Brain Tumor Detector Introduction

This is an streamlit app of brain tumor detector that can automatically detect brain tumor of image from MRI machine.

Local development

1. Open terminal and cd to this directory
2. Create python environment python -m venv .\
3. Activate environment venv\scripts\activate
4. Install dependencies pip install tensorflow streamlit opencv-python-headless imutils pipreqs
5. Start streamlit streamlit run tumor_detector_app.py

Deploy to streamlit

1. Open terminal and cd to this directory
2. Create python environment python -m venv .\ if not
3. Activate environment venv\scripts\activate
4. Install dependencies pip install tensorflow streamlit opencv-python imutils pipreqs
5. Make sure streamlit app is working streamlit run tumor_detector_app.py
6. Ouput requirements.txt pipreqs .\
7. Modify requirements.txt, remove any packages except following:
   • imutils
   • opencv_python_headless
   • tensorflow

Note:

1. We must use opencv-python-headless package instead of opencv-python when deploy to streamlit otherwise an error will appear when app start Importerror: libgl.so.1: cannot open shared object file: no such file or directory opencv error. Same error was discussed here
2. Python 3.9 is recommend