Datasets:
Download scripts/pixel_compare.py from bep40/grob-products-updated: direct link, hf CLI and curl.
- Browser
- Download file 2.34 kB
-
https://huggingface.co/datasets/bep40/grob-products-updated/resolve/main/scripts/pixel_compare.py
- Command line
-
hf download hf://datasets/bep40/grob-products-updated/scripts/pixel_compare.py
-
curl -L -o pixel_compare.py https://huggingface.co/datasets/bep40/grob-products-updated/resolve/main/scripts/pixel_compare.py
2.34 kB
| import requests, io, os, json, base64, hashlib | |
| H = "https://huggingface.co" | |
| from PIL import Image | |
| from huggingface_hub import HfApi | |
| api = HfApi(token=os.environ["HF_TOKEN"], endpoint=H) | |
| def norm(s): return "".join(ch for ch in str(s) if ch.isdigit()) | |
| # 1) current card image from live index for 7801100 | |
| idx = requests.get(H+"/datasets/bep40/grob-products-updated/resolve/main/catalogue_ai_index.json", params={"t":"px1"}, timeout=300).json() | |
| card_uri = None | |
| for p in idx["products"]: | |
| if isinstance(p, dict) and norm(p.get("sku",""))=="7801100": | |
| card_uri = p.get("image") or "" | |
| break | |
| print("card 7801100 uri len:", len(card_uri)) | |
| if card_uri and card_uri.startswith("data:"): | |
| b = base64.b64decode(card_uri.split(",",1)[1]) | |
| card_img = Image.open(io.BytesIO(b)).convert("RGB") | |
| print("card img size:", card_img.size) | |
| api.upload_file(path_or_fileobj=b, path_in_repo="debug_crops/live_card_7801100.jpg", repo_id="bep40/grob-products-updated", repo_type="dataset", commit_message="live card 7801100 export") | |
| else: | |
| print("card img is URL not data:") | |
| # 2) crop the 4 regions from page 81 at small size, compare pixels quickly | |
| rx = requests.get(H+"/datasets/bep40/grob-products-updated/resolve/main/catpages/imudex-2026/page_0080.jpg", timeout=120) | |
| img81 = Image.open(io.BytesIO(rx.content)).convert("RGB") | |
| iw, ih = img81.size | |
| sx, sy = iw/1133.86, ih/793.70 | |
| regions = { | |
| "A": (57,73,228,235), "B": (57,302,228,440), "C": (57,532,244,645), "D": (622,79,809,203) | |
| } | |
| def avg_hash(im, size=16): | |
| im = im.convert("L").resize((size,size), Image.LANCZOS) | |
| px = list(im.getdata()); avg = sum(px)/len(px) | |
| return "".join("1" if v>avg else "0" for v in px) | |
| def ham(a,b): return sum(1 for x,y in zip(a,b) if x!=y) | |
| card_ah = avg_hash(card_img) if card_uri else None | |
| for name, box in regions.items(): | |
| b2 = (int(box[0]*sx), int(box[1]*sy), int(box[2]*sx), int(box[3]*sy)) | |
| cr = img81.crop(b2).copy() | |
| # save crop | |
| buf = io.BytesIO(); cr.save(buf, "JPEG", quality=90) | |
| api.upload_file(path_or_fileobj=buf.getvalue(), path_in_repo=f"debug_crops/px_{name}.jpg", repo_id="bep40/grob-products-updated", repo_type="dataset", commit_message="px region "+name) | |
| if card_ah: | |
| cr_ah = avg_hash(cr) | |
| print(f"{name}: hash-dist(box vs card) = {ham(card_ah, cr_ah)} / 256") | |
| print("DONE") |