gestures/google_solution.py

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+import cv2
+import mediapipe as mp
+mp_drawing = mp.solutions.drawing_utils
+mp_hands = mp.solutions.hands
+
+hands = mp_hands.Hands(
+    min_detection_confidence=0.5, min_tracking_confidence=0.5)
+cap = cv2.VideoCapture(0)
+while cap.isOpened():
+  success, image = cap.read()
+
+  # Flip the image horizontally for a later selfie-view display, and convert
+  # the BGR image to RGB.
+  image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
+  # To improve performance, optionally mark the image as not writeable to
+  # pass by reference.
+  image.flags.writeable = False
+  results = hands.process(image)
+
+
+  # Draw the hand annotations on the image.
+  image.flags.writeable = True
+  image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+  if results.multi_hand_landmarks:
+    for hand_landmarks in results.multi_hand_landmarks:
+      mp_drawing.draw_landmarks(
+          image, hand_landmarks, mp_hands.HAND_CONNECTIONS)
+      #print(hand_landmarks)        ## spójrz na to
+
+  cv2.imshow('MediaPipe Hands', image)
+  if cv2.waitKey(5) & 0xFF == 27:
+    break
+hands.close()
+cap.release()
+