Dtt
A C++ header-only for data transfer between linear algebra libraries (Eigen, Armadillo, OpenCV, ArrayFire, LibTorch).
**dtt** is a lightweight, header-only C++ library designed to seamlessly transfer matrix and array data between major linear-algebra libraries. It supports [Eigen](https://libeigen.gitlab.io/), [Armadillo](https://arma.sourceforge.net/), [OpenCV](https://opencv.org/) (`cv::Mat`), [ArrayFire](https://arrayfire.com/), and [LibTorch](https://docs.pytorch.org/cppdocs/) (PyTorch C++), offering simple one-call conversion functions in every direction (e.g., `eigen2arma`, `cv2af`, `libtorch2eigen`, etc.... The project is written primarily in C++, distributed under the MIT License license, first published in 2019. Key topics include: armadillo, arrayfire, cpp, eigen, libtorch.
Data Transfer Tools for C++ Linear Algebra Libraries.
dtt is a lightweight, header-only C++ library designed to seamlessly transfer matrix and array data between major linear-algebra libraries. It supports Eigen, Armadillo, OpenCV (cv::Mat), ArrayFire, and LibTorch (PyTorch C++), offering simple one-call conversion functions in every direction (e.g., eigen2arma, cv2af, libtorch2eigen, etc.). The library requires only C++17 and no build step—just include dtt.h. It’s primarily a convenience layer that removes the need for manual data-format juggling when working across heterogeneous numerical libraries, and includes tests and example usage in the test/ directory.
Currently, it supports data transfer between the following libraries:
- Eigen (>=3.3.x)
- Armadillo (>=9.x)
- OpenCV (cv::Mat) (2.x, 3.x, 4.x)
- ArrayFire (>=3.x)
- LibTorch (PyTorch C++) (>=1.x)
Current status:
Last page update: 25/08/2019
| From/To | Eigen | Armadillo | OpenCV | ArrayFire | LibTorch |
|---|---|---|---|---|---|
| Eigen | - | X | X | X | X |
| Armadillo | X | - | X | X | X |
| OpenCV | X | X | - | X | X |
| ArrayFire | X | X | X | - | X |
| LibTorch | X | X | X | X | - |
Tested on:
- MacBook Pro (13-inch, 2017)
- Mac OS X Mojave (10.14.5), Clang 10 (clang-1000.11.45.5), Xcode 10.1 with the following libraries:
-
- OpenCV 4.1.1 (stable, built from source)
-
- Eigen 3.3.7 (stable)
-
- Armadillo 9.600.5 (stable)
-
- ArrayFire 3.6.4 (stable)
-
- LibTorch (1.3.0.dev20190820)
Install dependencies:
brew install eigen
brew install armadillo
# download and install ArrayFire: https://arrayfire.com/download/
# download and install LibTorch: https://pytorch.org/get-started/locally/
# download adn install OpenCV: https://opencv.org/releases/
How to compile and run:
git clone https://github.com/andrewssobral/dtt.git
cd dtt && mkdir build && cd build
cmake -DCMAKE_PREFIX_PATH=$LIBTORCH_HOME ..
./dtt_test
How to use:
c#include <dtt.h> using namespace dtt; // that's all!
List of available functions:
-
From Eigen:
-
- eigen2arma
-
- eigen2cv
-
- eigen2af
-
- eigen2libtorch
-
From Armadillo:
-
- arma2eigen
-
- arma2cv
-
- arma2af
-
- arma2libtorch
-
From OpenCV:
-
- cv2eigen
-
- cv2arma
-
- cv2af
-
- cv2libtorch
-
From ArrayFire:
-
- af2eigen
-
- af2arma
-
- af2cv
-
- af2libtorch
-
From LibTorch:
-
- libtorch2eigen
-
- libtorch2arma
-
- libtorch2cv
-
- libtorch2af
See test/dtt_test.h and test/dtt_test.cpp for usage examples.
Contributors
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