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TensorRT

Edge deployment suite for RTUAV-YOLO frequency-attention drone detector (Zhang et al.). Trained on Seraphim dataset (95.63% mAP50, 0.78M params). Features NVIDIA TensorRT (445+ FPS), Apple CoreML ANE (328+ FPS), static ONNX, FastAPI, & Docker.

Real-time YOLOv7/YOLOv7‑Tiny object detection on low‑powered Jetson Orin Nano using TensorRT and a multi‑threaded ROS 1 pipeline for edge robotics, drone monitoring.

Jetnet is a blazing fast TensorRT implementation in C++ of YOLOv3, YOLOV3-tiny and YOLOv2