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    mesi 发布的帖子

    • RE: 有线图传显示无法显示xga画质？

      @kidswong999 好的 我寄回去测试吧 感谢大大

      发布在 OpenMV Cam
      M
      mesi
    • RE: 有线图传显示无法显示xga画质？

      @kidswong999 加入压缩图片函数 代入代码后也是无法显示 img.compressed(1)

      发布在 OpenMV Cam
      M
      mesi
    • RE: 有线图传显示无法显示xga画质？

      @kidswong999 请教一下大大，现在图片测试程序是可以到缩放到325x240，可以正常显示，但是代入程序后显示还是卡死，如何解决？

      测试代码

      import sensor, image, time ,tv

sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.XGA)
sensor.skip_frames(time = 2000)

clock = time.clock()
tv.init() # 初始化tv
tv.channel(8) # 用于无线图传扩展板
while(True):
    clock.tick()
    img = sensor.snapshot()
    img.crop(x_size=325, y_size=240)
    tv.display(img)
    print(clock.fps())

      代入代码

      # Barcode Example
#
# This example shows off how easy it is to detect bar codes using the
# OpenMV Cam M7. Barcode detection does not work on the M4 Camera.

import sensor, image, time, math,tv
import time
from pyb import Pin, Timer

# 50kHz pin6 timer2 channel1
#light = Timer(2, freq=50000).channel(1, Timer.PWM, pin=Pin("P6"))
#light.pulse_width_percent(10) # adjust light 0~100

import sensor, image, time
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.XGA) # High Res!
sensor.set_windowing((1000, 400))# V Res of 80 == less work (40 for 2X the speed).
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)  # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False)  # must turn this off to prevent image washout...
clock = time.clock()
tv.init() # 初始化tv
tv.channel(8) # 用于无线图传扩展板
# Barcode detection can run at the full 640x480 resolution of your OpenMV Cam's
# OV7725 camera module. Barcode detection will also work in RGB565 mode but at
# a lower resolution. That said, barcode detection requires a higher resolution
# to work well so it should always be run at 640x480 in grayscale...

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()
    codeh = 0
    y = 10000000
    print(len(codes))
    if (len(codes)>1):
        for code in codes:
            img.draw_rectangle(code.rect())
            y1 =code.y()
            print(y1)
            if(y1<y):
                y = y1
                codeh = code

        if(codeh != ""):
            print_args = (barcode_name(codeh), codeh.payload(), (180 * codeh.rotation()) / math.pi, codeh.quality(), clock.fps())
            print("Barcode %s, Payload \"%s\", rotation %f (degrees), quality %d, FPS %f" % print_args)

    else:
        for code in codes:
            img.draw_rectangle(code.rect())
            codeh = code
            print_args = (barcode_name(codeh), codeh.payload(), (180 * codeh.rotation()) / math.pi, codeh.quality(), clock.fps())
            print("Barcode %s, Payload \"%s\", rotation %f (degrees), quality %d, FPS %f" % print_args)


    #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.crop(x_scale=0.352, y_scale=0.6)
    tv.display(img)


    if not codes:
        print("FPS %f" % clock.fps())
      发布在 OpenMV Cam
      M
      mesi
    • RE: 有线图传显示无法显示xga画质？

      @kidswong999 请教一下大大 openmv有没有类似opencv 的resize函数 我把xga的图像压缩成352x240再显示

      发布在 OpenMV Cam
      M
      mesi
    • RE: 有线图传显示无法显示xga画质？

      @kidswong999 请教一下大大 如果需要外接显示xga需要通过什么方式

      发布在 OpenMV Cam
      M
      mesi
    • RE: 有线图传显示无法显示xga画质？

      @kidswong999请教一下大大 如果需要外接显示xga需要通过什么方式

      发布在 OpenMV Cam
      M
      mesi
    • 有线图传显示无法显示xga画质？

      使用有线图传显示，画质为xga，显示不完整且运行一会就卡死，是硬件不支持吗，需要怎样才能显示xga图像

      
# Barcode Example
#
# This example shows off how easy it is to detect bar codes using the
# OpenMV Cam M7. Barcode detection does not work on the M4 Camera.

import sensor, image, time, math,tv
import time
from pyb import Pin, Timer

# 50kHz pin6 timer2 channel1
#light = Timer(2, freq=50000).channel(1, Timer.PWM, pin=Pin("P6"))
#light.pulse_width_percent(10) # adjust light 0~100

import sensor, image, time
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.XGA) # High Res!
sensor.set_windowing((1000, 400))# V Res of 80 == less work (40 for 2X the speed).
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)  # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False)  # must turn this off to prevent image washout...
clock = time.clock()
tv.init() # 初始化tv
tv.channel(8) # 用于无线图传扩展板
# Barcode detection can run at the full 640x480 resolution of your OpenMV Cam's
# OV7725 camera module. Barcode detection will also work in RGB565 mode but at
# a lower resolution. That said, barcode detection requires a higher resolution
# to work well so it should always be run at 640x480 in grayscale...

