123 lines
3.3 KiB
Python
123 lines
3.3 KiB
Python
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'''
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功能描述
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'''
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import math
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import sensor, image, time, lcd
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import binascii
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from Maix import GPIO
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from machine import Timer, PWM, UART, Timer
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from fpioa_manager import fm
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#--------------感光芯片配置 START -------------------
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DISTORTION_FACTOR = 1.5 # 设定畸变系数
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def init_sensor():
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'''
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初始化感光芯片
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'''
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lcd.init(freq=15000000) #初始化LCD
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sensor.reset() #复位和初始化摄像头，执行sensor.run(0)停止。
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sensor.set_vflip(1) #将摄像头设置成后置方式（所见即所得）
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# sensor.set_pixformat(sensor.RGB565) # 设置像素格式为彩色 RGB565
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sensor.set_pixformat(sensor.GRAYSCALE) # 设置像素格式为灰色
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sensor.set_framesize(sensor.QVGA) # 设置帧大小为 QVGA (320x240)
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sensor.skip_frames(time = 2000) # 等待设置生效.
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clock = time.clock() # 创建一个时钟来追踪 FPS（每秒拍摄帧数）
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init_sensor()
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#--------------感光芯片配置 END -------------------
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#--------------串口UART部分 START -------------------
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#映射串口引脚
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fm.register(6, fm.fpioa.UART1_RX, force=True)
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fm.register(7, fm.fpioa.UART1_TX, force=True)
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#初始化串口
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uart = UART(UART.UART1, 115200, read_buf_len=4096)
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def get_symbol(num):
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'''
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根据数值正负，返回数值对应的符号
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正数： ‘+’， 负数‘-’ 主要为了方便C语言解析待符号的数值。
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'''
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if num >=0:
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return ord('+')
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else:
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return ord('-')
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def UsartSend(str_data):
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'''
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串口发送函数
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'''
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uart.write(str_data)
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#--------------串口UART部分 END -------------------
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#--------------二维码识别部分 START -------------------
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def QR_Check():
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'''
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二维码函数
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'''
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res = img.find_qrcodes() # 寻找二维码
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if len(res) > 0: # 在图片和终端显示二维码信息
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img.draw_rectangle(res[0].rect())
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img.draw_string(2,2, res[0].payload(), color=(0,128,0), scale=2)
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print(res[0].payload())
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uart.write(bytes([0x55]))
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uart.write(bytes([0x92]))
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uart.write(bytes([0x01]))
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uart.write(bytes([len(res[0].payload())]))
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for qrdata in res[0].payload():
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uart.write(bytes([ord(qrdata)]))
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#print(chr(ord(qrdata)))
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uart.write(bytes([0xbb]))
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#--------------二维码识别部分 END -------------------
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#---------------------MAIN-----------------------
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#将蓝灯引脚IO12配置到GPIO0，K210引脚支持任意配置
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fm.register(12, fm.fpioa.GPIO0)
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LED_B = GPIO(GPIO.GPIO0, GPIO.OUT) #构建LED对象
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while True:
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LED_B.value(0) #点亮LED
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# 串口数据接收判断
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data = uart.read(8)
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if data is not None:
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print(data)
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print(len(data))
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print(binascii.hexlify(data).decode('utf_8'))
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if(len(data) >= 8):
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if((data[1] == 0x02)&(data[7] == 0xBB)):
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if(data[2] == 0x92):
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print("识别二维码")
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if(data[3] == 0x01):
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print("开始识别")
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if(data[3] == 0x02):
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print("停止识别")
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# 拍摄图片
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img = sensor.snapshot()
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# 去除图像畸变
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img.lens_corr(DISTORTION_FACTOR)
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# 二维码识别
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QR_Check()
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# 在LCD上显示
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lcd.display(img)
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