This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

libjpeg-turbo cffi bindings and helper classes

Project Description
jpeg4py
=======

Python cffi libjpeg-turbo bindings and helper classes.

The purpose of this package is to provide thread-safe and aware of GIL Python
bindings to libjpeg-turbo which work with numpy arrays on
Python 2, 3 and PyPy.

Tested with Python 2.7, Python 3.4 and PyPy on Ubuntu 14.04.

Covered TurboJPEG API:
```
tjInitDecompress
tjDecompressHeader2
tjDecompress2
```
so, currently, only decoding of jpeg files is possible, and
it is about 1.3 times faster than Image.open().tobytes() and
scipy.misc.imread() in a single thread and up to 9 times faster in
multithreaded mode.

Installation
------------

Requirements:

1. numpy
2. libjpeg-turbo

On Ubuntu, the shared library is included in libturbojpeg package:
```bash
sudo apt-get install libturbojpeg
```

On Windows, you can download installer from the official libjpeg-turbo [Sourceforge](https://sourceforge.net/projects/libjpeg-turbo/files)
repository, install it and copy turbojpeg.dll to the directory from the system PATH.

On Mac OS X, you can download the DMG from the official libjpeg-turbo [Sourceforge](https://sourceforge.net/projects/libjpeg-turbo/files)
repository and install it.

If you have a custom library which is TurboJPEG API compatible,
just call jpeg4py.initialize with tuple containing that library's file name.

To install the module run:
```bash
python -m pip install jpeg4py
```
or
```bash
python setup.py install
```
or just copy src/jpeg4py to any place where python interpreter will be able
to find it.

Tests
-----

To run the tests, execute:
```bash
PYTHONPATH=src python -m nose -w tests
```

Example usage:
--------------

```python
import jpeg4py as jpeg
import matplotlib.pyplot as pp


if __name__ == "__main__":
pp.imshow(jpeg.JPEG("test.jpg").decode())
pp.show()
```

License
-------

Released under Simplified BSD License.
Copyright (c) 2014, Samsung Electronics Co.,Ltd.
Release History

Release History

This version
History Node

0.1.2

History Node

0.1.1

History Node

0.1.0

History Node

0.0.1

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
jpeg4py-0.1.2.tar.gz (11.2 kB) Copy SHA256 Checksum SHA256 Source Apr 9, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting