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Help needed urgently. This is a code for recognition of faces and attendance marking. I get the following error

import cv2, dlib import os,time import openface,urllib import pandas as pd from gv import groupid import sys import math import sqlite3 from PIL import Image from playsound import playsound from openpyxl import Workbook, load_workbook from openpyxl.utils import get_column_letter, cell,column_index_from_string cam = cv2.VideoCapture(0)

get current date

currentDate = time.strftime("%d_%m_%y") detector = dlib.get_frontal_face_detector() dlibFacePredictor = 'shape_predictor_68_face_landmarks.dat' # Path to dlib's face predictor align = openface.AlignDlib(dlibFacePredictor) subject=input("Enter Subject:") a=['BI','SIC','PGIS','SQA','ITSM'] path= 'C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/images/' sc=subject+currentDate if subject in a: print("Success") wbook = load_workbook(filename = "C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Attendance/"+subject+".xlsx") sheet = wbook.get_sheet_by_name('TYBSCIT'+subject)

def getDateColumns(): for i in range(1, len(sheet.rows[0]) + 1): cols = get_column_letter(i) if sheet.cell('%s%s'% (col,'1')).value == currentDate: return cols def getProfileId(Ids): connect = sqlite3.connect("C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/sqlite3/Studentdb.db") cmd = "SELECT * FROM Students WHERE ID=" + str(Ids) cursor = connect.execute(cmd) profile = None for row in cursor: profile = row connect.close() return profile

attend = [0 for i in range(60)] rec = cv2.face.LBPHFaceRecognizer_create() # Local Binary Patterns Histograms rec.read('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training/trainingData.yml') # loading the trained data picNumber = 2 image= cv2.imread(path+"/"+sc+".jpg") currentDir = os.path.dirname(os.path.abspath(__file__)) directory = os.path.join(currentDir, 'Extracted_Faces') font = cv2.FONT_HERSHEY_SIMPLEX # the font of text on face recognition gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # conveting the camera input into GrayScale dets = detector(image, 0) totalConf = 0.0 faceRec = 0 for i, J in enumerate(dets): image2 = image[J.top():J.bottom(), J.left():J.right()] rgbImg = cv2.cvtColor(image2, cv2.COLOR_BGR2RGB) bb = align.getLargestFaceBoundingBox(rgbImg) alignedFace = align.align(96, rgbImg, bb=None, landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE) alignedFace= cv2.cvtColor(alignedFace, cv2.COLOR_BGR2GRAY) # conveting the camera input into GrayScale Ids, conf = rec.predict(alignedFace) # Comparing from the trained data if conf < 50: totalConf += conf faceRec += 1 profile = getProfileId(Ids) if profile != None: cv2.putText(image, profile[1] + str("(%.2f)" % conf), (d.left(), d.bottom()), font, (0, 0, 0)) # Writing the name of the face recognized else : cv2.putText(image, "Unknown" + str(conf), (J.left(), J.bottom()),font, 200) # Writing the name of the face recognized # cv2.imwrite(picFolderName, img[d.top():d.bottom(), d.left():d.right()]) cv2.rectangle(image, (d.left(), d.top()), (d.right(), d.bottom()), (255, 255, 255), 2) cv2.imshow('Frames', image) # Showing each frame on the window cv2.imwrite(path + '/verification' + str(picNum) + '.jpg', image) detectPrint = 'Frame' + str(picNum) + ". %d face detected" % len(dets) if faceRec != 0: print (detectPrint + " and ", faceRec, " face recognized with confidence %.2f"%(totalConf / faceRec)) else: print (detectPrint + " and 0 faces recognized")

for row in range(2, len(next(sheet.columns)) + 1): rowno = sheet.cell('A%s'% row).value if rowno is not None: rowno = rowno[-2:] if attend[int(rowno)] != 0: col = getDateColumns() sheet['%s%s' % (col, str(row))] = 1

wbook.save(filename = "C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Attendance/"+subject+".xlsx")
cv2.destroyAllWindows()

The Errror is:- Traceback (most recent call last): File "C:\Users\ACER\Desktop\PROJECT ALL RESOURCE\PROJECT ALL RESOURCE\Implementation\PYTHON FILES\facerecognition.py", line 73, in <module> (J.left(), J.bottom()),font, 200) # Writing the name of the face recognized TypeError: Required argument 'color' (pos 6) not found

click to hide/show revision 2
None

updated 2020-03-01 06:04:38 -0600

berak gravatar image

Help needed urgently. This is a code for recognition of faces and attendance marking. I get the following error

import cv2, dlib import os,time import openface,urllib import pandas as pd from gv import groupid import sys import math import sqlite3 from PIL import Image from playsound import playsound from openpyxl import Workbook, load_workbook from openpyxl.utils import get_column_letter, cell,column_index_from_string cam = cv2.VideoCapture(0)

