Revert "Merge branch 'surya' into 'master'"

This reverts merge request !1

README.md

+# Logbook using Face Recognition
+

Train.py

+import os
+import cv2
+import numpy as np
+from PIL import Image
+
+#recognizer=cv2.createLBPHFaceRecognizer();
+recognizer=cv2.face.LBPHFaceRecognizer_create();
+path='dataSet'
+
+def getImagesWithID(path):
+    imagepaths=[os.path.join(path,f) for f in os.listdir(path)]
+    faces=[]
+    IDs=[]
+    for imagepath in imagepaths:
+        faceImg=Image.open(imagepath).convert('L');
+        faceNp=np.array(faceImg,'uint8')
+        ID=int(os.path.split(imagepath)[-1].split('.')[1])
+        faces.append(faceNp)
+        IDs.append(ID)
+        cv2.imshow("training",faceNp)
+        cv2.waitKey(10)
+    return np.array(IDs),faces
+
+IDs,faces=getImagesWithID(path)
+recognizer.train(faces,IDs)
+recognizer.save('recognizer/trainningData.yml')
+cv2.destroyAllWindows()
+

app.py

-from flask import Flask, render_template
-
-
-app = Flask(__name__)
-
-@app.route('/')
-def index(name=None):
-    return render_template('index.html',name=name)
-
-@app.route('/exec')
-def parse(name=None):
-    import face_recognize
-    print("done")
-    return render_template('index.html',name=name)
-
-@app.route('/exec2')
-def parse1(name=None):
-	import create_data
-	print("done")
-	return render_template('index.html',name=name)
-
-if __name__ == '__main__':
-    app.run()
-    app.debug = True
-    

app.yaml

-runtime: python27
-api_version: 1
-threadsafe: true
\ No newline at end of file

database

+import cv2
+import numpy as np
+import sqlite3
+
+faceDetect=cv2.CascadeClassifier('haarcascade_frontalface_default.xml');
+cam=cv2.VideoCapture(0);
+
+def insertOrUpdate(Id,Name,Age,Gen,CR):
+    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)
+        cmd2="UPDATE People SET Age="+str(Age)+"WHERE ID="+str(Id)
+        cmd3="UPDATE People SET Gender="+str(Gen)+"WHERE ID="+str(Id)
+        cmd4="UPDATE People SET CR="+str(CR)+"WHERE ID="+str(Id)
+    else:
+        cmd="INSERT INTO People(ID,Name,Age,Gender,CR) Values("+str(Id)+","+str(Name)+","+str(Age)+","+str(Gen)+","+str(CR)+")"
+        cmd2=""
+        cmd3=""
+        cmd4=""
+    conn.execute(cmd)
+    conn.execute(cmd2)
+    conn.execute(cmd3)
+    conn.execute(cmd4)
+    conn.commit()
+    conn.close()
+
+Id=raw_input('Enter User Id')
+name=raw_input('Enter User Name')
+age=raw_input('Enter User Age')
+gen=raw_input('Enter User Gender')
+cr=raw_input('Enter User Criminal Records')
+insertOrUpdate(Id,name,age,gen,cr)
+sampleNum=0
+while(True):
+    ret,img=cam.read();
+    gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+    faces=faceDetect.detectMultiScale(gray,1.3,5);
+    for(x,y,w,h) in faces:
+        sampleNum=sampleNum+1;
+        cv2.imwrite("dataSet/User."+str(Id)+"."+str(sampleNum)+".jpg",gray[y:y+h,x:x+w])
+        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
+        cv2.waitKey(100);
+    cv2.imshow("Face",img);
+    cv2.waitKey(1);
+    if(sampleNum>20):
+        break;
+cam.release()
+cv2.destroyAllWindows()

