I am trying to use cv2.projectPoints() but I am getting an error
Question:
This is the error:
imgpts, jac = cv2.projectPoints(axis, rvecs, tvecs, mtx, dist)
cv2.error: OpenCV(4.2.0) C:projectsopencv-pythonopencvmodulescalib3dsrccalibration.cpp:603:
error: (-5:Bad argument) Rotation must be represented by 1x3 or 3x1 floating-point rotation vector, or
3x3 rotation matrix in function 'cvProjectPoints2Internal'
This is my code:
axis = np.float32([[3, 0, 0], [0, 10, 0], [0, 0, -50]]).reshape(-1, 3)#axis of coordinates
# PnP calculates the rotation vector and translation vector
rvecs, tvecs, inliers = cv2.solvePnP(obj_points, image_points, mtx, dist)
print(f"mtx shape: {mtx.shape}, tvecs shape: {tvecs.shape}")
print(f"mtx:n {mtx}")
print(f"tvecs:n {tvecs}")
# Calculate the coordinates of 3D points projected on 2D image plane
imgpts, jac = cv2.projectPoints(axis, rvecs, tvecs, mtx, dist)
And this is the outpot:
mtx shape: (3, 3), tvecs shape: (3, 1)
mtx:
[[1.71223579e+03 0.00000000e+00 1.02990683e+03]
[ 0.00000000e+00 1.70818827e+03 7.83446773e+02]
[ 0.00000000e+00 0.00000000e+00 1.00000000e+00]]
tvecs:
[[-0.09038089]
[ -0.05386737]
[ -0.01652085]]
I dont have any idea about how to solve it. It seem like the problem is in the shape of the arguments. But when i checked they seem in the right shape. so I dont know what is the problem, but if you do it be very helpful.
Answers:
Maybe you are trying to get some code working from an old tutorial, or you misread function documentation about return values. Try assigning returning values from solvePnP like this:
result, rvecs, tvecs = cv2.solvePnP(obj_points, image_points, mtx, dist)
There should be no "inliers" in solvePnP function (at least as of opencv4).
Try this:
imagePoints, jacobian = cv.projectPoints(np.array(obj_points),
np.float32(rvec), np.float32(tvec),camera_matrix1, None)
The shape of components really matters, it works for me.
This is the error:
imgpts, jac = cv2.projectPoints(axis, rvecs, tvecs, mtx, dist)
cv2.error: OpenCV(4.2.0) C:projectsopencv-pythonopencvmodulescalib3dsrccalibration.cpp:603:
error: (-5:Bad argument) Rotation must be represented by 1x3 or 3x1 floating-point rotation vector, or
3x3 rotation matrix in function 'cvProjectPoints2Internal'
This is my code:
axis = np.float32([[3, 0, 0], [0, 10, 0], [0, 0, -50]]).reshape(-1, 3)#axis of coordinates
# PnP calculates the rotation vector and translation vector
rvecs, tvecs, inliers = cv2.solvePnP(obj_points, image_points, mtx, dist)
print(f"mtx shape: {mtx.shape}, tvecs shape: {tvecs.shape}")
print(f"mtx:n {mtx}")
print(f"tvecs:n {tvecs}")
# Calculate the coordinates of 3D points projected on 2D image plane
imgpts, jac = cv2.projectPoints(axis, rvecs, tvecs, mtx, dist)
And this is the outpot:
mtx shape: (3, 3), tvecs shape: (3, 1)
mtx:
[[1.71223579e+03 0.00000000e+00 1.02990683e+03]
[ 0.00000000e+00 1.70818827e+03 7.83446773e+02]
[ 0.00000000e+00 0.00000000e+00 1.00000000e+00]]
tvecs:
[[-0.09038089]
[ -0.05386737]
[ -0.01652085]]
I dont have any idea about how to solve it. It seem like the problem is in the shape of the arguments. But when i checked they seem in the right shape. so I dont know what is the problem, but if you do it be very helpful.
Maybe you are trying to get some code working from an old tutorial, or you misread function documentation about return values. Try assigning returning values from solvePnP like this:
result, rvecs, tvecs = cv2.solvePnP(obj_points, image_points, mtx, dist)
There should be no "inliers" in solvePnP function (at least as of opencv4).
Try this:
imagePoints, jacobian = cv.projectPoints(np.array(obj_points),
np.float32(rvec), np.float32(tvec),camera_matrix1, None)
The shape of components really matters, it works for me.