Aidge Backend OpenCV

Aidge Backend CUDA is the implementation library for computer vision databases, OpenCV tensor, operators and stimulis within the Aidge framework.

Quick Start

Prerequisite:

• aidge_core
• aidge_backend_cpu

• OpenCV

[!TIP] On Windows at least, make sure to add the following environment variables:

• OpenCV_DIR - It should be set to OpenCV build's folder, e.g. opencv-X.Y.Z\build
• OPENCV_DLL_DIR - It should be set to OpenCV dll's folder, e.g. opencv-X.Y.Z\build\x64\vc16\bin

pip install aidge-backend-opencv

🛠 Build from Source

Prerequisite (in addition to previous one):

• Please review the global installation instructions before proceeding.
• If using a virtual environment, use the same one for all Aidge modules.

1. Python or C++ installation using setup scripts

[!TIP] Use Get-Help setup.ps1 (Windows) or ./setup.sh -h (Unix) for full documentation.

2. Python Installation (pip)

Run these commands from the aidge_backend_opencv/ directory:

# Standard install
pip install . -v

# Install with testing dependencies
pip install .[test] -v && pytest

Editable Install (Experimental)

Use this for real-time development without re-installing.

pip install --no-build-isolation -ve . --config-settings=editable.rebuild=true -Cbuild-dir=build

3. C++ Installation (CMake)

[!IMPORTANT] Use this for C++ only projects. This method does not create a Python package.

A CMakePresets.json is provided for standard configurations.

# Configure, Build, and Install
cmake --preset clang-debug
cmake --build --preset clang-debug
cmake --install

# Run C++ Tests
ctest --test-dir build/

[!TIP] Create a CMakeUserPresets.json to define your own local build configurations.