Yolov8 Real-time Inference using Streamlit

A web interface for real-time yolo inference using streamlit. It supports CPU and GPU inference, supports both images and videos and uploading your own custom models.

Features

• Supports uploading model files (<200MB) and downloading models from URL (any size)
• Supports videos.

How to run

After cloning the repo:

1. Install requirements
   • pip install -r requirements.txt
2. Add sample images to data/sample_images
3. Add sample video to data/sample_videos and call it sample.mp4 or change name in the code.
4. Add the model file to models/ and change cfg_model_path to its path.

git clone https://github.com/Wolfman1219/yolo_with_streamlit.git
cd yolo_with_streamlit
streamlit run app.py

References

https://discuss.streamlit.io/t/deploy-yolov5-object-detection-on-streamlit/27675