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FaceIdentification/Basic.py

+import cv2
+import numpy as np
+import face_recognition
+
+imgElon = face_recognition.load_image_file('ImagesBasic/Me Test.JPG')
+imgElon = cv2.cvtColor(imgElon, cv2.COLOR_BGR2RGB)
+imgTest = face_recognition.load_image_file('ImagesBasic/Hesith.jpg')
+imgTest = cv2.cvtColor(imgTest, cv2.COLOR_BGR2RGB)
+
+faceLoc = face_recognition.face_locations(imgElon)[0]
+encodeElon = face_recognition.face_encodings(imgElon)[0]
+cv2.rectangle(imgElon, (faceLoc[3], faceLoc[0]), (faceLoc[1], faceLoc[2]), (255, 0, 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]), (255, 0, 255), 2)
+
+results = face_recognition.compare_faces([encodeElon], encodeTest)
+faceDis = face_recognition.face_distance([encodeElon], encodeTest)
+print(results, faceDis)
+cv2.putText(imgTest, f'{results} {round(faceDis[0], 2)}', (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
+
+cv2.imshow('Original', imgElon)
+cv2.imshow('Test', imgTest)
+cv2.waitKey(0)