However, ffmpeg-python seems to work well for both simple and complex usage.īelow is the code responsible for extracting the metadata: import ffmpegįrom pprint import pprint # for printing Python dictionaries in a human-readable way There are a lot of Python wrappers of FFmpeg. Once you have it installed, you need to install the Python wrapper: $ pip install ffmpeg-python Use this link to get it installed in your environment. To make everything work properly, you need to install FFmpeg. In this quick tutorial, you will learn how you can extract video or audio metadata in Python using FFmpeg.
Video metadata is all available information about a video file, such as width, height, codec type, fps, duration, and many more. There are many reasons why you want to include the metadata of a video or any media file in your Python application. The input to the task queue is a unit of work called a task.Disclosure: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission. Task queues are used as a mechanism for distributing work between threads or machines. Python Social Auth is an easy-to-configure social authentication/registration mechanism with support for multiple platforms and authentication providers. Django CMSĭjango CMS is a modern web publishing platform built on Django, a web application framework "for perfectionists with deadlines". SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. Django Rest Frameworkĭjango Rest Framework (DRF) is a library that works with standard Django models to create a flexible and powerful API for a project. Django ORM is one of the key pillars of Django. Django ORM Cookbookĭjango ORM Recipes is a book about working with Django ORM and Django models. Python is an easy to learn, powerful programming language. Django is a free framework for Python-based web applications that uses the MVC design pattern.
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