This repository contains templates for creating files to deploy your Computer Vision models on the web using streamlit and streamlit-webrtc.
Clone the repository and install the requirements using the following command:
pip install -r requirements.txt
Then choose whichever file that suits your project and run the sreamilt server by running:
streamlit run <FILE_NAME>
If you want to increase the default upload size use the following command
streamlit run <FILE_NAME> --server.maxUploadSize=1028
# maxUploadSize is in mbs
- Streamlit - The web framework
- streamlit-webrtc - The web framework for Capturing Videos
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.
- Atharva Gundawar - Initial work - Github handle
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details
- Object detection Example : https://github.com/robmarkcole/object-detection-app.
- Streamlit Webrtc code snippets : https://github.com/whitphx/streamlit-webrtc-example