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.
Sample code
Load a RAW file and save the postprocessed image using default parameters:
import rawpy
import imageio.v3 as iio
path = 'image.nef'
with rawpy.imread(path) as raw:
rgb = raw.postprocess()
iio.imwrite('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)
iio.imwrite('linear.tiff', rgb)
Extract embedded thumbnail/preview image and save as JPEG:
with rawpy.imread(path) as raw:
# raises rawpy.LibRawNoThumbnailError if thumbnail missing
# raises rawpy.LibRawUnsupportedThumbnailError if unsupported format
thumb = raw.extract_thumb()
if thumb.format == rawpy.ThumbFormat.JPEG:
# thumb.data is already in JPEG format, save as-is
with open('thumb.jpeg', 'wb') as f:
f.write(thumb.data)
elif thumb.format == rawpy.ThumbFormat.BITMAP:
# thumb.data is an RGB numpy array, convert with imageio
iio.imwrite('thumb.jpeg', thumb.data)
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()
iio.imwrite(path + '.tiff', rgb)
Installation
Install rawpy by running:
pip install rawpy
64-bit binary wheels are provided for Linux, macOS, and Windows.
Stable vs. pre-release
All stable rawpy releases are always built against a stable LibRaw library release.
You can output the dynamically loaded LibRaw version with
print(rawpy.libraw_version). The version of the LibRaw headers used to
compile rawpy is available as rawpy.libraw_version_compiled.
rawpy pre-releases have version numbers like 0.15.0a1 and are built against
a recent LibRaw snapshot. To install a pre-release, run:
pip install --pre rawpy
Optional features
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 | yes | yes | yes |
| RedCine codec | yes | 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 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
For macOS, LibRaw is built as part of the rawpy build (see external/). For Linux, you need to 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 0.20.0
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 .
On Linux, 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.
Installation from source on Windows
These instructions are experimental and support is not provided for them. Typically, there should be no need to build manually since wheels are hosted on PyPI.
You need to have Visual Studio and Python installed to build rawpy.
In a PowerShell window:
$env:PYTHON_VERSION = '3.12'
$env:PYTHON_ARCH = 'x86_64'
git clone https://github.com/letmaik/rawpy
cd rawpy
git submodule update --init
.github/scripts/build-windows.ps1
FAQ
I'm getting deadlocks when using multiprocessing on Linux
If you're experiencing deadlocks when using rawpy with Python's multiprocessing module on Linux, this is caused by an interaction between OpenMP (which is enabled in the Linux wheels) and the default fork start method used by multiprocessing.
The Problem: When a process using OpenMP is forked, OpenMP's internal thread pool state becomes inconsistent in the child process, which can cause deadlocks on subsequent calls to rawpy functions.
The Solution:
Use the spawn or forkserver start method instead of fork:
import multiprocessing as mp
import rawpy
def process_raw(filename):
with rawpy.imread(filename) as raw:
rgb = raw.postprocess()
return rgb
if __name__ == '__main__':
# Set the start method to 'spawn' before creating any processes
mp.set_start_method('spawn')
with mp.Pool(processes=4) as pool:
results = pool.map(process_raw, ['image1.nef', 'image2.nef'])
Note: The start method can only be set once per program, and must be called within an if __name__ == '__main__': guard. The spawn method creates a fresh Python interpreter process, avoiding the OpenMP thread state issue entirely.
For more information, see:
I'm getting "LibRawFileUnsupportedError: Unsupported file format or not RAW file"
This error occurs when rawpy/LibRaw cannot recognize the file as a supported RAW image format. Common causes include:
-
The file is not actually a RAW file - Make sure you're trying to open a RAW image file (e.g., .NEF, .CR2, .ARW, .DNG, etc.) and not a regular image format like JPEG or PNG.
-
The file is corrupted or incomplete - If the file was not fully downloaded or is damaged, LibRaw cannot read it properly.
-
The file lacks proper headers - Some proprietary or headerless RAW formats are not supported by LibRaw. RAW files need to contain proper metadata headers that identify the camera model, sensor configuration, and other essential information for LibRaw to decode them.
-
Unsupported camera or RAW format - While LibRaw supports a wide range of cameras, some very new or obscure camera models may not be supported yet. Check the LibRaw website for the list of supported cameras.
What you can do:
- Verify the file is a genuine RAW file from a supported camera
- Try opening the file with the camera manufacturer's software to confirm it's valid
- Check if you're using the latest version of rawpy, as newer versions may support additional cameras
- If you have a headerless or proprietary RAW format, you may need to convert it to a standard format like DNG using the camera manufacturer's tools first
1 maintainer
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