from xgoedu import XGOEDU
import time
#实例化edu
XGO_edu = XGOEDU()
XGO_edu.lcd_text(50,50,'hello',color=(255,0,0),fontsize=50)
time.sleep(2)
import cv2
import numpy as np
# 打开摄像头
cap = cv2.VideoCapture(0)
cap.set(3, 320)
cap.set(4, 240)
while True:
# 读取摄像头中的图像
ret, frame = cap.read()
# 转换颜色空间为HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# 定义蓝色的范围
lower_blue = np.array([110, 50, 50])
upper_blue = np.array([130, 255, 255])
# 根据阈值获取蓝色区域
mask = cv2.inRange(hsv, lower_blue, upper_blue)
# 对原图像和掩模进行位运算
res = cv2.bitwise_and(frame, frame, mask=mask)
# 显示图像
cv2.imshow('frame', frame)
cv2.imshow('mask', mask)
cv2.imshow('res', res)
# 按下q键退出循环
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# 释放资源
cap.release()
cv2.destroyAllWindows()