| import requests, io, os |
| H = "https://huggingface.co" |
| from PIL import Image |
| from huggingface_hub import HfApi |
| tok = os.environ["HF_TOKEN"] |
| api = HfApi(token=tok, endpoint=H) |
|
|
| def raster(pgn): |
| key = "page_%04d.jpg" % pgn |
| r = requests.get(H + f"/datasets/bep40/grob-products-updated/resolve/main/catpages/imudex-2026/{key}", timeout=120) |
| return Image.open(io.BytesIO(r.content)) |
|
|
| pgw, pgh = 1133.86, 793.70 |
| img = raster(80) |
| sx = img.size[0]/pgw; sy = img.size[1]/pgh |
|
|
| regions = { |
| "topleft_pantry": (57,73,228,235), |
| "topright_drain": (622,79,809,203), |
| "midleft_pullup": (57,302,228,440), |
| "bottomleft_plastic": (57,532,244,645), |
| } |
| for name, box in regions.items(): |
| px=(int(box[0]*sx), int(box[1]*sy), int(box[2]*sx), int(box[3]*sy)) |
| cr = img.crop(px); cr.thumbnail((300,300), Image.LANCZOS) |
| buf = io.BytesIO(); cr.convert("RGB").save(buf, "JPEG", quality=85) |
| api.upload_file(path_or_fileobj=buf.getvalue(), path_in_repo=f"debug_regions/{name}.jpg", |
| repo_id="bep40/grob-products-updated", repo_type="dataset", |
| commit_message=f"region {name} page81") |
| print("uploaded", name, px, cr.size) |
| print("DONE") |
|
|
