| |
| |
| 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() |
|
|
