153 lines
4.5 KiB
C++
153 lines
4.5 KiB
C++
#ifndef _YOLO_LAYER_H
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#define _YOLO_LAYER_H
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#include <vector>
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#include <string>
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#include "NvInfer.h"
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namespace Yolo
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{
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static constexpr int CHECK_COUNT = 3;
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static constexpr float IGNORE_THRESH = 0.1f;
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static constexpr int MAX_OUTPUT_BBOX_COUNT = 1000;
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static constexpr int CLASS_NUM = 80;
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static constexpr int INPUT_H = 608;
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static constexpr int INPUT_W = 608;
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struct YoloKernel
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{
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int width;
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int height;
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float anchors[CHECK_COUNT*2];
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};
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static constexpr YoloKernel yolo1 = {
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INPUT_W / 32,
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INPUT_H / 32,
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{116,90, 156,198, 373,326}
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};
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static constexpr YoloKernel yolo2 = {
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INPUT_W / 16,
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INPUT_H / 16,
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{30,61, 62,45, 59,119}
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};
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static constexpr YoloKernel yolo3 = {
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INPUT_W / 8,
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INPUT_H / 8,
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{10,13, 16,30, 33,23}
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};
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static constexpr int LOCATIONS = 4;
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struct alignas(float) Detection{
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//center_x center_y w h
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float bbox[LOCATIONS];
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float conf; // bbox_conf * cls_conf
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float class_id;
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};
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}
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namespace nvinfer1
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{
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class YoloLayerPlugin: public IPluginV2IOExt
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{
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public:
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explicit YoloLayerPlugin();
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YoloLayerPlugin(const void* data, size_t length);
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~YoloLayerPlugin();
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int getNbOutputs() const override
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{
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return 1;
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}
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Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override;
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int initialize() override;
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virtual void terminate() override {};
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virtual size_t getWorkspaceSize(int maxBatchSize) const override { return 0;}
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virtual int enqueue(int batchSize, const void*const * inputs, void** outputs, void* workspace, cudaStream_t stream) override;
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virtual size_t getSerializationSize() const override;
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virtual void serialize(void* buffer) const override;
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bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) const override {
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return inOut[pos].format == TensorFormat::kLINEAR && inOut[pos].type == DataType::kFLOAT;
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}
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const char* getPluginType() const override;
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const char* getPluginVersion() const override;
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void destroy() override;
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IPluginV2IOExt* clone() const override;
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void setPluginNamespace(const char* pluginNamespace) override;
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const char* getPluginNamespace() const override;
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DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const override;
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bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const override;
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bool canBroadcastInputAcrossBatch(int inputIndex) const override;
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void attachToContext(
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cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) override;
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void configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput) override;
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void detachFromContext() override;
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private:
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void forwardGpu(const float *const * inputs,float * output, cudaStream_t stream,int batchSize = 1);
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int mClassCount;
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int mKernelCount;
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std::vector<Yolo::YoloKernel> mYoloKernel;
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int mThreadCount = 256;
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void** mAnchor;
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const char* mPluginNamespace;
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};
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class YoloPluginCreator : public IPluginCreator
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{
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public:
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YoloPluginCreator();
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~YoloPluginCreator() override = default;
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const char* getPluginName() const override;
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const char* getPluginVersion() const override;
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const PluginFieldCollection* getFieldNames() override;
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IPluginV2IOExt* createPlugin(const char* name, const PluginFieldCollection* fc) override;
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IPluginV2IOExt* deserializePlugin(const char* name, const void* serialData, size_t serialLength) override;
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void setPluginNamespace(const char* libNamespace) override
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{
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mNamespace = libNamespace;
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}
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const char* getPluginNamespace() const override
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{
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return mNamespace.c_str();
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}
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private:
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std::string mNamespace;
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static PluginFieldCollection mFC;
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static std::vector<PluginField> mPluginAttributes;
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};
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REGISTER_TENSORRT_PLUGIN(YoloPluginCreator);
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};
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#endif
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