seperate process class for readability

-import base64
-import face_recognition
-import numpy as np
-from cv2 import cv2
-import os
+import process
 
-known_path = './images/' # directory path of known faces
-image_format = 'jpg'
-
-# image to base64 encoding
-# you have to set 'encoded_image' to frame code
-with open("./images/obama.jpg", "rb") as img_file:
-    encoded_image = base64.b64encode(img_file.read())
-
-#base64 to image(uint8) decoding
-img64_decode = base64.decodebytes(encoded_image)
-im_arr = np.frombuffer(img64_decode, dtype=np.uint8)
-decoded_img = cv2.imdecode(im_arr, flags=cv2.IMREAD_COLOR)
-
-#encoding frame
-unknown_face_encoding = face_recognition.face_encodings(decoded_img)[0]
-
-# Load & encode all images from known_path
-known_list = os.listdir(known_path)
-known_faces = []
-
-
-for f in known_list : 
-    if f.split('.')[-1] != image_format : continue
-    known_img = face_recognition.load_image_file(known_path+f)
-    known_img_encoding = face_recognition.face_encodings(known_img)[0]
-    known_faces.append(known_img_encoding)
-
-# results is an array of True/False telling if the unknown face matched anyone in the known_faces array
-results = face_recognition.compare_faces(known_faces, unknown_face_encoding)
-print(results)
-#print(not True in results)
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+if __name__ == '__main__':
+    p = process.Process()
+    p.ProcessImage()
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+import base64
+import face_recognition
+import numpy as np
+from cv2 import cv2
+import os
+
+class Process:
+    def __init__(self):
+        known_path = './images/' # directory path of known faces
+        image_format = 'jpg'
+
+        known_list = os.listdir(known_path)
+        self.known_faces = []
+
+        # Load & encode all images from known_path
+        for f in known_list : 
+            if f.split('.')[-1] != image_format : continue
+            known_img = face_recognition.load_image_file(known_path+f)
+            known_img_encoding = face_recognition.face_encodings(known_img)[0]
+            self.known_faces.append(known_img_encoding)
+    def ProcessImage(self):
+        # image to base64 encoding
+        # you have to set 'encoded_image' to frame code
+        with open("./images/obama.jpg", "rb") as img_file:
+            encoded_image = base64.b64encode(img_file.read())
+
+        #base64 to image(uint8) decoding
+        img64_decode = base64.b64decode(encoded_image)
+        im_arr = np.frombuffer(img64_decode, dtype=np.uint8)
+        decoded_img = cv2.imdecode(im_arr, flags=cv2.IMREAD_COLOR)
+
+        face = self.FaceRecognition(decoded_img) #True면 침입자 발생
+
+        result= {"unknown_person" : face}
+        print(result)
+        return result
+    def FaceRecognition(self, decoded_img):
+        #encoding frame
+        try :
+            unknown_face_encoding = face_recognition.face_encodings(decoded_img)[0]
+            # results is an array of True/False telling if the unknown face matched anyone in the known_faces array
+            # 아는 얼굴이면 False, 모르는 얼굴이면 True
+            results = face_recognition.compare_faces(self.known_faces, unknown_face_encoding)
+            return not True in results
+        except IndexError:
+            print("얼굴없음")
+            return False
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