Face_recognition and Hand + Finger Recognition using OpenCV

In this repository helpful to understand some of the key part of the face recognition technique of Opencv. Accracy of this program is 86%. you can add and update the training data when you want at a time and train it and test it.

How to use it

simple steps i explain here below just perform it and you are successfully got the result

Steps to setup environment

1. you can download the opencv, numpy and pillow library of python

   ex : pip install [Library name] 

2. downlaoad or clone the zip file from here

   then after important step is that 
   1.go to your current working virtual environment where you are working now from there
    /lib/site-packages/cv2/data
    you can copy the whole folder  "data" and paste it in to the you current project(in this project)
   2.then change the file address in file "dataset.py" and "face_rec.py" in line 3
   face_detect=cv2.CascadeClassifier("this project address"/data/haarcascade_frontalface_default.xml")
   
   ex: this is look like this but in #your case its diffrent address of project 
    face_detect=cv2.CascadeClassifier('C:/Users/Bond/Desktop/faceRec/testFace/cascades/data/haarcascade_frontalface_default.xml')

how to run

3. after that you can run the dataset file for updating the database

make dataset by below command

  1. python dataset.py
    ---> it will require the any integer value to respective user to identify
    and this file caputre the images 21 images of perticular user.

then train it using below command

  2. python trainner.py
  ---> it will train the data model and make the yml and generate the trainingData.yml for testing perpose

now its time to recognize of face

  3. python face_rec.py
  ---> this file will be responsible to detact face based on the training data 
  ---> if its find it the match data then it will print the user id on prompt and if not the it print "unknown"