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问题:
With OpenCV 2, IPython now uses NumPy arrays by default.
cvimage = cv2.imread("image.png") #using OpenCV 2 type(cvimage) Out: numpy.ndarray #dtype is uint8 pltimage = plt.imread("image.png") #using Matplotlib type(pltimage) Out: numpy.ndarray #dtype is float plt.imshow(cvimage) # works great cv2.imshow(cvimage) TypeError: Required argument 'mat' (pos 2) not found
Since cv2 uses NumPy arrays by default, there is no longer any cv::Mat constructor and NumPy has no functions to convert to a cv::Mat array.
Any ideas?
回答1:
The function has the following docstring: imshow(winname, mat) -> None. You can see the doc string by typing cv2.imshow.__doc__ in the interpreter.
Try cv2.imshow('Image', cvimage).
回答2:
The question technically asks how to convert a NumPy Array (analogous to CV2 array) into a Mat object (CV). For anyone who is interested, this can be done by:
mat_array = cv.fromarray(numpy_array)
where mat_array is a Mat object, and numpy_array is a NumPy array or image. I would suggest staying away from older CV structures where possible. Numpy arrays offer much better performance than implemenations in native Python
回答3:
Mat object was needed because C/C++ lacked a standard/native implementation of matrices.
However, numpy's array is a perfect replacement for that functionality. Hence, the cv2 module accepts numpy.arrays wherever a matrix is indicated in the docs.
