CODINGAN ABSENSI FACE ID

 import cv2, os, numpy as np

import tkinter as tk

from PIL import ImageTk, Image

from datetime import datetime

def selesai1():

    intructions.config(text="Rekam Data Telah Selesai!")

def selesai2():

    intructions.config(text="Training Wajah Telah Selesai!")

def selesai3():

    intructions.config(text="Absensi Telah Dilakukan")

def rekamDataWajah():

    wajahDir = 'datawajah'

    cam = cv2.VideoCapture(0)

    cam.set(3, 640)

    cam.set(4, 480)

    faceDetector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

    eyeDetector = cv2.CascadeClassifier('haarcascade_eye.xml')

    faceID = entry2.get()

    nama = entry1.get()

    nim = entry2.get()

    kelas = entry3.get()

    ambilData = 1

    while True:

        retV, frame = cam.read()

        abuabu = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        faces = faceDetector.detectMultiScale(abuabu, 1.3, 5)

        for (x, y, w, h) in faces:

            frame = cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 255), 2)

            namaFile = str(nim) +'_'+str(nama) + '_' + str(kelas) +'_'+ str(ambilData) +'.jpg'

            cv2.imwrite(wajahDir + '/' + namaFile, frame)

            ambilData += 1

            roiabuabu = abuabu[y:y + h, x:x + w]

            roiwarna = frame[y:y + h, x:x + w]

            eyes = eyeDetector.detectMultiScale(roiabuabu)

            for (xe, ye, we, he) in eyes:

                cv2.rectangle(roiwarna, (xe, ye), (xe + we, ye + he), (0, 255, 255), 1)

        cv2.imshow('webcamku', frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):  # jika menekan tombol q akan berhenti

            break

        elif ambilData > 30:

            break

    selesai1()

    cam.release()

    cv2.destroyAllWindows()  # untuk menghapus data yang sudah dibaca

def trainingWajah():

    wajahDir = 'datawajah'

    latihDir = 'latihwajah'

    def getImageLabel(path):

        imagePaths = [os.path.join(path, f) for f in os.listdir(path)]

        faceSamples = []

        faceIDs = []

        for imagePath in imagePaths:

            PILimg = Image.open(imagePath).convert('L')

            imgNum = np.array(PILimg, 'uint8')

            faceID = int(os.path.split(imagePath)[-1].split('_')[0])

            faces = faceDetector.detectMultiScale(imgNum)

            for (x, y, w, h) in faces:

                faceSamples.append(imgNum[y:y + h, x:x + w])

                faceIDs.append(faceID)

            return faceSamples, faceIDs

    faceRecognizer = cv2.face.LBPHFaceRecognizer_create()

    faceDetector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

    faces, IDs = getImageLabel(wajahDir)

    faceRecognizer.train(faces, np.array(IDs))

    # simpan

    faceRecognizer.write(latihDir + '/training.xml')

    selesai2()

def markAttendance(name):

    with open("Attendance.csv",'r+') as f:

        namesDatalist = f.readlines()

        namelist = []

        yournim = entry2.get()

        yourclass = entry3.get()

        for line in namesDatalist:

            entry = line.split(',')

            namelist.append(entry[0])

        if name not in namelist:

            now = datetime.now()

            dtString = now.strftime('%H:%M:%S')

            f.writelines(f'\n{name},{yourclass},{yournim},{dtString}')

def absensiWajah():

    wajahDir = 'datawajah'

    latihDir = 'latihwajah'

    cam = cv2.VideoCapture(0)

    cam.set(3, 640)

    cam.set(4, 480)

    faceDetector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

    faceRecognizer = cv2.face.LBPHFaceRecognizer_create()

    faceRecognizer.read(latihDir + '/training.xml')

    font = cv2.FONT_HERSHEY_SIMPLEX

    #id = 0

    yourname = entry1.get()

    names = []

    names.append(yourname)

    minWidth = 0.1 * cam.get(3)

