Python wrapper around TinyEXR and stb_image
Project description
Simple Image IO
A lightweight C# and Python wrapper to read and write RGB images from / to various file formats. Supports .exr via tinyexr and a number of other formats (including .png, .jpg, .bmp) via stb_image and stb_image_write.
The Nuget package contains prebuilt binaries of the C++ wrapper, compiled with the x86-64 versions of Windows 10, Ubuntu 20.04, and macOS 10.15. These should be compatible with most other x86-64 versions of Windows, Linux, and macOS, so most users can simply grab the package off Nuget.
The Python package is set up to automatically download an adequate CMake version and compile the C++ code on any platform.
Provided you have a C++11 compiler installed, you can simply run:
pip install simpleimageio
.
Dependencies
All dependencies are header-only. Building requires
- a C++11 (or newer) compiler
- CMake
- .NET 5.0 (or newer)
- Python ≥ 3.6
Building the C# wrapper on x86-64 Windows, Linux, or macOS
Build the C++ low level library with CMake:
mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
cmake --build . --config Release
cmake --install .
cd ..
Compile and run the tests (optional):
dotnet test
That's it. Simply add a reference to SimpleImageIO/SimpleImageIO.csproj
to your project and you should be up and running.
Building the C# wrapper on other platforms
The SimpleImageIO.csproj file needs to copy the correct .dll / .so / .dylib file to the appropriate runtime folder. Currently, the runtime identifiers (RID) and copy instructions are only set for the x86-64 versions of Windows, Linux, and macOS. To run the framework on other architectures, you will need to add them to the .csproj file. You can find the right RID for your platform here: https://docs.microsoft.com/en-us/dotnet/core/rid-catalog.
Then, you should be able to follow the steps above and proceed as usual.
Building the Python wrapper
Simply running:
python -m build
will automatically fetch an adequate version of CMake, compile the shared library, and build the Python package. You can then simply install the result via:
pip install ./dist/SimpleImageIO-*.whl
The tests can be run via:
cd PyTest
python -m unittest
Usage example (C#)
The following creates a one pixel image and writes it to various file formats:
RgbImage img = new(width: 1, height: 1);
img.SetPixel(0, 0, new(0.1f, 0.4f, 0.9f));
img.WriteToFile("test.exr");
img.WriteToFile("test.png");
img.WriteToFile("test.jpg");
Reading an image from one of the supported formats is equally simple:
RgbImage img = new("test.exr");
Console.WriteLine(img.GetPixel(0, 0).Luminance);
Usage example (Python)
The following creates a one pixel image and writes it to various file formats:
import simpleimageio as sio
sio.write("test.exr", [[[0.1, 0.4, 0.9]]])
sio.write("test.png", [[[0.1, 0.4, 0.9]]])
sio.write("test.jpg", [[[0.1, 0.4, 0.9]]])
Reading an image from one of the supported formats is equally simple:
img = sio.read("test.exr")
print(img[0,0,0])
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