "Already generated.." fi done done done done fi done