Example C++ Zenoh Flow Operator with OpenCV

Zenoh Flow provides a Zenoh-based dataflow programming framework for computations that span from the cloud to the device.

⚠️ This software is still in alpha status and should not be used in production. Breaking changes are likely to happen and the API is not stable.

---

Description

⚠️ This example works only on Linux and it require OpenCV with CUDA enabled to be installed, please follow the instruction on this gits to install it.

⚠️ This example works only on Linux and it require a CUDA capable NVIDIA GPU, as well as NVIDIA CUDA and CuDNN to be installed, please follow CUDA instructions and CuDNN instructions.

⚠️ This examples uses a JSON library for parsing the configuration, it can be found Here

Compiling

Requirements

• Rust: see the installation page

• cxxbridge

  cargo install cxxbridge-cmd

Generating the shared library

Manually

On Unix-based machines.

mkdir build && cd build
cmake ..
make

This will:

1. "patch" the header file include/wrapper.hpp,
2. compile the Rust code located under the vendor/wrapper folder and generate a static library libwrapper.a,
3. compile the C++ wrapper code,
4. compile the operator,
5. link everything together producing build/libcxx_operator.so.

The libcxx_operator library can then be loaded by Zenoh Flow!

Single command:

make fresh

The libopencv_dectect_op library can then be loaded by Zenoh Flow!