feat: rewrite project in C++ [closes #7] - #8
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Port the ZeroMQ video-analytics pipeline (cameras -> broker -> workers -> gui) from Python to C++17, preserving the architecture and wire protocol. Detection now runs YOLOv8 ONNX models through OpenCV's DNN module; PSNR and the meanframe tool are reimplemented with OpenCV. Builds with CMake. Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
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Description
Rewrites the video-analytics project from Python to C++17 as requested in #7, keeping the same
cameras -> broker -> workers -> guiarchitecture and ZeroMQ wire protocol. Detection runs YOLOv8 ONNX models through OpenCV's DNN module (export.pt->.onnxonce with Ultralytics); PSNR and the meanframe tool are reimplemented with OpenCV. A singlevideoanalyticsbinary runs the full pipeline or any individual component. Built with CMake; verified to compile against OpenCV 4, libzmq/cppzmq and nlohmann/json.Release Note
The project is now a C++17 application built with CMake; YOLO models must be provided in ONNX format.
Test Plan
cmake .. && make -jbuilds thevideoanalyticsbinary./build/videoanalytics psnr <video>produces a_meanframe.jpgMade by Open SWE