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
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60
3rdparty/opencv-4.5.4/samples/python/edge.py
vendored
Executable file
60
3rdparty/opencv-4.5.4/samples/python/edge.py
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Executable file
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#!/usr/bin/env python
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'''
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This sample demonstrates Canny edge detection.
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Usage:
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edge.py [<video source>]
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Trackbars control edge thresholds.
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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 cv2 as cv
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import numpy as np
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# relative module
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import video
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# built-in module
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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:
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fn = 0
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def nothing(*arg):
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pass
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cv.namedWindow('edge')
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cv.createTrackbar('thrs1', 'edge', 2000, 5000, nothing)
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cv.createTrackbar('thrs2', 'edge', 4000, 5000, nothing)
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cap = video.create_capture(fn)
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while True:
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_flag, img = cap.read()
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gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
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thrs1 = cv.getTrackbarPos('thrs1', 'edge')
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thrs2 = cv.getTrackbarPos('thrs2', 'edge')
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edge = cv.Canny(gray, thrs1, thrs2, apertureSize=5)
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vis = img.copy()
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vis = np.uint8(vis/2.)
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vis[edge != 0] = (0, 255, 0)
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cv.imshow('edge', vis)
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ch = cv.waitKey(5)
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if ch == 27:
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break
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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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