openalea.phenomenal.calibration.chessboard.detect_checkerboards#

openalea.phenomenal.calibration.chessboard.detect_checkerboards(image, corners_w, corners_h, recursive=False, max_items=2)[source]#

Find chessboard corners , with recursive search for multiple chessboard on a single image

Parameters:

image – numpy array of pixel intensities (rgb_color or grayscale)
corners_w – the number of corners (intersections of cheesboard squares) along chessboard width
corners_h – the number of corners (intersections of cheesboard squares) along chessboard height
recursive – should we recursively apply the search ?

Returns:

a list of pixel coordinates of corners for each chessboard found