Face Mask Detection Using DNN and TensorFlow with Trained Model With Low Computational power required for Image Processing,Object Detection and Computer Vision
This project is based on face mask detection it provides five depths of pytorch, tensorflow, caffe, keras, mxnet Learn the forward inference of the framework, detect faces and determine whether a mask is worn. In this project, the dnn module in opencv is used to do deep learning forward inference,In this project, only four libraries, opencv, numpy, PIL, and argparse, are needed to complete the deep learning task of face mask detection, and no additional deep learning framework is required.
$ git clone AbhiGandhi/FaceMaskDetection
$ pip install -requirements
on image：
python3 MaskDetector.py --img-path /path/to/your/img
on video：
python3 MaskDetector.py --img-mode 0 --video-path /path/to/video
# If you want to run with camera video, set video_path to be 0