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#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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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 int MAX_OUTPUT_BBOX_COUNT = 1000; |
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static constexpr int CLASS_NUM = 13; |
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static constexpr int INPUT_H = 384; |
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static constexpr int INPUT_W = 640; |
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static constexpr int IMG_H = 360; |
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static constexpr int IMG_W = 640; |
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static constexpr int LOCATIONS = 4; |
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struct alignas(float) Detection { |
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float bbox[LOCATIONS]; |
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float 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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YoloLayerPlugin(int classCount, int netWidth, int netHeight, int maxOut, const std::vector<Yolo::YoloKernel>& vYoloKernel); |
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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 mThreadCount = 256; |
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const char* mPluginNamespace; |
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int mKernelCount; |
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int mClassCount; |
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int mYoloV5NetWidth; |
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int mYoloV5NetHeight; |
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int mMaxOutObject; |
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std::vector<Yolo::YoloKernel> mYoloKernel; |
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void** mAnchor; |
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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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