Files
deepstream_yolo/nvdsinfer_custom_impl_Yolo/yoloPlugins.h
Marcos Luciano f621c0f429 GPU Batched NMS
2022-06-19 03:25:50 -03:00

169 lines
6.0 KiB
C++

/*
* 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 <cassert>
#include <cstring>
#include <cuda_runtime_api.h>
#include <iostream>
#include <memory>
#include <vector>
#include "NvInferPlugin.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 uint& topK,
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 2; }
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 maxBatchSize * sizeof(int);
}
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};
uint m_TopK {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 {""};
};
extern uint kNUM_CLASSES;
#endif // __YOLO_PLUGINS__