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()
    codeh = 0
    y = 10000000
    print(len(codes))
    if (len(codes)>1):
        for code in codes:
            img.draw_rectangle(code.rect())
            y1 =code.y()
            print(y1)
            if(y1<y):
                y = y1
                codeh = code

        if(codeh != ""):
            print_args = (barcode_name(codeh), codeh.payload(), (180 * codeh.rotation()) / math.pi, codeh.quality(), clock.fps())
            print("Barcode %s, Payload \"%s\", rotation %f (degrees), quality %d, FPS %f" % print_args)

    else:
        for code in codes:
            img.draw_rectangle(code.rect())
            codeh = code
            print_args = (barcode_name(codeh), codeh.payload(), (180 * codeh.rotation()) / math.pi, codeh.quality(), clock.fps())
            print("Barcode %s, Payload \"%s\", rotation %f (degrees), quality %d, FPS %f" % print_args)


    #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)
    tv.display(img)
    if not codes:
        print("FPS %f" % clock.fps())
      发布在 OpenMV Cam
      M
      mesi
    • RE: XGA连续识别条形码经常发生卡死现象？

      @kidswong999
      检查了usb接口，然后使用例程里面的条形码 改为xga画质，还是运行一段时间就卡死

      # Barcode Example
#
# This example shows off how easy it is to detect bar codes using the
# OpenMV Cam M7. Barcode detection does not work on the M4 Camera.

import sensor, image, time, math

sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.XGA) # High Res!
#sensor.set_windowing((640, 80)) # V Res of 80 == less work (40 for 2X the speed).
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)  # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False)  # must turn this off to prevent image washout...
clock = time.clock()

# Barcode detection can run at the full 640x480 resolution of your OpenMV Cam's
# OV7725 camera module. Barcode detection will also work in RGB565 mode but at
# a lower resolution. That said, barcode detection requires a higher resolution
# to work well so it should always be run at 640x480 in grayscale...

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())
      发布在 OpenMV Cam
      M
      mesi
    • RE: XGA连续识别条形码经常发生卡死现象？

      @kidswong999 因为摸着很烫

      发布在 OpenMV Cam
      M
      mesi
    • RE: XGA连续识别条形码经常发生卡死现象？

      @kidswong999 现在测试第一次12分钟就断连 重新连接后 几分钟就断连，是不是xga大画面传输 导致温度太高了，然后自己断了 。

      发布在 OpenMV Cam
      M
      mesi
    • RE: XGA连续识别条形码经常发生卡死现象？

      图一为卡死后自动断连的情况

      发布在 OpenMV Cam
      M
      mesi
    • XGA连续识别条形码经常发生卡死现象？

      0_1621925710182_e0a3b8d69877d5096ed8e91e0830bbc.png

      运行一段时间就发生卡死现象，然后直接直接断连，图为断连前打印数据

      0_1621925828959_42c91443-0791-4986-b76d-8faca401670c-image.png

      功能是同时识别二维码和条形码，如果画面有多个条形码，就取最上面一个。

      # Barcode Example
#
# This example shows off how easy it is to detect bar codes using the
# OpenMV Cam M7. Barcode detection does not work on the M4 Camera.

import sensor, image, time, math
import time
from pyb import Pin, Timer

# 50kHz pin6 timer2 channel1
light = Timer(2, freq=50000).channel(1, Timer.PWM, pin=Pin("P6"))
light.pulse_width_percent(50) # adjust light 0~100

import sensor, image, time
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.XGA) # High Res!
sensor.set_windowing((1000, 400))# V Res of 80 == less work (40 for 2X the speed).
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)  # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False)  # must turn this off to prevent image washout...
clock = time.clock()

# Barcode detection can run at the full 640x480 resolution of your OpenMV Cam's
# OV7725 camera module. Barcode detection will also work in RGB565 mode but at
# a lower resolution. That said, barcode detection requires a higher resolution
# to work well so it should always be run at 640x480 in grayscale...

