MediaPipe Hands 테스트

1. 모듈/패키지등의 간섭을 피하기 위해 가상환경에서 실행

2. 필요 모듈 :

  - opencv-contrib-python
  - mediapipe

3. 웹캠을 이용한 MediaPipe Hands 추적 테스트

코드 출처 : https://google.github.io/mediapipe/solutions/hands

Hands

import cv2

import mediapipe as mp

mp_drawing = mp.solutions.drawing_utils

mp_drawing_styles = mp.solutions.drawing_styles

mp_hands = mp.solutions.hands

# For webcam input:

cap = cv2.VideoCapture(0)

with mp_hands.Hands(

    model_complexity=0,

    min_detection_confidence=0.5,

    min_tracking_confidence=0.5) as hands:

  while cap.isOpened():

    success, image = cap.read()

    if not success:

      print("Ignoring empty camera frame.")

      # If loading a video, use 'break' instead of 'continue'.

      continue

    # To improve performance, optionally mark the image as not writeable to

    # pass by reference.

    image.flags.writeable = False

    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

    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,

            mp_drawing_styles.get_default_hand_landmarks_style(),

            mp_drawing_styles.get_default_hand_connections_style())

    # Flip the image horizontally for a selfie-view display.

    cv2.imshow('MediaPipe Hands', cv2.flip(image, 1))

    if cv2.waitKey(5) & 0xFF == 27:

      break

cap.release()