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@yberreby
Created November 12, 2025 19:00
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# /// script
# requires-python = ">=3.11"
# dependencies = [
# "torchvision==0.24.0",
# ]
# ///
"""
Tiny script to export the ordered list of ImageNet-1K classes to a JSON file in the same directory as itself.
Thanks to the dependency specification above, you can run it with:
uv run --script export_in1k_classes.py
"""
import json
from pathlib import Path
out_dir = Path(__file__).parent
out_file = out_dir / "in1k_classes.json"
if __name__ == "__main__":
# Scoped this import on purpose. We only use this to get the categories.
from torchvision.models import ResNet50_Weights
categories = list(ResNet50_Weights.IMAGENET1K_V2.meta["categories"])
print(f"Found {len(categories)} categories")
print("First few: ", categories[:5])
print("Last few: ", categories[-5:])
print("Exporting to:", out_file)
with open(out_file, "w") as f:
json.dump(categories, f)
how_to_load = f"""
with open("{out_file}", "r") as f:
categories = json.load(f)
print(categories[:5])
"""
print("Load it by running:")
print()
print(how_to_load)
print()
print("Let's try it out with this exact code!")
print("Output:")
exec(how_to_load)
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