image-kernels-heroku

This is an app I built with streamlit, and the Open Source Computer Vision Library (OpenCV) in Python to display the effects of image kernels on uploaded images. I also included the option for a user to input their own custom kernel and observe its filtered effect on the image in real time.

Here is a link to the deployed app on Heroku.

PS: due to Heroku's dyno delay on loading deployed app, I have moved this app to be deployed on Streamlit Cloud Share.

Below is a snapshot for a demo of the app :

Running locally

Follow the instructions below to run this app locally.

Create a virtual environment (optional)

If you want to use a virtual environment, you can create one using the command below:

python3 -m venv ./venv

After creating the virtual environment, you need to activate it. Use the command below to do that:

python -m venv ./venv

If you need do deactivate the virtual environment, you can do that using the command below:

deactivate

Install requirements

To install requirements, run the command below:

pip install -r requirements.txt

Running the app

You can run the app using the command below:

streamlit run filter_app.py

Note that streamlit is installed as a CLI tool after you install requirements. If you created a virtual environment, Streamlit will be scoped to your current directory which means it won't be available globally on your machine.