first commit

IntroToPyCV.py

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+import numpy as np
+import cv2
+
+detector= cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+cap = cv2.VideoCapture(0)
+
+while(True):
+    ret, img = cap.read()
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    faces = detector.detectMultiScale(gray, 1.3, 5)
+    for (x,y,w,h) in faces:
+        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2);
+
+    cv2.imshow('frame',img);
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+cap.release()
+cv2.destroyAllWindows()

README.md

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+# face-recognition

datasetCreator.py

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+import cv2
+import sqlite3
+
+cam = cv2.VideoCapture(0)
+detector=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+def insertOrUpdate(Id,Name):
+    conn=sqlite3.connect("FaceBase.db")
+    cmd="SELECT * FROM People WHERE ID="+str(Id)
+    cursor=conn.execute(cmd)
+
+    isRecordExist=0
+
+    for row in cursor:
+        isRecordExist=1
+    if(isRecordExist==1):
+        cmd="UPDATE People SET Name="+str(Name)+" WHERE ID="+str(Id)
+    else:
+        cmd="INSERT INTO People(ID,Name) Values("+str(Id)+","+str(Name)+")"
+
+    conn.execute(cmd)
+    conn.commit()
+    conn.close()
+
+
+Id=raw_input('enter your id : ')
+name=raw_input('Enter your name : ')
+insertOrUpdate(Id,name)
+sampleNum=0
+while(True):
+    ret, img = cam.read()
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    faces = detector.detectMultiScale(gray, 1.3, 5)
+    for (x,y,w,h) in faces:
+        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
+
+        #incrementing sample number 
+        sampleNum=sampleNum+1
+        #saving the captured face in the dataset folder
+        cv2.imwrite("dataSet/User."+Id +'.'+ str(sampleNum) + ".jpg", gray[y:y+h,x:x+w])
+
+        cv2.imshow('frame',img)
+    #wait for 100 miliseconds 
+    if cv2.waitKey(100) & 0xFF == ord('q'):
+        break
+    # break if the sample number is morethan 20
+    elif sampleNum>20:
+        break
+cam.release()
+cv2.destroyAllWindows()

detector.py

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+import cv2
+import numpy as np
+from PIL import Image
+import pickle
+import sqlite3
+
+
+recognizer = cv2.createLBPHFaceRecognizer()
+recognizer.load('trainner/trainner.yml')
+cascadePath = "haarcascade_frontalface_default.xml"
+faceCascade = cv2.CascadeClassifier(cascadePath);
+path='dataSet'
+def getProfile(id):
+    conn=sqlite3.connect("FaceBase.db")
+    cmd="SELECT * FROM People WHERE ID="+str(Id)
+    cursor=conn.execute(cmd)
+    profile=None
+    for row in cursor:
+        profile=row
+    conn.close()
+    return profile
+
+
+cam = cv2.VideoCapture(0)
+font = cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 1, 1)
+while True:
+    ret, im =cam.read()
+    gray=cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
+    faces=faceCascade.detectMultiScale(gray, 1.2,5)
+    for(x,y,w,h) in faces:
+        cv2.rectangle(im,(x,y),(x+w,y+h),(0,225,0),2)
+        Id, conf = recognizer.predict(gray[y:y+h,x:x+w])
+        profile=getProfile(id)
+        if(profile!=None):
+            cv2.cv.PutText(cv2.cv.fromarray(im),str(profile[1]), (x,y+h+30),font, (0,225,0));
+            cv2.cv.PutText(cv2.cv.fromarray(im),str(profile[2]), (x,y+h+60),font, (0,225,0));
+            cv2.cv.PutText(cv2.cv.fromarray(im),str(profile[3]), (x,y+h+90),font, (0,225,0));
+
+
+
+
+    cv2.imshow('im',im); 
+    if cv2.waitKey(10) ==ord('q'):
+        break
+cam.release()
+cv2.destroyAllWindows()