an internship project from i-Neuron(PW skill)
Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient.
This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed.
All the dependencies and required libraries are included in the file requirements.txt Run the following command in your Terminal/Command Prompt to install the libraries required
$ pip3 install -r requirements.txt
Clone the repo
$ git clone https://github.com/Shashank-i386/face_mask_wear_detection.git
Change your directory to the cloned repo
$ cd face_mask_detector
Face Mask Detector webapp using Tensorflow & Streamlit
command
$ streamlit run face_detec.py
Sample uploading a random image
After uploading image sucessfully
Click to start Processing
🎉 Hey! Here you Go
