/* * SPDX-FileCopyrightText: Copyright (c) 1993-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef TRT_DETECTION_LAYER_PLUGIN_H #define TRT_DETECTION_LAYER_PLUGIN_H #include #include #include #include #include "NvInfer.h" #include "NvInferPlugin.h" #include "common/kernels/maskRCNNKernels.h" namespace nvinfer1 { namespace plugin { class DetectionLayer : public IPluginV2Ext { public: DetectionLayer(int32_t numClasses, int32_t keepTopk, float scoreThreshold, float iouThreshold); DetectionLayer(void const* data, size_t length); ~DetectionLayer() override = default; int32_t getNbOutputs() const noexcept override; Dims getOutputDimensions(int32_t index, Dims const* inputs, int32_t nbInputDims) noexcept override; int32_t initialize() noexcept override; void terminate() noexcept override; void destroy() noexcept override; size_t getWorkspaceSize(int32_t maxBatchSize) const noexcept override; int32_t enqueue(int32_t batchSize, void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept override; size_t getSerializationSize() const noexcept override; void serialize(void* buffer) const noexcept override; bool supportsFormat(DataType type, PluginFormat format) const noexcept override; char const* getPluginType() const noexcept override; char const* getPluginVersion() const noexcept override; IPluginV2Ext* clone() const noexcept override; void setPluginNamespace(char const* libNamespace) noexcept override; char const* getPluginNamespace() const noexcept override; DataType getOutputDataType( int32_t index, nvinfer1::DataType const* inputTypes, int32_t nbInputs) const noexcept override; void attachToContext( cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) noexcept override; void configurePlugin(Dims const* inputDims, int32_t nbInputs, Dims const* outputDims, int32_t nbOutputs, DataType const* inputTypes, DataType const* outputTypes, bool const* inputIsBroadcast, bool const* outputIsBroadcast, PluginFormat floatFormat, int32_t maxBatchSize) noexcept override; void detachFromContext() noexcept override; private: void checkValidInputs(nvinfer1::Dims const* inputs, int32_t nbInputDims); int32_t mBackgroundLabel; int32_t mNbClasses; int32_t mKeepTopK; float mScoreThreshold; float mIOUThreshold; int32_t mMaxBatchSize; int32_t mAnchorsCnt; std::shared_ptr> mValidCnt; // valid cnt = number of input rois for every image. nvinfer1::DataType mType; RefineNMSParameters mParam; std::string mNameSpace; }; class DetectionLayerPluginCreator : public nvinfer1::pluginInternal::BaseCreator { public: DetectionLayerPluginCreator(); ~DetectionLayerPluginCreator() override {} char const* getPluginName() const noexcept override; char const* getPluginVersion() const noexcept override; PluginFieldCollection const* getFieldNames() noexcept override; IPluginV2Ext* createPlugin(char const* name, PluginFieldCollection const* fc) noexcept override; IPluginV2Ext* deserializePlugin(char const* name, void const* data, size_t length) noexcept override; private: PluginFieldCollection mFC; int32_t mNbClasses; int32_t mKeepTopK; float mScoreThreshold; float mIOUThreshold; std::vector mPluginAttributes; }; } // namespace plugin } // namespace nvinfer1 #endif // TRT_DETECTION_LAYER_PLUGIN_H