Comments (2)
你好,过奖了。
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我的代码中opencv版本是3.4,而你用的opencv应该是4.x以上的,cv2.findContours()在4.x后将返回值改为了2个,删掉第一个返回值是正确的。
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对于correction.py的137行中的问题,centroids中正常情况下应该是网格的100个交点(10*10)的 (x,y) 坐标,因此一共200个值,而你的报错是:Cannot reshape array of size 206 into shape (100,2)。有206个值,这说明找到的点的数量多了,有103个点。
你可以在上一步的结果图像 dots 中,查看是否有多余的点。这一步将找到的质心都在img_dots中通过绿点标出来了。我忘了显示这个图,之后我会commit一次加上这句话。
另外 if cv2.contourArea(cnt) > 20:
这一句通过统计像素数排除了过小的轮廓,如果你观察到上一步有过小的点没有被排除,可以适当调整20这个值。
from sudoku_opencv_py.
好的,谢谢,方便加个微信吗?八六99O9五四1
from sudoku_opencv_py.
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from sudoku_opencv_py.