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main.py
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main.py
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import cv2
import numpy as np
import serial
import time
#端口，GNU / Linux上的/ dev / ttyUSB0 等 或 Windows上的 COM3 等
portx="COM8"
#波特率，标准值之一：50,75,110,134,150,200,300,600,1200,1800,2400,4800,9600,19200,38400,57600,115200
bps=115200
#超时设置,None：永远等待操作，0为立即返回请求结果，其他值为等待超时时间(单位为秒）
timex=5
# 打开串口，并得到串口对象
ser=serial.Serial(portx,bps,timeout=timex)
flag_x=-1 # max=188
flag_y=0 # max=120
flag_ok=0
count=0
text1=b'm'
img = np.zeros([120, 188], np.uint8)
cv2.namedWindow("enhanced",0);
cv2.resizeWindow("enhanced", 640, 480);
#
# # 读取图片。
# img = cv2.imread("2.jpg");
# # 转成灰度图片
# img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY);
# # 二值化
# ret,img=cv2.threshold(img, 127, 255, cv2.THRESH_BINARY);
#
#
#
#
temp3=''
while True:
#print('ok')
if ser.in_waiting:
temp = ser.read()
if temp==text1:
temp4 = 0
#print(temp)
temp3 = ''
temp2=ser.read(2820).hex()
for i in temp2:
temp5=bin(int(i, 16))[2:]
temp3+=temp5.zfill(4)
print(len(temp3))
for i in range(len(img)):
for j in range(len(img[i])):
#print(lists[i][j])
if temp3[temp4]=='1':
img[i][j] = 255
else:
img[i][j] = 0
temp4+=1
print(img)
cv2.imshow("enhanced", img)
cv2.waitKey(300)
#print(temp3)
#print(temp)
# if temp==text1:
# print('ok')
# flag_x = -1
# flag_y = 0
# else:
#
# temp = temp.hex()
# #print(temp)
# temp1 = '{:08b}'.format(int(temp, 16))
# temp1 = temp1[::-1]
# if count==23:
# for i in range(4):
# if temp1[i] == '0':
# flag_x += 1
# img[flag_y][flag_x] = 0
#
# elif temp1[i] == '1':
# flag_x += 1
# img[flag_y][flag_x] = 255
# else:
# for i in range(8):
# if temp1[i] == '0':
# flag_x += 1
# img[flag_y][flag_x] = 0
#
# elif temp1[i] == '1':
# flag_x += 1
# img[flag_y][flag_x] = 255
#
# count += 1
# if count == 24:
# count = 0
# flag_x = -1
# flag_y += 1
#
# else:
# cv2.imshow("enhanced", img)
# cv2.waitKey(300)
#print('{:08b}'.format(int(temp, 16)))
# if temp=='0f':
# flag_ok=1
# print('输出图片')
# if temp=='02':
# flag_ok=2
# flag_x=-1
# flag_y=0
# print('reset')
# if flag_ok == 1:
#
# if temp == 'ff':
# flag_x += 1
# img[flag_y][flag_x]=255
# print(1)
# elif temp == '00':
# flag_x += 1
# img[flag_y][flag_x] = 0
# print(2)
# if flag_x == 187:
# flag_y += 1
# flag_x = -1
# else:
# cv2.imshow("enhanced", img)
# cv2.waitKey(300)
# 读取图片。
#img = cv2.imread("2.jpg");
# 转成灰度图片
#img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY);
# 二值化
#ret,img=cv2.threshold(img, 127, 255, cv2.THRESH_BINARY);
#img=[[0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0],[255,255,251,251,251,251,251,251,251,251],[255,255,251,251,251,251,251,251,251,251],[255,255,251,251,251,251,251,251,251,251],[255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251],[255,255,251,251,251,251,251,251,251,251],[255,255,251,251,251,251,251,251,251,251],[255,255,251,251,251,251,251,251,251,251]]
# img = np.zeros([20, 10], np.uint8)
# cv2.imshow("title", img);
# # # 进程不结束，一直保持显示状态
# cv2.waitKey(100);
#
# #销毁所有窗口
# cv2.destroyAllWindows();
# img=np.array([[0,0,0,0,0,0,0,0,0,0],
# [0,0,0,0,0,0,0,0,0,0],
# [255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251],
# [255,255,251,251,251,251,251,251,251,251]])
#img[0]=[255,255,251,251,251,251,251,251,251,251]
# img[2]=[255,255,251,251,251,251,251,251,251,251]
# img[3]=[255,255,251,251,251,251,251,251,251,251]
# img[4]=[255,255,251,251,251,251,251,251,251,251]
# img[5]=[255,255,251,251,251,251,251,251,251,251]
# img[6]=[255,255,251,251,251,251,251,251,251,251]
# img[7]=[255,255,251,251,251,251,251,251,251,251]
# img[8]=[255,255,251,251,251,251,251,251,251,251]
# img[9]=[255,255,251,251,251,251,251,251,251,251]
# img[10]=[255,255,251,251,251,251,251,251,251,251]
# # 显示图像
# print(img)
#cv2.imshow("title", img);
# 进程不结束，一直保持显示状态
#cv2.waitKey(1000);
#销毁所有窗口
#cv2.destroyAllWindows();