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YOLOv3-tiny with OpenVINO and OpenCV in C++\n\n## Build\n\n```sh\nchmod +x build_release.sh\n./build_release.sh\n```\n\nOutput path is `build/yolov3-tiny-openvino`\n\n## Run\n\nDownload onnx model from here https://docs.openvino.ai/2022.3/omz_models_model_yolo_v3_tiny_onnx.html\n\n```sh\ncd build \u0026\u0026 ./yolov3-tiny-openvino \u003cpath_to_model_in_onnx_format\u003e \u003cpath_to_input_image\u003e [compile_target]\n```\n\n## Performance\n\nLenovo ThinkPad x230 8GB, Debian 12, 6.1.0-23-amd64:\n\n- Detection: 0.32s\n\nMacbook Air M2 16GB, macOS 14.6.1:\n\n- Detection: 0.15s\n\n### Useful resources\n\n- https://docs.openvino.ai/2024/learn-openvino/openvino-samples/hello-nv12-input-classification.html\n- https://docs.openvino.ai/2022.3/omz_models_model_yolo_v3_tiny_onnx.html\n- https://docs.opencv.org/4.x/d3/d63/classcv_1_1Mat.html\n- https://docs.openvino.ai/2024/api/c_cpp_api/group__ov__runtime__cpp__api.html#_CPPv4N2ov6TensorE\n- https://docs.openvino.ai/2024/openvino-workflow/running-inference/integrate-openvino-with-your-application.html\n- https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/yolo-v3-tiny-onnx/README.md\n\n\n## Cite\nIf you use this software in your research, please use the following citation:\n\n```bibtex\n@software{Maczan_yolov3tinyopenvino_2024,\nauthor = {Maczan, Jędrzej Paweł},\ntitle = {{yolov3-tiny-openvino - High performance human detector}},\nurl = {https://github.com/jmaczan/yolov3-tiny-openvino},\nyear = {2024},\npublisher = {GitHub}\n}\n```\n\n\n### License\n\nGPL-3.0 license\n\nJędrzej Maczan, 2024\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmaczan%2Fyolov3-tiny-openvino","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmaczan%2Fyolov3-tiny-openvino","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmaczan%2Fyolov3-tiny-openvino/lists"}