How to capture a video in Python OpenCV and save

In this article, you will learn how to capture a video using Python OpenCV and save it to a directory.

OpenCV stands for Open Source Computer Vision Library. It is a free, open source library that is used for computer vision. It provides good support in Machine Learning, Face Recognition, and Deep Learning. This library is written in optimized C/C++ and is supported in Windows, Linux, Android and MacOS. This module is being used for a very wide range of applications, like - Object Identification, Image processing, Video processing, and so on. It provides lots of functions for video processing. Here, we have mentioned some of the important OpenCV methods that we have used in this article for video processing-

Reading a Video

In OpenCV, we can read a video either from a camera or from a video file. OpenCV provides the cv2.VideoCapture() method for this. It accepts either a video file or a device index as an argument. If we want to connect one camera device, the device index will be '0', i.e., cv2.VideoCapture(0). When we want to connect two cameras, the device index will be '1'.

cap = cv2.VideoCapture(0)

Create Video Codec

A video codec is an electronic circuit or software that compresses or decompresses digital video. The FourCC is a 4-byte code used to specify the video codec. The OpenCV provides cv2.VideoWriter_fourcc() method to initialize the fourcc codec. The XVID format is more preferable.

video_cod = cv2.VideoWriter_fourcc(*'XVID')

Video Writer

Next, we will create a VideoWriter object. It accepts the output video file name in the first argument, the video codec in the second argument, the number of frames per second in the third argument and frame size in the fourth argument.

video_output = cv2.VideoWriter('captured_video.avi',
                      video_cod,
                      10,
                      (frame_width,frame_height))

Write the frame to file

Next, we will write the frame into the file 'captured_video.avi' using the write() method-

video_output.write(frame)
cv2.imshow('frame',frame)

Stop Video Recording

The given line waits for the keyboard button (X) to be pressed using the cv2.waitKey() method to stop the video recording.

if cv2.waitKey(1) & 0xFF == ord('x'):
      break

Release the objects and destroy windows

Next, use the release() and cv2.destroyAllWindows() methods to release the objects and destroy all windows.

cap.release()
video_output.release()

cv2.destroyAllWindows() 

Complete Code: Capture and save a video in Python OpenCV

import cv2
import numpy as np

# Create an object to read camera video 
cap = cv2.VideoCapture(0)

# Check if camera opened successfully
if (cap.isOpened() == False): 
  print("Camera is unable to open.")

# Set resolutions of frame.
# convert from float to integer.
frame_width = int(cap.get(3))
frame_height = int(cap.get(4))

# Create VideoWriter object.
# and store the output in 'captured_video.avi' file.

video_cod = cv2.VideoWriter_fourcc(*'XVID')
video_output= cv2.VideoWriter('captured_video.avi',
                      video_cod,
                      10,
                      (frame_width,frame_height))

while(True):
  ret, frame = cap.read()

  if ret == True: 
    
    # Write the frame into the file 'captured_video.avi'
    video_output.write(frame)

    # Display the frame, saved in the file   
    cv2.imshow('frame',frame)

    # Press x on keyboard to stop recording
    if cv2.waitKey(1) & 0xFF == ord('x'):
      break

  # Break the loop
  else:
    break  

# release video capture
# and video write objects
cap.release()
video_output.release()

# Closes all the frames
cv2.destroyAllWindows() 

print("The video was successfully saved") 

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