Python | Play a video using OpenCV

OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on Images or videos. OpenCV library can be used to perform multiple operations on videos. 

Let’s see how to play a video using the OpenCV Python. To capture a video, we need to create a VideoCapture object. VideoCapture have the device index or the name of a video file. Device index is just the number to specify which camera. If we pass 0 then it is for first camera, 1 for second camera so on. We capture the video frame by frame.

Syntax

• cv2.VideoCapture(0): Means first camera or webcam.
• cv2.VideoCapture(1):  Means second camera or webcam.
• cv2.VideoCapture(“file name.mp4”): Means video file

Step 1: Import the required modules,

Python3

import cv2
import numpy as np

Step 2: Creating the object of the VideoCapture and read the input file

Python3

cap = cv2.VideoCapture('Spend Your Summer Vacations Wisely! Ft. Sandeep Sir _ GeeksforGeeks.mp4')

Step 3: Check if the camera is opened or not,

Python3

if (cap.isOpened()== False):
# Give a error message

Step 4: Entire file is read frame by frame,

Python3

# Read the entire file until it is completed
while(cap.isOpened()):
  # Capture each frame
    ret, frame = cap.read()
      if ret == True:
      # Display the resulting frame

Below is the complete implementation

Python3

# importing libraries
import cv2
import numpy as np

# Create a VideoCapture object and read from input file
cap = cv2.VideoCapture('Spend Your Summer Vacations\
Wisely! Ft. Sandeep Sir _ GeeksforGeeks.mp4')

# Check if camera opened successfully
if (cap.isOpened()== False):
    print("Error opening video file")

# Read until video is completed
while(cap.isOpened()):

# Capture frame-by-frame
    ret, frame = cap.read()
    if ret == True:
    # Display the resulting frame
        cv2.imshow('Frame', frame)

    # Press Q on keyboard to exit
        if cv2.waitKey(25) & 0xFF == ord('q'):
            break

# Break the loop
    else:
        break

# When everything done, release
# the video capture object
cap.release()

# Closes all the frames
cv2.destroyAllWindows()

Output:

Output video frames

Note : Video file should have in same directory where program is executed.

Explanation:

Here we are first importing the required modules first and using the VideoCapture() method to read the input video file and raise a error if the file didn’t open and imshow() to present the frame that was fetched.