Prototype of an intelligent safety system for detecting driver drowsiness
-
Updated
Jul 4, 2024 - C++
Prototype of an intelligent safety system for detecting driver drowsiness
Learn how to use Onnxruntime and OpenCV by building application using Yolov10
YoloV10 NPU for the RK3566/68/88
YoloV10 for a bare Raspberry Pi 4 or 5
YOLOv10 C++ implementation using OpenVINO for efficient and accurate real-time object detection.
Implementation of yolo v10 in c++ std 17 over opencv and onnxruntime
基于TensorRT的C++高性能推理库,Yolov10, YoloPv2,Yolov5/7/X/8,RT-DETR,单目标跟踪OSTrack、LightTrack。
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
🚀 TensorRT-YOLO: Supports YOLOv3, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, and PP-YOLOE using TensorRT acceleration with EfficientNMS, CUDA Kernels and CUDA Graphs!
Add a description, image, and links to the yolov10 topic page so that developers can more easily learn about it.
To associate your repository with the yolov10 topic, visit your repo's landing page and select "manage topics."