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greenhouse/darknet_vendor/README.md
apoorva 21f381238d Add 'darknet_vendor/' from commit '4d609295280bf9b50cde69bb9a483a8db839ba0b' 
git-subtree-dir: darknet_vendor
git-subtree-mainline: a6a4482dd123151500d3e4fbd0a4f36738d23fa3
git-subtree-split: 4d609295280bf9b50cde69bb9a483a8db839ba0b
2023-03-10 18:45:53 +05:30

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darknet_vendor

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

Building

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 ..

ROS 2 and Colcon

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

Using darknet

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>