added blink detection example

examples/blink_detection.py

@@ -0,0 +1,103 @@
+#!/usr/bin/env python3
+
+
+# This is a demo of detecting eye status from the users camera. If the users eyes are closed for EYES_CLOSED seconds, the system will start printing out "EYES CLOSED"
+# to the terminal until the user presses and holds the spacebar to acknowledge
+
+# this demo must be run with sudo privileges for the keyboard module to work
+
+# 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.
+
+# imports
+import face_recognition
+import cv2
+import time
+from scipy.spatial import distance as dist
+import keyboard as kb
+
+EYES_CLOSED_SECONDS = 5
+
+def main():
+    closed_count = 0
+    video_capture = cv2.VideoCapture(0)
+
+    ret, frame = video_capture.read(0)
+    # cv2.VideoCapture.release()
+    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
+    rgb_small_frame = small_frame[:, :, ::-1]
+
+    face_landmarks_list = face_recognition.face_landmarks(rgb_small_frame)
+    process = True
+
+    while True:
+        ret, frame = video_capture.read(0)
+
+        # get it into the correct format
+        small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
+        rgb_small_frame = small_frame[:, :, ::-1]
+
+
+
+        # get the correct face landmarks
+
+        if process:
+            face_landmarks_list = face_recognition.face_landmarks(rgb_small_frame)
+
+            # get eyes
+            for face_landmark in face_landmarks_list:
+                left_eye = face_landmark['left_eye']
+                right_eye = face_landmark['right_eye']
+
+
+                color = (255,0,0)
+                thickness = 2
+
+                cv2.rectangle(small_frame, left_eye[0], right_eye[-1], color, thickness)
+
+                cv2.imshow('Video', small_frame)
+                cv2.waitKey(1)
+
+                ear_left = get_ear(left_eye)
+                ear_right = get_ear(right_eye)
+
+                closed = ear_left < 0.2 and ear_right < 0.2
+
+                if (closed):
+                    closed_count += 1
+
+                else:
+                    closed_count = 0
+
+                if (closed_count >= EYES_CLOSED_SECONDS):
+                    asleep = True
+                    while (asleep): #continue this loop until they wake up and acknowledge music
+                        print("EYES CLOSED")
+
+                        if (kb.is_pressed('space')):
+                            asleep = False
+                    closed_count = 0
+
+        process = not process
+
+def get_ear(eye):
+
+	# compute the euclidean distances between the two sets of
+	# vertical eye landmarks (x, y)-coordinates
+	A = dist.euclidean(eye[1], eye[5])
+	B = dist.euclidean(eye[2], eye[4])
+
+	# compute the euclidean distance between the horizontal
+	# eye landmark (x, y)-coordinates
+	C = dist.euclidean(eye[0], eye[3])
+
+	# compute the eye aspect ratio
+	ear = (A + B) / (2.0 * C)
+
+	# return the eye aspect ratio
+	return ear
+
+if __name__ == "__main__":
+    main()
+