| import requests, io, os |
| from PIL import Image |
| from huggingface_hub import HfApi |
| H = "https://huggingface.co" |
| api = HfApi(token=os.environ["HF_TOKEN"], endpoint=H) |
|
|
| pdf_r = requests.get(H + "/datasets/bep40/grob-products-updated/resolve/main/catpages/imudex-2026/page_0080.jpg", timeout=120) |
| img = Image.open(io.BytesIO(pdf_r.content)) |
| iw, ih = img.size |
| sx = iw / 1133.86; sy = ih / 793.70 |
| boxes = { |
| "A_topleft_7801700": (57, 73, 228, 235), |
| "B_midleft_7801100": (57, 302, 228, 440), |
| "C_botleft_7804100": (57, 532, 244, 645), |
| "D_topright_7804104": (622, 79, 809, 203), |
| } |
| for label, (x0, y0, x1, y1) in boxes.items(): |
| box = (int(x0*sx), int(y0*sy), int(x1*sx), int(y1*sy)) |
| cr = img.crop(box).copy() |
| buf = io.BytesIO() |
| cr.convert("RGB").save(buf, "JPEG", quality=92) |
| info = api.upload_file(path_or_fileobj=buf.getvalue(), path_in_repo=f"debug_crops/p81_{label}.jpg", |
| repo_id="bep40/grob-products-updated", repo_type="dataset", |
| commit_message=f"debug crop {label}") |
| print("uploaded", label, info.commit_url) |
| print("DONE") |
