• 免费好用的星瞳AI云服务上线!简单标注,云端训练,支持OpenMV H7和OpenMV H7 Plus。可以替代edge impulse。 https://forum.singtown.com/topic/9519
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  • 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。
  • 为什么显示我错误,求大神解答?



    • #
      # 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 environments
      # 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 remain to show
      # that the functionality exists, but, in its current state is inadequate.
      
      import time
      import sensor
      import image
      from image import SEARCH_EX
      # from image import SEARCH_DS
      
      # 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.
      templates=["/1.pgm","/2.pgm","/3.pgm","/4.pgm","/5.pgm","/6.pgm","/7.pgm","/8.pgm","/9.pgm","/0.pgm"]
      
      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")
      template9 = image.Image("/9.pgm")
      template0 = image.Image("/0.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(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r1)
      
          r2 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r2)
      
          r3 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r3)
      
          r4 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r4)
      
          r5 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r5)
      
          r6 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r6)
      
          r7 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r7)
      
          r8 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r8)
      
          r9 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r9)
      
          r0 = img.find_template(template, 0.70, step=4, search=SEARCH_EX)  # , roi=(10, 0, 60, 60))
          if r:
              img.draw_rectangle(r0)
      
              print(clock.fps())
      
      请在这里粘贴代码
      

      0_1712912094702_屏幕截图 2024-04-12 165419.png



    • 你没有把模板图片放到OpenMV的磁盘里。
      另外多模板匹配用这个代码:
      https://book.openmv.cc/image/mulity-template-match.html



    • 0_1712994702361_e01e5c07-f50b-4310-a447-48a21727f6d0-image.png
      放进去了还是显示could not find the file
      0_1712994773720_9df1e293-9946-4822-93da-db2ebd2bde4a-image.png



    • @kidswong999 我如果想同时识别出来多个数字应该怎么解决呢