Book Image

Python Multimedia

By : Ninad Sathaye
Book Image

Python Multimedia

By: Ninad Sathaye

Overview of this book

Multimedia applications are used by a range of industries to enhance the visual appeal of a product. This book will teach the reader how to perform multimedia processing using Python. This step-by-step guide gives you hands-on experience for developing exciting multimedia applications using Python. This book will help you to build applications for processing images, creating 2D animations and processing audio and video. Writing applications that work with images, videos, and other sensory effects is great. Not every application gets to make full use of audio/visual effects, but a certain amount of multimedia makes any application a lot more appealing. There are numerous multimedia libraries for which Python bindings are available. These libraries enable working with different kinds of media, such as images, audio, video, games, and so on. This book introduces the reader to the most widely used open source libraries through several exciting, real world projects. Popular multimedia frameworks and libraries such as GStreamer,Pyglet, QT Phonon, and Python Imaging library are used to develop various multimedia applications.
Table of Contents (13 chapters)
Python Multimedia Beginner's Guide
Credits
About the Author
About the Reviewers
Preface

Time for action – saving video frames as images


This file can be run from the command line as:

python ImagesFromVideo.py [options] 

Here the [options] are:

  • --input_file: The full path to input video file from which one or more frames need to be captured and saved as images.

  • --start_time: The position in seconds on the video track. This will be the starting position from which one or more video frames will be captured as still image(s). The first snapshot will always be at start_time.

  • --duration: The duration (in seconds) of the video track starting from the start_time. 'N' number of frames will be captured starting from the start_time.

  • --num_of_captures: Total number of frames that need to be captured from start_time (including it) up to, end_time= start_time + duration (but not including the still image at end_time).

  1. If not already done, download the file ImagesFromVideo.py from the Packt website. Following is an outline of the code for saving video frames.

    import os, sys, time
    import thread...