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    dc3i

    @dc3i

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    • 单个颜色识别,怎么把识别结果通过0/1的形式传递出来(0区域内没指定颜色,1区域内有指定颜色),而不是输出FPS
      import sensor
      import time
      import math
      
      # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
      # The below thresholds track in general red/green things. You may wish to tune them...
      thresholds = [
          (
              30,
              100,
              15,
              127,
              15,
              127,
          ),  # generic_red_thresholds -> index is 0 so code == (1 << 0)
          (30, 100, -64, -8, -32, 32),
      ]  # generic_green_thresholds -> index is 1 so code == (1 << 1)
      # Codes are or'ed together when "merge=True" for "find_blobs".
      
      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" must be set to merge overlapping color blobs for color codes.
      
      while True:
          clock.tick()
          img = sensor.snapshot()
          for blob in img.find_blobs(
              thresholds, pixels_threshold=20, area_threshold=20, merge=True
          ):
              img.draw_rectangle (blob.rect())
              img.draw_cross (blob.cx(),blob.cy())
      print(clock.fps())
      
      发布在 OpenMV Cam
      D
      dc3i