I have looked at OpenCV's Python example on how to use VideoCapture
and VideoWriter
to capture and write out a video file. But I keep getting:
OpenCV Error: Assertion failed (dst.data == dst0.data) in cvCvtColor, file
/tmp/opencv-n8PM/opencv-2.4.7.1/modules/imgproc/src/color.cpp, line 4422
Traceback (most recent call last):
File "examples/observer/observer.py", line 17, in <module>
video_writer.write(frame)
cv2.error: /tmp/opencv-n8PM/opencv-2.4.7.1/modules/imgproc/src/color.cpp:4422: error:
(-215) dst.data == dst0.data in function cvCvtColor
Cleaned up camera.
Here is the code:
#!/usr/bin/env python import cv2
if __name__ == "__main__":
# find the webcam
capture = cv2.VideoCapture(0)
# video recorder
fourcc = cv2.cv.CV_FOURCC(*'XVID') # cv2.VideoWriter_fourcc() does not exist
video_writer = cv2.VideoWriter("output.avi", fourcc, 20, (680, 480))
# record video
while (capture.isOpened()):
ret, frame = capture.read()
if ret:
video_writer.write(frame)
cv2.imshow('Video Stream', frame)
else:
break
capture.release()
video_writer.release()
cv2.destroyAllWindows()
The size of the frames is probably incorrect:
w=int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH ))
h=int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT ))
# video recorder
fourcc = cv2.cv.CV_FOURCC(*'XVID') # cv2.VideoWriter_fourcc() does not exist
video_writer = cv2.VideoWriter("output.avi", fourcc, 25, (w, h))
worked for me
In C++ if you can pass -1 for the codec. Then you can choose the codec by hand from all codecs on your machine. Might be the same in python, i can't find it in the documentation though.
video_writer = cv2.VideoWriter("output.avi", -1, 20, (680, 480))
Try it to make sure that opencv can find XVID on your machine.
I faced similar problem. You should debug if the problem is in frame sizes and colors' depth or in you codec. Try writing empty array into the file:
capSize = (100, 100) # this is the size of my source video
fourcc = cv2.cv.CV_FOURCC('m', 'p', '4', 'v')
out = cv2.VideoWriter('output.mov',fourcc, 1, capSize)
...
out.write(125 * np.ones((100,100,3), np.uint8))
...
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