Object Detection
YOLOP / toolkits /deploy /yololayer.h
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First model version
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#ifndef _YOLO_LAYER_H
#define _YOLO_LAYER_H
#include <vector>
#include <string>
#include "NvInfer.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 = 13;
static constexpr int INPUT_H = 384;
static constexpr int INPUT_W = 640;
static constexpr int IMG_H = 360;
static constexpr int IMG_W = 640;
// static constexpr int INPUT_H = 192;
// static constexpr int INPUT_W = 320;
// static constexpr int IMG_H = 180;
// static constexpr int IMG_W = 320;
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 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 override
{
return 1;
}
Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) 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() const override;
virtual void serialize(void* buffer) const override;
bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) const 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;
IPluginV2IOExt* 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;
bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const override;
bool canBroadcastInputAcrossBatch(int inputIndex) const override;
void attachToContext(
cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) override;
void configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput) override;
void detachFromContext() 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 YoloPluginCreator : public IPluginCreator
{
public:
YoloPluginCreator();
~YoloPluginCreator() override = default;
const char* getPluginName() const override;
const char* getPluginVersion() const override;
const PluginFieldCollection* getFieldNames() override;
IPluginV2IOExt* createPlugin(const char* name, const PluginFieldCollection* fc) override;
IPluginV2IOExt* 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