This library optimizes JPEGs losslessly using MozJPEG.
To reduce the file sizes,
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.
Optimizing (losslessly) a JPEG:
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)
To preserve image metadata, you can set the copy parameter to mozjpeg_lossless_optimization.COPY_MARKERS.ALL:
output_jpeg_bytes = mozjpeg_lossless_optimization.optimize(
input_jpeg_bytes,
copy=mozjpeg_lossless_optimization.COPY_MARKERS.ALL,
)
Possible values for the copy parameter:
COPY_MARKERS.NONE: copy no optional markers (default),COPY_MARKERS.COMMENTS: copy only comment (COM) markers,COPY_MARKERS.ALL: copy all optional markers,COPY_MARKERS.ALL_EXCEPT_ICC: copy all optional markers except APP2,COPY_MARKERS.ICC: copy only ICC profile (APP2) markers.Converting an image to an optimized JPEG (using Pillow):
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")
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).
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
Get the source and build C lib and module:
# 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
MozJPEG Lossless Optimization is licensed under the BSD 3 Clause license. See the LICENSE file for more information.
MozJPEG is covered by three compatible BSD-style open source licenses. See its license file for more information.
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