bin/emnist_preview

#!/home/aioz-nghiale/anaconda3/envs/testing_softzoo_pointe/bin/python3.10

import random
import argparse
from mnist import MNIST


if __name__ == "__main__":

    parser = argparse.ArgumentParser()
    parser.add_argument("--id", default=None, type=int,
                        help="ID (position) of the letter to show")
    parser.add_argument("--training", action="store_true",
                        help="Use training set instead of testing set")
    parser.add_argument("--dataset", default="digits",
                        help="EMNIST dataset to load")
    parser.add_argument("--data", default="./emnist_data",
                        help="Path to MNIST data dir")

    args = parser.parse_args()

    mn = MNIST(args.data)
    mn.select_emnist(args.dataset)

    if args.training:
        img, label = mn.load_training()
    else:
        img, label = mn.load_testing()

    if args.id:
        which = args.id
    else:
        which = random.randrange(0, len(label))

    print('Showing id {}, num: {}'.format(which, label[which]))

    # letters dataset uses A=1 B=2 ...
    if args.dataset == 'letters':
        print('Letter "{}"'.format(chr(label[which] + ord('a') - 1)))

    print(mn.display(img[which]))
    wat = img[which]
    #import IPython
    #IPython.embed()