tensorflow/core/ops/compat/ops_history_v1/CombinedNonMaxSuppression.pbtxt

op {
  name: "CombinedNonMaxSuppression"
  input_arg {
    name: "boxes"
    type: DT_FLOAT
  }
  input_arg {
    name: "scores"
    type: DT_FLOAT
  }
  input_arg {
    name: "max_output_size_per_class"
    type: DT_INT32
  }
  input_arg {
    name: "max_total_size"
    type: DT_INT32
  }
  input_arg {
    name: "iou_threshold"
    type: DT_FLOAT
  }
  input_arg {
    name: "score_threshold"
    type: DT_FLOAT
  }
  output_arg {
    name: "nmsed_boxes"
    type: DT_FLOAT
  }
  output_arg {
    name: "nmsed_scores"
    type: DT_FLOAT
  }
  output_arg {
    name: "nmsed_classes"
    type: DT_FLOAT
  }
  output_arg {
    name: "valid_detections"
    type: DT_INT32
  }
  attr {
    name: "pad_per_class"
    type: "bool"
    default_value {
      b: false
    }
  }
}
op {
  name: "CombinedNonMaxSuppression"
  input_arg {
    name: "boxes"
    type: DT_FLOAT
  }
  input_arg {
    name: "scores"
    type: DT_FLOAT
  }
  input_arg {
    name: "max_output_size_per_class"
    type: DT_INT32
  }
  input_arg {
    name: "max_total_size"
    type: DT_INT32
  }
  input_arg {
    name: "iou_threshold"
    type: DT_FLOAT
  }
  input_arg {
    name: "score_threshold"
    type: DT_FLOAT
  }
  output_arg {
    name: "nmsed_boxes"
    type: DT_FLOAT
  }
  output_arg {
    name: "nmsed_scores"
    type: DT_FLOAT
  }
  output_arg {
    name: "nmsed_classes"
    type: DT_FLOAT
  }
  output_arg {
    name: "valid_detections"
    type: DT_INT32
  }
  attr {
    name: "pad_per_class"
    type: "bool"
    default_value {
      b: false
    }
  }
  attr {
    name: "clip_boxes"
    type: "bool"
    default_value {
      b: true
    }
  }
}