Face Detection with OpenCV Streamlit Web App

• Streamlit App with OpenCV

How to Deploy on Heroku

• To deploy on heroku you will need the basic 3 requirements and a new requirement for the OpenCV
• This is due to the fact that opencv requires some dependencies that you need to install.

3 Basic Requirements

• Procfile
• setup.sh
• requirements.txt or pipfile

Requirements For OpenCV

• Buildpack

• To check if you have the buildpack installed you can use

heroku run bash
apt --help

• If it shows the help, that means you have the buildpack for apt installed
• If you do not have it you can use this command to install the buildpack

heroku buildpacks:add --index 1 https://github.com/heroku/heroku-buildpack-apt

• Aptfile

• You can then include a file called Aptfile which contains the basic dependences/copy and paste into Aptfile

libsm6
libxrender1
libfontconfig1
libice6

• NB: This is the same as installing with apt on a paid account

apt-get install libsm6 libxrender1 libfontconfig1 libice6

Deploying

• Then just like before you run after adding to your repository you can push to heroku to deploy by

git push heroku master

Home Page

Face Detection

Eyes Detection

Cartoonize Picture

Cannize Picture

By

• Sagnik Mitra
• Connect