Socket
Socket
Sign inDemoInstall

mozjpeg-lossless-optimization

Package Overview
Dependencies
Maintainers
2
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

mozjpeg-lossless-optimization

Optimize JPEGs losslessly using MozJPEG


Maintainers
2

MozJPEG Lossless Optimization

|Github| |Discord| |PYPI Version| |Build Status| |Black| |License|

This library optimizes JPEGs losslessly using MozJPEG_.

To reduce the file sizes,

  • the Huffman table of the JPEGs is optimized,
  • the baseline JPEGs are converted to progressive JPEGs,
  • and any metadata and ICC profiles are removed.

The JPEGs optimized with this library are identical to what you get using the jpegtran tool from MozJPEG with the -optimize, -progressive and -copy none options.

.. _MozJPEG: https://github.com/mozilla/mozjpeg

Usage

Optimizing (losslessly) a JPEG:

.. code-block:: python

import mozjpeg_lossless_optimization

with open("./image.jpg", "rb") as input_jpeg_file: input_jpeg_bytes = input_jpeg_file.read()

output_jpeg_bytes = mozjpeg_lossless_optimization.optimize(input_jpeg_bytes)

with open("./out.jpg", "wb") as output_jpeg_file: output_jpeg_file.write(output_jpeg_bytes)

Converting an image to an optimized JPEG (using Pillow <https://pillow.readthedocs.io/>_):

.. code-block:: python

from io import BytesIO

from PIL import Image  # pip install pillow
import mozjpeg_lossless_optimization


def convert_to_optimized_jpeg(input_path, output_path):
    jpeg_io = BytesIO()

    with Image.open(input_path, "r") as image:
        image.convert("RGB").save(jpeg_io, format="JPEG", quality=90)

    jpeg_io.seek(0)
    jpeg_bytes = jpeg_io.read()

    optimized_jpeg_bytes = mozjpeg_lossless_optimization.optimize(jpeg_bytes)

    with open(output_path, "wb") as output_file:
        output_file.write(optimized_jpeg_bytes)


convert_to_optimized_jpeg("input.png", "optimized.jpg")

Install

From PyPI


To install MozJPEG Lossless Optimization from PyPI, just run the following
command::

    pip install mozjpeg-lossless-optimization

.. NOTE::

   We provide precompiled packages for most common platforms. You may need to
   install additional build dependencies if there is no precompiled package
   available for your platform (see below).


From Sources

To install MozJPEG Lossless Optimization, MozJPEG will be compiled, so you will need a C compilator and cmake. On Debian / Ubuntu you can install everything you need with the following command::

sudo apt install build-essential cmake python3 python3-dev python3-pip python3-setuptools

Once everything installed, clone this repository::

git clone https://github.com/wanadev/mozjpeg-lossless-optimization.git

Then navigate to the project's folder::

cd mozjpeg-lossless-optimization

Retrieve submodules::

git submodule init
git submodule update

And finally build and install using the following command::

python3 setup.py install

Hacking

Get the source and build C lib and module:

.. code-block:: sh

# Install system dependencies
sudo apt install build-essential cmake python3 python3-dev python3-pip python3-setuptools

# Get the sources
git clone https://github.com/wanadev/mozjpeg-lossless-optimization.git
cd mozjpeg-lossless-optimization
git submodule init
git submodule update

# Create and activate a Python virtualenv
python3 -m venv __env__
source __env__/bin/activate

# Install Python dependencies in the virtualenv
pip install cffi

# Build MozJPEG
# This will generate files in ./mozjpeg/build/ folder
python setup.py build

# Build the CFFI module "in-place"
# This will create the ./mozjpeg_lossless_optimization/_mozjpeg_opti.*.so file on Linux
python ./mozjpeg_lossless_optimization/mozjpeg_opti_build.py

Lint::

pip install nox
nox -s lint

Run tests::

pip install nox
pip -s test

Licenses

MozJPEG Lossless Optimization is licensed under the BSD 3 Clause license. See the LICENSE <https://github.com/wanadev/mozjpeg-lossless-optimization/blob/master/LICENSE>_ file for more information.

MozJPEG is covered by three compatible BSD-style open source licenses. See its license file <https://github.com/mozilla/mozjpeg/blob/master/LICENSE.md>_ for more information.

Changelog

  • [NEXT] (changes on master but not released yet):

    • Nothing yet ;)
  • v1.1.3:

    • Added Python 3.12 support (@flozz, #6)
    • Removed Python 3.7 support (@flozz)
  • v1.1.2:

    • Added Python 3.11 support
  • v1.1.1:

    • Fix sdist package: missing MozJPEG source files added
  • v1.1.0:

    • Update mozjpeg to latest master commit: fd56921 (v4.1.1+)
  • v1.0.2:

    • arm64 and universal2 wheels for macOS on Apple Silicon
    • x86 and x68_64 wheels for musl-based Linux distro (Alpine,...)
  • v1.0.1: Python 3.10 support and wheels

  • v1.0.0: Handle JPEG decompression errors

  • v0.9.0: First public release

.. |Github| image:: https://img.shields.io/github/stars/wanadev/mozjpeg-lossless-optimization?label=Github&logo=github :target: https://github.com/wanadev/mozjpeg-lossless-optimization .. |Discord| image:: https://img.shields.io/badge/chat-Discord-8c9eff?logo=discord&logoColor=ffffff :target: https://discord.gg/BmUkEdMuFp .. |PYPI Version| image:: https://img.shields.io/pypi/v/mozjpeg-lossless-optimization.svg :target: https://pypi.python.org/pypi/mozjpeg-lossless-optimization .. |Build Status| image:: https://github.com/wanadev/mozjpeg-lossless-optimization/actions/workflows/python-ci.yml/badge.svg :target: https://github.com/wanadev/mozjpeg-lossless-optimization/actions .. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://black.readthedocs.io/en/stable/ .. |License| image:: https://img.shields.io/pypi/l/mozjpeg-lossless-optimization.svg :target: https://github.com/wanadev/mozjpeg-lossless-optimization/blob/master/LICENSE

Keywords

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc