Deploying Face Detection Streamlit App on Heroku in 30 minutes
In this video, we will be making a face detection Streamlit app, using the Haarcascade classifiers which is built into cv2 (opencv-python) and then deploy it on Heroku.
Some useful links can be found below:
► Git repository of this project (Source codes and steps to follow etc)
https://github.com/Blues1998/Face-Det...
► Python3 install
https://www.python.org/
► Heroku CLI download (For Heroku login/create to work)
https://devcenter.heroku.com/articles...
► Git download (For git add ./ commit to work)
https://git-scm.com/downloads
► Streamlit install
https://pypi.org/project/streamlit/
(or just run this in your terminal/command prompt: pip install streamlit)
► Open cv install
https://pypi.org/project/opencv-python/
(or just run this in your terminal/command prompt: pip install opencv-python)