https://github.com/CarlAreDHopen-eaton/YoloObjectDetection

Yolo Object Detection Application for RTSP streams
https://github.com/CarlAreDHopen-eaton/YoloObjectDetection

dotnet mldotnet onnx opencv rtsp yolo

Last synced: 16 days ago
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Yolo Object Detection Application for RTSP streams

• Host: GitHub
• URL: https://github.com/CarlAreDHopen-eaton/YoloObjectDetection
• Owner: CarlAreDHopen-eaton
• License: mit
• Created: 2022-07-06T10:57:45.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2022-10-17T22:29:00.000Z (over 2 years ago)
• Last Synced: 2024-08-03T01:26:00.239Z (9 months ago)
• Topics: dotnet, mldotnet, onnx, opencv, rtsp, yolo
• Language: C#
• Homepage:
• Size: 38.1 KB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-dotnet-machine-learning - CarlAreDHopen-eaton/YoloObjectDetection - eaton/YoloObjectDetection?style=social"/> : Yolo Object Detection Application for RTSP streams. (Uncategorized / Uncategorized)
• awesome-yolo-object-detection - CarlAreDHopen-eaton/YoloObjectDetection - eaton/YoloObjectDetection?style=social"/> : Yolo Object Detection Application for RTSP streams. (Other Versions of YOLO)
• awesome-yolo-object-detection - CarlAreDHopen-eaton/YoloObjectDetection - eaton/YoloObjectDetection?style=social"/> : Yolo Object Detection Application for RTSP streams. (Other Versions of YOLO)

README

        
# Yolo Object Detector

This project contains a .NET library and application to detect object in an RTSP video stream using a Yolo model, ML.NET and OpenCV.

This is a work in progress. 

- The Yolov4 implementation works 

- The YoloV2 implementation in incomplete and does not yet work

![image](https://user-images.githubusercontent.com/14876765/177539687-e8275690-a8a9-4bdc-bb9f-b33aed863cc4.png)

**NOTE**

Due to file size restrictions here in Github I have not included the ONNX models in the repo.

## Build and run

- Using VS 2022

- Clone the repo

- Download the Yolov4.onnx model

- Build the solution

- Copy the model to the build output folder of the application

- Set the rtsp url including logon credentials as run argument

- Run the application

# Tasks

- [ ] Application

  - [X] Initial app connect to rtsp

  - [ ] Propper parameter parsing

  - [ ] Add ui

- [ ] Library

  - [ ] Yolo support

    - [ ] Unify code for algoritms

    - [ ] Config for object clases 

  - [ ] Yolov4 support

    - [X] Initial prototype

  - [ ] TinyYolov2 support

    - [ ] Initial prototype

  - [ ] Other Yolo versions TBD