/* * Copyright (c) 2019-2021, 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" #include "nvdsinfer_context.h" #include "yoloPlugins.h" #include "yolo.h" #include #define USE_CUDA_ENGINE_GET_API 1 static bool getYoloNetworkInfo (NetworkInfo &networkInfo, const NvDsInferContextInitParams* initParams) { std::string yoloCfg = initParams->customNetworkConfigFilePath; std::string yoloType; std::transform (yoloCfg.begin(), yoloCfg.end(), yoloCfg.begin(), [] (uint8_t c) { return std::tolower (c);}); yoloType = yoloCfg.substr(0, yoloCfg.find(".cfg")); networkInfo.inputBlobName = "data"; networkInfo.networkType = yoloType; networkInfo.configFilePath = initParams->customNetworkConfigFilePath; networkInfo.wtsFilePath = initParams->modelFilePath; networkInfo.int8CalibPath = initParams->int8CalibrationFilePath; networkInfo.deviceType = (initParams->useDLA ? "kDLA" : "kGPU"); networkInfo.numDetectedClasses = initParams->numDetectedClasses; networkInfo.clusterMode = initParams->clusterMode; if(initParams->networkMode == 0) { networkInfo.networkMode = "FP32"; } else if(initParams->networkMode == 1) { networkInfo.networkMode = "INT8"; } else if(initParams->networkMode == 2) { networkInfo.networkMode = "FP16"; } if (networkInfo.configFilePath.empty() || networkInfo.wtsFilePath.empty()) { std::cerr << "YOLO config file or weights file is not specified\n" << std::endl; return false; } if (!fileExists(networkInfo.configFilePath) || !fileExists(networkInfo.wtsFilePath)) { std::cerr << "YOLO config file or weights file is not exist\n" << std::endl; return false; } return true; } #if !USE_CUDA_ENGINE_GET_API IModelParser* NvDsInferCreateModelParser( const NvDsInferContextInitParams* initParams) { NetworkInfo networkInfo; if (!getYoloNetworkInfo(networkInfo, initParams)) { return nullptr; } return new Yolo(networkInfo); } #else extern "C" bool NvDsInferYoloCudaEngineGet(nvinfer1::IBuilder * const builder, nvinfer1::IBuilderConfig * const builderConfig, const NvDsInferContextInitParams * const initParams, nvinfer1::DataType dataType, nvinfer1::ICudaEngine *& cudaEngine); extern "C" bool NvDsInferYoloCudaEngineGet(nvinfer1::IBuilder * const builder, nvinfer1::IBuilderConfig * const builderConfig, const NvDsInferContextInitParams * const initParams, nvinfer1::DataType dataType, nvinfer1::ICudaEngine *& cudaEngine) { NetworkInfo networkInfo; if (!getYoloNetworkInfo(networkInfo, initParams)) { return false; } Yolo yolo(networkInfo); cudaEngine = yolo.createEngine (builder, builderConfig); if (cudaEngine == nullptr) { std::cerr << "Failed to build CUDA engine on " << networkInfo.configFilePath << std::endl; return false; } return true; } #endif