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from pydantic import BaseModel |
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from pathlib import Path |
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import tarfile |
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import pickle |
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import logging |
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import argparse |
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logging.basicConfig(level=logging.INFO) |
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logger = logging.getLogger(__name__) |
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def setup_parser(): |
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parser = argparse.ArgumentParser(description="Save images from all scenarios") |
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parser.add_argument( |
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"--visual_genome_images_dir", |
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type=str, |
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required=True, |
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help="Path to VisualGenome images directory allImages/images", |
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) |
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return parser |
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class DataSplits(BaseModel): |
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train: dict[str, list[str]] |
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test: dict[str, list[str]] |
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class MetashiftData(BaseModel): |
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selected_classes: list[str] |
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spurious_class: str |
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train_context: str |
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test_context: str |
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data_splits: DataSplits |
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class MetashiftFactory(object): |
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visual_genome_images_dir: str |
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def __init__( |
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self, |
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visual_genome_images_dir: str, |
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): |
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""" |
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visual_genome_images_dir: Path to VisualGenome images directory `allImages/images` |
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""" |
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self.visual_genome_images_dir = visual_genome_images_dir |
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def _get_unique_ids_from_info(self, info: dict[str, MetashiftData]): |
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"""Get unique ids from info struct.""" |
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unique_ids = set() |
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for data in info.values(): |
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for ids in data.data_splits.train.values(): |
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unique_ids.update(ids) |
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for ids in data.data_splits.test.values(): |
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unique_ids.update(ids) |
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return unique_ids |
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def save_all(self): |
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"""Save all datasets to the given directory.""" |
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info: dict[str, MetashiftData] = dict() |
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out_path = Path(".") |
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data_path = out_path / "data" |
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data_path.mkdir(parents=True, exist_ok=True) |
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scenarios_path = out_path / "scenarios" |
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for scenario_path in scenarios_path.glob("**/*.json"): |
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dataset = str(Path(*scenario_path.parts[1:]).with_suffix("")) |
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with open(scenario_path, "r") as f: |
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info[dataset] = MetashiftData.model_validate_json(f.read()) |
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unique_image_paths = self._get_unique_ids_from_info(info) |
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with tarfile.open(data_path / "images.tar.gz", "w:gz") as tar: |
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for unique_image_path in unique_image_paths: |
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_id = Path(unique_image_path).stem |
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tar.add( |
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Path(self.visual_genome_images_dir) / f"{_id}.jpg", |
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) |
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def main(): |
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parser = setup_parser() |
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args = parser.parse_args() |
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metashift_factory = MetashiftFactory( |
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visual_genome_images_dir=args.visual_genome_images_dir, |
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) |
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metashift_factory.save_all() |
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if __name__ == "__main__": |
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main() |
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