<p></p>import cv2
import face_recognition
### Import Images
img1 = face_recognition.load_image_file('ImagesAttendance/Murtaza Hassan.png')
#img2 = face_recognition.load_image_file('ImagesAttendance/Murtaza Hassan 2.jpg')
img2 = face_recognition.load_image_file('ImagesAttendance/Steve Carell.jpg')
### Convert BGR to RGB
img1 = cv2.cvtColor(img1,cv2.COLOR_BGR2RGB)
img2 = cv2.cvtColor(img2,cv2.COLOR_BGR2RGB)
### Find locations of faces
faceLoc1 = face_recognition.face_locations(img1)[0]
faceLoc2 = face_recognition.face_locations(img2)[0]
print(faceLoc1)
### Draw Rectangles on faces found
cv2.rectangle(img1,(faceLoc1[3],faceLoc1[0]),(faceLoc1[1],faceLoc1[2]),(255,0,255),2)
cv2.rectangle(img2,(faceLoc2[3],faceLoc2[0]),(faceLoc2[1],faceLoc2[2]),(255,0,255),2)
### Find Encodings
encode1 = face_recognition.face_encodings(img1)[0]
encode2 = face_recognition.face_encodings(img2)[0]
### Compare the encodings
result = face_recognition.compare_faces([encode1],encode2)
faceDis = face_recognition.face_distance([encode1],encode2)
cv2.putText(img2,f'{result} : {round(faceDis[0],2)}',(50,50),cv2.FONT_HERSHEY_COMPLEX,1,(0,0,255),2)
cv2.imshow("Img1",img1)
cv2.imshow("Img2",img2)
cv2.waitKey(0)
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