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#! /usr/bin/env python3
# Image dataset pre processor with name normalization
# by Jiri Podivin and Miroslav Jaros 2023
# v1.0
import os
import glob
import hashlib
import argparse
import re
import shutil
def main(source_path, dest_path):
img_paths = [
e for e in glob.glob(os.path.join(source_path, '**'))
if re.match(".*\.jpe?g", e, flags=re.IGNORECASE)]
for image in img_paths:
print(image)
path_hash = hashlib.sha1(image.encode()).hexdigest()
name_hash = hashlib.sha1(os.path.basename(image.encode())).hexdigest()
new_name = f"{path_hash[:10]}_{name_hash[:10]}.jpg"
shutil.copy(image, os.path.join(dest_path, new_name))
print(new_name)
if __name__ == '__main__':
parser = argparse.ArgumentParser("imageprocessor")
parser.add_argument("source_path", type=str)
parser.add_argument("dest_path", type=str)
args = parser.parse_args()
main(args.source_path, args.dest_path)
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