export CUDA_VISIBLE_DEVICES=0
DATA="REDS" # Vid4, Vimeo
MY_MODEL='MFDN'


# Generating SuperLR(SLR) images using pretrained MFDN, SFDN

# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode preset

# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 0.8
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 0.9
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 1.0
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 1.1
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 1.2
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 1.3
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 1.4
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 1.5
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode bicubic --sigma_x 1.6

# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 0.0
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 45.0
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 90.0
# python make_slr_images.py -m ${DATA} --model ${MY_MODEL} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 135.0

# Generating LR, SuperLR images using blur kernels

# python make_downscaled_images.py -m ${DATA} --degradation_mode preset

# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 0.8
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 0.9
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 1.0
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 1.1
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 1.2
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 1.3
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 1.4
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 1.5
# python make_downscaled_images.py -m ${DATA} --degradation_mode bicubic --sigma_x 1.6

# python make_downscaled_images.py -m ${DATA} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 0.0
# python make_downscaled_images.py -m ${DATA} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 45.0
# python make_downscaled_images.py -m ${DATA} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 90.0
# python make_downscaled_images.py -m ${DATA} --degradation_mode impulse --sigma_x 0.8 --sigma_y 1.6 --theta 135.0
