SVM facemask classifier
Pretrained Model used: Keras-facenet model () This model is used to detect the faces in a image and create a embedding vector of the faces which would be passed to a SVM classifier. The embedding vector is of dimension 512.
Download the SVM pretrained model https://github.com/Baskar-t/face-mask-classifier/tree/main/models
Class mask_predictor
image - path of the image file to predict the mask
pretrained path of the SVM model
def pred_mask(image,svm_model_path) ...... return img, box_list, label_list, proba_list
img - image vector
box list - list of image box of faces
label_list - list of labels for the predicted face images (Mask , No Mask)
proba_list - list of probability of predicted labels
Usage:
