Created
January 24, 2022 16:22
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| import convert as via2coco | |
| # set class index (can be either 0 or 1) | |
| first_class_index = 0 | |
| # for those who decided to go with their own annotations | |
| # data_path = '/content/annotations/output/' | |
| # for those who downloaded from github | |
| data_path = '/content/scrapped_data' | |
| for keyword in ['train', 'val']: | |
| input_dir = data_path + '/' + keyword + '/' | |
| input_json = input_dir + 'via_region_data.json' | |
| categories = ['cigarette'] | |
| super_categories = ['N/A'] | |
| # save the standard as custom_train or custom_val | |
| output_json = input_dir + 'custom_' + keyword + '.json' | |
| print('Converting {} from VIA format to COCO format'.format(input_json)) | |
| coco_dict = via2coco.convert( | |
| imgdir=input_dir, | |
| annpath=input_json, | |
| categories=categories, | |
| super_categories=super_categories, | |
| output_file_name=output_json, | |
| first_class_index=first_class_index, | |
| ) |
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