9a53b7f226
* v8_seg * fix code style * fix code style * [优化代码风格] * readme中增加yolov8_seg分割的使用 * 更新readme * 更新readme * [fix python infer bug] * Update README.md * Update README.md --------- Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
103 lines
3.9 KiB
C++
103 lines
3.9 KiB
C++
#pragma once
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#include "macros.h"
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#include "NvInfer.h"
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#include <string>
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#include <vector>
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#include "macros.h"
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namespace nvinfer1 {
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class API YoloLayerPlugin : public IPluginV2IOExt {
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public:
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YoloLayerPlugin(int classCount, int netWdith, int netHeight, int maxOut, bool is_segmentation);
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YoloLayerPlugin(const void* data, size_t length);
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~YoloLayerPlugin();
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int getNbOutputs() const TRT_NOEXCEPT override {
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return 1;
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}
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nvinfer1::Dims getOutputDimensions(int index, const nvinfer1::Dims* inputs, int nbInputDims) TRT_NOEXCEPT override;
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int initialize() TRT_NOEXCEPT override;
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virtual void terminate() TRT_NOEXCEPT override {}
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virtual size_t getWorkspaceSize(int maxBatchSize) const TRT_NOEXCEPT override { return 0; }
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virtual int enqueue(int batchSize, const void* const* inputs, void* TRT_CONST_ENQUEUE* outputs, void* workspace, cudaStream_t stream) TRT_NOEXCEPT override;
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virtual size_t getSerializationSize() const TRT_NOEXCEPT override;
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virtual void serialize(void* buffer) const TRT_NOEXCEPT override;
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bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) const TRT_NOEXCEPT 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 TRT_NOEXCEPT override;
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const char* getPluginVersion() const TRT_NOEXCEPT override;
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void destroy() TRT_NOEXCEPT override;
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IPluginV2IOExt* clone() const TRT_NOEXCEPT override;
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void setPluginNamespace(const char* pluginNamespace) TRT_NOEXCEPT override;
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const char* getPluginNamespace() const TRT_NOEXCEPT override;
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nvinfer1::DataType getOutputDataType(int32_t index, nvinfer1::DataType const* inputTypes, int32_t nbInputs) const TRT_NOEXCEPT;
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bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const TRT_NOEXCEPT override;
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bool canBroadcastInputAcrossBatch(int inputIndex) const TRT_NOEXCEPT override;
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void attachToContext(cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) TRT_NOEXCEPT override;
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void configurePlugin(PluginTensorDesc const* in, int32_t nbInput, PluginTensorDesc const* out, int32_t nbOutput) TRT_NOEXCEPT override;
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void detachFromContext() TRT_NOEXCEPT override;
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private:
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void forwardGpu(const float* const* inputs, float* output, cudaStream_t stream, int mYoloV8netHeight, int mYoloV8NetWidth, int batchSize);
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int mThreadCount = 256;
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const char* mPluginNamespace;
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int mClassCount;
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int mYoloV8NetWidth;
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int mYoloV8netHeight;
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int mMaxOutObject;
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bool is_segmentation_;
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};
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class API YoloPluginCreator : public IPluginCreator {
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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 TRT_NOEXCEPT override;
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const char* getPluginVersion() const TRT_NOEXCEPT override;
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const nvinfer1::PluginFieldCollection* getFieldNames() TRT_NOEXCEPT override;
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nvinfer1::IPluginV2IOExt* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) TRT_NOEXCEPT override;
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nvinfer1::IPluginV2IOExt* deserializePlugin(const char* name, const void* serialData, size_t serialLength) TRT_NOEXCEPT override;
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void setPluginNamespace(const char* libNamespace) TRT_NOEXCEPT override {
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mNamespace = libNamespace;
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}
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const char* getPluginNamespace() const TRT_NOEXCEPT override {
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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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} // namespace nvinfer1
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