[Python] Create your first CLI app with Facial Expression Recognition
Step by step example to run Mojo Facial Expression API for CLI application.
In this tutorial, we will go through the process of building a command line interface app and mostly focusing on plugging the facial expression recognition API and print the result.
Open Source Tutorial : available on GitHub
You can find all the source code and documentation on GitHub
Install the library
Mojo Facial Expression Python API is available on pypi.org
pip install mojo-perception
You can update mojo-perception using pip command :
pip install --upgrade mojo-perception
Clone the project
In your work directory, clone the project :
git clone https://github.com/hoomano/mojo-perception-python.git
Get a fresh API token
Mojo Facial Expression API is accessible through Authorization token.
If you don't have an account yet
👉 Create your developer account, and get access to a 14-days free trial : https://hoomano.com/free-facial-expression-recognition
After registering, you'll receive your API Key. We'll need it right away.
Adjust code example
"API_KEY" in the following code section
[...] // Replace with your <API_KEY> mojo_perception = MojoPerceptionAPI("<API_KEY>") [...]
Run enjoy the example
🎉 You're done.
Run the example, and watch the "Attention" value print in the console. Try looking away, and you will see the prediction change accordingly
Customize the example
You can add callbacks on each emotions, add new emotions and enhance design to build your very own application.
1️⃣ If you face a
"JsonWebTokenError", maybe that's because of the expiration. You can try to increase the user token duration to match your need. Default value of 360 seconds might be too short.
2️⃣ If you have some python version issues, check your python version. Minimum version is
Check the usage of your API Key
Open the Mojo Facial Expression API Backoffice to check your consumption, and manage your account.