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basics.py
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basics.py
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import cv2
import numpy as np
import face_recognition
imgBill = face_recognition.load_image_file('train/bill.png')
imgBill = cv2.cvtColor(imgBill, cv2.COLOR_BGR2RGB)
imgTest = face_recognition.load_image_file('train/billTest.png')
imgTest = cv2.cvtColor(imgTest, cv2.COLOR_BGR2RGB)
faceLoc = face_recognition.face_locations(imgBill)[0]
encodeBill = face_recognition.face_encodings(imgBill)[0]
cv2.rectangle(imgBill, (faceLoc[3], faceLoc[0]), (faceLoc[1], faceLoc[2]), (163, 249, 255), 2)
faceLocTest = face_recognition.face_locations(imgTest)[0]
encodeTest = face_recognition.face_encodings(imgTest)[0]
cv2.rectangle(imgTest, (faceLocTest[3], faceLocTest[0]), (faceLocTest[1], faceLocTest[2]), (163, 249, 255), 2)
results = face_recognition.compare_faces([encodeBill], encodeTest)
faceDis = face_recognition.face_distance([encodeBill], encodeTest)
cv2.putText(imgTest, f'{results} {round(faceDis[0], 2)}', (50, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (82, 92, 97), 2)
cv2.imshow('Bill Gates', imgBill)
cv2.imshow('Bill Gates Test', imgTest)
cv2.waitKey(0)