Mercurial > repos > bgruening > yolo_predict

annotate json2yolosegment.py @ 0:13c24d4d6da0 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 67e0e1d123bcfffb10bab8cc04ae67259caec557
author bgruening
date Fri, 13 Jun 2025 11:23:57 +0000
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13c24d4d6da0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 67e0e1d123bcfffb10bab8cc04ae67259caec557
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1 import argparse
13c24d4d6da0 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 67e0e1d123bcfffb10bab8cc04ae67259caec557
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2 import json
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3 import os
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6 def convert_json_to_yolo(input_dir, save_dir, class_names_file):
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8 with open(class_names_file, 'r') as f:
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9 class_names = [line.strip() for line in f.readlines()]
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11 class_to_index = {class_name: i for i, class_name in enumerate(class_names)}
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13 for filename in os.listdir(input_dir):
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14 json_filepath = os.path.join(input_dir, filename)
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16 with open(json_filepath, 'r') as f:
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17 data = json.load(f)
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19 image_width = data.get('imageWidth')
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20 image_height = data.get('imageHeight')
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21 if image_width is None or image_height is None:
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22 print(f"Skipping {filename}: missing image dimensions.")
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23 return
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25 annotations = data.get('shapes', [])
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27 base, _ = os.path.splitext(filename)
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28 output_file = f"{base}.txt"
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29 output_filepath = os.path.join(save_dir, output_file)
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31 with open(output_filepath, 'w') as f:
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32 for annotation in annotations:
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33 label = annotation.get('label')
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34 class_index = class_to_index[label]
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36 points = annotation.get('points', [])
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38 if not points:
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39 print(f"No points found for annotation '{label}', skipping.")
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40 continue
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42 x = [point[0] / (image_width - 1) for point in points]
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43 y = [point[1] / (image_height - 1) for point in points]
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45 segmentation_points = ['{} {}'.format(x[i], y[i]) for i in range(len(x))]
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46 segmentation_points_string = ' '.join(segmentation_points)
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47 line = '{} {}\n'.format(class_index, segmentation_points_string)
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48 f.write(line)
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50 print(f"Converted annotations saved to: {output_filepath}")
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53 def main():
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54 parser = argparse.ArgumentParser(description="Convert JSON annotations to YOLO segment format.")
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55 parser.add_argument('-i', '--input_dir', type=str, help='Full path of the folder containing AnyLabeling JSON files.')
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56 parser.add_argument('-o', '--save_dir', type=str, help='Path to the directory to save converted YOLO files.')
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57 parser.add_argument('-c', '--class_names_file', type=str, help='Path to the text file containing class names, one per line.')
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58 args = parser.parse_args()
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60 convert_json_to_yolo(args.input_dir, args.save_dir, args.class_names_file)
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63 if __name__ == "__main__":
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64 main()