星瞳实验室APP,快速收到回复
  • 我们只解决官方正版的OpenMV的问题(STM32),其他的分支有很多兼容问题,我们无法解决。
  • 如果有产品硬件故障问题,比如无法开机,论坛很难解决。可以直接找售后维修
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  • 帖子需要目的,你要做什么?
  • 如果涉及代码,需要报错提示全部代码文本,请注意不要贴代码图片
  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • 例子中的瞳孔识别不准确,有时识别不出来有时识别出来的只有一个眼睛



    • # Iris Detection 2 Example
      #
      # This example shows how to find the eye gaze (pupil detection) after finding
      # the eyes in an image. This script uses the find_eyes function which determines
      # the center point of roi that should contain a pupil. It does this by basically
      # finding the center of the darkest area in the eye roi which is the pupil center.
      #
      # Note: This script does not detect a face first, use it with the telephoto lens.
      
      import sensor, time, image
      
      # Reset sensor
      sensor.reset()
      
      # Sensor settings
      sensor.set_contrast(3)
      sensor.set_gainceiling(16)
      
      # Set resolution to VGA.
      sensor.set_framesize(sensor.VGA)
      
      # Bin/Crop image to 200x100, which gives more details with less data to process
      sensor.set_windowing((220, 190, 200, 100))
      
      sensor.set_pixformat(sensor.GRAYSCALE)
      
      # Load Haar Cascade
      # By default this will use all stages, lower satges is faster but less accurate.
      eyes_cascade = image.HaarCascade("eye", stages=24)
      print(eyes_cascade)
      
      # FPS clock
      clock = time.clock()
      
      while (True):
          clock.tick()
          # Capture snapshot
          img = sensor.snapshot()
          # Find eyes !
          # Note: Lower scale factor scales-down the image more and detects smaller objects.
          # Higher threshold results in a higher detection rate, with more false positives.
          eyes = img.find_features(eyes_cascade, threshold=0.5, scale_factor=1.5)
      
          # Find iris
          for e in eyes:
              iris = img.find_eye(e)
              img.draw_rectangle(e)
              img.draw_cross(iris[0], iris[1])
      
          # Print FPS.
          # Note: Actual FPS is higher, streaming the FB makes it slower.
          print(clock.fps())
      


    • 例程讲解-08-face_eye_detection人眼追踪

      可以试一下人眼追踪。

      人眼追踪是先识别人脸,然后识别眼睛。
      瞳孔追踪是先识别眼睛,然后寻找眼睛中颜色最深的部位确定为瞳孔,并且需要配合长焦镜头使用。