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78 lines
2.2 KiB
78 lines
2.2 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <map>
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#include <vector>
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#include "DetectionUtil.h"
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#include "Layer.h"
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namespace paddle {
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/**
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* The detection output layer for a SSD detection task. This layer applies the
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* Non-maximum suppression to the all predicted bounding box and keeps the
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* Top-K bounding boxes.
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* - Input: This layer needs three input layers: The first input layer
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* is the priorbox layer. The rest two input layers are convolution
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* layers for generating bbox location offset and the classification
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* confidence.
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* - Output: The predict bounding box locations.
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*/
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class DetectionOutputLayer : public Layer {
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public:
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explicit DetectionOutputLayer(const LayerConfig& config) : Layer(config) {}
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bool init(const LayerMap& layerMap, const ParameterMap& parameterMap);
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void forward(PassType passType);
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void backward(const UpdateCallback& callback = nullptr) {}
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protected:
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inline LayerPtr getPriorBoxLayer() { return inputLayers_[0]; }
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inline LayerPtr getLocInputLayer(size_t index) {
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return inputLayers_[1 + index];
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}
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inline LayerPtr getConfInputLayer(size_t index) {
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return inputLayers_[1 + inputNum_ + index];
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}
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private:
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size_t numClasses_; // number of classes
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size_t inputNum_; // number of input layers
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real nmsThreshold_;
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real confidenceThreshold_;
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size_t nmsTopK_;
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size_t keepTopK_;
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size_t backgroundId_;
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size_t locSizeSum_;
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size_t confSizeSum_;
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MatrixPtr locBuffer_;
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MatrixPtr confBuffer_;
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MatrixPtr locTmpBuffer_;
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MatrixPtr confTmpBuffer_;
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MatrixPtr priorCpuValue_;
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MatrixPtr locCpuBuffer_;
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MatrixPtr confCpuBuffer_;
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};
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} // namespace paddle
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