tools/data/textdet/coco_to_line_dict.py

# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json

import mmcv

from mmocr.utils import list_to_file


def parse_coco_json(in_path):
    json_obj = mmcv.load(in_path)
    image_infos = json_obj['images']
    annotations = json_obj['annotations']
    imgid2imgname = {}
    img_ids = []
    for image_info in image_infos:
        imgid2imgname[image_info['id']] = image_info
        img_ids.append(image_info['id'])
    imgid2anno = {}
    for img_id in img_ids:
        imgid2anno[img_id] = []
    for anno in annotations:
        img_id = anno['image_id']
        new_anno = {}
        new_anno['iscrowd'] = anno['iscrowd']
        new_anno['category_id'] = anno['category_id']
        new_anno['bbox'] = anno['bbox']
        new_anno['segmentation'] = anno['segmentation']
        if img_id in imgid2anno.keys():
            imgid2anno[img_id].append(new_anno)

    return imgid2imgname, imgid2anno


def gen_line_dict_file(out_path, imgid2imgname, imgid2anno):
    lines = []
    for key, value in imgid2imgname.items():
        if key in imgid2anno:
            anno = imgid2anno[key]
            line_dict = {}
            line_dict['file_name'] = value['file_name']
            line_dict['height'] = value['height']
            line_dict['width'] = value['width']
            line_dict['annotations'] = anno
            lines.append(json.dumps(line_dict))
    list_to_file(out_path, lines)


def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument('--in-path', help='input json path with coco format')
    parser.add_argument(
        '--out-path', help='output txt path with line-json format')

    args = parser.parse_args()
    return args


def main():
    args = parse_args()
    imgid2imgname, imgid2anno = parse_coco_json(args.in_path)
    gen_line_dict_file(args.out_path, imgid2imgname, imgid2anno)
    print('finish')


if __name__ == '__main__':
    main()