# yolov5_monocular_camera_ranging

**Repository Path**: long-xiaoze/yolov5_monocular_camera_ranging

## Basic Information

- **Project Name**: yolov5_monocular_camera_ranging
- **Description**: 作者@xiaolei00
本仓库是一个单目摄像头测距项目，物体检测框为yolov5。该项目处理实时视频。它只是直接向您显示一个视频，其中包含对象的类型、对象的置信度以及网络摄像机到对象的距离。

- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2022-02-09
- **Last Updated**: 2022-02-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# yolov5_monocular_camera_ranging
This repository is a project of monocular camera ranging, which object detection frame is yolov5. 
This project deal with real-time video. It just shows you a video directly which contains the type of object, the confidence of object and the distance from network camera to object. <br>
![result picture](https://github.com/xiaol-arch/yolov5_monocular_camera_ranging/blob/main/article_pic/02.jpg)
# yolov5
I just use the pretrained model of yolov5 directly.The detail of yolov5 is available here [YOLOv5 🚀 Vision AI ⭐](https://github.com/ultralytics/yolov5)   
The referenced project version is v5.0.The version of project does'nt matter. 
# quick start examples
## install
python>=3.6 and pytorch>= 1.7:   
`$ git clone https://github.com/xiaol-arch/yolov5_monocular_camera_ranging`<br>
`$ cd yolov5_monocular_camera_ranging`<br>
`$ pip install -r requirements.txt`   
## inference   
Runing following instruction, you can get a resultant video.<br>
This instruction is for video<br>
`$ python video.py`<br>
This instruction is for webcam<br>
`$ python distance.py`<br>
This intruction is for webcam which can track stuff<br>
`$ python track.py`
#  to do 
+ Modify issues of accuracy of ranging in program
+ Improve the README documentation
+ Add speed measurement to the program