deepstream_yolo/nvdsinfer_custom_impl_Yolo/yoloPlugins.h

/*
 * 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
 */

#ifndef __YOLO_PLUGINS__
#define __YOLO_PLUGINS__

#include <cuda_runtime_api.h>

#include "yolo.h"

#define CUDA_CHECK(status) {                                                                                               \
  if (status != 0) {                                                                                                       \
    std::cout << "CUDA failure: " << cudaGetErrorString(status) << " in file " << __FILE__  << " at line "  << __LINE__ << \
        std::endl;                                                                                                         \
    abort();                                                                                                               \
  }                                                                                                                        \
}

namespace {
  const char* YOLOLAYER_PLUGIN_VERSION {"1"};
  const char* YOLOLAYER_PLUGIN_NAME {"YoloLayer_TRT"};
} // namespace

class YoloLayer : public nvinfer1::IPluginV2 {
  public:
    YoloLayer(const void* data, size_t length);

    YoloLayer(const uint& netWidth, const uint& netHeight, const uint& numClasses, const uint& newCoords,
        const std::vector<TensorInfo>& yoloTensors, const uint64_t& outputSize, const uint& modelType,
        const float& scoreThreshold);

    const char* getPluginType() const noexcept override { return YOLOLAYER_PLUGIN_NAME; }

    const char* getPluginVersion() const noexcept override { return YOLOLAYER_PLUGIN_VERSION; }

    int getNbOutputs() const noexcept override { return 4; }

    nvinfer1::Dims getOutputDimensions(int index, const nvinfer1::Dims* inputs, int nbInputDims) noexcept override;

    bool supportsFormat(nvinfer1::DataType type, nvinfer1::PluginFormat format) const noexcept override;

    void configureWithFormat(const nvinfer1::Dims* inputDims, int nbInputs, const nvinfer1::Dims* outputDims, int nbOutputs,
        nvinfer1::DataType type, nvinfer1::PluginFormat format, int maxBatchSize) noexcept override;

    int initialize() noexcept override { return 0; }

    void terminate() noexcept override {}

    size_t getWorkspaceSize(int maxBatchSize) const noexcept override { return 0; }

    int32_t enqueue(int batchSize, void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream)
        noexcept override;

    size_t getSerializationSize() const noexcept override;

    void serialize(void* buffer) const noexcept override;

    void destroy() noexcept override { delete this; }

    nvinfer1::IPluginV2* clone() const noexcept override;

    void setPluginNamespace(const char* pluginNamespace) noexcept override { m_Namespace = pluginNamespace; }

    virtual const char* getPluginNamespace() const noexcept override { return m_Namespace.c_str(); }

  private:
    std::string m_Namespace {""};
    uint m_NetWidth {0};
    uint m_NetHeight {0};
    uint m_NumClasses {0};
    uint m_NewCoords {0};
    std::vector<TensorInfo> m_YoloTensors;
    uint64_t m_OutputSize {0};
    uint m_Type {0};
    float m_ScoreThreshold {0};
};

class YoloLayerPluginCreator : public nvinfer1::IPluginCreator {
  public:
    YoloLayerPluginCreator() {}

    ~YoloLayerPluginCreator() {}

    const char* getPluginName() const noexcept override { return YOLOLAYER_PLUGIN_NAME; }

    const char* getPluginVersion() const noexcept override { return YOLOLAYER_PLUGIN_VERSION; }

    const nvinfer1::PluginFieldCollection* getFieldNames() noexcept override {
      std::cerr<< "YoloLayerPluginCreator::getFieldNames is not implemented" << std::endl;
      return nullptr;
    }

    nvinfer1::IPluginV2* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) noexcept override {
      std::cerr<< "YoloLayerPluginCreator::getFieldNames is not implemented";
      return nullptr;
    }

    nvinfer1::IPluginV2* deserializePlugin(const char* name, const void* serialData, size_t serialLength) noexcept override {
      std::cout << "Deserialize yoloLayer plugin: " << name << std::endl;
      return new YoloLayer(serialData, serialLength);
    }

    void setPluginNamespace(const char* libNamespace) noexcept override { m_Namespace = libNamespace; }

    const char* getPluginNamespace() const noexcept override { return m_Namespace.c_str(); }

  private:
    std::string m_Namespace {""};
};

#endif // __YOLO_PLUGINS__