duan8/yolov3-spp/yololayer.h
2020-11-19 15:44:14 +08:00

159 lines
4.9 KiB
C++

#ifndef _YOLO_LAYER_H
#define _YOLO_LAYER_H
#include <assert.h>
#include <cmath>
#include <string.h>
#include <cublas_v2.h>
#include "NvInfer.h"
#include "Utils.h"
#include <iostream>
namespace Yolo
{
static constexpr int CHECK_COUNT = 3;
static constexpr float IGNORE_THRESH = 0.1f;
static constexpr int MAX_OUTPUT_BBOX_COUNT = 1000;
static constexpr int CLASS_NUM = 80;
struct YoloKernel
{
int width;
int height;
int stride;
float anchors[CHECK_COUNT*2];
};
static constexpr YoloKernel yolo1 = {
-1, // dynamic width and height
-1,
32,
{116,90, 156,198, 373,326}
};
static constexpr YoloKernel yolo2 = {
-1,
-1,
16,
{30,61, 62,45, 59,119}
};
static constexpr YoloKernel yolo3 = {
-1,
-1,
8,
{10,13, 16,30, 33,23}
};
static constexpr int LOCATIONS = 4;
struct alignas(float) Detection{
//x y w h
float bbox[LOCATIONS];
float det_confidence;
float class_id;
float class_confidence;
};
}
namespace nvinfer1
{
class YoloLayerPlugin: public IPluginV2DynamicExt
{
public:
explicit YoloLayerPlugin();
YoloLayerPlugin(const void* data, size_t length);
~YoloLayerPlugin();
int getNbOutputs() const override
{
return 1;
}
//virtual Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) final;
virtual DimsExprs getOutputDimensions(int outputIndex, const DimsExprs* inputs, int nbInputs, IExprBuilder& exprBuilder) override;
int initialize() override;
virtual void terminate() override {};
//virtual size_t getWorkspaceSize(int maxBatchSize) const override { return 0;}
size_t getWorkspaceSize(const PluginTensorDesc* inputs, int nbInputs, const PluginTensorDesc* outputs, int nbOutputs) const override { return 0; }
//virtual int enqueue(int batchSize, const void*const * inputs, void** outputs, void* workspace, cudaStream_t stream) override;
int enqueue(const PluginTensorDesc* inputDesc, const PluginTensorDesc* outputDesc, const void* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) override;
virtual size_t getSerializationSize() const override;
virtual void serialize(void* buffer) const override;
bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) override {
return inOut[pos].format == TensorFormat::kLINEAR && inOut[pos].type == DataType::kFLOAT;
}
const char* getPluginType() const override;
const char* getPluginVersion() const override;
void destroy() override;
IPluginV2DynamicExt* clone() const override;
void setPluginNamespace(const char* pluginNamespace) override;
const char* getPluginNamespace() const override;
DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const override;
void attachToContext(
cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) override;
void configurePlugin(const DynamicPluginTensorDesc* in, int nbInputs, const DynamicPluginTensorDesc* out, int nbOutputs) override;
void detachFromContext() override;
private:
void forwardGpu(const float *const * inputs,float * output, cudaStream_t stream,int batchSize = 1);
int mClassCount;
int mKernelCount;
std::vector<Yolo::YoloKernel> mYoloKernel;
int mThreadCount = 256;
void** mAnchor;
const char* mPluginNamespace;
};
class YoloPluginCreator : public IPluginCreator
{
public:
YoloPluginCreator();
~YoloPluginCreator() override = default;
const char* getPluginName() const override;
const char* getPluginVersion() const override;
const PluginFieldCollection* getFieldNames() override;
IPluginV2DynamicExt* createPlugin(const char* name, const PluginFieldCollection* fc) override;
IPluginV2DynamicExt* deserializePlugin(const char* name, const void* serialData, size_t serialLength) override;
void setPluginNamespace(const char* libNamespace) override
{
mNamespace = libNamespace;
}
const char* getPluginNamespace() const override
{
return mNamespace.c_str();
}
private:
std::string mNamespace;
static PluginFieldCollection mFC;
static std::vector<PluginField> mPluginAttributes;
};
REGISTER_TENSORRT_PLUGIN(YoloPluginCreator);
};
#endif