Update webcam examples to show how to recognize more than one face

examples/facerec_from_webcam.py

@@ -15,6 +15,20 @@ video_capture = cv2.VideoCapture(0)
 obama_image = face_recognition.load_image_file("obama.jpg")
 obama_face_encoding = face_recognition.face_encodings(obama_image)[0]
 
+# Load a second sample picture and learn how to recognize it.
+biden_image = face_recognition.load_image_file("biden.jpg")
+biden_face_encoding = face_recognition.face_encodings(biden_image)[0]
+
+# Create arrays of known face encodings and their names
+known_face_encodings = [
+    obama_face_encoding,
+    biden_face_encoding
+]
+known_face_names = [
+    "Barack Obama",
+    "Joe Biden"
+]
+
 while True:
     # Grab a single frame of video
     ret, frame = video_capture.read()
@@ -29,11 +43,14 @@ while True:
     # Loop through each face in this frame of video
     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)
-        match = face_recognition.compare_faces([obama_face_encoding], face_encoding)
+        matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
 
         name = "Unknown"
-        if match[0]:
-            name = "Barack"
+
+        # If a match was found in known_face_encodings, just use the first one.
+        if True in matches:
+            first_match_index = matches.index(True)
+            name = known_face_names[first_match_index]
 
         # Draw a box around the face
         cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)

examples/facerec_from_webcam_faster.py

@@ -17,6 +17,20 @@ video_capture = cv2.VideoCapture(0)
 obama_image = face_recognition.load_image_file("obama.jpg")
 obama_face_encoding = face_recognition.face_encodings(obama_image)[0]
 
+# Load a second sample picture and learn how to recognize it.
+biden_image = face_recognition.load_image_file("biden.jpg")
+biden_face_encoding = face_recognition.face_encodings(biden_image)[0]
+
+# Create arrays of known face encodings and their names
+known_face_encodings = [
+    obama_face_encoding,
+    biden_face_encoding
+]
+known_face_names = [
+    "Barack Obama",
+    "Joe Biden"
+]
+
 # Initialize some variables
 face_locations = []
 face_encodings = []
@@ -42,11 +56,13 @@ while True:
         face_names = []
         for face_encoding in face_encodings:
             # See if the face is a match for the known face(s)
-            match = face_recognition.compare_faces([obama_face_encoding], face_encoding)
+            matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
             name = "Unknown"
 
-            if match[0]:
-                name = "Barack"
+            # If a match was found in known_face_encodings, just use the first one.
+            if True in matches:
+                first_match_index = matches.index(True)
+                name = known_face_names[first_match_index]
 
             face_names.append(name)