apoorva
21f381238d
git-subtree-dir: darknet_vendor git-subtree-mainline: a6a4482dd123151500d3e4fbd0a4f36738d23fa3 git-subtree-split: 4d609295280bf9b50cde69bb9a483a8db839ba0b
69 lines
1.5 KiB
Markdown
69 lines
1.5 KiB
Markdown
# darknet_vendor
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This is a CMake wrapper around [darknet](https://pjreddie.com/darknet), an open source neural network framework.
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# Building
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```
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cd darknet_vendor/
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mkdir build/
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cd build/
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cmake -DCMAKE_BUILD_TYPE=Release ..
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make
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```
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The package offers two CMake options to control how it is built.
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* `DARKNET_CUDA` (default: `On`) - Whether or not to build with CUDA support
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* `DARKNET_OPENCV` (default: `On`) - Whether or not to build with OpenCV support
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These can be disabled prior to compiling if you don't need either of those dependencies.
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```
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cmake -DDARKNET_CUDA=Off -DDARKNET_OPENCV=Off ..
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```
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# ROS 2 and Colcon
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The package includes `package.xml` and should build fine using ROS 2 Dashing.
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```
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colcon build --cmake-args -DCMAKE_BUILD_TYPE=Release --packages-select darknet_vendor
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```
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# Using darknet
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If you are using `ament_cmake`, use `ament_target_dependencies()` as normal.
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```CMake
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find_package(darknet_vendor REQUIRED)
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#...
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ament_target_dependencies(my_library_or_executable_target
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darknet_vendor)
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```
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Otherwise, use the exported target `darknet_vendor::darknet_vendor`
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```CMake
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find_package(darknet_vendor REQUIRED)
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#...
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target_link_libraries(my_library_or_executable_target PUBLIC darknet_vendor::darknet_vendor)
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```
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Then include the `darknet.h` header in your project to make darknet functions available.
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```C
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#include <darknet.h>
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```
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Alternatively, include `darknet_vendor/darknet_vendor.h` to get preprocessor definitions with info about the installed `darknet_vendor` version.
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```C
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#include <darknet_vendor/darknet_vendor.h>
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```
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