muziing / Traffic-Lights-ClassificationLinks
HSV色彩空间下的交通灯识别
☆19Updated last year
Alternatives and similar repositories for Traffic-Lights-Classification
Users that are interested in Traffic-Lights-Classification are comparing it to the libraries listed below
Sorting:
- rknn-3588部署yolov5,利用线程池实现npu推理加速;Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.☆67Updated 3 weeks ago
- 这是一个yolov5-v6.1-pytorch的源码,可以用于训练自己的模型。☆124Updated last year
- 基于地面假设的单目测距,核心代码文件☆50Updated 3 years ago
- 基于YOLOv5和PSPNet的实时目标检测和语义分割系统☆40Updated 3 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
- 在Jetson AGX Xavier上部署yolov8-seg检测分割模型(带自适应低光照补偿)☆49Updated 3 months ago
- 用OpenVINO对yolov8导出的onnx模型进行C++的推理, 任务包括图像分类, 目标识别和语义分割, 步骤包括图片前处理, 推理, NMS等☆64Updated last year
- 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。☆74Updated 4 years ago
- ☆30Updated 2 years ago
- 非常简单的yolov5应用,只需要opencv库即可,包括c++和python版本。支持对图片和视频进行检测和摄像头实时检测☆82Updated 2 years ago
- 基于yolov5的C++单目摄像头测距☆37Updated last year
- yolov5 seg fork from https://github.com/ultralytics/yolov5.☆70Updated 2 years ago
- ☆51Updated 3 years ago
- 💥一个专为视觉方向目标检测全流程的标注工具集,全称:Kill Object Detection Annotation Tools。☆75Updated 2 years ago
- based on the yolov8,provide pt-onnx-tensorrt transcode and infer code by c++☆59Updated 2 years ago
- ☆51Updated 2 years ago
- yolov11 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆54Updated 2 months ago
- ☆59Updated 2 years ago
- fish-kong/Yolov5-Instance-Seg-Tensorrt-CPP☆58Updated 2 years ago
- ☆56Updated last year
- License plate recognition☆71Updated 2 years ago
- pt-->wts-->engine☆145Updated 8 months ago
- The auxiliary tools help help developers deploy their models☆16Updated this week
- 使用深度学习的缺陷检测与小目标检测☆24Updated 4 years ago
- C++ inference of YOLOX/YOLOV5/YOLOV8/YOLOV9 for OpenVINO,Support float32、float16 and int8.☆64Updated last year
- 使用TensorRT加速YOLOv8-Seg,完整的后端框架,包括Http服务器,Mysql数据库,ffmpeg视频推流等。☆83Updated last year
- 1.相机模型标定(鱼眼相机,普通相机);2.立体相机标定与极线矫正;3.RGB(/灰度)相机与深度相机(tof)标定,数据融合;4.外参标定☆44Updated last year
- yolov8 瑞芯微 rknn 板端 C++部署,使用平台 rk3588,全网最简单、运行最快的部署方式。☆36Updated last year
- yolov8n 部署版,基于官方的导出onnx脚本导出onnx模型,在不同平台上进行部署测试,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆38Updated 2 years ago
- yolov8n 目标检测部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon),全网部署最简单、速度最快的部署方式。☆41Updated last year