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C++ Object Detection with YOLOv5 involves implementing real-time and image object detection using the YOLOv5 model in the C++ programming language, enabling identification and localization of objects in images or video streams.
An easy-to-use implementation for performing inferencing with TwinLiteNet model using OpenCV DNN module. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation