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from collections import defaultdict |
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import json |
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import os |
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from pathlib import Path |
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from project_settings import project_path |
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def main(): |
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for subset in ["train", "test"]: |
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filename = project_path / "data/annotations/{}.json".format(subset) |
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with open(filename.as_posix(), "r", encoding="utf-8") as f: |
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js = json.load(f) |
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images = js["images"] |
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type_ = js["type"] |
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annotations = js["annotations"] |
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categories = js["categories"] |
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index_to_label = dict() |
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for category in categories: |
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index = category["id"] |
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name = category["name"] |
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index_to_label[index] = name |
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image_id_to_annotations = defaultdict(list) |
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for annotation in annotations: |
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image_id = annotation["image_id"] |
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image_id_to_annotations[image_id].append(annotation) |
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to_filename = project_path / "data/annotations/{}.jsonl".format(subset) |
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with open(to_filename.as_posix(), "w", encoding="utf-8") as f: |
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for image in images: |
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image_id = image["id"] |
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annotations = image_id_to_annotations[image_id] |
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image_path = Path("data/images") / image["file_name"] |
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row = { |
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"image_id": image["id"], |
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"image": image_path.as_posix(), |
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"width": image["width"], |
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"height": image["height"], |
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"objects": [ |
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{ |
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"id": annotation["id"], |
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"area": annotation["area"], |
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"bbox": annotation["bbox"], |
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"category": index_to_label[annotation["category_id"]], |
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} for annotation in annotations |
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] |
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} |
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row = json.dumps(row, ensure_ascii=False) |
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f.write("{}\n".format(row)) |
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return |
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if __name__ == '__main__': |
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main() |
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