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  • 对比度比较低识别率大幅下降怎么办?



    • 0_1573g

      import sensor, image, time
      
      sensor.reset()
      sensor.set_pixformat(sensor.GRAYSCALE) # grayscale is faster
      sensor.set_framesize(sensor.QVGA)
      sensor.skip_frames(time = 2000)
      clock = time.clock()
      
      while(True):
          clock.tick()
          img = sensor.snapshot().lens_corr(1.2)
      
          # Circle objects have four values: x, y, r (radius), and magnitude. The
          # magnitude is the strength of the detection of the circle. Higher is
          # better...
      
          # `threshold` controls how many circles are found. Increase its value
          # to decrease the number of circles detected...
      
          # `x_margin`, `y_margin`, and `r_margin` control the merging of similar
          # circles in the x, y, and r (radius) directions.
      
          # r_min, r_max, and r_step control what radiuses of circles are tested.
          # Shrinking the number of tested circle radiuses yields a big performance boost.
      
          for c in img.find_circles(threshold = 3500, x_margin = 15, y_margin = 15, r_margin = 15,
                  r_min = 2, r_max = 100, r_step = 2):
              img.draw_circle(c.x(), c.y(), c.r()+2, color = (255, 0, 0))
              print(c)
      
          print("FPS %f" % clock.fps())
      
      


    • 加一个灯,用于照明。