OpenCV is one of the most popular cross-platform libraries and it is widely used in Deep Learning, image processing, video capturing, and many more. In this article, we will learn how to get the duration of a given video using python and computer vision.
Prerequisites:
Installation
Opencv can be downloaded by running the given command on the terminal:
pip install Opencv
Approach
To get the duration of a video, the following steps has to be followed:
- Import required modules.
- Create a VideoCapture object by providing video URL to VideoCapture() method.
Syntax:
VideoCapture("url")
- Count the total numbers of frames and frames per second of a given video by providing cv2.CAP_PROP_FRAME_COUNT and cv2.CAP_PROP_FPS to get() method.
- Calculate the duration of the video in seconds by dividing frames and fps.
- Also, calculate video time using timedelta() method.
Syntax:
timedelta(time)
Implementation:
Python3
# import module import cv2 import datetime # create video capture object data = cv2.VideoCapture('C:/Users/Asus/Documents/videoDuration.mp4') # count the number of frames frames = data.get(cv2.CAP_PROP_FRAME_COUNT) fps = data.get(cv2.CAP_PROP_FPS) # calculate duration of the video seconds = round(frames / fps) video_time = datetime.timedelta(seconds=seconds) print(f"duration in seconds: {seconds}") print(f"video time: {video_time}") |
Output :
duration in seconds: 28 video time: 0:00:28
