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  • ROI取值float转换成int型怎么做?



    • # Single Color RGB565 Blob Tracking Example
      #
      # This example shows off single color RGB565 tracking using the OpenMV Cam.
      
      import sensor, image, time
      
      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 = [(100, 37, -40, 127, 12, 127)] # generic_red_thresholds
                                                  # generic_green_thresholds
                                                  # generic_blue_thresholds
      threshold2 = [(30, 47, -39, 19, 20, 42)]
      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.
      
      def find_max(blobs):
          max_size=0
          for blob in blobs:
              if blob[2]*blob[3] > max_size:
                  max_blob=blob
                  max_size = blob[2]*blob[3]
          return max_blob
      
      ROI=(0,0,1,1)
      
      while(True):
          clock.tick()
          img = sensor.snapshot()
          blobs = img.find_blobs([thresholds[0]], pixels_threshold=800, area_threshold=800, merge=False)
          if blobs:
                    max_blob = find_max(blobs)  
                    print(max_blob.rect())
                   #img.draw_rectangle(max_blob.rect())
                   #img.draw_cross(max_blob.cx(), max_blob.cy())
                    ROI = max_blob.rect()
                    xc = max_blob.cx()
                    yc = max_blob.cy()
                    x = max_blob.x()
                    y = max_blob.y()
                    xn = xc-(xc-x)*8/10
                    int(xn)
                    yn = yc-(yc-y)*8/10
                    int(yn)
                    wn = (xc-xn)*2
                    int(wn)
                    hn = (yc-yn)*2
                    int(hn)
                    ROI = (xn, yn, wn, hn)
          img.binary(thresholds)
          img.dilate(2, threshold = 10)
          statistics=img.get_statistics(roi=ROI)
          avg = statistics.mean()
          print(avg)
          print(clock.fps())
      


    • int(1.3)

      结果:1



    • 我想把xn,yn变成Int型怎么做?我试了一下int(xn)得到的还是浮点数



    • 浮点数=1.3
      整数=int(浮点数)
      print(整数)