ageitgey · Nov 5, 2017
Showing with 79 additions and 0 deletions.

+79 −0 examples/face_door.py
diff --git a/examples/face_door.py b/examples/face_door.py
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+import face_recognition
+import cv2
+
+# This is a demo of running face recognition on live video from your webcam. It's a little more complicated than the
+# other example, but it includes some basic performance tweaks to make things run a lot faster:
+#   1. Process each video frame at 1/4 resolution (though still display it at full resolution)
+#   2. Only detect faces in every other frame of video.
+
+# PLEASE NOTE: This example requires OpenCV (the `cv2` library) to be installed only to read from your webcam.
+# OpenCV is *not* required to use the face_recognition library. It's only required if you want to run this
+# specific demo. If you have trouble installing it, try any of the other demos that don't require it instead.
+
+# Get a reference to webcam #0 (the default one)
+video_capture = cv2.VideoCapture(0)
+
+# Load a sample picture and learn how to recognize it.
+obama_image = face_recognition.load_image_file("me.jpg")
+obama_face_encoding = face_recognition.face_encodings(obama_image)[0]
+
+# Initialize some variables
+face_locations = []
+face_encodings = []
+face_names = []
+process_this_frame = True
+
+while True:
+    # Grab a single frame of video
+    ret, frame = video_capture.read()
+
+    # Resize frame of video to 1/4 size for faster face recognition processing
+    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
+
+    # Only process every other frame of video to save time
+    if process_this_frame:
+        # Find all the faces and face encodings in the current frame of video
+        face_locations = face_recognition.face_locations(small_frame)
+        face_encodings = face_recognition.face_encodings(small_frame, face_locations)
+
+        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)
+            name = "Unknown"
+
+            if match[0]:
+                name = "Adrian"
+
+            face_names.append(name)
+
+    process_this_frame = not process_this_frame
+
+
+    # Display the results
+    for (top, right, bottom, left), name in zip(face_locations, face_names):
+        # Scale back up face locations since the frame we detected in was scaled to 1/4 size
+        # top *= 4
+        # right *= 4
+        # bottom *= 4
+        # left *= 4
+
+        # 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)
+        print("Hola ", name)
+
+    # 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()