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  • 边缘检测的不兼容性问题



    • 想对经过【边缘检测】处理后得到的图片进行【特征点保存】,但是运行代码时,【边缘检测】只能进行一次,无法循环,而【特征点保存】可以一直循环检测下去。想让【边缘检测】和【特征点保存】一起循环运行,

      import sensor, time, image
      
      sensor.reset()
      
      sensor.set_contrast(3)
      sensor.set_gainceiling(16)
      sensor.set_framesize(sensor.VGA)
      sensor.set_windowing((320, 240))
      sensor.set_pixformat(sensor.GRAYSCALE)
      
      sensor.skip_frames(time = 2000)
      sensor.set_auto_gain(False, value=100)
      
      FILE_NAME = "666"
      img = sensor.snapshot()
      kernel_size = 1 # kernel width = (size*2)+1, kernel height = (size*2)+1
      kernel = [-1, -1, -1,\
                -1, +8, -1,\
                -1, -1, -1]
      thresholds = [(100, 255)] # grayscale thresholds设置阈值
      
      clock = time.clock() # 追踪FPS
      
      if (sensor.get_id() == sensor.OV7725):
          sensor.__write_reg(0xAC, 0xDF)
          sensor.__write_reg(0x8F, 0xFF)
      
      while(True):
          clock.tick() # Track elapsed milliseconds between snapshots().
          img = sensor.snapshot() # Take a picture and return the image.
      
          img.morph(kernel_size, kernel)
          img.binary(thresholds)
          img.erode(1, threshold = 2)
          print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while
          time.sleep(100)
          
          kpts = img.find_keypoints(max_keypoints=150, threshold=10, scale_factor=1.2)
          if (kpts == None):
              raise(Exception("Couldn't find any keypoints!"))
          
          image.save_descriptor(kpts, "/%s.orb"%(FILE_NAME))
          
          img.draw_keypoints(kpts)
          sensor.snapshot()
      

      代码该怎么改?谢谢



    • 最开始的sensor.__write_reg添加了之后,sensor的图像不能更新。
      最后一行sensor.snapshot()是什么用?

      我注释掉了这两个。

      以下的代码是可以的。

      import sensor, time, image
      
      sensor.reset()
      
      sensor.set_contrast(3)
      sensor.set_gainceiling(16)
      sensor.set_framesize(sensor.VGA)
      sensor.set_windowing((320, 240))
      sensor.set_pixformat(sensor.GRAYSCALE)
      
      sensor.skip_frames(time = 2000)
      sensor.set_auto_gain(False, value=100)
      
      FILE_NAME = "666"
      img = sensor.snapshot()
      kernel_size = 1 # kernel width = (size*2)+1, kernel height = (size*2)+1
      kernel = [-1, -1, -1,\
                -1, +8, -1,\
                -1, -1, -1]
      thresholds = [(100, 255)] # grayscale thresholds设置阈值
      
      clock = time.clock() # 追踪FPS
      
      #if (sensor.get_id() == sensor.OV7725):
          #sensor.__write_reg(0xAC, 0xDF)
          #sensor.__write_reg(0x8F, 0xFF)
      
      while(True):
          clock.tick() # Track elapsed milliseconds between snapshots().
          img = sensor.snapshot() # Take a picture and return the image.
      
          img.morph(kernel_size, kernel)
          img.binary(thresholds)
          img.erode(1, threshold = 2)
          print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while
          #time.sleep(100)
          
          kpts = img.find_keypoints(max_keypoints=150, threshold=10, scale_factor=1.2)
          if (kpts == None):
              raise(Exception("Couldn't find any keypoints!"))
          
          image.save_descriptor(kpts, "/%s.orb"%(FILE_NAME))
          
          img.draw_keypoints(kpts)