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()
    codeh = 0
    y = 10000000
    print(len(codes))
    if (len(codes)>1):
        for code in codes:
            img.draw_rectangle(code.rect())
            y1 =code.y()
            print(y1)
            if(y1<y):
                y = y1
                codeh = code

        if(codeh != ""):
            print_args = (barcode_name(codeh), codeh.payload(), (180 * codeh.rotation()) / math.pi, codeh.quality(), clock.fps())
            print("Barcode %s, Payload \"%s\", rotation %f (degrees), quality %d, FPS %f" % print_args)

    else:
        for code in codes:
            img.draw_rectangle(code.rect())
            codeh = code
            print_args = (barcode_name(codeh), codeh.payload(), (180 * codeh.rotation()) / math.pi, codeh.quality(), clock.fps())
            print("Barcode %s, Payload \"%s\", rotation %f (degrees), quality %d, FPS %f" % print_args)


    #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)
    if not codes:
        print("FPS %f" % clock.fps())
      发布在 OpenMV Cam
      M
      mesi
    • RE: 同时识别条形码二维码用什么镜头好？

      @kidswong999 拉近拍清晰了 也识别不了 由于要同时识别条形码二维码 窗口就调成正方形了 这个会不会影响

      发布在 OpenMV Cam
      M
      mesi
    • RE: 同时识别条形码二维码用什么镜头好？

      @kidswong999 0_1621409363283_a0e85627-408c-4f34-85f3-ba12672be0d6-image.png

      设置为XGA 距离16cm

      发布在 OpenMV Cam
      M
      mesi
    • RE: 同时识别条形码二维码用什么镜头好？

      @kidswong999 条形码远距离好像识别不了 调成xga了

      发布在 OpenMV Cam
      M
      mesi
    • 同时识别条形码二维码用什么镜头好？

      现在测试效果是无畸变镜头效果好点 焦距为7厘米左右 画面为正常vga大小

      发布在 OpenMV Cam
      M
      mesi
    • 请问识别40-100cm内的条形码 需要用什么样的镜头 条形码约为长7cm 高1cm 用标配镜头和例程调节后无法识别？

      范围在40-100内，不需要自动对焦，多个相机对应一个焦距，请问需要选什么模组和镜头，用得上openmv4h7plus+ov5640+标配镜头

      发布在 OpenMV Cam
      M
      mesi
    • RE: 如果让触发控制识别条形码变得稳定？

      谢谢 突然短路了😂

      发布在 OpenMV Cam
      M
      mesi
    • 如果让触发控制识别条形码变得稳定？

      请教一下大大，我现在设计一个支架固定了openmv相机，目前是通过串口触发拍摄识别条形码，固定条码测试连续触发10次拍摄10张，同样位置拍摄的固定条码，可能只能识别到7次或者8次。但在实际场景中每次条码经过只触发一次，如何提高识别成功率

      循环代码

      while(True):
    #clock.tick()

        img = sensor.snapshot()
        codes = img.find_barcodes()
        for code in codes:
            img.draw_rectangle(code.rect())
            if code.payload() is not None :
                uart3.write(code.payload())
        #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("not codes")
    else:
        img = sensor.snapshot()

      全代码

      import sensor, image, time, math
from pyb import UART
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.VGA) # High Res!
sensor.set_windowing((640, 80)) # V Res of 80 == less work (40 for 2X the speed).
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False)  # must turn this off to prevent image washout...
#sensor.set_auto_whitebal(False)  # must turn this off to prevent image washout...
clock = time.clock()
uart3 = UART(3, 19200,timeout=1000)
uart1 = UART(1, 19200,timeout=1000)
# Barcode detection can run at the full 640x480 resolution of your OpenMV Cam's
# OV7725 camera module. Barcode detection will also work in RGB565 mode but at
# a lower resolution. That said, barcode detection requires a higher resolution
# to work well so it should always be run at 640x480 in grayscale...

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())
            if code.payload() is not None :
                uart3.write(code.payload())
        #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("not codes")
    else:
        img = sensor.snapshot()

      由于是流水线作业，条形码停留时间可能就几秒，所以不能一直拍摄等待识别到条形码再去处理，现在的解决方法是每次触发拍摄3张，识别3次，想请教一下有没有更好的方法提高识别率

      发布在 OpenMV Cam
      M
      mesi
    • RE: openmvh7plus io口输入最高可以接收几v，输出电压是几v？

      @kidswong999 明白了 谢谢

      发布在 OpenMV Cam
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      mesi