Opencv Camera Calibration In Python Without Using Cv2.findchessboardcorners
I am trying to use openCV for camera calibration. I do not have a problem as long as I use the cv2.findChessBoardCorners to find my calibration targets in the image, but if I use m
Solution 1:
I've been having the same issue. I solved it by using a vector of vectors, as documented; for each frame,
imPts = [ [px0, py0, pz0],..., [pxn, pyn, pzn] ]
, and
obPts = [ [qx0, qy0],..., [qxn, qyn] ]
, then do: imPts.astype('float32')
and obPts.astype('float32')
, when using them inside the function. If more than one frame is used, then do that for each frame. That does the trick.
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