星瞳实验室APP,快速收到回复
  • 我们只解决官方正版的OpenMV的问题(STM32),其他的分支有很多兼容问题,我们无法解决。
  • 如果有产品硬件故障问题,比如无法开机,论坛很难解决。可以直接找售后维修
  • 发帖子之前,请确认看过所有的视频教程,https://singtown.com/learn/ 和所有的上手教程http://book.openmv.cc/
  • 每一个新的提问,单独发一个新帖子
  • 帖子需要目的,你要做什么?
  • 如果涉及代码,需要报错提示全部代码文本,请注意不要贴代码图片
  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • 更换摄像头识别数字就会卡屏?



    • 使用原来的摄像头识别数字没问题,换成新的摄像头后,其他程序都没变,但是运行时就会卡主,需要重新连接USB才能运行,这是为什么?



    • 提供具体的代码,硬件型号,固件版本,我才能测试。



    • # Template Matching Example - Normalized Cross Correlation (NCC)
      #
      # This example shows off how to use the NCC feature of your OpenMV Cam to match
      # image patches to parts of an image... expect for extremely controlled enviorments
      # NCC is not all to useful.
      #
      # WARNING: NCC supports needs to be reworked! As of right now this feature needs
      # a lot of work to be made into somethin useful. This script will reamin to show
      # that the functionality exists, but, in its current state is inadequate.
      
      # Always pass UART 3 for the UART number for your OpenMV Cam.
      # The second argument is the UART baud rate. For a more advanced UART control
      # example see the BLE-Shield driver.
      
      import json
      from pyb import UART
      import time, sensor, image
      from image import SEARCH_EX, SEARCH_DS
      from pyb import UART
      
      uart = UART(3,9600)
      uart.init(9600,bits=8,parity=None,stop=1)
      #while(True):
          #uart.write("Hello World!\r")
          #time.sleep_ms(1000)
      
      
      # Reset sensor
      sensor.reset()
      
      # Set sensor settings
      sensor.set_contrast(1)
      sensor.set_gainceiling(16)
      # Max resolution for template matching with SEARCH_EX is QQVGA
      sensor.set_framesize(sensor.QQVGA)
      # You can set windowing to reduce the search image.
      #sensor.set_windowing(((640-80)//2, (480-60)//2, 80, 60))
      sensor.set_pixformat(sensor.GRAYSCALE)
      # Load template.
      # Template should be a small (eg. 32x32 pixels) grayscale image.
      
      template1 = image.Image("/1.pgm")
      template2 = image.Image("/2.pgm")
      template3 = image.Image("/3.pgm")
      template4 = image.Image("/4.pgm")
      template5 = image.Image("/5.pgm")
      template6 = image.Image("/6.pgm")
      template7 = image.Image("/7.pgm")
      template8 = image.Image("/8.pgm")
      
      clock = time.clock()
      
      # Run template matching
      while (True):
          clock.tick()
          img = sensor.snapshot()
      
          # find_template(template, threshold, [roi, step, search])
          # ROI: The region of interest tuple (x, y, w, h).
          # Step: The loop step used (y+=step, x+=step) use a bigger step to make it faster.
          # Search is either image.SEARCH_EX for exhaustive search or image.SEARCH_DS for diamond search
          #
          # Note1: ROI has to be smaller than the image and bigger than the template.
          # Note2: In diamond search, step and ROI are both ignored.
      
      
          r1 = img.find_template(template1, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r1:
              img.draw_rectangle(r1)
              print(1)
              uart.write("1")
              a=1
      
          r2 = img.find_template(template2, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r2:
              img.draw_rectangle(r2)
              print(2)
              uart.write("2")
              a=2
      
          r3 = img.find_template(template3, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r3:
              img.draw_rectangle(r3)
              print(3)
              uart.write("3")
              a=3
      
          r4 = img.find_template(template4, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r4:
              img.draw_rectangle(r4)
              print(4)
              uart.write("4")
              a=4
      
          r5 = img.find_template(template5, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r5:
              img.draw_rectangle(r5)
              print(5)
              uart.write("5")
              a=5
      
          r6 = img.find_template(template6, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r6:
              img.draw_rectangle(r6)
              print(6)
              uart.write("6")
              a=6
      
          r8 = img.find_template(template1, 0.40, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r8:
              img.draw_rectangle(r8)
              print(8)
              uart.write("8")
              a=8
      
          r7 = img.find_template(template7, 0.70, step=4, search=SEARCH_EX) #, roi=(10, 0, 60, 60))
          if r7:
              img.draw_rectangle(r7)
              print(7)
              uart.write("7")
              a=7
      
              while(True):
                  output = json.dumps(a) 
                  print(output) 
                  uart.write(output)
      


    • 摄像头是H7 R1的



    • 你最后有一个死循环,永远跳不出。



    • 问题是我#之后显示indentationerror咋 解决



    • @kidswong999 噢解决了感谢!