darknet-sys: FFI bindings to AlexeyAB's Darknet

Usage

To be used with darknet crate.

If you want to build from this repo, run git submodule init && git submodule update --recursive to get all submodules.

Build

Terms used:

darknet-sys, darknet = Rust wrappers

libdarknet = C/C++ darknet implementation

By default, darknet-sys will compile and link libdarknet statically. You can control the feature flags to change the behavior.

Cargo Features

• enable-cuda: Enable CUDA (expects CUDA 10.x and cuDNN 7.x).
• enable-cudnn: Enable cuDNN
• enable-opencv: Enable OpenCV.
• runtime: Link to libdarknet dynamic library. For example, libdark.so on Linux.
• dylib: Build dynamic library instead of static
• buildtime-bindgen: Generate bindings from libdarknet headers.

Method 1: Download and build from source (default)

sh cargo build

You can optionally enable CUDA and OpenCV features. Please read Build with CUDA for more info.

sh cargo build --features enable-cuda,enable-opencv

Method 2: Build with custom source

If you want to build with custom libdarknet source, point DARKNET_SRC environment variable to your source path. It should contain CMakeLists.txt.

sh export DARKNET_SRC=/path/to/your/darknet/repo cargo build

Method 3: Link to libdarknet dynamic library

With runtime feature, darknet-sys will not compile libdarknet source code and instead links to libdarknet dynamically. If you are using Linux, make sure libdark.so is installed on your system.

sh cargo build --feature runtime

Re-generate bindings

With buildtime-bindgen feature, darknet-sys re-generates bindings from headers. The option is necessary only when darkent is updated or modified.

If you want to use your (possibly modified) header files, point DARKNET_INCLUDE_PATH environment variable to your header dir.

Build with CUDA

Please check that both CUDA 10.x and cuDNN 7.x are installed.

darknet reads CUDA_PATH environment variable (which defaults to /opt/cuda if not set) and assumes it can find cuda libraries at ${CUDA_PATH}/lib64.

sh export CUDA_PATH=/usr/local/cuda-10.1 cargo build --features enable-cuda

You can also set CUDA_ARCHITECTURES which is passed to libdarknet's cmake. It defaults to Auto, which auto-detects GPU architecture based on card present in the system during build.

License

MIT license.

Credits

Huge thanks to jerry73204