yangxiangyuan
a3e8911deb
- 新增作息报时器独立模块，包含完整的日程管理、语音播报和待机功能 - 短链接正式前缀由/l/改为/to/，解决手机小屏下与I、i、1字形混淆问题 - 保留旧前缀/l/、/L/、/I/、/i/兼容已分发的旧短链 - 新增短码大小写兜底匹配，仅唯一匹配时生效避免歧义 - 新增防爆紧急替换功能，可轮换首页鉴权并替换短链接 - 新增多个调试和集成测试脚本，保障数据安全和功能回归
105 lines
3.6 KiB
Python
105 lines
3.6 KiB
Python
# -*- coding: utf-8 -*-
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# 调试：宝龙导视牌 logo 裁切 · 掩膜参数迭代
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# 目标：7 行连通域计数 = [11,11,10,11,11,11,11]（r2 行牌子上只有 10 格）
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# 用法：python dev_test_scripts\debug\debug_mall_crop_mask.py
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import os
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import sys
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import cv2
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import numpy as np
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'tools'))
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from tool_crop_mall_logos import imread_u, imwrite_u, detect_board_quad, warp_board # noqa: E402
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SRC = r'D:\Temp文件\baolong-mall\照片.jpg'
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HERE = os.path.dirname(os.path.abspath(__file__))
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img = imread_u(SRC)
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quad = detect_board_quad(img)
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warped = warp_board(img, quad)
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wh, ww = warped.shape[:2]
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gray = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY)
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hsv = cv2.cvtColor(warped, cv2.COLOR_BGR2HSV)
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S = hsv[:, :, 1].astype(np.float32)
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V = hsv[:, :, 2].astype(np.float32)
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# 局部纹理（box filter 标准差）：过曝区颜色失效时靠纹理兜底
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gf = gray.astype(np.float32)
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m1 = cv2.boxFilter(gf, -1, (9, 9))
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m2 = cv2.boxFilter(gf * gf, -1, (9, 9))
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STD = np.sqrt(np.maximum(m2 - m1 * m1, 0))
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def build_mask(s_th, v_th, t_th, close_k, open_k):
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mask = (((S > s_th) | (V < v_th) | (STD > t_th)).astype(np.uint8)) * 255
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mask[:60, :] = 0
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mask[-60:, :] = 0
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mask[:, :60] = 0
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mask[:, -60:] = 0
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mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, np.ones((close_k, close_k), np.uint8))
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mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, np.ones((open_k, open_k), np.uint8))
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return mask
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def row_counts(mask):
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n, labels, stats, cents = cv2.connectedComponentsWithStats(mask, 8)
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blocks = []
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for i in range(1, n):
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x, y, bw, bh, area = stats[i]
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cx, cy = cents[i]
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if area < 8000 or bw < 100 or bh < 80 or bw > 0.35 * ww or bh > 0.25 * wh:
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continue
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if cy < 0.17 * wh or cx < 0.06 * ww:
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continue
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blocks.append((cy, cx, x, y, bw, bh, area))
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blocks.sort()
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rows = []
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for b in blocks:
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if rows and abs(b[0] - rows[-1][-1][0]) < 60:
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rows[-1].append(b)
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else:
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rows.append([b])
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return [len(r) for r in rows], blocks, rows
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combos = [
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(45, 140, 999, 9, 7), # 旧参数（仅颜色）
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(30, 170, 12, 21, 9),
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(25, 180, 10, 25, 11),
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(25, 180, 14, 25, 13),
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(20, 190, 12, 29, 13),
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(30, 170, 16, 21, 11),
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]
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best = None
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for c in combos:
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mask = build_mask(*c)
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counts, blocks, rows = row_counts(mask)
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print(c, '->', counts)
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if counts == [11, 11, 10, 11, 11, 11, 11]:
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best = (c, mask, rows)
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break
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if best:
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c, mask, rows = best
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scale = 1600.0 / ww
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vis = cv2.resize(warped, (1600, int(wh * scale))).copy()
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for r in rows:
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for (cy, cx, x, y, bw, bh, area) in r:
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cv2.rectangle(vis, (int(x * scale), int(y * scale)),
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(int((x + bw) * scale), int((y + bh) * scale)), (0, 255, 0), 2)
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imwrite_u(os.path.join(HERE, 'blocks_preview.jpg'), vis)
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imwrite_u(os.path.join(HERE, 'mask_preview.jpg'), cv2.resize(mask, (1600, int(wh * scale))))
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print('BEST', c)
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else:
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print('无完美组合，取最后一组出预览')
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mask = build_mask(*combos[-1])
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counts, blocks, rows = row_counts(mask)
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scale = 1600.0 / ww
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vis = cv2.resize(warped, (1600, int(wh * scale))).copy()
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for r in rows:
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for (cy, cx, x, y, bw, bh, area) in r:
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cv2.rectangle(vis, (int(x * scale), int(y * scale)),
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(int((x + bw) * scale), int((y + bh) * scale)), (0, 255, 0), 2)
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imwrite_u(os.path.join(HERE, 'blocks_preview.jpg'), vis)
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imwrite_u(os.path.join(HERE, 'mask_preview.jpg'), cv2.resize(mask, (1600, int(wh * scale))))
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