get current date

currentDate = time.strftime("%d_%m_%y") detector = dlib.get_frontal_face_detector() dlibFacePredictor = 'shape_predictor_68_face_landmarks.dat' # Path to dlib's face predictor align = openface.AlignDlib(dlibFacePredictor) subject=input("Enter Subject:") a=['BI','SIC','PGIS','SQA','ITSM'] path= 'C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/images/' sc=subject+currentDate if subject in a: print("Success") wbook = load_workbook(filename = "C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Attendance/"+subject+".xlsx") sheet = wbook.get_sheet_by_name('TYBSCIT'+subject)

def getDateColumns(): for i in range(1, len(sheet.rows[0]) + 1): cols = get_column_letter(i) if sheet.cell('%s%s'% (col,'1')).value == currentDate: return cols def getProfileId(Ids): connect = sqlite3.connect("C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/sqlite3/Studentdb.db") cmd = "SELECT * FROM Students WHERE ID=" + str(Ids) cursor = connect.execute(cmd) profile = None for row in cursor: profile = row connect.close() return profile

attend = [0 for i in range(60)] rec = cv2.face.LBPHFaceRecognizer_create() # Local Binary Patterns Histograms rec.read('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training/trainingData.yml') # loading the trained data picNumber = 2 image= cv2.imread(path+"/"+sc+".jpg") currentDir = os.path.dirname(os.path.abspath(__file__)) directory = os.path.join(currentDir, 'Extracted_Faces') font = cv2.FONT_HERSHEY_SIMPLEX # the font of text on face recognition gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # conveting the camera input into GrayScale dets = detector(image, 0) totalConf = 0.0 faceRec = 0 for i, J in enumerate(dets): image2 = image[J.top():J.bottom(), J.left():J.right()] rgbImg = cv2.cvtColor(image2, cv2.COLOR_BGR2RGB) bb = align.getLargestFaceBoundingBox(rgbImg) alignedFace = align.align(96, rgbImg, bb=None, landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE) alignedFace= cv2.cvtColor(alignedFace, cv2.COLOR_BGR2GRAY) # conveting the camera input into GrayScale Ids, conf = rec.predict(alignedFace) # Comparing from the trained data if conf < 50: totalConf += conf faceRec += 1 profile = getProfileId(Ids) if profile != None: cv2.putText(image, profile[1] + str("(%.2f)" % conf), (d.left(), d.bottom()), font, (0, 0, 0)) # Writing the name of the face recognized else : cv2.putText(image, "Unknown" + str(conf), (J.left(), J.bottom()),font, 200) # Writing the name of the face recognized # cv2.imwrite(picFolderName, img[d.top():d.bottom(), d.left():d.right()]) cv2.rectangle(image, (d.left(), d.top()), (d.right(), d.bottom()), (255, 255, 255), 2) cv2.imshow('Frames', image) # Showing each frame on the window cv2.imwrite(path + '/verification' + str(picNum) + '.jpg', image) detectPrint = 'Frame' + str(picNum) + ". %d face detected" % len(dets) if faceRec != 0: print (detectPrint + " and ", faceRec, " face recognized with confidence %.2f"%(totalConf / faceRec)) else: print (detectPrint + " and 0 faces recognized")

for row in range(2, len(next(sheet.columns)) + 1): rowno = sheet.cell('A%s'% row).value if rowno is not None: rowno = rowno[-2:] if attend[int(rowno)] != 0: col = getDateColumns() sheet['%s%s' % (col, str(row))] = 1

wbook.save(filename = "C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Attendance/"+subject+".xlsx")
cv2.destroyAllWindows()

The Errror is:- Traceback (most recent call last): File "C:\Users\ACER\Desktop\PROJECT ALL RESOURCE\PROJECT ALL RESOURCE\Implementation\PYTHON FILES\facerecognition.py", line 73, in <module> (J.left(), J.bottom()),font, 200) # Writing the name of the face recognized TypeError: Required argument 'color' (pos 6) not found

click to hide/show revision 3
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updated 2020-03-01 06:06:15 -0600

berak gravatar image

Help needed urgently. This is a code for recognition of faces and attendance marking. I get the following error

