Delete loading script auxiliary file
Browse files- examples/make_jsonl.py +0 -64
examples/make_jsonl.py
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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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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# print(images)
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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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