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Face Verification/face_verification.py

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+from insightface.app import FaceAnalysis
+import numpy as np
+import argparse
+import cv2
+ap=argparse.ArgumentParser()
+ap.add_argument("--image1",type=str,help="Path of the first image")
+ap.add_argument("--image2",type=str,help="Path of the second image")
+args=ap.parse_args
+image1_p=args.image1
+image2_p=args.image2
+fa=FaceAnalysis(providers=['CPUEecutionProvider'],name="buffalo_l")
+fa.prepare(ctx_id=0,det_size=(640,640))
+image1=cv2.imread(image1_p)
+image1=cv2.cvtColor(image1,cv2.COLOR_BGR2RGB)
+result1=fa.get(image1)
+
+
+image2=cv2.imread(image2_p)
+image2=cv2.cvtColor(image2,cv2.COLOR_BGR2RGB)
+result2=fa.get(image2)
+
+distance=np.sprt(np.sum((result1[0]["embedding"]-result2[0]["embedding"])**2))
+threshold=25
+if distance<threshold:
+    print("Same person")
+else:
+    print("Diffrent persons")

Face Verification/requirements.txt

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+insightface
+numpy
+opencv-python
+matplotlib