15 releases
| 0.4.0 | May 2, 2023 |
|---|---|
| 0.3.5 | Dec 16, 2022 |
| 0.3.2 | May 7, 2022 |
| 0.3.1 | Oct 25, 2021 |
| 0.1.2 | Mar 31, 2020 |
#981 in Machine learning
Used in darknet
3.5MB
106K
SLoC
Contains (Windows DLL, 185KB) pthreadGC2.dll, (Windows DLL, 83KB) pthreadVC2.dll, (static library, 94KB) libpthreadGC2.a, (static library, 30KB) pthreadVC2.lib
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 cuDNNenable-opencv: Enable OpenCV.enable-openmp: Enable OpenMP in darknet. Used for parallelization when running on the CPU. Enabled by default.runtime: Link to libdarknet dynamic library. For example,libdark.soon Linux.dylib: Build dynamic library instead of staticbuildtime-bindgen: Generate bindings from libdarknet headers.
Method 1: Download and build from source (default)
cargo build
You can optionally enable CUDA and OpenCV features. Please read Build with CUDA for more info.
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.
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.
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.
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 all contributors!