我有以下C++代码:
// Load image from vector
cv::Mat image = imread(filenames[i]);
// option = black
if (arg == "black" | arg == "all")
{
// Extracting colors - BGR (black backround)
// Blue
inRange(image, Scalar(190, 0, 0), Scalar(255, 50, 50), blue);
// Green
inRange(image, Scalar(0, 190, 0), Scalar(50, 255, 50), green);
// Red
inRange(image, Scalar(0, 0, 190), Scalar(50, 50, 255), red);
// White
inRange(image, Scalar(235, 235, 235), Scalar(255, 255, 255), white);
// Silver
inRange(image, Scalar(180, 180, 190), Scalar(200, 200, 220), silver);
// bitwise OR mask
mask = blue|green|red|white|silver;
}
// option = wooden
else
{
// Extracting colors - BGR (wooden backround)
// Blue
inRange(image, Scalar(190, 0, 0), Scalar(255, 50, 50), blue);
// Green
inRange(image, Scalar(0, 190, 0), Scalar(50, 255, 50), green);
// Red
inRange(image, Scalar(0, 0, 190), Scalar(50, 50, 255), red);
// White
inRange(image, Scalar(235, 235, 235), Scalar(255, 255, 255), white);
// Silver
inRange(image, Scalar(190, 190, 200), Scalar(220, 220, 230), silver);
// Black
inRange(image, Scalar(0, 0, 0), Scalar(40, 40, 40), black);
// bitwise OR mask
mask = blue|green|red|white|silver|black;
}
// Store mask points into a vector
vector<Point> pts;
findNonZero(mask, pts);
我想把它翻译成Python。我几乎完成了每个部分,但没有按位或掩码部分。
我尝试了以下方法:
mask = np.logical_or.reduce((mask == blue, mask == green, mask == red, mask == white, mask == silver))
这个操作的Python等价物是什么?
