108 lines
3.6 KiB
C++
108 lines
3.6 KiB
C++
/*
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* Copyright (c) 2019-2020, 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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* 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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#include "nvdsinfer_context.h"
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#include "yoloPlugins.h"
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#include "yolo.h"
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#include <algorithm>
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#define USE_CUDA_ENGINE_GET_API 1
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static bool getYoloNetworkInfo (NetworkInfo &networkInfo, const NvDsInferContextInitParams* initParams)
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{
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std::string yoloCfg = initParams->customNetworkConfigFilePath;
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std::string yoloType;
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std::transform (yoloCfg.begin(), yoloCfg.end(), yoloCfg.begin(), [] (uint8_t c) {
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return std::tolower (c);});
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yoloType = yoloCfg.substr(0, yoloCfg.find(".cfg"));
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networkInfo.networkType = yoloType;
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networkInfo.configFilePath = initParams->customNetworkConfigFilePath;
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networkInfo.wtsFilePath = initParams->modelFilePath;
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networkInfo.deviceType = (initParams->useDLA ? "kDLA" : "kGPU");
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networkInfo.inputBlobName = "data";
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if (networkInfo.configFilePath.empty() ||
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networkInfo.wtsFilePath.empty()) {
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std::cerr << "YOLO config file or weights file is not specified"
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<< std::endl;
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return false;
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}
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if (!fileExists(networkInfo.configFilePath) ||
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!fileExists(networkInfo.wtsFilePath)) {
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std::cerr << "YOLO config file or weights file is not exist"
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<< std::endl;
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return false;
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}
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return true;
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}
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#if !USE_CUDA_ENGINE_GET_API
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IModelParser* NvDsInferCreateModelParser(
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const NvDsInferContextInitParams* initParams) {
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NetworkInfo networkInfo;
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if (!getYoloNetworkInfo(networkInfo, initParams)) {
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return nullptr;
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}
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return new Yolo(networkInfo);
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}
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#else
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extern "C"
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bool NvDsInferYoloCudaEngineGet(nvinfer1::IBuilder * const builder,
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const NvDsInferContextInitParams * const initParams,
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nvinfer1::DataType dataType,
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nvinfer1::ICudaEngine *& cudaEngine);
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extern "C"
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bool NvDsInferYoloCudaEngineGet(nvinfer1::IBuilder * const builder,
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const NvDsInferContextInitParams * const initParams,
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nvinfer1::DataType dataType,
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nvinfer1::ICudaEngine *& cudaEngine)
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{
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NetworkInfo networkInfo;
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if (!getYoloNetworkInfo(networkInfo, initParams)) {
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return false;
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}
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Yolo yolo(networkInfo);
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cudaEngine = yolo.createEngine (builder);
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if (cudaEngine == nullptr)
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{
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std::cerr << "Failed to build CUDA engine on "
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<< networkInfo.configFilePath << std::endl;
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return false;
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}
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return true;
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}
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#endif
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