duan8/retinaface/decode.h
2020-04-09 21:36:52 +08:00

61 lines
1.6 KiB
C++

#ifndef _DECODE_CU_H
#define _DECODE_CU_H
#include "NvInfer.h"
namespace decodeplugin
{
struct alignas(float) Detection{
float bbox[4]; //x1 y1 x2 y2
float class_confidence;
float landmark[10];
};
static const int INPUT_H = 928;
static const int INPUT_W = 1600;
}
namespace nvinfer1
{
class DecodePlugin: public IPluginExt
{
public:
explicit DecodePlugin(const int cudaThread = 256);
DecodePlugin(const void* data, size_t length);
~DecodePlugin();
int getNbOutputs() const override
{
return 1;
}
Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override;
bool supportsFormat(DataType type, PluginFormat format) const override {
return type == DataType::kFLOAT && format == PluginFormat::kNCHW;
}
void configureWithFormat(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, DataType type, PluginFormat format, int maxBatchSize) override {};
int initialize() override;
virtual void terminate() override {};
virtual size_t getWorkspaceSize(int maxBatchSize) const override { return 0;}
virtual int enqueue(int batchSize, const void*const * inputs, void** outputs, void* workspace, cudaStream_t stream) override;
virtual size_t getSerializationSize() override;
virtual void serialize(void* buffer) override;
void forwardGpu(const float *const * inputs,float * output, cudaStream_t stream,int batchSize = 1);
private:
int thread_count_ = 256;
};
};
#endif