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  • 识别色块跟tof光学测距拓展板联合使用后读取距离的问题



    • 通过看教程将两个示例合并使用,但是想实现识别到色块然后才读取距离,然后串口再将距离发送给stm32,大佬,麻烦帮忙修改一下代码,惯我一次,我在咱家已经买了两个摄像头跟一大堆元件了。

      import sensor, image, time, math
      
      threshold_index = 0 # 0 for red, 1 for green, 2 for blue
      
      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
      from machine import I2C
      from vl53l1x import VL53L1X
      import 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()
      
      i2c = I2C(2)
      distance = VL53L1X(i2c)
      
      # 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]],roi=(150,90,80,80), 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(clock.fps())
      
          print("range: mm ", distance.read())
          time.sleep_ms(50)
      
      


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    • @kidswong999

      大佬,惯我一次吧,真的在咱家买了好多东西



    • 大概就是这个意思:

      while(True):
          clock.tick()
          img = sensor.snapshot()
          blobs = img.find_blobs()
          if blobs:
              d = distance.read()
              uart.write(str(d))
          for b in blobs:
              xxx