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vehicle-distance-estimation-using-monocular-camera

vehicle-distance-estimation-using-monocular-cameras

The program utilizes the YOLOv3 algorithm to detect objects from 80 classes with high accuracy. It is capable of detecting multiple objects within a single frame, and can also count the number of cars detected in a frame while calculating the distance of each vehicle from the camera. Furthermore, it can capture an image of the detected object.

vio

最近我在学习vio相关的内容，这是一个记录我学习内容的仓库

vio_course

深蓝学院手写vio课程作业代码

wrs

Force controlled assembly process. In real and simulated environment. Using Universal Robots UR5, ROS, Gazebo.

xiaoqiang_track

track target using camera on xiaoqiang

yolo-object-detection-and-distance-measurement-with-zed-camera

if you have a zed camera you can easily find the distance of the objects you have detected

yolop

You Only Look Once for Panopitic Driving Perception.（MIR2022）

yolop-opencv-dnn

使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

yolov5-deepsort

yolov5-dnn-cpp-python

用opencv的dnn模块做yolov5目标检测，包含C++和Python两个版本的程序

yolov5-fire-detection

Training YOLOv5/YOLOv9 to detect fire in a video

yolov5-opencv-cpp-python

Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

yolov5-opencv-cpp-python-ros

Inference with YOLOv5, OpenCV 4.5.4 DNN, C++, ROS and Python

yolov5-opencv-pycpp-tensorrt

deploy yolov5 by Opencv and TensorRT in Python and CPP

yolov5-seg-opencv-onnxruntime-cpp

yolov5 segmentation with onnxruntime and opencv

yolov5-v6.1-opencv-onnxrun

分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l，yolov5n，yolov5x，yolov5s6，yolov5m6，yolov5l6，yolov5n6，yolov5x6的十种结构的yolov5-v6.1

yolov5_bytetrack_multithreading_tensorrt

Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT 进行推理加速

yolov5_distance_count

使用yolov5，双目摄像头进行测距

yolov5_distance_detect

yolov5_monocular_ranging

yolov5_ros

Real-time object detection with ROS, based on YOLOv5 and PyTorch (基于 YOLOv5的ROS实时对象检测)

yolov5_ros2

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.

yolov5_ros_conda

ROS使用YOLOv5 run YOLOv5 in ROS

yolov8_object_detection_counting_tracking_with_supervision_bytetrack

Object Detection, Counting and Tracking Using YoloV8 with Supervision ByteTrack and LineZone Counter.

yolov8_ros

yolov_ros2

基于 YOLOv5 的 ROS 2 封装，允许用户使用给定的模型文件和图像话题进行实时物体检测。

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

zed-sdk

⚡️The spatial perception framework for rapidly building smart robots and spaces

zed_cpu_ros

A simple zed camera driver which only use CPU and only publish left and right raw images and its camera info.