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- # -*- coding: utf-8 -*-
- """定标授权书扫描件：找纸张／版心边界，反推公章、印鉴、签名的真实毫米数。"""
- import io
- import os
- import sys
- import numpy as np
- from PIL import Image
- sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8")
- HERE = os.path.dirname(os.path.abspath(__file__))
- SRC = os.path.join(HERE, "_bid_assets", "seal_src", "p1_img1.png")
- SEAL = os.path.join(HERE, "_bid_assets", "seal")
- OUT = os.path.join(HERE, "_tmp_inspect")
- os.makedirs(OUT, exist_ok=True)
- im = Image.open(SRC).convert("RGB")
- a = np.asarray(im.convert("L"))
- h, w = a.shape
- print(f"扫描件 {w}×{h} px，宽高比 {w / h:.4f}"
- f"（A4 竖版应为 {210 / 297:.4f}）")
- # 纸张边界：扫描仪底色通常明显暗于纸面
- row_med = np.median(a, axis=1)
- col_med = np.median(a, axis=0)
- print(f"行中位亮度：首 {row_med[:8].astype(int)} … 末 {row_med[-8:].astype(int)}")
- print(f"列中位亮度：首 {col_med[:8].astype(int)} … 末 {col_med[-8:].astype(int)}")
- # 版心（印刷内容）边界：按暗像素投影
- dark = a < 170
- cols = dark.sum(axis=0)
- rows = dark.sum(axis=1)
- thr_c, thr_r = max(6, h // 400), max(6, w // 400)
- xs = np.nonzero(cols > thr_c)[0]
- ys = np.nonzero(rows > thr_r)[0]
- print(f"\n内容范围 x[{xs.min()}, {xs.max()}] y[{ys.min()}, {ys.max()}]"
- f" 即 {xs.max() - xs.min() + 1}×{ys.max() - ys.min() + 1} px")
- # 假定纸张为 A4 且扫描件已裁到纸张边缘
- for label, paper_w in (("按整幅=A4宽210mm", 210.0),
- ("按整幅=A4高297mm定标", 297.0 * w / h)):
- mm_px = paper_w / w
- print(f"\n【{label}】1 px = {mm_px:.4f} mm → 整幅 "
- f"{w * mm_px:.0f}×{h * mm_px:.0f} mm")
- for name in ("gongzhang", "yinjian", "signature"):
- p = os.path.join(SEAL, f"{name}.png")
- if not os.path.exists(p):
- continue
- al = np.asarray(Image.open(p))[..., 3]
- ys2, xs2 = np.nonzero(al > 8)
- bw, bh = xs2.max() - xs2.min() + 1, ys2.max() - ys2.min() + 1
- print(f" {name:10s} {bw:4d}×{bh:4d} px = "
- f"{bw * mm_px:5.1f}×{bh * mm_px:5.1f} mm")
- im.resize((w // 3, h // 3), Image.LANCZOS).save(
- os.path.join(OUT, "seal_src_thumb.jpg"), quality=80)
- print(f"\n缩略图 → {os.path.join(OUT, 'seal_src_thumb.jpg')}")
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