39 lines
1.6 KiB
C++
39 lines
1.6 KiB
C++
/*
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* Copyright (c) 2018-2023, NVIDIA CORPORATION. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*
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* Edited by Marcos Luciano
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* https://www.github.com/marcoslucianops
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*/
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#include "nvdsinfer_custom_impl.h"
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bool
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NvDsInferInitializeInputLayers(std::vector<NvDsInferLayerInfo> const& inputLayersInfo,
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NvDsInferNetworkInfo const& networkInfo, unsigned int maxBatchSize)
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{
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float* scaleFactor = (float*) inputLayersInfo[0].buffer;
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for (unsigned int i = 0; i < maxBatchSize; i++) {
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scaleFactor[i * 2 + 0] = 1.0;
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scaleFactor[i * 2 + 1] = 1.0;
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}
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return true;
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}
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