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  • 特征点检测例程一直报错咋办呢?是怎呢回事?



    • # Object tracking with keypoints example.
      # Show the camera an object and then run the script. A set of keypoints will be extracted
      # once and then tracked in the following frames. If you want a new set of keypoints re-run
      # the script. NOTE: see the docs for arguments to tune find_keypoints and match_keypoints.
      import sensor, time, image
      
      # Reset sensor
      sensor.reset()
      
      # Sensor settings
      sensor.set_contrast(3)
      sensor.set_gainceiling(16)
      sensor.set_framesize(sensor.VGA)#在这里报错  ValueError: Failed to set framesize!
      sensor.set_windowing((320, 240))
      sensor.set_pixformat(sensor.GRAYSCALE)
      
      sensor.skip_frames(time = 2000)
      sensor.set_auto_gain(False, value=100)
      
      def draw_keypoints(img, kpts):
          if kpts:
              print(kpts)
              img.draw_keypoints(kpts)
              img = sensor.snapshot()
              time.sleep(1000)
      
      kpts1 = None
      # NOTE: uncomment to load a keypoints descriptor from file
      #kpts1 = image.load_descriptor("/desc.orb")
      #img = sensor.snapshot()
      #draw_keypoints(img, kpts1)
      
      clock = time.clock()
      while (True):
          clock.tick()
          img = sensor.snapshot()
          if (kpts1 == None):
              # NOTE: By default find_keypoints returns multi-scale keypoints extracted from an image pyramid.
              kpts1 = img.find_keypoints(max_keypoints=150, threshold=10, scale_factor=1.2)
              draw_keypoints(img, kpts1)
          else:
              # NOTE: When extracting keypoints to match the first descriptor, we use normalized=True to extract
              # keypoints from the first scale only, which will match one of the scales in the first descriptor.
              kpts2 = img.find_keypoints(max_keypoints=150, threshold=10, normalized=True)
              if (kpts2):
                  match = image.match_descriptor(kpts1, kpts2, threshold=85)
                  if (match.count()>10):
                      # If we have at least n "good matches"
                      # Draw bounding rectangle and cross.
                      img.draw_rectangle(match.rect())
                      img.draw_cross(match.cx(), match.cy(), size=10)
      
                  print(kpts2, "matched:%d dt:%d"%(match.count(), match.theta()))
                  # NOTE: uncomment if you want to draw the keypoints
                  #img.draw_keypoints(kpts2, size=KEYPOINTS_SIZE, matched=True)
      
          # Draw FPS
          img.draw_string(0, 0, "FPS:%.2f"%(clock.fps()))
      
      


    • 求解答啊······



    • 找到解决方法了,更新IDE和固件到最新就可以了!更新可能要VPN。