deepin-ocr/3rdparty/opencv-4.5.4/samples/python/mser.py
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

57 lines
945 B
Python
Executable File

#!/usr/bin/env python
'''
MSER detector demo
==================
Usage:
------
mser.py [<video source>]
Keys:
-----
ESC - exit
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
import video
import sys
def main():
try:
video_src = sys.argv[1]
except:
video_src = 0
cam = video.create_capture(video_src)
mser = cv.MSER_create()
while True:
ret, img = cam.read()
if ret == 0:
break
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
vis = img.copy()
regions, _ = mser.detectRegions(gray)
hulls = [cv.convexHull(p.reshape(-1, 1, 2)) for p in regions]
cv.polylines(vis, hulls, 1, (0, 255, 0))
cv.imshow('img', vis)
if cv.waitKey(5) == 27:
break
print('Done')
if __name__ == '__main__':
print(__doc__)
main()
cv.destroyAllWindows()