Determine video length in Python with the aid of OpenCV library
In this article, we'll demonstrate how to calculate the duration of a video in a human-readable format using OpenCV and Python. This method is practical and standard for video duration extraction in OpenCV with Python.
To get started, you'll first need to install the OpenCV module using pip with the command "pip install opencv-python". Once installed, you can use the following steps to calculate a video's duration:
- Open the video file with .
```python import cv2
cap = cv2.VideoCapture('path_to_video.mp4') ```
- Retrieve the total number of frames using .
```python
total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) ```
- Retrieve the frames per second (FPS) using .
```python
fps = cap.get(cv2.CAP_PROP_FPS) ```
- Calculate the duration in seconds as total frames divided by FPS.
```python
duration_seconds = total_frames / fps ```
- Convert the duration to a formatted timedelta string for human readability using .
```python
from datetime import timedelta duration = str(timedelta(seconds=round(duration_seconds))) ```
Finally, print the calculated duration in a clear format:
This code will print the duration in a format like , which means 0 hours, 2 minutes, 15 seconds. Using is convenient since it automatically handles hours, minutes, and seconds formatting, making this method reliable for video duration extraction in OpenCV with Python.
[1] This method is based on the example provided in the OpenCV documentation. For more information, please refer to the official documentation: https://docs.opencv.org/master/d3/d52/group__videoio__capture__globals.html#gaa6087b3c3d9f0b460646a76b2b1a747f4
Incorporating the Trie data structure, technology could aid in organizing the video files based on their duration for efficient video retrieval in the video library.
As technology advances, the integration of OpenCV and Python with Trie could offer a more streamlined and user-friendly method for video duration extraction, making it easier for users to navigate and manage their video collection.
