Mercurial > repos > bgruening > json2yolosegment
view json2yolosegment.py @ 1:dfda27273ead draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 9685f843a52451b3416416094cc0e740f8825dcc
author | bgruening |
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date | Mon, 07 Jul 2025 06:47:08 +0000 |
parents | 252fd085940d |
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import argparse import json import os def convert_json_to_yolo(input_dir, save_dir, class_names_file): with open(class_names_file, 'r') as f: class_names = [line.strip() for line in f.readlines()] class_to_index = {class_name: i for i, class_name in enumerate(class_names)} for filename in os.listdir(input_dir): json_filepath = os.path.join(input_dir, filename) with open(json_filepath, 'r') as f: data = json.load(f) image_width = data.get('imageWidth') image_height = data.get('imageHeight') if image_width is None or image_height is None: print(f"Skipping {filename}: missing image dimensions.") return annotations = data.get('shapes', []) base, _ = os.path.splitext(filename) output_file = f"{base}.txt" output_filepath = os.path.join(save_dir, output_file) with open(output_filepath, 'w') as f: for annotation in annotations: label = annotation.get('label') class_index = class_to_index[label] points = annotation.get('points', []) if not points: print(f"No points found for annotation '{label}', skipping.") continue x = [point[0] / (image_width - 1) for point in points] y = [point[1] / (image_height - 1) for point in points] segmentation_points = ['{} {}'.format(x[i], y[i]) for i in range(len(x))] segmentation_points_string = ' '.join(segmentation_points) line = '{} {}\n'.format(class_index, segmentation_points_string) f.write(line) print(f"Converted annotations saved to: {output_filepath}") def main(): parser = argparse.ArgumentParser(description="Convert JSON annotations to YOLO segment format.") parser.add_argument('-i', '--input_dir', type=str, help='Full path of the folder containing AnyLabeling JSON files.') parser.add_argument('-o', '--save_dir', type=str, help='Path to the directory to save converted YOLO files.') parser.add_argument('-c', '--class_names_file', type=str, help='Path to the text file containing class names, one per line.') args = parser.parse_args() convert_json_to_yolo(args.input_dir, args.save_dir, args.class_names_file) if __name__ == "__main__": main()