Charlie839242 / Deploy-yolo-fastest-tflite-on-raspberryLinks
This project deploys a yolo fastest model in the form of tflite on raspberry 3b+. The model is from another repository of mine called -Trash-Classification-Car
☆19Updated 3 years ago
Alternatives and similar repositories for Deploy-yolo-fastest-tflite-on-raspberry
Users that are interested in Deploy-yolo-fastest-tflite-on-raspberry are comparing it to the libraries listed below
Sorting:
- 利用realsense深度相机实现yolov5目标检测的同时测出距离☆118Updated 3 years ago
- YoloV5模型简化部署， 方便在OpenCV里面调用。☆35Updated 3 years ago
- 使用realsense d435i相机，基于pytorch实现yolov5目标检测，返回检测目标相机坐标系下的位置信息。☆209Updated 2 years ago
- yolo-fastest-xl based on opencv DNN using onnx☆10Updated 4 years ago
- ☆18Updated 2 years ago
- using yolov5 and realsense D435i☆237Updated 3 years ago
- ☆120Updated 2 years ago
- 这是一个基于yolo-fastest模型的小车，主控是art-pi开发板，使用了rt thread操作系统。该小车能够识别特定种类的垃圾，并使用机械臂将其拾取并放置在垃圾筐内。☆13Updated 3 years ago
- Auto-labelimg based on YOLOv5-5.0 & YOLOv5-Lite☆81Updated 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.☆153Updated 11 months ago
- 这里是在ros下，使用gazebo搭建小车，并且在小车上安装摄像头的仿真，摄像头采集到的视频图像传递给darknet_ros中的yolo，yolo处理的到检测目标。☆75Updated 4 years ago
- 基于全局注意力的改进YOLOv7-AC的水下场景目标检测系统☆13Updated last year
- ☆23Updated 3 years ago
- Real-time object detection with ROS, based on YOLOv5 and PyTorch (基于 YOLOv5的ROS实时对象检测)☆140Updated last year
- 16th National College Student’s Intelligent Car Competition Code 第十六届智能汽车竞赛讯飞智慧餐厅代码☆22Updated 2 years ago
- 使用Realsense D435i实现机器人目标跟随☆19Updated 10 months ago
- 本仓库包含了完整的深度学习应用开发流程，以经典的手写字符识别为例，基于LeNet网络构建。推理部分使用torch、onnxruntime以及openvino框架💖☆17Updated last year
- ☆51Updated 3 years ago
- Algorithm based on Yolo v5 to detect the front vehicles' distance☆54Updated last year
- 用matlab标定摄像机以后，用python在标定平面内建立世界坐标系并测距☆9Updated 4 years ago
- This is a C++ code about yolov5 TensorRT☆14Updated 2 years ago
- 结合YOLOv5对Intel_Realsense_D435i 进行开发，测量物体之间的三维距离☆17Updated 2 years ago
- 使用OpenCV部署Yolo-FastestV2，包含C++和Python两种版本的程序☆113Updated 3 years ago
- Ultralytics for jetson nano - python 3.6☆16Updated 10 months ago
- 基于地面假设的单目测距，核心代码文件☆50Updated 3 years ago
- jetson nano 部署 yolov5+TensorRT+Deepstream☆52Updated 2 years ago
- realsense+yolov5+deepsense D435i☆17Updated 2 months ago
- 基于Yolov4的行人检测、行人距离估计、多目标跟踪系统☆63Updated 3 years ago
- 用opencv的dnn模块实现Yolo-Fastest的目标检测☆51Updated 4 years ago
- 本项目可以检测人是否佩戴口罩，若佩戴则输出绿框，未佩戴则输出红框; 本项目基于yolov5，部署通过TensorRT加速，帧率可达200FPS☆43Updated 3 years ago