CODEWITHSUNDEEP
pythonopencvvideoedge-detection
Ayse N.
Ayse N.

Reputation: 23

OpenCV ret=False, is it reading the video, or not?

I want to detect edges of a video file (640x640 9sn.) and save the result. I followed OpenCV documents and some other examples. Most of the examples that I found was reading from camera.

Here is my code. I checked cap.isOpened(), it returns True but ret does False and frame is NoneType object. What is confusing is that I'm having the gray array which depends the condition if ret == True. How can I get gray matrix if ret = False?

(I installed ffmpeg pip install ffmpeg-python)

(andy.avi was saved in folder but it's broke, empty)

import cv2
import numpy as np


cap = cv2.VideoCapture("...\\video.mp4")

while(cap.isOpened()):
    ret, frame = cap.read()
    
    frame_width = int(cap.get(3)) 
    frame_height = int(cap.get(4)) 
   
    size = (frame_width, frame_height) 
    
    result = cv2.VideoWriter('andy.avi',  
                         cv2.VideoWriter_fourcc(*'DIVX'), 
                         30, size) 
    
    if ret == True:
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        edges = cv2.Canny(gray, 45, 90)
        result.write(edges)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    else:
       break
                    
cap.release()
result.release()
cv2.destroyAllWindows()

Upvotes: 2

Views: 3778

Answers (2)

eladruby
eladruby

Reputation: 1

I had same issue when trying to connect my webcam, I solved this by running the code on the main python kernal and not in an env

Upvotes: 0

user14554230
user14554230

Reputation:

your code should be changed like this

# importing the module 
import cv2 
import numpy as np
  
# reading the vedio 
source = cv2.VideoCapture("...\\video.mp4") 

# We need to set resolutions. 
# so, convert them from float to integer. 
frame_width = int(source.get(3)) 
frame_height = int(source.get(4)) 
   
size = (frame_width, frame_height) 

result = cv2.VideoWriter('andy.avi',  
            cv2.VideoWriter_fourcc(*'DIVX'), 
            30, size, 0) 
  
# running the loop 
while True: 
  
    # extracting the frames 
    ret, img = source.read() 
      
    # converting to gray-scale 
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 
    edges = cv2.Canny(gray, 45, 90)

    # write to gray-scale 
    result.write(edges)

    # displaying the video 
    cv2.imshow("Live", gray) 
  
    # exiting the loop 
    key = cv2.waitKey(1) 
    if key == ord("q"): 
        break
      
# closing the window 
result.release()
source.release()
cv2.destroyAllWindows()

If helpful this for you give 👍

Upvotes: 2

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