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  • 关于OpenMV H7的模块识别仪表盘表针角度的问题



    • 大家好,我目前要用OpenMV H7的模块去识别仪表盘表针(类似于汽车上的仪表)的角度,按照官方教程“视频教程4 - 颜色识别:https://singtown.com/learn/49993/”,更改待识别对象的LAB值,可以识别到表针,但blob中的blob.rotation() 返回色块的旋转角度和实际的对不上。请大家帮忙分析一下,另外有没有其他更好的方法或教程可以借鉴的,谢谢!!!



    • This post is deleted!


    • 你提供一下具体的图片,和代码。
      如果涉及代码,需要报错提示与全部代码文本,请注意不要贴代码图片



    • @kidswong999 谢谢,代码就是官方的例程,只不过把色块的LAB值改了一下0_1597762713595_表盘.png



    • 你得发具体的代码,我才能测试。



    • Single Color RGB565 Blob Tracking Example

      This example shows off single color RGB565 tracking using the OpenMV Cam.

      import sensor, image, time, math

      threshold_index = 0 # 0 for red, 1 for green, 2 for blue

      Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)

      The below thresholds track in general red/green/blue things. You may wish to tune them...

      #thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
      # (30, 100, -64, -8, -32, 32), # generic_green_thresholds
      # (0, 30, 0, 64, -128, 0)] # generic_blue_thresholds

      thresholds = [(9, 65, 14, 75, -21, 75), # generic_red_thresholds
      (30, 100, -64, -8, -32, 32), # generic_green_thresholds
      (0, 30, 0, 64, -128, 0)] # generic_blue_thresholds

      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(True):
      clock.tick()
      img = sensor.snapshot()
      for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold=200, area_threshold=200, merge=True):
      # These values depend on the blob not being circular - otherwise they will be shaky.
      # if blob.elongation() > 0.5:
      # img.draw_edges(blob.min_corners(), color=(255,0,0))
      # img.draw_line(blob.major_axis_line(), color=(0,255,0))
      # img.draw_line(blob.minor_axis_line(), color=(0,0,255))
      # These values are stable all the time.
      img.draw_rectangle(blob.rect())
      img.draw_cross(blob.cx(), blob.cy())
      # Note - the blob rotation is unique to 0-180 only.
      # img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)
      print(blob)
      print(clock.fps())



    • 这个指针是对称的,所以没办法直接判断方向。
      你可以通过判断指针在画面的左边和右边,来辅助判断。



    • 玩具而已兄弟何必认真呢?做不了



    • @kidswong999 谢谢