https://graysongilbert.me/tags/yolov5/Recent content in YOLOv5 on Grayson Gilberthttps://graysongilbert.me/website-preview.jpeghttps://graysongilbert.me/website-preview.jpegHugoen-usSat, 18 Oct 2025 00:00:00 +0000https://graysongilbert.me/projects/monocular-perception-and-tracking/Sat, 18 Oct 2025 00:00:00 +0000https://graysongilbert.me/projects/monocular-perception-and-tracking/Engineered a production-grade C++ monocular perception library for ACME Robotics fusing YOLOv5 2D object detection with the ‘Depth Anything’ foundation model. Delivers real-time 3D human obstacle detection and metric spatial localization from a single RGB camera stream, supported by a comprehensive CMake, CTest, Cppcheck, and Doxygen CI/CD suite.