database.py

+import cv2
+import numpy as np
+import sqlite3
+
+faceDetect=cv2.CascadeClassifier('haarcascade_frontalface_default.xml');
+cam=cv2.VideoCapture(0);
+
+def insertOrUpdate(Id,Name,Dept,IDno):
+    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
+#Enter User University ID number 160040717         
+#Traceback (most recent call last):
+#  File "database.py", line 32, in m
+    if(isRecordExist==1):
+        cmd="UPDATE People SET name="+str(name)+"WHERE ID="+str(Id)
+        cmd2="UPDATE People SET Dept="+str(Dept)+"WHERE ID="+str(Id)
+	cmd3="UPDATE People SET IDno="+str(IDno)+"WHERE ID="+str(Id)
+    else:
+        cmd="INSERT INTO People(Id,Name,Dept,IDno) Values("+str(Id)+","+str(name)+","+str(Dept)+","+str(IDno)+")"
+        cmd2=""
+        cmd3=""
+        cmd4=""
+    conn.execute(cmd)
+    conn.execute(cmd2)
+    conn.execute(cmd3)
+    conn.execute(cmd4)
+    conn.commit()
+    conn.close()
+
+Id=raw_input('Enter User Id')
+name=raw_input('Enter User Name')
+Dept=raw_input('Enter User Department')
+IDno=raw_input('Enter User University ID number ')
+#insertOrUpdate(Id,name,Dept,IDno)
+sampleNum=0
+while(True):
+    ret,img=cam.read();
+    gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+    faces=faceDetect.detectMultiScale(gray,1.3,5);
+    for(x,y,w,h) in faces:
+        sampleNum=sampleNum+1;
+        cv2.imwrite("dataSet/User."+str(Id)+"."+str(sampleNum)+".jpg",gray[y:y+h,x:x+w])
+        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
+        cv2.waitKey(100);
+    cv2.imshow("Face",img);
+    cv2.waitKey(1);
+    if(sampleNum>20):
+        break;
+cam.release()
+cv2.destroyAllWindows()

identify.py

+import cognitive_face as CF
+from global_variables import personGroupId
+import os, urllib
+import sqlite3
+from openpyxl import Workbook, load_workbook
+from openpyxl.cell import get_column_letter, Cell, column_index_from_string
+import time
+
+
+#get current date
+currentDate = time.strftime("%d_%m_%y")
+wb = load_workbook(filename = "reports.xlsx")
+sheet = wb.get_sheet_by_name('Cse15')
+
+def getDateColumn():
+	for i in range(1, len(sheet.rows[0]) + 1):
+		col = get_column_letter(i)
+		if sheet.cell('%s%s'% (col,'1')).value == currentDate:
+			return col
+			
+			
+Key = '222bf86ba9634534a995d3eed09dc857'
+CF.Key.set(Key)
+
+connect = connect = sqlite3.connect("Face-DataBase")
+c = connect.cursor()
+
+attend = [0 for i in range(60)]	
+
+currentDir = os.path.dirname(os.path.abspath(__file__))
+directory = os.path.join(currentDir, 'Cropped_faces')
+for filename in os.listdir(directory):
+	if filename.endswith(".jpg"):
+		imgurl = urllib.pathname2url(os.path.join(directory, filename))
+		res = CF.face.detect(imgurl)
+		if len(res) != 1:
+			print("No face detected.")
+			continue
+			
+		faceIds = []
+		for face in res:
+			faceIds.append(face['faceId'])
+		res = CF.face.identify(faceIds, personGroupId)
+		print(filename)
+		print(res)
+		for face  in res:
+			if not face['candidates']:
+				print("Unknown")
+			else:
+				personId = face['candidates'][0]['personId']
+				c.execute("SELECT * FROM Students WHERE personID = ?", (personId,))
+				row = c.fetchone()
+				attend[int(row[0])] += 1
+				print(row[1] + " recognized")
+				#print row[1] + " recognized"
+
+		time.sleep(6)
+		
+for row in range(2, len(sheet.columns[0]) + 1):
+	rn = sheet.cell('A%s'% row).value
+	if rn is not None:
+		rn = rn[-2:]
+		if attend[int(rn)] != 0:
+			col = getDateColumn()
+			sheet['%s%s' % (col, str(row))] = 1
+
+wb.save(filename = "reports.xlsx")	 	
+#currentDir = os.path.dirname(os.path.abspath(__file__))
+#imgurl = urllib.pathname2url(os.path.join(currentDir, "1.jpg"))
+#res = CF.face.detect(imgurl)
+#faceIds = []
+#for face in res:
+ #   faceIds.append(face['faceId'])
+
+#res = CF.face.identify(faceIds,personGroupId)
+# for face in res:
+#     personName = CF.person.get(personGroupId, face['candidates']['personId'])
+#     print personName
+#print res

