The full form of OpenCv is Open Source Computer Vision, using this library we can perform different operations on images, videos.
Application areas of OpenCV
- Facial recognition system
- Motion tracking
- Artificial neural network
- Deep neural network
- Video streaming etc.
For installing on Windows we can use this command line
pip install opencv-python
For Linux −
sudo apt-get install python-opencv
To complete our task we have to follow some steps −
Step 1: We import OpenCv library named cv2. Step 2: Take a video as input data. Step 3: First we break the video into a number of frames and store all these frames in a list. Step 4: When we are getting all the frames then we shall apply iteration method. Step 5: Here we apply iteration for reversing the list. Step 6: Use the reverse() method for reversing the order of the frames in the list.
Example code
import cv2
# Grab the current frame.
my_check , vid = cap.read()
# use counter variable for
# Counting frames
counter = 0
check = True
frame_list = []
while(check == True):
cv2.imwrite("frame%d.jpg" %counter , vid)
check , vid = cap.read()
frame_list.append(vid)
# increment the counter by 1
counter += 1
frame_list.pop()
# looping in the List of frames.
for frame in frame_list:
# show the frame.
cv2.imshow("Frame" , frame)
if cv2.waitKey(25) and 0xFF == ord("q"):
break
cap.release()
# close any open windows
cv2.destroyAllWindows()
frame_list.reverse()
for frame in frame_list:
cv2.imshow("Frame" , frame)
if cv2.waitKey(25) and 0xFF == ord("q"):
break
cap.release()
cv2.destroyAllWindows()Output
