import sensor, image, time, lcd, pyb

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
clock = time.clock()
lcd.init() # Initialize the lcd screen.

while(True):
    clock.tick()
    img = sensor.snapshot()


    for i in range(10):
        x = (pyb.rng() % (2*img.width())) - (img.width()//2)
        y = (pyb.rng() % (2*img.height())) - (img.height()//2)
        r = (pyb.rng() % 127) + 128
        g = (pyb.rng() % 127) + 128
        b = (pyb.rng() % 127) + 128


    img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
    for code in img.find_qrcodes():
        img.draw_rectangle(code.rect(), color = (255, 0, 0))
        print(code)
        img.draw_string(x, y, code.payload(), color = (255, 0, 0), scale = 5, mono_space = False)

    lcd.display(img)
    print(clock.fps())

如扫描的二维码内容是“123”，如何使LCD屏幕显示出“123”？

lcd里只有一个方法lcd.display（img）.我现在想让lcd显示一组字符串code.paylaod（）。具体应该怎么操作呢？是要在lcd里添加新的方法吗？

用草料二维码生成新的二维码，然后运行太调试，二维码简单的可以扫描出来，二维码复杂的就扫描不出来了，想问下这是因为程序 需要改动的原因还是openmv摄像头的精度不够呀？

# 二维码例程
#
# 这个例子展示了OpenMV Cam使用镜头校正来检测QR码的功能（请参阅qrcodes_with_lens_corr.py脚本以获得更高的性能）。
import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565)#色彩格式
sensor.set_framesize(sensor.QVGA)#分辨率大小
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)  # 必须关闭此功能，以防止图像冲洗…
clock = time.clock()

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。
    for code in img.find_qrcodes():
        img.draw_rectangle(code.rect(), color = (255, 0, 0))
        message=code.payload()
        print(message)
    print(clock.fps())

大家好，我使用的是OpenMv3 M7版本的摄像头，我按照教程里的程序copy到IDE中，按照教程推荐的网页生成了二维码，然后让摄像头去识别，但是似乎并没有什么反应。这是怎么回事呢？我之刚才使用特征点识别的例程就没有问题可以成功运行，但现在不晓得为什么
import sensor, image

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA) # can be QVGA on M7...
sensor.skip_frames(30)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
while(True):
img = sensor.snapshot()
img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
for code in img.find_qrcodes():
print(code)

import sensor, image

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA) # can be QVGA on M7...
sensor.skip_frames(30)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
while(True):
img = sensor.snapshot()
img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
for code in img.find_qrcodes():
print(code)

主要想解决二维码提取信息的时候 提取出 payload对应的信息

AttributeError: 'qrcode' object has no attribute 'get' 报错

代码
import sensor, image

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA) # can be QVGA on M7...
sensor.skip_frames(30) # 修改sensor配置之后， 跳过30帧
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
while(True):
img = sensor.snapshot()
img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
for code in img.find_qrcodes():
print(code.get("payload"))

import sensor, image, time,lcd

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
clock = time.clock()

while(True):
    clock.tick()
    img = sensor.snapshot()
    img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
    for code in img.find_qrcodes():
        img.draw_rectangle(code.rect(), color = (255, 0, 0))
        message = code.payload()
        img.draw_string(message)
        lcd.display(img)
        print(code)
    print(clock.fps())

怎么将Openmv识别的二维码显示在lcd上面，请问我该怎么改呢
代码：import sensor, image
import lcd
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA2) # can be QVGA on M7...
sensor.skip_frames(30)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
lcd.display(code.payload())
while(True):
img = sensor.snapshot()
img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
for code in img.find_qrcodes():
print(code.payload())

如图所示，

# QRCode Example
#
# This example shows the power of the OpenMV Cam to detect QR Codes
# using lens correction (see the qrcodes_with_lens_corr.py script for higher performance).

import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
sensor.set_auto_exposure(False, 9000)#这里设置曝光时间
clock = time.clock()

while(True):
    clock.tick()
    img = sensor.snapshot()
    img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
    for code in img.find_qrcodes():
        img.draw_rectangle(code.rect(), color = (255, 0, 0))
        print(code)

请问是什么情况呢

OpenMv找到二维码后我想对二维码进行分块处理，要怎么把找到的二维码分成四块？