{
  neural_network_classifier: string // required
}

{
  name: 'NeuralNetworkClassifier',
  params: {
    neural_network_name: <some_NN_name> // e.g 'fin_all_small'
  }
}

{
  neural_network_classifier: string, // required
​
  // Accept only objects with contours whose circumscribed circle has a radius
  // between "min_radius" and "max_radius". In adition to that, the ratio between the contour
  // and the circumscribed circle must be larger than "min_area_ratio".
​
  filter_circle: {
    min_radius: integer,
    max_radius: integer,
    min_area_ratio: float // [0, 1] where 1 is a perfect circle
  },
​
  // Accept only object with contours whose circumscribed rectangle (bounding box)
  // has a ratio of the short/long sides between "min_ratio" and "max_ratio".
​
  filter_rect: {
    min_ratio: float, // (0, 1], the closer to 1, the more "square" the contour must be
    max_ratio: float, // same as above
  },
​
  // Threshold value which is used to determine if a pixel is different from the
  // table, therefore it is considered movement.
  // Values in range [1, 255). The higher the value, the more contrast there should be between
  // the table and the object.
​
  filter_tresh: int
}

{
  name: 'MovementBasedSegmenter',
  params: {
    ...
  }
}

{
  name: 'DepthClassifier',
  params: {
    frames_until_stable: int // currently experimental
  }
}