Obviously this line is wrong.
matOut = cv2::Mat::Mat(height, width, cv2.CV_8UC4)
this one too.
Mat matOut(height, width, cv2.CV_8UC4)
How do I create an modern openCV empty matrix with a given size, shape, format? The latest openCV docs on topic don't seem to be helping... I gleaned the formats used above directly from that document. Note: I'm assuming OpenCV ( import cv2
) Python3, import numpy
, etc...
I was looking to create an empty matrix with the intent of copying content from a different buffer into it...
edit, more failed attempts...
matOut = cv2.numpy.Mat(height, width, cv2.CV_8UC4)
matOut = numpy.array(height, width, cv2.CV_8UC4)
So user696969 called out a largely successful solution to the question asked. You create a new shaped area via:
matOut = numpy.zeros([height, width, 4], dtype=numpy.uint8)
note I have replaced the desired content, cv2.CV_8UC4 , with its expected response, the number 4 . There are 4 eight bit bytes in a simple RGBA pixel descriptor. I would have preferred if OpenCV tooling had performed that response as a function call, but that didn't seem to work...
I do want to share my use case. I originally was going to create an empty shaped matrix so I could transfer data from a single dimensional array there. As I worked this problem I realized there was a better way. I start the routine where I have received a file containing 8 bit RGBA data without any prefix metadata. Think raw BMP without any header info.
matContent = numpy.frombuffer(fileContent, numpy.uint8)
matContentReshaped = matContent.reshape(height, width, 4)
cv2.imshow("Display Window", matContentReshaped)
k = cv2.waitKey(0)
Thats it. Easy, Peasy.... Thanks to user696969 and eldesgraciado for help here.
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