Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012 SHA1 Hash: 2293618ac972fdda2e43636cbb4e93646b10e343 Size: 837.84 KB File Format: exe
Rating: 2.304347826
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Downloads: 467 License: Free
Python Imaging Library is a free software by Fredrik Lundh and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download Python Imaging Library which is 837.84 KB in size and belongs to the software category Components Libraries. Python Imaging Library was released on 2012-03-16 and last updated on our database on 2017-03-04 and is currently at version 1.1.
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Python Imaging Library Description
The Python Imaging Library supports many file formats, and will provide you with powerful graphics capabilities and image processing.
This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.
Image Archives
The Python Imaging Library is ideal for for image archival and batch processing applications. You can use the library to create thumbnails, convert between file formats, print images, etc.
The current version identifies and reads a large number of formats. Write support is intentionally restricted to the most commonly used interchange and presentation formats.
Image Display
The current release includes Tk PhotoImage and BitmapImage interfaces, as well as a Windows DIB interface that can be used with PythonWin and other Windows-based toolkits. Many other GUI toolkits come with some kind of PIL support.
For debugging, theres also a show method which saves an image to disk, and calls an external display utility.
Image Processing
The library contains basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and colour space conversions.
The library also supports image resizing, rotation and arbitrary affine transforms.
Theres a histogram method allowing you to pull some statistics out of an image. This can be used for automatic contrast enhancement, and for global statistical analysis.
Requirements:
ï¿ Python 2.2 or above