The pipeline demonstrates another method for inference based decision making that also connects between different video streams. Our Multi-Person Multi-Camera Tracking reference application demonstrates person tracking across multiple streams using RE-ID tracking. This allows multiple networks to cooperate in the pipeline for reactive behavior. The pipeline demonstrates inference based decision making (Vehicle detection) for secondary inference tasks (License plate extraction). Our LPR reference application demonstrates the use of 3 networks, with a database. Pipelines for High-Resolution Processing Via Tiling Multi-stream Multi-Device Object Detection The pipeline is shown in the following diagram:Ĭascaded - Person Det & Single Person Pose Estimation This example pipeline is of the popular configuration where the first network is a detector which finds some Region-of-Interest (ROI) in the input image and the second network processes the cropped ROI (a face-detection-and-landmarking use case of this pipeline is shown at the top of this guide). The cascaded (serial) flow shows two networks running in series. The parallel networks pipeline is an simple extension of the single network pipeline and is shown in the following diagram: Object Detection Multiple Devices (Century)Įxamples of basic pipelines running two networks. The following table details the currently available examples.Ĭlassification with Python Postprocessing The diagram below shows the pipeline data-flow. Running application examples requires a direct connection to a monitor. TAPPAS comes with a rich set of pre-configured pipelines optimized for different common hosts. Cross compile - A guide for cross-compiling.Guide to writing your own Python postprocess element.Guide to writing your own C++ postprocess element.Framework architecture and elements documentation.* It is recommended to start your development journey by first installing the Hailo SW Suite Documentation Read more about Raspberry pi installation This version is compatible with HailoRT v4.13.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |