Rajeev Rao
135 lines
4.2 KiB
C++
135 lines
4.2 KiB
C++
/*
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* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef TRT_DETECTION_LAYER_PLUGIN_H
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#define TRT_DETECTION_LAYER_PLUGIN_H
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#include <cassert>
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#include <cuda_runtime_api.h>
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#include <memory>
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#include <string.h>
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#include <string>
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#include <vector>
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#include "NvInfer.h"
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#include "NvInferPlugin.h"
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#include "maskRCNNKernels.h"
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namespace nvinfer1
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{
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namespace plugin
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{
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class DetectionLayer : public IPluginV2Ext
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{
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public:
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DetectionLayer(int num_classes, int keep_topk, float score_threshold, float iou_threshold);
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DetectionLayer(const void* data, size_t length);
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~DetectionLayer() override = default;
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int getNbOutputs() const noexcept override;
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Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) noexcept override;
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int initialize() noexcept override;
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void terminate() noexcept override;
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void destroy() noexcept override;
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size_t getWorkspaceSize(int maxBatchSize) const noexcept override;
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int enqueue(int batch_size, const void* const* inputs, void* const* outputs, void* workspace,
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cudaStream_t stream) noexcept override;
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size_t getSerializationSize() const noexcept override;
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void serialize(void* buffer) const noexcept override;
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bool supportsFormat(DataType type, PluginFormat format) const noexcept override;
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const char* getPluginType() const noexcept override;
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const char* getPluginVersion() const noexcept override;
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IPluginV2Ext* clone() const noexcept override;
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void setPluginNamespace(const char* libNamespace) noexcept override;
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const char* getPluginNamespace() const noexcept override;
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DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const noexcept override;
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bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const noexcept override;
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bool canBroadcastInputAcrossBatch(int inputIndex) const noexcept override;
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void attachToContext(
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cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) noexcept override;
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void configurePlugin(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs,
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const DataType* inputTypes, const DataType* outputTypes, const bool* inputIsBroadcast,
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const bool* outputIsBroadcast, PluginFormat floatFormat, int maxBatchSize) noexcept override;
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void detachFromContext() noexcept override;
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private:
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void check_valid_inputs(const nvinfer1::Dims* inputs, int nbInputDims);
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int mBackgroundLabel;
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int mNbClasses;
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int mKeepTopK;
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float mScoreThreshold;
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float mIOUThreshold;
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int mMaxBatchSize;
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int mAnchorsCnt;
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std::shared_ptr<CudaBind<int>> mValidCnt; // valid cnt = number of input rois for every image.
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nvinfer1::DataType mType;
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RefineNMSParameters mParam;
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std::string mNameSpace;
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};
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class DetectionLayerPluginCreator : public BaseCreator
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{
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public:
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DetectionLayerPluginCreator();
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~DetectionLayerPluginCreator(){};
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const char* getPluginName() const noexcept override;
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const char* getPluginVersion() const noexcept override;
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const PluginFieldCollection* getFieldNames() noexcept override;
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IPluginV2Ext* createPlugin(const char* name, const PluginFieldCollection* fc) noexcept override;
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IPluginV2Ext* deserializePlugin(const char* name, const void* data, size_t length) noexcept override;
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private:
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static PluginFieldCollection mFC;
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int mNbClasses;
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int mKeepTopK;
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float mScoreThreshold;
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float mIOUThreshold;
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static std::vector<PluginField> mPluginAttributes;
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};
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} // namespace plugin
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} // namespace nvinfer1
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#endif // TRT_DETECTION_LAYER_PLUGIN_H
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