nvdsinfer_yolo_engine.cpp

/*
 * Copyright (c) 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
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 * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
 * DEALINGS IN THE SOFTWARE.
 */

#include "nvdsinfer_custom_impl.h"
#include "nvdsinfer_context.h"
#include "yoloPlugins.h"
#include "yolo.h"

#include <algorithm>

extern "C"
bool NvDsInferCudaEngineGet(nvinfer1::IBuilder *builder,
        NvDsInferContextInitParams *initParams,
        nvinfer1::DataType dataType,
        nvinfer1::ICudaEngine *& cudaEngine)
{
    std::string yoloCfg = initParams->customNetworkConfigFilePath;
    std::string yoloType;

    std::transform (yoloCfg.begin(), yoloCfg.end(), yoloCfg.begin(), [] (uint8_t c) {
        return std::tolower (c);});

    if (yoloCfg.find("yolov2") != std::string::npos) {
        if (yoloCfg.find("yolov2-tiny") != std::string::npos)
            yoloType = "yolov2-tiny";
        else
            yoloType = "yolov2";
    } else if (yoloCfg.find("yolov3") != std::string::npos) {
        if (yoloCfg.find("yolov3-tiny") != std::string::npos)
            yoloType = "yolov3-tiny";
        else
            yoloType = "yolov3";
    } else {
        std::cerr << "Yolo type is not defined from config file name:"
                  << yoloCfg << std::endl;
        return false;
    }

    NetworkInfo networkInfo {
        .networkType     = yoloType,
        .configFilePath  = initParams->customNetworkConfigFilePath,
        .wtsFilePath     = initParams->modelFilePath,
        .deviceType      = (initParams->useDLA ? "kDLA" : "kGPU"),
        .inputBlobName   = "data",
    };

    if (networkInfo.configFilePath.empty() ||
        networkInfo.wtsFilePath.empty()) {
        std::cout << "Yolo config file or weights file is NOT specified." << std::endl;
        return false;
    }

    if (!fileExists(networkInfo.configFilePath) ||
        !fileExists(networkInfo.wtsFilePath)) {
        std::cout << "Yolo config file or weights file is NOT exist." << std::endl;
        return false;
    }

    Yolo yolo(networkInfo, builder);
    cudaEngine = yolo.createEngine ();
    if (cudaEngine == nullptr)
    {
        std::cerr << "Failed to build cuda engine on "
                  << networkInfo.configFilePath << std::endl;
        return false;
    }

    return true;
}