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*[Draw Face Attributes C++ Sample](./cpp/draw_face_attributes/README.md) - constructs pipeline and sets "C" callback to access frame metadata and visualize inference results
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3. Python samples
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*[Draw Face Attributes Python Sample](./python/draw_face_attributes/README.md) - constructs pipeline and sets Python callback to access frame metadata and visualize inference results
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*[Open Close Valve Sample](./python/open_close_valve/README.md) - constructs pipeline with two sinks. On of them has valve element, which is managed based object detection result and opened/closed by callback.
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*[Open Close Valve Sample](./python/open_close_valve/README.md) - constructs pipeline with two sinks. On of them has valve element, which is managed based object detection result and opened/closed by callback. You can learn more about the valve element and its properties in the [GStreamer documentation](https://gstreamer.freedesktop.org/documentation/coreelements/valve.html?gi-language=python).
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4. Benchmark
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*[Benchmark Sample](./benchmark/README.md) - measures overall performance of single-channel or multi-channel video analytics pipelines
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