先进行口罩识别在进行二维码识别 但是在口罩识别完成之后没法进行二维码识别，请问下程序代码有什么问题吗

[rhg6]

# Edge Impulse - OpenMV Image Classification Example

import sensor, image, time, os, tf,pyb
from pyb import Pin

sensor.reset()                         # Reset and initialize the sensor. 重置感光元件
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE) 设置感光元件图像的色彩
sensor.set_framesize(sensor.QVGA)      # Set frame size to QVGA (320x240) 设置感光元件分辨率大小
sensor.set_windowing((240, 240))       # Set 240x240 window.
sensor.skip_frames(time=2000)          # Let the camera adjust. 图像跳过几帧使以上设置生效
sensor.set_auto_gain(False)            # 必须关闭此功能，以防止图像冲洗…

pin8 = Pin('P8', Pin.OUT_PP, Pin.PULL_NONE)

net = "trained.tflite"
labels = [line.rstrip('\n') for line in open("labels.txt")]

mask=False

led = pyb.LED(2) # Red LED = 1, Green LED = 2, Blue LED = 3, IR LEDs = 4.
usb = pyb.USB_VCP() # This is a serial port object that allows you to

clock = time.clock() #设置时钟
while(True):
    clock.tick()

    img = sensor.snapshot()
    img.lens_corr(1.8) # 1.8的强度参数对于2.8mm镜头来说是不错的。 软件畸变矫正
    if mask==False :
          for obj in tf.classify(net, img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
            print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
            img.draw_rectangle(obj.rect())
            # This combines the labels and confidence values into a list of tuples
            predictions_list = list(zip(labels, obj.output()))
            for i in range(len(predictions_list)):
                print("%s = %f" % (predictions_list[i][0], predictions_list[i][1]))
                if predictions_list[1][1] > 0.5 : #mask>0.5 戴口罩时，灯亮，蜂鸣器不响
                        led.on()
                        pin8.value(0)  #蜂鸣器不响
                        print ("请进行二维码识别")
                        mask==True

                else :         #不戴口罩时，蜂鸣器响，灯不亮
                        led.off()
                        pin8.value(1)  #蜂鸣器响
            if   led.on()and print ("请进行二维码识别") :
                 mask==True
            if mask==True :
                    for code in img.find_qrcodes():
                            img.draw_rectangle(code.rect(), color = (255, 0, 0))
                            message=code.payload()
                            print(message)
                            if message == "健康":
                                 led.on()
                                 pin8.value(0)  #绿灯亮 蜂鸣器不响       #蜂鸣器8 LED7
                                 print("进行体温监测")
                                # return True
                                # pin7.value(1)
                            else :
                                 led.off()
                                 pin8.value(1)  #蜂鸣器响
                                # pin7.value(0)  #灯

[kidswong999]

你这个面条代码，我没法测试。估计就是哪里的逻辑有问题，多打印中间计算结果。