face recog fixed

pages/2_Face Detection and Creating Database.py

@@ -56,7 +56,13 @@ def step2_page():
         But remember, we should always ask for permission before taking someone's picture. We can use a smartphone or a digital camera to capture pictures, and it's important to take pictures of different people. This will help our application to have a good known-faces database!
         """
     )
-    picture = st.camera_input("Take a picture")
+    st.info("Select an image to continue!")
+    input_type = st.radio("Select the Input Type", ["Image", "Camera"])
+
+    if input_type == "Camera":
+        picture = st.camera_input("Take a picture")
+    else:
+        picture = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
     if picture:
         image = face_recognition.load_image_file(picture)
         st.image(image)

pages/4_Face Recognition.py

@@ -54,9 +54,13 @@ def step4_page():
         # Loop through each face in this image
         cols = st.columns(len(face_encodings))
         i = 0
+        st.image(image)
+        st.info("Select the tolerance level you want for your model! (How much distance between faces to consider it a match. "
+                "Lower is more strict. 0.6 is typical best performance.)")
+        tolerance = st.slider('Select tolerance level', 0, 1, 0.6, 0.1)
         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, tolerance=tolerance)
 
             name = "Unknown"
             # If a match was found in known_face_encodings, just use the first one.
@@ -70,23 +74,6 @@ def step4_page():
             cols[i].write("Person name: " +name)
             i+=1
 
-    #             # Draw a box around the face
-    #             cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
-    #
-    #             # Draw a label with a name below the face
-    #             cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
-    #             font = cv2.FONT_HERSHEY_DUPLEX
-    #             cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
-    #
-    #         # Display the resulting image
-    #         cv2.imshow('Video', frame)
-    #         # Hit 'q' on the keyboard to quit!
-    #         if cv2.waitKey(1) & 0xFF == ord('q'):
-    #             break
-    # # Release handle to the webcam
-    # video_capture.release()
-    # cv2.destroyAllWindows()
-
     st.info("Click on the button below to complete this level!")
     if st.button("Complete Level"):
         complete_level(LEVEL)