Showing UNKNOWN to every TRACK IMAGE

[rusty3699]

i have trained images, still it shows unknown for every tracking of image. Please help

[Autodidact7999]

there is error in Trackimage Function .you have to change if condition. Edited Code given below :

[Autodidact7999]

def TrackImages():
     recognizer = cv2.face.LBPHFaceRecognizer_create()#cv2.createLBPHFaceRecognizer()
     recognizer.read("TrainingImageLabel\Trainner.yml")
     harcascadePath = "haarcascade_frontalface_default.xml"
     faceCascade = cv2.CascadeClassifier(harcascadePath);    
     df=pd.read_csv("StudentDetails\StudentDetails.csv")
     cam = cv2.VideoCapture(0)
     font = cv2.FONT_HERSHEY_SIMPLEX        
     col_names =  ['Id','Name','Date','Time']
     attendance = pd.DataFrame(columns = col_names)    
     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),(225,0,0),2)
             Id, conf = recognizer.predict(gray[y:y+h,x:x+w])
             print(conf)
             if(conf > 60):
                 ts = time.time()      
                 date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
                 timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
                 aa=df.loc[df['Id'] == Id]['Name'].values
                 tt=str(Id)+"-"+aa
                 attendance.loc[len(attendance)] = [Id,aa,date,timeStamp]

             else:
                 Id='Unknown'                
                 tt=str(Id)  
             if(conf < 50):
                 noOfFile=len(os.listdir("ImagesUnknown"))+1
                 cv2.imwrite("ImagesUnknown\Image"+str(noOfFile) + ".jpg", im[y:y+h,x:x+w])            
             cv2.putText(im,str(tt),(x,y+h), font, 1,(0,0,0),2)
         attendance=attendance.drop_duplicates(subset=['Id'],keep='first')    
         cv2.imshow('im',im) 
         if (cv2.waitKey(1)==ord('q')):
             break
      ts = time.time()      
     date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
     timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
     Hour,Minute,Second=timeStamp.split(":")
     fileName="Attendance\Attendance_"+date+"_"+Hour+"-"+Minute+"-"+Second+".csv"
     attendance.to_csv(fileName,index=False)
     cam.release()
     cv2.destroyAllWindows()
     #print(attendance)
     res=attendance
     message2.configure(text= res)``

[BishalPandeycsb]

still showing the unknown to trained images any suggestions

[annu0520]

def TrackImages(): recognizer = cv2.face.LBPHFaceRecognizer_create()#cv2.createLBPHFaceRecognizer() recognizer.read("TrainingImageLabel\Trainner.yml") harcascadePath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(harcascadePath);
df=pd.read_csv("StudentDetails\StudentDetails.csv") cam = cv2.VideoCapture(0) font = cv2.FONT_HERSHEY_SIMPLEX
col_names = ['Id','Name','Date','Time'] attendance = pd.DataFrame(columns = col_names)
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),(225,0,0),2)
             Id, conf = recognizer.predict(gray[y:y+h,x:x+w])
             print(conf)
             if(conf > 60):
                 ts = time.time()      
                 date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
                 timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
                 aa=df.loc[df['Id'] == Id]['Name'].values
                 tt=str(Id)+"-"+aa
                 attendance.loc[len(attendance)] = [Id,aa,date,timeStamp]

             else:
                 Id='Unknown'                
                 tt=str(Id)  
             if(conf < 50):
                 noOfFile=len(os.listdir("ImagesUnknown"))+1
                 cv2.imwrite("ImagesUnknown\Image"+str(noOfFile) + ".jpg", im[y:y+h,x:x+w])            
             cv2.putText(im,str(tt),(x,y+h), font, 1,(0,0,0),2)
         attendance=attendance.drop_duplicates(subset=['Id'],keep='first')    
         cv2.imshow('im',im) 
         if (cv2.waitKey(1)==ord('q')):
             break
      ts = time.time()      
     date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
     timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
     Hour,Minute,Second=timeStamp.split(":")
     fileName="Attendance\Attendance_"+date+"_"+Hour+"-"+Minute+"-"+Second+".csv"
     attendance.to_csv(fileName,index=False)
     cam.release()
     cv2.destroyAllWindows()
     #print(attendance)
     res=attendance
     message2.configure(text= res)``

Still showing unknown image