Python环境配置

"""

演示Demo

"""

# 导入 opencv

import cv2

import numpy as np

import math

# 导入 mediapipe：https://google.github.io/mediapipe/solutions/hands

import mediapipe as mp

mp_drawing = mp.solutions.drawing_utils

mp_drawing_styles = mp.solutions.drawing_styles

mp_hands = mp.solutions.hands

hands = mp_hands.Hands(

    model_complexity=0,

    min_detection_confidence=0.5,

    min_tracking_confidence=0.5)

# 读取视频流

cap = cv2.VideoCapture(0)

# 获取画面宽度、高度

width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))

height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

while True:

    ret,frame = cap.read()

    # 镜像

    frame = cv2.flip(frame,1)

    frame.flags.writeable = False

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

    # 识别

    results = hands.process(frame)

    frame.flags.writeable = True

    frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)

    # 如果有结果

    if results.multi_hand_landmarks:

        # 遍历双手

        for hand_landmarks in results.multi_hand_landmarks:

            mp_drawing.draw_landmarks(

                frame,

                hand_landmarks,

                mp_hands.HAND_CONNECTIONS,

                mp_drawing_styles.get_default_hand_landmarks_style(),

                mp_drawing_styles.get_default_hand_connections_style())

    # 显示画面

    cv2.imshow('demo',frame)

    if cv2.waitKey(10) & 0xFF == ord('q'):

        break

cap.release()

cv2.destroyAllWindows()