Datasets:
Remove script to generate dummy data
Browse files- fix_generated_dummy_data.py +0 -48
- huggingface.jpg +0 -0
fix_generated_dummy_data.py
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import json
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import re
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from pathlib import Path
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from zipfile import ZipFile
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def main():
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dummy_dir = Path(__file__).parent / "dummy"
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config_paths = list(dummy_dir.iterdir())
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for config in config_paths:
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versions = list(config.iterdir())
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assert len(versions) == 1, versions
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version = versions[0]
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zip_filepath = version / "dummy_data.zip"
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# We need to open the zip file
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with ZipFile(zip_filepath, "r") as zip_dir:
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with zip_dir.open("dummy_data/image_data.json.zip/image_data.json", "r") as fi:
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image_metadatas = json.load(fi)
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default_jpg_path = Path(__file__).parent / "huggingface.jpg"
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with ZipFile(zip_filepath, "a") as zip_dir:
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for image_metadata in image_metadatas:
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url = image_metadata["url"]
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matches = re.match(r"https://cs.stanford.edu/people/rak248/VG_100K(?:_(2))?/[0-9]+.jpg", url)
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assert matches is not None
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# Find where locally the images should be
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vg_version = matches.group(1)
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if vg_version is None:
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local_path = re.sub(
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"https://cs.stanford.edu/people/rak248/VG_100K", "dummy_data/images.zip/VG_100K", url
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)
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else:
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local_path = re.sub(
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f"https://cs.stanford.edu/people/rak248/VG_100K_{vg_version}",
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f"dummy_data/images{vg_version}.zip/VG_100K_{vg_version}",
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url,
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)
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# Write those images.
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zip_dir.write(filename=default_jpg_path, arcname=local_path)
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if __name__ == "__main__":
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main()
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huggingface.jpg
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Binary file (656 Bytes)
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