yolov3-django-streaming

This project is to stream object detection (yolov3) with 2 cameras (2 switchable channels) on web browser using Django framework.

The project can be deployed on Ubuntu and Windows.

Watch final result: https://www.youtube.com/watch?v=SDnpNd7xRbE&t=10s

1. Steps to use

1. Download file "yolov3_coco.pb" from the link below and locate it in folder "yolov3_weight": (gotolink)

https://drive.google.com/drive/u/1/folders/1apB-yPIxxzC9D6_iAaQrXWuGpbWIK6Lp

2. Create your virtual environment and install required packages:

$ pip install -r requirements.txt

3. Run program:

$ python manage.py runserver

4. Open any web browser and navigate to URL (home page):

http://127.0.0.1:8000/index

2. What should happen then?

(don't worry, my face will not be on your screen)

• Camera 1:

• Camera 2:

3. Be careful

• The 2 camera ids in the source code are "0" and "2" (for my computer).
• You should change them for running on any other computers. Go to webcam/views.py then find and change "cam_id" parameter.

Acknowledgement

• The yolov3 implementation was borrowed from YunYang1994

Cite This Project

@article{tran2020yolostream,
  title={Object Detection Streaming and Data Management on Web Browser},
  author={Tran, Le-Anh},
  journal={Technical Report},
  year={2020}
}

Good luck.

Created on July 11, 2019.

Last update on July 22, 2021. (because I had received tons of emails for fixing this project, thanks)

Tran Le Anh (LA Tran)