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rawpy 0.10.1

RAW image processing for Python, a wrapper for libraw

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

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)


Binary wheels for Linux, macOS, and Windows are provided for Python 2.7, 3.4, 3.5, and 3.6. These can be installed with a simple pip install rawpy. Currently, Linux and macOS wheels are only available as 64 bit versions.

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On Ubuntu, you can get (an outdated) version with: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 libraw
git clone libraw-cmake
cd libraw
git checkout 0.18.2
cp -R ../libraw-cmake/* .
cmake .
sudo make install

After that, install rawpy using pip install rawpy --no-binary :all:.

If you get the error “ImportError: 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/
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
2.7 >= 1.7
3.4 >= 1.8
3.5 >= 1.9
3.6 >= 1.11
File Type Py Version Uploaded on Size
rawpy-0.10.1-cp27-cp27m-macosx_10_10_x86_64.whl (md5) Python Wheel cp27 2017-07-28 497KB
rawpy-0.10.1-cp27-cp27m-win32.whl (md5) Python Wheel 2.7 2017-07-28 334KB
rawpy-0.10.1-cp27-cp27m-win_amd64.whl (md5) Python Wheel 2.7 2017-07-28 376KB
rawpy-0.10.1-cp27-cp27mu-manylinux1_x86_64.whl (md5) Python Wheel cp27 2017-07-28 605KB
rawpy-0.10.1-cp34-cp34m-macosx_10_10_x86_64.whl (md5) Python Wheel cp34 2017-07-28 496KB
rawpy-0.10.1-cp34-cp34m-manylinux1_x86_64.whl (md5) Python Wheel cp34 2017-07-28 637KB
rawpy-0.10.1-cp34-cp34m-win32.whl (md5) Python Wheel 3.4 2017-07-28 311KB
rawpy-0.10.1-cp34-cp34m-win_amd64.whl (md5) Python Wheel 3.4 2017-07-28 348KB
rawpy-0.10.1-cp35-cp35m-macosx_10_10_x86_64.whl (md5) Python Wheel cp35 2017-07-28 496KB
rawpy-0.10.1-cp35-cp35m-manylinux1_x86_64.whl (md5) Python Wheel cp35 2017-07-28 635KB
rawpy-0.10.1-cp35-cp35m-win32.whl (md5) Python Wheel 3.5 2017-07-28 440KB
rawpy-0.10.1-cp35-cp35m-win_amd64.whl (md5) Python Wheel 3.5 2017-07-28 507KB
rawpy-0.10.1-cp36-cp36m-macosx_10_10_x86_64.whl (md5) Python Wheel cp36 2017-07-28 497KB
rawpy-0.10.1-cp36-cp36m-manylinux1_x86_64.whl (md5) Python Wheel cp36 2017-07-28 640KB
rawpy-0.10.1-cp36-cp36m-win32.whl (md5) Python Wheel 3.6 2017-07-28 441KB
rawpy-0.10.1-cp36-cp36m-win_amd64.whl (md5) Python Wheel 3.6 2017-07-28 508KB
rawpy-0.10.1.tar.gz (md5) Source 2017-07-28 104KB