Eye Tracking entfernt

projectmood/FaceDetectionAndLandmark

@@ -8,7 +8,7 @@ detector = dlib.get_frontal_face_detector()  # Face detector
 detectors = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 predictor = dlib.shape_predictor(
     "shape_predictor_68_face_landmarks.dat")  # Landmark identifier. Set the filename to whatever you named the downloaded file
-eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
+
 
 while True:
     ret, frame = video_capture.read()
@@ -29,9 +29,7 @@ while True:
                 cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
                 roi_gray = gray[y:y + h, x:x + w]
                 roi_color = frame[y:y + h, x:x + w]
-                eyes = eye_cascade.detectMultiScale(roi_gray)
-                for (ex, ey, ew, eh) in eyes:
-                    cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
+
 
     cv2.imshow("image", frame)  # Display the frame
 

projectmood/ErsterTest → projectmood/Haarcascade

-import numpy as np
+
 import cv2
 
 detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

projectmood/main.py

+import cv2
+import emoji
+
+print(emoji.emojize('Python is  :city_sunrise:', use_aliases=True))
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