    minHeight = 0.1 * cam.get(4)

    while True:

        retV, frame = cam.read()

        frame = cv2.flip(frame, 1)

        abuabu = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        faces = faceDetector.detectMultiScale(abuabu, 1.2, 5, minSize=(round(minWidth), round(minHeight)), )

        for (x, y, w, h) in faces:

            frame = cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0),2)

            id, confidence = faceRecognizer.predict(abuabu[y:y+h,x:x+w])

            if (confidence < 100):

                id = names[0]

                confidence = "  {0}%".format(round(150 - confidence))

            elif confidence < 50:

                id = names[0]

                confidence = "  {0}%".format(round(170 - confidence))

            elif confidence > 70:

                id = "Tidak Diketahui"

                confidence = "  {0}%".format(round(150 - confidence))

            cv2.putText(frame, str(id), (x + 5, y - 5), font, 1, (255, 255, 255), 2)

            cv2.putText(frame, str(confidence), (x + 5, y + h + 25), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 0), 2)

        cv2.imshow('ABSENSI WAJAH', frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):  # jika menekan tombol q akan berhenti

            break

    markAttendance(id)

    selesai3()

    cam.release()

    cv2.destroyAllWindows()

# GUI

root = tk.Tk()

# mengatur canvas (window tkinter)

canvas = tk.Canvas(root, width=700, height=400)

canvas.grid(columnspan=3, rowspan=8)

canvas.configure(bg="Black")

# judul

judul = tk.Label(root, text="Absensi Face ID", font=("Roboto",34),bg="Black", fg="white")

canvas.create_window(350, 80, window=judul)

#credit

made = tk.Label(root, text="M Irza Alfarizi", font=("Times New Roman",13), bg="black",fg="white")

canvas.create_window(360, 20, window=made)

# for entry data nama

entry1 = tk.Entry (root, font="Roboto")

canvas.create_window(457, 170, height=25, width=411, window=entry1)

label1 = tk.Label(root, text="Nama Siswa", font="Roboto", fg="white", bg="black")

canvas.create_window(90,170, window=label1)

# for entry data nim

entry2 = tk.Entry (root, font="Roboto")

canvas.create_window(457, 210, height=25, width=411, window=entry2)

label2 = tk.Label(root, text="NPM", font="Roboto", fg="white", bg="black")

canvas.create_window(60, 210, window=label2)

# for entry data kelas

entry3 = tk.Entry (root, font="Roboto")

canvas.create_window(457, 250, height=25, width=411, window=entry3)

label3 = tk.Label(root, text="Kelas", font="Roboto", fg="white", bg="black")

canvas.create_window(65, 250, window=label3)

global intructions

# tombol untuk rekam data wajah

intructions = tk.Label(root, text="Hello !!!", font=("Roboto",15),fg="white",bg="black")

canvas.create_window(370, 300, window=intructions)

Rekam_text = tk.StringVar()

Rekam_btn = tk.Button(root, textvariable=Rekam_text, font="Roboto", bg="#20bebe", fg="white", height=1, width=15,command=rekamDataWajah)

Rekam_text.set("Rekam Gambar")

Rekam_btn.grid(column=0, row=7)

# tombol untuk training wajah

Rekam_text1 = tk.StringVar()

Rekam_btn1 = tk.Button(root, textvariable=Rekam_text1, font="Roboto", bg="#20bebe", fg="white", height=1, width=15,command=trainingWajah)

Rekam_text1.set("Training")

Rekam_btn1.grid(column=1, row=7)

# tombol absensi dengan wajah

Rekam_text2 = tk.StringVar()

Rekam_btn2 = tk.Button(root, textvariable=Rekam_text2, font="Roboto", bg="#20bebe", fg="white", height=1, width=20, command=absensiWajah)

Rekam_text2.set("Absensi Otomatis")

Rekam_btn2.grid(column=2, row=7)

root.mainloop()