Skip to main content

Python wrapper for the LibRaw library

Project description

Linux Build Status Mac OS X 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

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)

NumPy Dependency

Before installing rawpy, you need to have numpy installed. You can check your numpy version with pip freeze.

The minimum supported numpy version depends on your Python version:

Python

numpy

2.7

>= 1.7.1

3.4

>= 1.8.1

3.5

>= 1.9.3

You can install numpy with pip install numpy.

Installation on Windows and Mac OS X

Binaries are provided for Python 2.7, 3.4 and 3.5 for both 32 and 64 bit. These can be installed with a simple pip install --use-wheel rawpy (or just pip install rawpy if using pip >= 1.5).

Installation on Linux

You need to have the LibRaw library installed to use this wrapper.

On Ubuntu, you can get (an outdated) version with: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 0.18.0
cp -R ../libraw-cmake/* .
cmake .
sudo make install

After that, it’s the usual pip install rawpy.

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.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

rawpy-0.8.0-cp35-cp35m-win_amd64.whl (517.8 kB view hashes)

Uploaded CPython 3.5m Windows x86-64

rawpy-0.8.0-cp35-cp35m-win32.whl (449.2 kB view hashes)

Uploaded CPython 3.5m Windows x86

rawpy-0.8.0-cp35-cp35m-macosx_10_10_intel.whl (806.3 kB view hashes)

Uploaded CPython 3.5m macOS 10.10+ intel

rawpy-0.8.0-cp34-cp34m-win_amd64.whl (356.8 kB view hashes)

Uploaded CPython 3.4m Windows x86-64

rawpy-0.8.0-cp34-cp34m-win32.whl (318.4 kB view hashes)

Uploaded CPython 3.4m Windows x86

rawpy-0.8.0-cp34-cp34m-macosx_10_10_intel.whl (806.6 kB view hashes)

Uploaded CPython 3.4m macOS 10.10+ intel

rawpy-0.8.0-cp27-cp27m-win_amd64.whl (383.6 kB view hashes)

Uploaded CPython 2.7m Windows x86-64

rawpy-0.8.0-cp27-cp27m-win32.whl (341.2 kB view hashes)

Uploaded CPython 2.7m Windows x86

rawpy-0.8.0-cp27-cp27m-macosx_10_10_x86_64.whl (807.0 kB view hashes)

Uploaded CPython 2.7m macOS 10.10+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page