# Generate images based on trained models

mkdir result_{1..4}/generated

# list_1_d2n.csv is the inversly validation list while list_1_n2d.csv is the training list

python3 generate_images.py -c -v -i list_1_n2d.csv -o result_1

python3 generate_images.py -c -v -i list_2_n2d.csv -o result_2

python3 generate_images.py -c -v -i list_3_n2d.csv -o result_3

python3 generate_images.py -c -v -i list_4_n2d.csv -o result_4

# Define a main function

main()

}

# Scanning for each folders and make the animation

main result_1/generated/

main result_2/generated/

main result_3/generated/

main result_4/generated/