recog.py

+import cv2
+import numpy as np
+import sqlite3
+
+faceDetect=cv2.CascadeClassifier('haarcascade_frontalface_default.xml');
+cam=cv2.VideoCapture(0);
+#rec=cv2.createLBPHFaceRecognizer();
+rec=cv2.face.LBPHFaceRecognizer_create()
+#rec.read('recognizer/trainningData.yml')
+#face-trainner.yml
+rec.read('recognizer/face-trainner.yml')
+font=cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_COMPLEX,0.4,1,0,1)
+
+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
+
+while(True):
+    ret,img=cam.read();
+    gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+    faces=faceDetect.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)
+        id,conf=rec.predict(gray[y:y+h,x:x+w])
+        profile=getProfile(id)
+        if(profile!=None):
+            cv2.cv.PutText(cv2.cv.fromarray(img),"Name : "+str(profile[1]),(x,y+h+20),font,(0,255,0));
+            cv2.cv.PutText(cv2.cv.fromarray(img),"Dept : "+str(profile[2]),(x,y+h+45),font,(0,255,0));
+	    cv2.cv.PutText(cv2.cv.fromarray(img),"IDno : "+str(profile[3]),(x,y+h+65),font,(0,255,0));
+    cv2.imshow("Face",img);
+    if(cv2.waitKey(1)==ord('q')):
+        break;
+cam.release()
+cv2.destroyAllWindows()

spreadsheet.py

+from openpyxl import Workbook, load_workbook
+from openpyxl.cell import get_column_letter, Cell, column_index_from_string
+import time
+import os
+import sqlite3
+
+#database connection
+conn = sqlite3.connect('Face-DataBase')
+c = conn.cursor()
+
+#get current date
+currentDate = time.strftime("%d_%m_%y")
+
+#create a workbook and add a worksheet
+if(os.path.exists('./reports.xlsx')):
+    wb = load_workbook(filename = "reports.xlsx")
+    sheet = wb.get_sheet_by_name('Cse15')
+    # sheet[ord() + '1']
+    for col_index in range(1, 100):
+    	col = get_column_letter(col_index)
+    	if sheet.cell('%s%s' % (col,1)).value is None:
+    		col2 = get_column_letter(col_index - 1)
+    		# print sheet.cell('%s%s'% (col2, 1)).value
+    		if sheet.cell('%s%s' % (col2,1)).value != currentDate:
+    			sheet['%s%s' % (col,1)] = currentDate
+    		break
+
+    #saving the file
+    wb.save(filename = "reports.xlsx")
+    	
+else:
+    wb = Workbook()
+    dest_filename = 'reports.xlsx'
+    c.execute("SELECT * FROM Students ORDER BY Roll ASC")
+    
+    #creating worksheet and giving names to column
+    ws1 = wb.active
+    ws1.title = "Cse15"
+    ws1.append(('Roll Number', 'Name', currentDate))
+    ws1.append(('', '', ''))
+
+    #entering students information from database
+    while True:
+        a = c.fetchone()
+        if a == None:
+            break
+        else:
+            ws1.append((a[2], a[1]))
+
+    #saving the file
+    wb.save(filename = dest_filename)
+    
+