Edit: original title "convert numpy array to cvmat" was a mistake - OpenCV's less than useful error message and my not reading the docs!
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?
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)
.
tl;dr : In original question, first argument of "window name" was missing. "imshow" takes two parameters and only one was supplied.
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
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.array
s wherever a matrix is indicated in the docs.
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.