Python | Play a video using OpenCV (original) (raw)

Last Updated : 03 Jul, 2024

**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,

Python `

import cv2

`

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

Python `

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

`

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

Python `

if (cap.isOpened()== False):

Give a error message

`

**Step 4: Entire file is read frame by frame,

Python `

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

Python `

importing libraries

import cv2

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.