import cv2
import numpy as np
cap = cv2.VideoCapture('traffic.avi')
retval, frame = cap.read()
print retval
================ RESTART: J:\Python For DIP\traffic_video.py ================
False
>>>
The Value of retval is always False, which means the video is not read by the command. It must be True to read frames. I don't know what to do. However when I use my default webcam it turns to be True. I tried many videos and the same problem appears. Note: I have installed the ffmpeg correctly.
Note: This is not the full code, in this step I am only validating cap.read() either True or False
This method is guaranteed 100%
first of all check your version of OpenCV, say for instance 2.4.11. you can check it by typing the following commands in your Python Shell:
>>> from cv2 import __version__
>>> __version__
'2.4.11'
>>>
Then go to C:\opencv\build\x86\vc12\bin
and copy opencv_ffmpeg2411.dll
.
Finally go to root directory of Python ex: C:\Python27
and paste opencv_ffmpeg2411.dll
in it
check the name of the file opencv_ffmpeg2411.dll, whether the version
of opencv is written or not, if not do the following
opencv_ffmpeg(version of your opencv without dots).dll
After that create a new Python file and copy this code and paste it loading your own video
import numpy as np
import cv2
# Capture video from file
cap = cv2.VideoCapture('your video')
while True:
ret, frame = cap.read()
if ret == True:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow('frame',gray)
if cv2.waitKey(30) & 0xFF == ord('q'):
break
else:
break
cap.release()
cv2.destroyAllWindows()
you will have an output video for example like this:
Result
Finding the root directory of Python can be a little tricky. I am using an Enthought distribution and, at first, pasted the opencv_ffmpeg
file into the wrong Python directory.
WRONG:
C:\Users\USERNAME\AppData\Local\Programs\Python\Python35-32
RIGHT:
C:\Users\USERNAME\AppData\Local\Enthought\Canopy\User
Long story short, make sure you find the right Python directory.