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 – cropping an image


This simple code snippet crops an image and applies some changes on the cropped portion.

  1. Download the file Crop.png from Packt website. The size of this image is 400 x 400 pixels. You can also use your own image file.

  2. Write the following code in a Python source file. Modify the path of the image file to an appropriate path.

    import Image
    img = Image.open("C:\\images\\Crop.png")
    left = 0
    upper = 0
    right = 180
    lower = 215
    bbox = (left, upper, right, lower)
    img = img.crop(bbox)
    img.show()
  3. This will crop a region of the image bounded by bbox. The specification of the bounding box is identical to what we have seen in the Capturing screenshots section. The output of this example is shown in the following illustration.

    Original image (left) and its cropped region (right).

What just happened?

In the previous section, we used Image.crop functionality to crop a region within an image and save the resultant image. In the next section, we will apply this while pasting a region...