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yololayer.h
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yololayer.h
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#ifndef _YOLO_LAYER_H
#define _YOLO_LAYER_H
#include <vector>
#include <string>
#include <NvInfer.h>
#include "macros.h"
namespace Yolo
{
static constexpr int CHECK_COUNT = 3;
static constexpr float IGNORE_THRESH = 0.1f;
struct YoloKernel
{
int width;
int height;
float anchors[CHECK_COUNT * 2];
};
static constexpr int MAX_OUTPUT_BBOX_COUNT = 1000;
static constexpr int CLASS_NUM = 80;
static constexpr int INPUT_H = 640; // yolov5's input height and width must be divisible by 32.
static constexpr int INPUT_W = 640;
static constexpr int LOCATIONS = 4;
struct alignas(float) Detection {
//center_x center_y w h
float bbox[LOCATIONS];
float conf; // bbox_conf * cls_conf
float class_id;
};
}
namespace nvinfer1
{
class API YoloLayerPlugin : public IPluginV2IOExt
{
public:
YoloLayerPlugin(int classCount, int netWidth, int netHeight, int maxOut, const std::vector<Yolo::YoloKernel>& vYoloKernel);
YoloLayerPlugin(const void* data, size_t length);
~YoloLayerPlugin();
int getNbOutputs() const TRT_NOEXCEPT override
{
return 1;
}
Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) TRT_NOEXCEPT override;
int initialize() TRT_NOEXCEPT override;
virtual void terminate() TRT_NOEXCEPT override {};
virtual size_t getWorkspaceSize(int maxBatchSize) const TRT_NOEXCEPT override { return 0; }
virtual int enqueue(int batchSize, const void* const* inputs, void*TRT_CONST_ENQUEUE* outputs, void* workspace, cudaStream_t stream) TRT_NOEXCEPT override;
virtual size_t getSerializationSize() const TRT_NOEXCEPT override;
virtual void serialize(void* buffer) const TRT_NOEXCEPT override;
bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) const TRT_NOEXCEPT override {
return inOut[pos].format == TensorFormat::kLINEAR && inOut[pos].type == DataType::kFLOAT;
}
const char* getPluginType() const TRT_NOEXCEPT override;
const char* getPluginVersion() const TRT_NOEXCEPT override;
void destroy() TRT_NOEXCEPT override;
IPluginV2IOExt* clone() const TRT_NOEXCEPT override;
void setPluginNamespace(const char* pluginNamespace) TRT_NOEXCEPT override;
const char* getPluginNamespace() const TRT_NOEXCEPT override;
DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const TRT_NOEXCEPT override;
bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const TRT_NOEXCEPT override;
bool canBroadcastInputAcrossBatch(int inputIndex) const TRT_NOEXCEPT override;
void attachToContext(
cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) TRT_NOEXCEPT override;
void configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput) TRT_NOEXCEPT override;
void detachFromContext() TRT_NOEXCEPT override;
private:
void forwardGpu(const float* const* inputs, float *output, cudaStream_t stream, int batchSize = 1);
int mThreadCount = 256;
const char* mPluginNamespace;
int mKernelCount;
int mClassCount;
int mYoloV5NetWidth;
int mYoloV5NetHeight;
int mMaxOutObject;
std::vector<Yolo::YoloKernel> mYoloKernel;
void** mAnchor;
};
class API YoloPluginCreator : public IPluginCreator
{
public:
YoloPluginCreator();
~YoloPluginCreator() override = default;
const char* getPluginName() const TRT_NOEXCEPT override;
const char* getPluginVersion() const TRT_NOEXCEPT override;
const PluginFieldCollection* getFieldNames() TRT_NOEXCEPT override;
IPluginV2IOExt* createPlugin(const char* name, const PluginFieldCollection* fc) TRT_NOEXCEPT override;
IPluginV2IOExt* deserializePlugin(const char* name, const void* serialData, size_t serialLength) TRT_NOEXCEPT override;
void setPluginNamespace(const char* libNamespace) TRT_NOEXCEPT override
{
mNamespace = libNamespace;
}
const char* getPluginNamespace() const TRT_NOEXCEPT override
{
return mNamespace.c_str();
}
private:
std::string mNamespace;
static PluginFieldCollection mFC;
static std::vector<PluginField> mPluginAttributes;
};
REGISTER_TENSORRT_PLUGIN(YoloPluginCreator);
};
#endif // _YOLO_LAYER_H