718c41634f
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
50 lines
1.3 KiB
Python
Executable File
50 lines
1.3 KiB
Python
Executable File
#!/usr/bin/python
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'''
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This example illustrates how to use cv.HoughCircles() function.
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Usage:
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houghcircles.py [<image_name>]
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image argument defaults to board.jpg
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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import sys
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def main():
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try:
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fn = sys.argv[1]
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except IndexError:
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fn = 'board.jpg'
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src = cv.imread(cv.samples.findFile(fn))
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img = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
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img = cv.medianBlur(img, 5)
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cimg = src.copy() # numpy function
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circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1, 10, np.array([]), 100, 30, 1, 30)
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if circles is not None: # Check if circles have been found and only then iterate over these and add them to the image
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circles = np.uint16(np.around(circles))
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_a, b, _c = circles.shape
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for i in range(b):
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cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv.LINE_AA)
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cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv.LINE_AA) # draw center of circle
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cv.imshow("detected circles", cimg)
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cv.imshow("source", src)
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cv.waitKey(0)
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print('Done')
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if __name__ == '__main__':
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print(__doc__)
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main()
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cv.destroyAllWindows()
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