一个很好玩的关键点检测的Dome

[特辣番茄炒鸡蛋]

import cv2
import mediapipe as mp

mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_holistic = mp.solutions.holistic

cap = cv2.VideoCapture(0)
with mp_holistic.Holistic(
        min_detection_confidence=0.5,
        min_tracking_confidence=0.5) as holistic:
    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

        image.flags.writeable = False
        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        results = holistic.process(image)
        # 画图
        image.flags.writeable = True
        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
        mp_drawing.draw_landmarks(
            image,
            results.face_landmarks,
            mp_holistic.FACEMESH_CONTOURS,
            landmark_drawing_spec=None,
            connection_drawing_spec=mp_drawing_styles
            .get_default_face_mesh_contours_style())
        mp_drawing.draw_landmarks(
            image,
            results.pose_landmarks,
            mp_holistic.POSE_CONNECTIONS,
            landmark_drawing_spec=mp_drawing_styles
            .get_default_pose_landmarks_style())

        mp_drawing.draw_landmarks(image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
        mp_drawing.draw_landmarks(image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS)

        # 右手21个节点坐标
        if results.left_hand_landmarks:
            for index, landmarks in enumerate(results.left_hand_landmarks.landmark):
                print('L: ')
                print(index, landmarks)

        if results.right_hand_landmarks:
            for index, landmarks in enumerate(results.right_hand_landmarks.landmark):
                print('R: ')
                print(index, landmarks)
        # 鼻子坐标
        # print(results.pose_landmarks.landmark[mp_holistic.PoseLandmark.NOSE])
        cv2.imshow('MediaPipe Holistic', cv2.flip(image, 1))
        if cv2.waitKey(5) & 0xFF == 27:
            break
cap.release()