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nvidia--tensorrt/plugin/detectionLayerPlugin/detectionLayerPlugin.h
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/*
* 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 <cuda_runtime_api.h>
#include <memory>
#include <string>
#include <vector>
#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<CudaBind<int32_t>> 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<PluginField> mPluginAttributes;
};
} // namespace plugin
} // namespace nvinfer1
#endif // TRT_DETECTION_LAYER_PLUGIN_H