# title

[google](/OAj9LOImRhCu4A10MhfE2g)

# quote

1.qew
2.weqwq
3.dsajidosaj

# List
hi
a
dsadsa

*body*
**ewqe**

<font color= 'red'>body</font>

weqweqw

# -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 13 13:51:44 2021

@author: user
"""

import cv2
import mediapipe as mp
import time
import random as rd
import time as t

md = mp.solutions.pose
pose= md.Pose()
mpDraw = mp.solutions.drawing_utils

cap = cv2.VideoCapture(0 , cv2.CAP_DSHOW)
cap.set(3, 1024)
cap.set(4, 768)
cx1,cy1=0,0
r= 30

is1 = False
atime = t.time()
ctime = t.time()

link = None
rlink = None

def isinside(cx,cy,r,x,y):
    dis = ((cx - x)**2 + (cy - y)**2) ** 0.5
    if dis <= r:
        return True
    else:
        return False

while True:
    success, img = cap.read()
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = pose.process(imgRGB)
    img = cv2.flip(img, 1)
    
    if results.pose_landmarks:
        mpDraw.draw_landmarks(img, results.pose_landmarks,md.POSE_CONNECTIONS)

        llink = results.pose_landmarks.landmark[19]
        x,y = llink.x ,llink.y
        h,w = img.shape
        x = int(x* w)
        y = int(y*h)
        def isinside(cx,cy,r,x,y):
            is1 = False
        nose = results.pose_landmarks.landmark[0]
        
        # 取得 x 及 y
        x, y = nose.x, nose.y
        
        # 取得影像的寬,高,chanel
        #h = 高 , w = 寬 , _ = chanel,表示_代表不在意
        h,w,_ = img.shape
        # mediapipe 所取得的 x and y 是正規化過的
        # 底下的程式碼將其反正規化，這樣才得到真正的座標
        cx=int(x*w)
        cy=int(y*h)
        
        # 畫圓
        cv2.circle(img, (cx,cy), 10, (0,0,255), -1)
        
    if is1 == False:
        cx1 = rd.randint(0, 100)
        cy1 = rd.randint(0, 100)
        is1 = True
        atime = t.time()
        cv2.circle(img, (cx1,cy1),r, (125,125,0) , -1) 
    else:
        cv2.circle(img, (cx1,cy1),r, (125,125,0) , -1)
        ctime = t.time()
        if ctime - atime >= 2:
            is1 = False
        
        
    cv2.imshow('image', img)
    
    if cv2.waitKey(5) == ord('q'):
        break
    
cap.release()
cv2.destroyAllWindows()

$x^2 +y_{ij}^3 = 6\times 18$

****