Live_FaceRecognition

Overview

learningrecognizer ---> package where all learning Algo related things will be there

• preprocessing ---> Detection and getting encodings data file

    -datafiles ---> Encodings File got generated after preprocessing
    -orl_faces ---> Training and Testing images
    -FaceDetector.py ---> Starting point for the detection. It does face_detection, pose_Prediction and 
                          calls the extraction method for encodings.
    -ImageClass.py ---> Used to encapsulate all the images stuff at one place
  

• encodings.py ---> Extracts encodings for each face detected

• learningSVM.py ---> learns SVM from the generated encodings

evaluationalgo

• evaluation.py ---> When a new image is given as input this will classify using generated SVM model

models ---> trained(shape_predictor, resnet), generated(SVM) models used in the proj ​

Order of Execution

1)FaceDetector.py - Creates the data file(ListOfEncodings.csv)

2)learningSVM.py - Uses Data file for Training SVM

3)evaluation.py - Uses generated SVM model and classifies the given image(Non-Live part)

4)liveRecognising.py - Live recognition of faces through laptop camera