added face encodings page dhk

pages/3_Face Encodings.py

@@ -62,8 +62,7 @@ def step3_page():
                 face_image = face_recognition.load_image_file(os.path.join(img_dir, img))
                 my_face_encoding = face_recognition.face_encodings(face_image)
                 my_bar.progress(int((i + 1) / len(images) * 100), text="Generating face encodings...")
-                with open(os.path.join(".sessions", get_login()["username"], "face_encodings",img.split("_")[1]+".npy"), 'wb') as f:
-                    np.save(f, my_face_encoding)
+                np.save(os.path.join(".sessions", get_login()["username"], "face_encodings",img.split("_")[1]+".npy"), my_face_encoding)
                 # face_encodings_dict[img.split("_")[1]] = my_face_encoding.tolist()
             my_bar.progress(100, text="Successfully encoded all the known faces!")
             st.success("Face encoding completed successfully!")

pages/4_Face Recognition.py

@@ -37,11 +37,10 @@ def step4_page():
     known_face_names = []
     if len(face_encodings) > 0:
         for i, face_encoding in enumerate(face_encodings):
-            with open(os.path.join(face_encodings_dir, face_encoding), 'rb') as f:
-                known_face_encoding = np.load(f)
-                face_name = img.split(".")[0]
-                known_face_encodings.append(known_face_encoding)
-                known_face_names.append(face_name)
+            known_face_encoding = np.load(os.path.join(face_encodings_dir, face_encoding))
+            face_name = img.split(".")[0]
+            known_face_encodings.append(known_face_encoding)
+            known_face_names.append(face_name)
 
     while True:
             # Grab a single frame of video