• 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
  • 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。
  • 为什么使用找圆程序会出现内存问题



    • 截图的话,代码没法执行,https://forum.singtown.com/topic/57/玩转星瞳论坛,根据格式粘贴代码。



    • import sensor, image, time
      
      
      threshold_100 = (44, 52, 33, 58, -2, 19)
      threshold_1 = (39, 59, -13, -2, 7, 23)
      threshold_5 = (23, 52, 1, 30, -16, 5)
      threshold_10 = (44, 78, -7, 9, 11, 4)
      threshold_20 = (31, 49, 9, 30, 3, 13)
      threshold_50 = (40, 67, -26, -6, -3, 15)
      
      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()
      
      # Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
      # returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
      # camera resolution. "merge=True" merges all overlapping blobs in the image.
      
      
      while(1):
          clock.tick()
          img = sensor.snapshot().lens_corr(1.8)
          for blob_100 in img.find_blobs([threshold_100], pixels_threshold = 200, area_threshold = 200, merge = True):
              img.draw_rectangle(blob_100.rect())
              img.draw_cross(blob_100.cx(), blob_100.cy())
              img.draw_string(blob_100.cx(),blob_100.cy(),"100yuan",color = 0)
      
          for blob_20 in img.find_blobs([threshold_20], pixels_theshold = 200, area_threshold = 200, merge = True):
              img.draw_rectangle(blob_20.rect(),color = (255,0,0))
              img.draw_cross(blob_20.cx(), blob_20.cy())
              img.draw_string(blob_20.cx(),blob_20.cy(),"20yuan",color = (255,0,0))
      
          for blob_10 in img.find_blobs([threshold_10], pixels_theshold = 200, area_threshold = 200, merge = True):
              img.draw_rectangle(blob_10.rect(),color = (0,255,0))
              img.draw_cross(blob_10.cx(), blob_10.cy())
              img.draw_string(blob_10.cx(),blob_10.cy(),"10yuan",color = (0,255,0))
      
          for blob_5 in img.find_blobs([threshold_5], pixels_theshold = 200, area_threshold = 200, merge = True):
              img.draw_rectangle(blob_5.rect(),color = (0,0,255))
              img.draw_cross(blob_5.cx(), blob_5.cy())
              img.draw_string(blob_5.cx(),blob_5.cy(),"5yuan",color = (0,0,255))
      
          for blob_1 in img.find_blobs([threshold_1], pixels_theshold = 200, area_threshold = 200, merge = True):
              img.draw_rectangle(blob_1.rect(),color = 0)
              img.draw_cross(blob_1.cx(), blob_1.cy())
              img.draw_string(blob_1.cx(),blob_1.cy(),"1yuan",color = 255)
      
          for blob_50 in img.find_blobs([threshold_50], pixels_theshold = 200, area_threshold = 200, merge = True):
              img.draw_rectangle(blob_50.rect(),color = (0,100,100))
              img.draw_cross(blob_50.cx(), blob_50.cy())
              img.draw_string(blob_50.cx(),blob_50.cy(),"50yuan",color = (0,100,255))
      
          for c in img.find_circles(threshold = 2000, x_margin = 10, y_margin = 10, r_margin = 10):
              img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))
             # print(c)
      
      
        #  print(clock.fps())
          print("FPS %f" % clock.fps())
      
      


    • @kidswong999 请问这代码是哪里出问题了吗



    • @kidswong999 你好,我想知道这个找色块的函数太多然后加上找圆的函数就不行了还是什么原因呢?



    • http://book.openmv.cc/example/09-Feature-Detection/find-circles.html

      find_circles只能使用QQVGA。

      QVGA内存不够。



    • 可是为什么这样又可以呢,这个也是QVGA,难道是因为我单独定义了ROI吗

      
      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 be turned off for color tracking
      sensor.set_auto_whitebal(False) # must be turned off for color tracking
      clock = time.clock()
      
      
      ROI=(240,160,50,50)
      
      threshold_100 = (44, 52, 33, 58, -2, 19)
      
      
      while(True):
          img = sensor.snapshot()        # Take a picture and return the image.
      
          for blob_100 in img.find_blobs([threshold_100], roi = ROI, pixels_threshold = 200, area_threshold = 200, merge = True):
              img.draw_rectangle(blob_100.rect())
              img.draw_cross(blob_100.cx(), blob_100.cy())
              img.draw_string(blob_100.cx(),blob_100.cy(),"100yuan",color = 0)
      
          for c in img.find_circles(roi = ROI, threshold = 2000, x_margin = 10, y_margin = 10, r_margin = 10):
              img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))
              print(c)
      
      
      
      
          img.draw_rectangle(ROI)```


    • 加了ROI,就不会费那么多内存了呗



    • 所以是除了ROI的那个区域其他的部分都不会占用内存的意思吗



    • @kidswong999 那插入SD可以解决此问题吗



    • @towb 插入SD卡不会解决ram内存的问题。