Face Mask Detection with Faster R-CNN Network

This is the final project of the Vision Measurement Course in SJTU.
This project implements Faster R-CNN to detect the face area and classify whether the people wear the face mask.

Table of Contents

• General Info
• Screenshots
• Setup
• Dataset
• Train
• Test
• Contact

General Information

This project implements pretrained Faster R-CNN to detect the face area and classify whether the people wear the face mask.

Screenshots

Setup

This code has been tested on win11, Python 3.6 and the following libraries：

matplotlib==3.3.4
numpy==1.19.2
pandas==1.1.5
Pillow==9.2.0
requests==2.26.0
scikit_learn==1.1.1
torch==1.9.0
torchvision==0.10.0

Please install related libraries before running this code:

pip install -r requirements.txt

Dataset

The face mask can be download in Kaggle:

Face Mask Detection

Train

To train the model, run the following file:

face-mask-detection-faster-r-cnn-pytorch.py

Test

To test the model, run the following file:

map_test.py