Update inspireface to 1.2.0

cpp-package/inspireface/python/sample_face_comparison.py

@@ -0,0 +1,52 @@
+import cv2
+import inspireface as isf
+import click
+
+@click.command()
+@click.argument('image_path1')
+@click.argument('image_path2') 
+def case_face_comparison(image_path1, image_path2):
+    """
+    This is a sample application for comparing two face images.
+    Args:
+        image_path1 (str): Path to the first face image
+        image_path2 (str): Path to the second face image
+    """
+    # Enable face recognition features
+    opt = isf.HF_ENABLE_FACE_RECOGNITION
+    session = isf.InspireFaceSession(opt, isf.HF_DETECT_MODE_ALWAYS_DETECT)
+
+    # Load and check the first image
+    image1 = cv2.imread(image_path1)
+    assert image1 is not None, "Failed to load first image"
+    
+    # Load and check the second image  
+    image2 = cv2.imread(image_path2)
+    assert image2 is not None, "Failed to load second image"
+
+    # Detect faces in first image
+    faces1 = session.face_detection(image1)
+    assert faces1, "No face detected in first image"
+    face1 = faces1[0]  # Use the first detected face
+
+    # Detect faces in second image
+    faces2 = session.face_detection(image2)
+    assert faces2, "No face detected in second image"
+    face2 = faces2[0]  # Use the first detected face
+
+    # Extract features
+    feature1 = session.face_feature_extract(image1, face1)
+    feature2 = session.face_feature_extract(image2, face2)
+
+    # Calculate similarity score between the two faces
+    similarity = isf.feature_comparison(feature1, feature2)
+    
+    print(f"The cosine similarity score: {similarity:.4f}")
+    print(f"{'Same person' if similarity > isf.get_recommended_cosine_threshold() else 'Different person'}")
+
+    percentage = isf.cosine_similarity_convert_to_percentage(similarity)
+    print(f"The percentage similarity: {percentage:.4f}")
+
+
+if __name__ == '__main__':
+    case_face_comparison()