Skip to main content

RAW image processing for Python, a wrapper for libraw

Project description

Linux/macOS Build Status Windows Build Status

rawpy is an easy-to-use Python wrapper for the LibRaw library. It also contains some extra functionality for finding and repairing hot/dead pixels.

API Documentation

Jupyter notebook tutorials

Sample code

Load a RAW file and save the postprocessed image using default parameters:

import rawpy
import imageio

path = 'image.nef'
with rawpy.imread(path) as raw:
    rgb = raw.postprocess()
imageio.imsave('default.tiff', rgb)

Save as 16-bit linear image:

with rawpy.imread(path) as raw:
    rgb = raw.postprocess(gamma=(1,1), no_auto_bright=True, output_bps=16)
imageio.imsave('linear.tiff', rgb)

Find bad pixels using multiple RAW files and repair them:

import rawpy.enhance

paths = ['image1.nef', 'image2.nef', 'image3.nef']
bad_pixels = rawpy.enhance.find_bad_pixels(paths)

for path in paths:
    with rawpy.imread(path) as raw:
        rawpy.enhance.repair_bad_pixels(raw, bad_pixels, method='median')
        rgb = raw.postprocess()
    imageio.imsave(path + '.tiff', rgb)

Installation

Binary wheels for Linux, macOS, and Windows are provided for Python 3.5, 3.6, and 3.7. These can be installed with a simple pip install rawpy. Currently, Linux and macOS wheels are only available as 64 bit versions.

The underlying LibRaw library supports several optional features. The following table shows which PyPI binary wheels support which features.

Feature Windows macOS Linux
LCMS color engine no yes yes
RedCine codec no yes yes
DNG deflate codec yes yes yes
DNG lossy codec yes yes yes
Demosaic Pack GPL2 no no no
Demosaic Pack GPL3 no no no
OpenMP yes no yes

Tip: You can dynamically query supported features by inspecting the rawpy.flags dictionary.

Note on Windows features: The LCMS color engine and RedCine codec features are currently not supported as the automated build process to generate wheels relies on Anaconda to supply any needed library dependencies. For RedCine codec support, the Windows variant of the Jasper library is missing, and for LCMS color engine support, the LCMS library is missing.

Note on GPL demosaic packs: The GPL2 and GPL3 demosaic packs are not included as rawpy is licensed under the MIT license which is incompatible with GPL.

Installation from source on Linux/macOS

If you have the need to use a specific libraw version or you can’t use the provided binary wheels then follow the steps in this section to build rawpy from source.

First, install the LibRaw library on your system.

On Ubuntu, you can get (an outdated) version with:

sudo apt-get install libraw-dev

Or install the latest release version from the source repository:

git clone https://github.com/LibRaw/LibRaw.git libraw
git clone https://github.com/LibRaw/LibRaw-cmake.git libraw-cmake
cd libraw
git checkout 0.19.2
cp -R ../libraw-cmake/* .
cmake .
sudo make install

After that, install rawpy using:

git clone https://github.com/letmaik/rawpy
cd rawpy
pip install numpy cython
pip install .

If you get the error “ImportError: libraw.so: cannot open shared object file: No such file or directory” when trying to use rawpy, then do the following:

echo "/usr/local/lib" | sudo tee /etc/ld.so.conf.d/99local.conf
sudo ldconfig

The LibRaw library is installed in /usr/local/lib (if installed manually) and apparently this folder is not searched for libraries by default in some Linux distributions.

NumPy Dependency

rawpy depends on NumPy. The minimum supported NumPy version depends on your Python version:

Python NumPy
3.5 >= 1.9
3.6 >= 1.11
3.7 >= 1.14

Project details


Download files

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

Files for rawpy, version 0.14.0a1
Filename, size File type Python version Upload date Hashes
Filename, size rawpy-0.14.0a1-cp35-cp35m-macosx_10_6_intel.whl (944.8 kB) File type Wheel Python version cp35 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp35-cp35m-manylinux2010_x86_64.whl (1.6 MB) File type Wheel Python version cp35 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp35-cp35m-win32.whl (467.6 kB) File type Wheel Python version cp35 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp35-cp35m-win_amd64.whl (539.1 kB) File type Wheel Python version cp35 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp36-cp36m-macosx_10_9_x86_64.whl (955.2 kB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp36-cp36m-manylinux2010_x86_64.whl (1.6 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp36-cp36m-win32.whl (412.4 kB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp36-cp36m-win_amd64.whl (464.7 kB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp37-cp37m-macosx_10_9_x86_64.whl (953.0 kB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp37-cp37m-manylinux2010_x86_64.whl (1.6 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp37-cp37m-win32.whl (412.4 kB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size rawpy-0.14.0a1-cp37-cp37m-win_amd64.whl (464.8 kB) File type Wheel Python version cp37 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page