| | |
| | |
| | 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 |
| |
|
| | |
| | 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() |
| |
|