Tang-JingWei / EasyRun-jetson-nano-yolov5Links
本项目旨在方便使用者在Jetson nano上迅速部署YOLOv5模型实现检测任务的开源项目。
☆13Updated last year
Alternatives and similar repositories for EasyRun-jetson-nano-yolov5
Users that are interested in EasyRun-jetson-nano-yolov5 are comparing it to the libraries listed below
Sorting:
- 基于yolo5和ros小车的目标跟随系统☆41Updated last year
- 无☆28Updated 2 years ago
- 智能车航天智慧物流创意组预选赛☆37Updated 3 years ago
- ☆44Updated 3 months ago
- A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。☆645Updated last year
- ☆175Updated last week
- 无人机自主飞行——PX4☆26Updated last year
- 南京航空航天大学 长空御风 RoboMatser2022雷达站☆70Updated 2 years ago
- ☆68Updated 2 weeks ago
- 使用Realsense D435i实现机器人目标跟随☆19Updated last year
- The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and…☆376Updated last month
- A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。☆329Updated 2 years ago
- Ultra fast detection models for robomaster☆64Updated 2 years ago
- https://github.com/amov-lab/SpireCV☆182Updated 10 months ago
- YOLOv8_RK3588_object_detect☆84Updated 2 weeks ago
- Robomaster比赛数据集☆26Updated 2 years ago
- 2023年西交利物浦大学动云科技GMaster战队yolo 装甲板四点模型,能量机关五点模型,区域赛视觉识别板目标检测☆98Updated 2 years ago
- Robomaster 基于yoloface和MobileNet修改的四点模型☆48Updated 2 years ago
- WildWolf Team RoboMaster-2021 Visual & Algorithm Group Code Framework☆39Updated 3 years ago
- yolov5模型(.pt)在RK3588(S)上的部署(实时摄像头检测)☆58Updated 2 years ago
- yoloface-50k的可部署模型☆131Updated 3 years ago
- 上海交通大学云汉交龙战队21赛季雷达站程序开源☆124Updated last year
- 沈阳航空航天大学T-UP战队2022赛季步兵视觉识别程序☆135Updated 2 years ago
- 基于YOLOV5 的ROS2功能包,可以快速完成物体识别与位姿发布。 A ROS2 package based on YOLOV5 that enables fast object recognition and pose publishing.☆164Updated last year
- RMUC2022赛季 IRobot战队步兵视觉完整代码☆35Updated 2 years ago
- 利用realsense深度相机实现yolov5目标检测的同时测出距离☆121Updated 3 years ago
- 使用卡尔曼滤波进行图像处理中的多目标跟踪,其中使用最大权值匹配进行数据关联☆302Updated 3 years ago
- 本项目基于 Intel RealSense D455 深度相机和 YOLOv11 模型,实现了对人体目标的检测和识别,能够实时检测人体目标并进行多目标跟踪,同时判断目标是真人还是照片,输出真人目标的距离、速度和姿态。☆25Updated 8 months ago
- SJTU-AuTop☆88Updated 4 years ago
- RK3588 AI本地部署☆48Updated 4 months ago