sdsad

pages/4_Face Recognition.py

@@ -39,8 +39,7 @@ def step4_page():
             face_name = face_encoding.split(".")[0]
             known_face_encodings.append(known_face_encoding)
             known_face_names.append(face_name)
-    st.write(known_face_encodings)
-    st.write(known_face_names)
+
     st.info("Select an image to analyze!")
     input_type = st.radio("Select the Input Type", ["Image", "Camera"])
 
@@ -63,19 +62,16 @@ def step4_page():
         if tolerance:
             for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
                 # See if the face is a match for the known face(s)
-                matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
+                # matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
 
                 name = "Unknown"
-                st.write(matches)
                 # If a match was found in known_face_encodings, just use the first one.
                 face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
-                st.write(face_distances)
-                st.write(face_distances.shape)
+
                 # Calculate the row sums
                 row_sums = np.sum(face_distances, axis=1)
                 best_match_index = np.argmin(row_sums)
-                st.write(best_match_index)
-                if matches[best_match_index]:
+                if best_match_index is not None:
                     name = known_face_names[best_match_index]
 
                 face_image = image[top:bottom, left:right]