Creates StereoBM object

bm = cv.StereoBM()
bm = cv.StereoBM('OptionName', optionValue, ...)

Options

• NumDisparities the disparity search range. For each pixel algorithm will find the best disparity from 0 (default minimum disparity) to NumDisparities. The search range can then be shifted by changing the minimum disparity. default 0 (which uses 64 by default).
• BlockSize the linear size of the blocks compared by the algorithm. The size should be odd (as the block is centered at the current pixel). Larger block size implies smoother, though less accurate disparity map. Smaller block size gives more detailed disparity map, but there is is higher chance for algorithm to find a wrong correspondence. default 21.

The function creates cv.StereoBM object. You can then call cv.StereoBM.compute to compute disparity for a specific stereo pair.