Nose Mask Checker 😷

A COVID-19 nose mask detector built with OpenCV, Keras/TensorFlow, and Deep Learning.

Trained by fine-tuning the MobileNet V2 architecture, a highly efficient architecture that can be applied to embedded devices with limited computational capacity (eg. Raspberry Pi, NVIDIA Jetson Nano, Google Coral ...).

Installation 📦

1. Clone the repository

   $ git clone https://github.com/FredDoe/nose-mask-checker.git
   $ cd nose-mask-checker

2. Create virtual environment and install dependencies

python -m venv venv

source venv/Scripts/activate

pip install -r requirements.txt

Running the Application 💻

• To build the mask detector model, open up a shell and issue the following command:

python mask_detector_trainer.py --dataset dataset

• Implementing the COVID-19 nose mask checker for images with OpenCV

python detect_mask_image.py --image test_images/test_01.jpeg

• Implementing the COVID-19 nose mask checker for video stream with OpenCV

python detect_mask_video.py

Training Evaluation

• COVID-19 noee mask checker training accuracy/loss curves demonstrate high accuracy and little signs of overfitting the data:sweat_smile:.

Demonstration 🎥

• Mask detection using the COVID-19 nose mask checker:mask:

References 📖

• Prajna's GitHub repository
• MobileNet V2 architecture
• ImageNet

License 🔑

MIT © Godfred Doe