Comments (3)
may be this error you are getting because of incorrect use of arguments in the cv2.findEssentialMat() function
try this :
e, mask = cv2.findEssentialMat(pts1, pts2, k1, method=cv2.RANSAC, prob=0.999, threshold=1.0)
else : refer this https://stackoverflow.com/questions/54734538/opencv-assertion-failed-215assertion-failed-npoints-0-depth-cv-32
from opencv-python.
Thank you for your reply. I checked the documentation about this function and the two Points passed in need to be first normalized according to the CameraMatrix in order to use this function.
OpenCV: Camera Calibration and 3D Reconstruction
But what still puzzles me is that if this is the case, why provide the usage of including two CameraMatrix, which I misinterpreted to mean that it is possible to pass in two different CameraMatrix.
may be this error you are getting because of incorrect use of arguments in the cv2.findEssentialMat() function
try this :
e, mask = cv2.findEssentialMat(pts1, pts2, k1, method=cv2.RANSAC, prob=0.999, threshold=1.0)
else : refer this https://stackoverflow.com/questions/54734538/opencv-assertion-failed-215assertion-failed-npoints-0-depth-cv-32
from opencv-python.
points1 and points2 should be not empty with type CV_32F (float) or CV_64F (double).
from opencv-python.
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from opencv-python.