#!/usr/bin/python3 # -*- coding: utf-8 -*- from collections import defaultdict import json import os from pathlib import Path from project_settings import project_path def main(): for subset in ["train", "test"]: filename = project_path / "data/annotations/{}.json".format(subset) with open(filename.as_posix(), "r", encoding="utf-8") as f: js = json.load(f) images = js["images"] type_ = js["type"] annotations = js["annotations"] categories = js["categories"] index_to_label = dict() for category in categories: index = category["id"] name = category["name"] index_to_label[index] = name # print(images) image_id_to_annotations = defaultdict(list) for annotation in annotations: image_id = annotation["image_id"] image_id_to_annotations[image_id].append(annotation) to_filename = project_path / "data/annotations/{}.jsonl".format(subset) with open(to_filename.as_posix(), "w", encoding="utf-8") as f: for image in images: image_id = image["id"] annotations = image_id_to_annotations[image_id] image_path = Path("data/images") / image["file_name"] row = { "image_id": image["id"], "image": image_path.as_posix(), "width": image["width"], "height": image["height"], "objects": [ { "id": annotation["id"], "area": annotation["area"], "bbox": annotation["bbox"], "category": index_to_label[annotation["category_id"]], } for annotation in annotations ] } row = json.dumps(row, ensure_ascii=False) f.write("{}\n".format(row)) return if __name__ == '__main__': main()