semvec/pypi-packages huggingface dataset:
face-mask-classifier 1.4
Detect face mask in an Image
License: MIT
Keywords: face-mask-classifier,SVM-classifier

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:

## mask_predictor.pred_mask(image path, path_svm_model)
FALL 1.8
A automated penetration testing tool
License: MIT
Keywords: FALL,Bug Bounty,pentesting,security,hacking

# What is FALL?

FALL is a automated penetration testing tool that makes your work easy by automating eight types of jobs like - Subdomain enumeration, LFI testing, Crawling, Port scanning and more.

# Why FALL?

1. FALL supports many options that will help you in penetration testing, In short - It is a ALL IN ONE tool.
2. Multithreaded - Multithreaded crawler and port scanner will make your work more fast.
3. FALL is user friendly and easy to use, You can use FALL by just setting the options number.
4. It auto saves the outputs in a file.