| import json | |
| import os | |
| import glob | |
| from datasets import Dataset, Image | |
| def main(): | |
| workdir = "./sbu_captions" | |
| list_images = sorted(glob.glob(os.path.join(workdir, "**", "*.jpg"), recursive=True)) | |
| def gen(): | |
| for image_fn in list_images: | |
| js_fn = image_fn.replace(".jpg", ".json") | |
| with open(js_fn, "r", encoding="utf8") as reader: | |
| item = json.load(reader) | |
| for key in ["status", "error_message", "original_width", "original_height", "exif", "sha256"]: | |
| item.pop(key, None) | |
| item["image"] = image_fn | |
| item["filename"] = image_fn.replace(f"{workdir}/", "") | |
| yield item | |
| ds = Dataset.from_generator(gen) | |
| ds = ds.cast_column("image", Image()) | |
| ds.save_to_disk(f"{workdir}/datasets/data/train", max_shard_size="400MB") | |
| return | |
| if __name__ == "__main__": | |
| main() | |