Mask Detection

This project uses Transfer Learning to train a Model which classifies with_mask, without_mask and mask_weared_incorrecly. The Mask Detection Dataset from kaggle is used to train the model. The Models used in this projects is MobilenetV2. Accuracy of Model is 95.27%.

How to run?

You need python installed on your system. You can download and install it from here. After installing python, follow these steps:

On Windows:

• Open the cmd in the working dictionary.
• Type python -m venv venv to create a vitual environment.
• Type call venv\Scripts\activate.bat to activate the virtual environment.
• Type pip install -r requirements.txt to install all the required dependencies.
• Type jupyter-lab to run the jupyter-server.

On Mac OS/Linux:

• Open the terminal in the working dictionary.
• Type python3 -m venv venv to create a vitual environment.
• Type source ./venv/bin/activate to activate the virtual environment.
• Type pip3 install -r requirements.txt to install all the required dependencies.
• Type jupyter-lab to run the jupyter-server.

How to Predict?

Follow the First 4 steps from How to run? section. After that, use python Predict.py [.../path/to/img] to predict the images.

How to Predict from camera?

Follow the First 4 steps from How to run? section. After that, use python Predict_live.py to predict the images.