Datasets:

bep40
/

grob-products-updated

import requests, re, json, base64, io, os
H = "https://huggingface.co"
from pymupdf import Document as MuDoc
from PIL import Image, ImageDraw

def norm(s):
    return "".join(ch for ch in str(s) if ch.isdigit())

# download pdf + rasters for pages 79,81
pdf = requests.get(H + "/datasets/bep40/grob-products-updated/resolve/main/pdfs/imudex_2026.pdf", timeout=600).content
open("/tmp/imudex.pdf", "wb").write(pdf)
doc = MuDoc("/tmp/imudex.pdf")
pgw, pgh = 1133.86, 793.70

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))

# SKU -> (pdf_page_index, row_y) use the code rows found earlier
# page 81 (index 80): 7 801 700 y=214.8, 7 804 104 y=197.2, 7 801 100 y=446
# page 79 (index 78): 7 809 104 y=232.5
targets = {
    "7801700": (80, 214.8),
    "7804104": (80, 197.2),
    "7801100": (80, 446.0),
    "7809104": (78, 232.5),
}

os.makedirs("/out", exist_ok=True)
# full pages (downscaled) for reference
for pgn, label in [(78, "page79"), (80, "page81")]:
    img = raster(pgn)
    img.thumbnail((1100, 1100))
    img.save(f"/out/{label}_full.jpg", "JPEG", quality=80)
    print("saved", label, img.size)

# for each target, crop the actual card image used + mark image bbox on a page crop
for sk, (pgn, rowy) in targets.items():
    pg = doc[pgn]
    # find nearest big image bbox
    best = None; bd = 1e15
    for ip in pg.get_image_info():
        bb = ip["bbox"]; w = ip.get("width") or 0; h = ip.get("height") or 0
        if w < 160 or h < 110: continue
        icx = (bb[0]+bb[2])/2; icy = (bb[1]+bb[3])/2
        dd = (icx-817)**2 + (icy-rowy)**2
        if dd < bd: bd = dd; best = bb
    img = raster(pgn)
    sx = img.size[0]/pgw; sy = img.size[1]/pgh
    if best:
        box = (int(best[0]*sx), int(best[1]*sy), int(best[2]*sx), int(best[3]*sy))
        cr = img.crop(box); cr.thumbnail((340,340), Image.LANCZOS)
        cr.save(f"/out/{sk}_crop.jpg", "JPEG", quality=85)
        # annotate full page region around the image + code row
        region = img.crop((int(55*sx), int(60*sy), int(1100*sx), int(500*sy)))
        region = region.copy()
        d = ImageDraw.Draw(region)
        # draw image bbox
        ib = (int(best[0]*sx)-int(55*sx), int(best[1]*sy)-int(60*sy), int(best[2]*sx)-int(55*sx), int(best[3]*sy)-int(60*sy))
        d.rectangle(ib, outline="red", width=6)
        # code row line
        cy = int(rowy*sy)-int(60*sy)
        d.line([(0,cy),(region.size[0],cy)], fill="blue", width=4)
        region.save(f"/out/{sk}_page.jpg", "JPEG", quality=80)
        print(f"{sk}: img_bbox={[round(v) for v in best]} crop saved; page region saved")
    else:
        print(f"{sk}: no image found")
print("done /out")

	import requests, re, json, base64, io, os
	H = "https://huggingface.co"
	from pymupdf import Document as MuDoc
	from PIL import Image, ImageDraw

	def norm(s):
	return "".join(ch for ch in str(s) if ch.isdigit())

	# download pdf + rasters for pages 79,81
	pdf = requests.get(H + "/datasets/bep40/grob-products-updated/resolve/main/pdfs/imudex_2026.pdf", timeout=600).content
	open("/tmp/imudex.pdf", "wb").write(pdf)
	doc = MuDoc("/tmp/imudex.pdf")
	pgw, pgh = 1133.86, 793.70

	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))

	# SKU -> (pdf_page_index, row_y) use the code rows found earlier
	# page 81 (index 80): 7 801 700 y=214.8, 7 804 104 y=197.2, 7 801 100 y=446
	# page 79 (index 78): 7 809 104 y=232.5
	targets = {
	"7801700": (80, 214.8),
	"7804104": (80, 197.2),
	"7801100": (80, 446.0),
	"7809104": (78, 232.5),
	}

	os.makedirs("/out", exist_ok=True)
	# full pages (downscaled) for reference
	for pgn, label in [(78, "page79"), (80, "page81")]:
	img = raster(pgn)
	img.thumbnail((1100, 1100))
	img.save(f"/out/{label}_full.jpg", "JPEG", quality=80)
	print("saved", label, img.size)

	# for each target, crop the actual card image used + mark image bbox on a page crop
	for sk, (pgn, rowy) in targets.items():
	pg = doc[pgn]
	# find nearest big image bbox
	best = None; bd = 1e15
	for ip in pg.get_image_info():
	bb = ip["bbox"]; w = ip.get("width") or 0; h = ip.get("height") or 0
	if w < 160 or h < 110: continue
	icx = (bb[0]+bb[2])/2; icy = (bb[1]+bb[3])/2
	dd = (icx-817)2 + (icy-rowy)2
	if dd < bd: bd = dd; best = bb
	img = raster(pgn)
	sx = img.size[0]/pgw; sy = img.size[1]/pgh
	if best:
	box = (int(best[0]sx), int(best[1]sy), int(best[2]sx), int(best[3]sy))
	cr = img.crop(box); cr.thumbnail((340,340), Image.LANCZOS)
	cr.save(f"/out/{sk}_crop.jpg", "JPEG", quality=85)
	# annotate full page region around the image + code row
	region = img.crop((int(55sx), int(60sy), int(1100sx), int(500sy)))
	region = region.copy()
	d = ImageDraw.Draw(region)
	# draw image bbox
	ib = (int(best[0]sx)-int(55sx), int(best[1]sy)-int(60sy), int(best[2]sx)-int(55sx), int(best[3]sy)-int(60sy))
	d.rectangle(ib, outline="red", width=6)
	# code row line
	cy = int(rowysy)-int(60sy)
	d.line([(0,cy),(region.size[0],cy)], fill="blue", width=4)
	region.save(f"/out/{sk}_page.jpg", "JPEG", quality=80)
	print(f"{sk}: img_bbox={[round(v) for v in best]} crop saved; page region saved")
	else:
	print(f"{sk}: no image found")
	print("done /out")