The Errror is:-

Traceback (most recent call last):
  File "C:\Users\ACER\Desktop\PROJECT ALL RESOURCE\PROJECT ALL RESOURCE\Implementation\PYTHON FILES\facerecognition.py", line 73, in <module>
    (J.left(), J.bottom()),font, 200)                                            # Writing the name of the face recognized
TypeError: Required argument 'color' (pos 6) not found

code:

import cv2, dlib
import os,time
import openface,urllib
import pandas as pd
from gv import groupid
import sys
import math
import sqlite3
from PIL import Image
from playsound import playsound
from openpyxl import Workbook, load_workbook
from openpyxl.utils import get_column_letter, cell,column_index_from_string
cam = cv2.VideoCapture(0)
 
get cv2.VideoCapture(0)
#get current date
 
date
currentDate = time.strftime("%d_%m_%y")
detector = dlib.get_frontal_face_detector()
dlibFacePredictor = 'shape_predictor_68_face_landmarks.dat'                     # Path to dlib's face predictor
align = openface.AlignDlib(dlibFacePredictor)
subject=input("Enter Subject:")
a=['BI','SIC','PGIS','SQA','ITSM']
path= 'C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/images/'
sc=subject+currentDate
if subject in a:
    print("Success")
    wbook = load_workbook(filename = "C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Attendance/"+subject+".xlsx")
    sheet = wbook.get_sheet_by_name('TYBSCIT'+subject)
 
wbook.get_sheet_by_name('TYBSCIT'+subject)

def getDateColumns():
    for i in range(1, len(sheet.rows[0]) + 1):
        cols = get_column_letter(i)
        if sheet.cell('%s%s'% (col,'1')).value == currentDate:
            return cols
def getProfileId(Ids):
    connect = sqlite3.connect("C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/sqlite3/Studentdb.db")
    cmd = "SELECT * FROM Students WHERE ID=" + str(Ids)
    cursor = connect.execute(cmd)
    profile = None
    for row in cursor:
        profile = row
    connect.close()
    return profile
 
profile

attend = [0 for i in range(60)]
rec = cv2.face.LBPHFaceRecognizer_create()                                            # Local Binary Patterns Histograms
rec.read('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training/trainingData.yml')                                       # loading the trained data
picNumber = 2
image= cv2.imread(path+"/"+sc+".jpg")
currentDir = os.path.dirname(os.path.abspath(__file__))
directory = os.path.join(currentDir, 'Extracted_Faces')
font = cv2.FONT_HERSHEY_SIMPLEX             # the font of text on face recognition
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)                                    # conveting the camera input into GrayScale
dets = detector(image, 0)
totalConf = 0.0
faceRec = 0
for i, J in enumerate(dets):
    image2 = image[J.top():J.bottom(), J.left():J.right()]
    rgbImg = cv2.cvtColor(image2, cv2.COLOR_BGR2RGB)
    bb = align.getLargestFaceBoundingBox(rgbImg)
    alignedFace = align.align(96, rgbImg, bb=None, landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE)
    alignedFace= cv2.cvtColor(alignedFace, cv2.COLOR_BGR2GRAY)                 # conveting the camera input into GrayScale
    Ids, conf = rec.predict(alignedFace)    # Comparing from the trained data
    if conf < 50:
        totalConf += conf
        faceRec += 1
        profile = getProfileId(Ids)
        if profile != None:
            cv2.putText(image,
                            profile[1] + str("(%.2f)" % conf),
                            (d.left(), d.bottom()), font, (0, 0, 0))                                      # Writing the name of the face recognized
    else :
        cv2.putText(image,
                        "Unknown" + str(conf),
                        (J.left(), J.bottom()),font, 200)                                            # Writing the name of the face recognized
    # cv2.imwrite(picFolderName, img[d.top():d.bottom(), d.left():d.right()])
    cv2.rectangle(image, (d.left(), d.top()), (d.right(), d.bottom()), (255, 255, 255), 2)
cv2.imshow('Frames', image)                                                     # Showing each frame on the window
cv2.imwrite(path + '/verification' + str(picNum) + '.jpg', image)
detectPrint = 'Frame' + str(picNum) + ". %d face detected" % len(dets)
if faceRec != 0:
    print (detectPrint + " and ", faceRec, " face recognized with confidence %.2f"%(totalConf / faceRec))
else:
    print (detectPrint + " and 0 faces recognized")
 
recognized")

for row in range(2, len(next(sheet.columns)) + 1):
    rowno = sheet.cell('A%s'% row).value
    if rowno is not None:
        rowno = rowno[-2:]
        if attend[int(rowno)] != 0:
            col = getDateColumns()
            sheet['%s%s' % (col, str(row))] = 1
 
1

wbook.save(filename = "C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Attendance/"+subject+".xlsx") 

cv2.destroyAllWindows()
 
The Errror is:-
Traceback (most recent call last):
  File "C:\Users\ACER\Desktop\PROJECT ALL RESOURCE\PROJECT ALL RESOURCE\Implementation\PYTHON FILES\facerecognition.py", line 73, in <module>
    (J.left(), J.bottom()),font, 200)                                            # Writing the name of the face recognized
TypeError: Required argument 'color' (pos 6) not found
       
cv2.destroyAllWindows()
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