Zweiten Test mit Landmarks umgesetzt Ziele sollte nun sein beide Tests zusammen zu fuegen

projectmood/ZweiterTest

+# Import required modules
+import cv2
+import dlib
+
+# Set up some required objects
+video_capture = cv2.VideoCapture(0)  # Webcam object
+detector = dlib.get_frontal_face_detector()  # Face detector
+predictor = dlib.shape_predictor(
+    "shape_predictor_68_face_landmarks.dat")  # Landmark identifier. Set the filename to whatever you named the downloaded file
+
+while True:
+    ret, frame = video_capture.read()
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
+    clahe_image = clahe.apply(gray)
+
+    detections = detector(clahe_image, 1)  # Detect the faces in the image
+
+    for k, d in enumerate(detections):  # For each detected face
+
+        shape = predictor(clahe_image, d)  # Get coordinates
+        for i in range(1, 68):  # There are 68 landmark points on each face
+            cv2.circle(frame, (shape.part(i).x, shape.part(i).y), 1, (0, 0, 255),
+                       thickness=2)  # For each point, draw a red circle with thickness2 on the original frame
+
+    cv2.imshow("image", frame)  # Display the frame
+
+    if cv2.waitKey(1) & 0xFF == ord('q'):  # Exit program when the user presses 'q'
+        break
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