/*
 * Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a
 * copy of this software and associated documentation files (the "Software"),
 * to deal in the Software without restriction, including without limitation
 * the rights to use, copy, modify, merge, publish, distribute, sublicense,
 * and/or sell copies of the Software, and to permit persons to whom the
 * Software is furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
 * THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
 * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
 * DEALINGS IN THE SOFTWARE.
 * 
 * Edited by Marcos Luciano
 * https://www.github.com/marcoslucianops
 */

#include "nvdsinfer_custom_impl.h"

bool
NvDsInferInitializeInputLayers(std::vector<NvDsInferLayerInfo> const& inputLayersInfo,
    NvDsInferNetworkInfo const& networkInfo, unsigned int maxBatchSize)
{
  float* scaleFactor = (float*) inputLayersInfo[0].buffer;
  for (unsigned int i = 0; i < maxBatchSize; i++) {
    scaleFactor[i * 2 + 0] = 1.0;
    scaleFactor[i * 2 + 1] = 1.0;
  }
  return true;
}