Datasets:
File size: 1,328 Bytes
292d868 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | """Render a positive example from the native ground truth without modifying data."""
import argparse
import json
from pathlib import Path
from PIL import Image, ImageDraw
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--root", type=Path, default=Path(__file__).resolve().parents[1])
parser.add_argument("--image-id")
parser.add_argument("--output", type=Path, default=Path("/tmp/municipalbench.png"))
args = parser.parse_args()
rows = json.loads((args.root / "annotations/ground_truth.json").read_text())
record = next(r for r in rows if r["image_id"] == args.image_id) if args.image_id else next(
r for r in rows if r["gold"]["violations"])
manifest = {r["image_id"]: r for r in map(json.loads,
(args.root / "release/image_manifest.jsonl").read_text().splitlines())}
image = Image.open(args.root / manifest[record["image_id"]]["file_name"]).convert("RGB")
draw = ImageDraw.Draw(image)
for v in record["gold"]["violations"]:
x, y, w, h = v["bbox"]; iw, ih = image.size
draw.rectangle((x*iw, y*ih, (x+w)*iw, (y+h)*ih), outline="red", width=3)
draw.text((x*iw+3, y*ih+3), v["use_case_id"], fill="red", stroke_width=1, stroke_fill="white")
image.save(args.output)
print(args.output)
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