已经把代码重新发了给你。

import sensor, image, time, math
from pyb import UART
import json
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.VGA)
sensor.set_windowing((640, 80))
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)
clock = time.clock()
uart = UART(3,4800)
def barcode_name(code):
if(code.type() == image.EAN2):
return "EAN2"
if(code.type() == image.EAN5):
return "EAN5"
if(code.type() == image.EAN8):
return "EAN8"
if(code.type() == image.UPCE):
return "UPCE"
if(code.type() == image.ISBN10):
return "ISBN10"
if(code.type() == image.UPCA):
return "UPCA"
if(code.type() == image.EAN13):
return "EAN13"
if(code.type() == image.ISBN13):
return "ISBN13"
if(code.type() == image.I25):
return "I25"
if(code.type() == image.DATABAR):
return "DATABAR"
if(code.type() == image.DATABAR_EXP):
return "DATABAR_EXP"
if(code.type() == image.CODABAR):
return "CODABAR"
if(code.type() == image.CODE39):
return "CODE39"
if(code.type() == image.PDF417):
return "PDF417"
if(code.type() == image.CODE93):
return "CODE93"
if(code.type() == image.CODE128):
return "CODE128"
while(True):
clock.tick()
img = sensor.snapshot()
codes = img.find_barcodes()
for code in codes:
img.draw_rectangle(code.rect())
print_args = (barcode_name(code), code.payload(), (180 * code.rotation()) / math.pi, code.quality(), clock.fps())
print("Barcode %s, Payload "%s", rotation %f (degrees), quality %d, FPS %f" % print_args)
if not codes:
print("FPS %f" % clock.fps())
uart.write（ code.payload）
time.sleep(1000)

调整排列后，又出现NameError:name' code' is not defined

报SyntaxError:invalid syntax

来自星瞳实验室APP: image — 机器视觉 — MicroPython 1.9.2 文档https://docs.singtown.com/micropython/zh/latest/openmvcam/library/omv.image.html?highlight=qrcode#id19 还是报错啊

Openmv已经读取了条形码了，但是无法将payload“％S”调取出来（用串口形试)

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)

我想MV模块检查出有我想要的颜色，模块的P1口有l0信号

我想MV确认到黄色就P1有电，绿色就P2有电，红色就P3……。

例程讲解10-Color-Tracking->multi_color_blob_tracking多颜色跟踪

多颜色跟踪示例

这个例子显示了使用OpenMV的多色跟踪。

import sensor, image, time

颜色跟踪阈值(L Min, L Max, A Min, A Max, B Min, B Max)

下面的阈值跟踪一般红色/绿色的东西。你不妨调整他们...

thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
(30, 100, -64, -8, -32, 32), # generic_green_thresholds
(0, 15, 0, 40, -80, -20)] # generic_blue_thresholds

不要超过16个颜色阈值

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must be turned off for color tracking
sensor.set_auto_whitebal(False) # must be turned off for color tracking
clock = time.clock()

只有比“pixel_threshold”多的像素和多于“area_threshold”的区域才被

下面的“find_blobs”返回。 如果更改相机分辨率，

请更改“pixels_threshold”和“area_threshold”。 “merge = True”合并图像中所有重叠的色块。

while(True):
clock.tick()
img = sensor.snapshot()
for blob in img.find_blobs(thresholds, pixels_threshold=200, area_threshold=200):
img.draw_rectangle(blob.rect())
img.draw_cross(blob.cx(), blob.cy())
print(clock.fps())