77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
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#!/usr/bin/env python
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import math
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import cv2
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import mediapipe as mp
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mp_drawing = mp.solutions.drawing_utils
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mp_drawing_styles = mp.solutions.drawing_styles
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mp_hands = mp.solutions.hands
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# For webcam input:
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# cv2.namedWindow("window", cv2.WND_PROP_FULLSCREEN)
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# cv2.setWindowProperty("window",cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)
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cap = cv2.VideoCapture(0)
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count = 0
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with mp_hands.Hands(
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model_complexity=0,
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min_detection_confidence=0.5,
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min_tracking_confidence=0.5,
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max_num_hands=20) as hands:
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framecount = 0
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previous_x = 0
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previous_y = 0
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timeout = 0
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while cap.isOpened():
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success, image = cap.read()
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if not success:
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print("Ignoring empty camera frame.")
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# If loading a video, use 'break' instead of 'continue'.
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continue
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# To improve performance, optionally mark the image as not writeable to
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# pass by reference.
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image.flags.writeable = False
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image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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results = hands.process(image)
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# Draw the hand annotations on the image.
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image.flags.writeable = True
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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if results.multi_hand_landmarks:
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for hand_landmarks in results.multi_hand_landmarks:
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x = hand_landmarks.landmark[mp_hands.HandLandmark.INDEX_FINGER_TIP].x
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y = hand_landmarks.landmark[mp_hands.HandLandmark.INDEX_FINGER_TIP].y
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if (framecount % 5) == 0:
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# print(f'{abs(previous_x - x)} {abs(previous_y - y)}')
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previous_x = x
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previous_y = y
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if abs(previous_x - x) < 0.01 and abs(previous_y - y) < 0.01 and timeout <= 0:
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print("Still")
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cv2.circle(image,(int(x),int(y)), 63, (0,0,255), -1)
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print(x, y)
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timeout = 5
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timeout -= 1
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framecount += 1
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mp_drawing.draw_landmarks(
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image,
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hand_landmarks,
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mp_hands.HAND_CONNECTIONS,
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mp_drawing_styles.get_default_hand_landmarks_style(),
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mp_drawing_styles.get_default_hand_connections_style())
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# Flip the image horizontally for a selfie-view display.
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cv2.imshow('window', cv2.flip(image, 1))
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if cv2.waitKey(5) & 0xFF == ord('q'):
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break
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cap.release()
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