DetectNow.ai : YoloV5 and DeepSort Tracker Streamlit Dashboard

🔑 Features

1. Choose input source - Local, RTSP or Webcam
2. Input class threshold
3. Set FPS drop warning threshold
4. Option to save inference video
5. Input class confidence for drift detection
6. Option to save poor performing frames
7. Display objects in current frame
8. Display total detected objects so far
9. Display System stats - Ram, CPU and GPU usage
10. Display poor performing class
11. Display minimum and maximum FPS recorded during inference

💫 How to use?

1. Clone this repo
2. Install all the dependencies
3. Run -> streamlit run app.py

🚀 New Updates!

1. Fixed bug in upsampling.py [YoloV5] for cuda 11.5
2. Added New Requirement: TorchCUDA 11.5

❤️ Acknowledgement

Sahil Chachra