Francesco Gatti
125 lines
4.1 KiB
C++
125 lines
4.1 KiB
C++
#ifndef _YOLORT_PLUGIN_H
|
|
#define _YOLORT_PLUGIN_H
|
|
|
|
#include<cassert>
|
|
#include <vector>
|
|
#include "../kernels.h"
|
|
#include <NvInfer.h>
|
|
|
|
#define YOLORT_CLASSNAME_W 256
|
|
|
|
namespace nvinfer1 {
|
|
class YoloRT : public IPluginV2Ext {
|
|
|
|
public:
|
|
YoloRT(int classes, int num,int c,int h,int w, int n_masks = 3, float scale_xy = 1,
|
|
float nms_thresh = 0.45, int nms_kind = 0, int new_coords = 0);
|
|
|
|
YoloRT(const void *data, size_t length);
|
|
|
|
~YoloRT();
|
|
|
|
|
|
int getNbOutputs() const NOEXCEPT override;
|
|
|
|
Dims getOutputDimensions(int index, const Dims *inputs, int nbInputDims) NOEXCEPT override;
|
|
|
|
int initialize() NOEXCEPT override;
|
|
|
|
void terminate() NOEXCEPT override;
|
|
|
|
size_t getWorkspaceSize(int maxBatchSize) const NOEXCEPT override;
|
|
|
|
|
|
#if NV_TENSORRT_MAJOR > 7
|
|
int enqueue(int batchSize, const void *const *inputs, void *const *outputs, void *workspace,
|
|
cudaStream_t stream) NOEXCEPT override;
|
|
#elif NV_TENSORRT_MAJOR == 7
|
|
int32_t enqueue (int32_t batchSize, const void *const *inputs, void **outputs, void *workspace, cudaStream_t stream) override;
|
|
#endif
|
|
|
|
|
|
size_t getSerializationSize() const NOEXCEPT override;
|
|
|
|
bool supportsFormat(DataType type, PluginFormat format) const NOEXCEPT override;
|
|
|
|
void serialize(void *buffer) const NOEXCEPT override;
|
|
|
|
const char *getPluginType() const NOEXCEPT override;
|
|
|
|
const char *getPluginVersion() const NOEXCEPT override;
|
|
|
|
void destroy() NOEXCEPT override;
|
|
|
|
const char *getPluginNamespace() const NOEXCEPT override;
|
|
|
|
void setPluginNamespace(const char *pluginNamespace) NOEXCEPT override;
|
|
|
|
IPluginV2Ext *clone() const NOEXCEPT override;
|
|
|
|
DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const NOEXCEPT override;
|
|
|
|
void attachToContext(cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) NOEXCEPT override;
|
|
|
|
bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const NOEXCEPT override;
|
|
|
|
bool canBroadcastInputAcrossBatch(int inputIndex) const NOEXCEPT override;
|
|
|
|
void configurePlugin (Dims const *inputDims, int32_t nbInputs, Dims const *outputDims,
|
|
int32_t nbOutputs, DataType const *inputTypes, DataType const *outputTypes,
|
|
bool const *inputIsBroadcast, bool const *outputIsBroadcast, PluginFormat floatFormat,
|
|
int32_t maxBatchSize) NOEXCEPT override;
|
|
|
|
void detachFromContext() NOEXCEPT override;
|
|
|
|
|
|
int c, h, w;
|
|
int classes, num, n_masks;
|
|
float scaleXY;
|
|
float nms_thresh;
|
|
int nms_kind;
|
|
int new_coords;
|
|
|
|
std::vector<std::string> classesNames;
|
|
std::vector<dnnType> mask;
|
|
std::vector<dnnType> bias;
|
|
|
|
|
|
int entry_index(int batch, int location, int entry) {
|
|
int n = location / (w * h);
|
|
int loc = location % (w * h);
|
|
return batch * c * h * w + n * w * h * (4 + classes + 1) + entry * w * h + loc;
|
|
}
|
|
|
|
private:
|
|
std::string mPluginNamespace;
|
|
|
|
};
|
|
|
|
class YoloRTPluginCreator : public IPluginCreator {
|
|
public:
|
|
YoloRTPluginCreator();
|
|
|
|
void setPluginNamespace(const char *pluginNamespace) NOEXCEPT override;
|
|
|
|
const char *getPluginNamespace() const NOEXCEPT override;
|
|
|
|
IPluginV2Ext *deserializePlugin(const char *name, const void *serialData, size_t serialLength) NOEXCEPT override;
|
|
|
|
IPluginV2Ext *createPlugin(const char *name, const PluginFieldCollection *fc) NOEXCEPT override;
|
|
|
|
const char *getPluginName() const NOEXCEPT override;
|
|
|
|
const char *getPluginVersion() const NOEXCEPT override;
|
|
|
|
const PluginFieldCollection *getFieldNames() NOEXCEPT override;
|
|
|
|
private:
|
|
static PluginFieldCollection mFC;
|
|
static std::vector<PluginField> mPluginAttributes;
|
|
std::string mPluginNamespace;
|
|
};
|
|
|
|
REGISTER_TENSORRT_PLUGIN(YoloRTPluginCreator);
|
|
};
|
|
#endif |