This is a CMake wrapper around darknet, an open source neural network framework.

cd darknet_vendor/
mkdir build/
cd build/
cmake -DCMAKE_BUILD_TYPE=Release ..
make

The package offers two CMake options to control how it is built.

• DARKNET_CUDA (default: On) - Whether or not to build with CUDA support
• DARKNET_OPENCV (default: On) - Whether or not to build with OpenCV support

These can be disabled prior to compiling if you don't need either of those dependencies.

cmake -DDARKNET_CUDA=Off -DDARKNET_OPENCV=Off ..

The package includes package.xml and should build fine using ROS 2 Dashing.

colcon build --cmake-args -DCMAKE_BUILD_TYPE=Release --packages-select darknet_vendor

If you are using ament_cmake, use ament_target_dependencies() as normal.

find_package(darknet_vendor REQUIRED)

#...

ament_target_dependencies(my_library_or_executable_target
  darknet_vendor)

Otherwise, use the exported target darknet_vendor::darknet_vendor

find_package(darknet_vendor REQUIRED)

#...

target_link_libraries(my_library_or_executable_target PUBLIC darknet_vendor::darknet_vendor)

Then include the darknet.h header in your project to make darknet functions available.

#include <darknet.h>

Alternatively, include darknet_vendor/darknet_vendor.h to get preprocessor definitions with info about the installed darknet_vendor version.

#include <darknet_vendor/darknet_vendor.h>