57 lines
1.8 KiB
57 lines
1.8 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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 "Layer.h"
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namespace paddle {
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/**
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* A layer used by Fast R-CNN to extract feature maps of ROIs from the last
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* feature map.
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* - Input: This layer needs two input layers: The first input layer is a
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* convolution layer; The second input layer contains the ROI data
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* which is the output of ProposalLayer in Faster R-CNN. layers for
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* generating bbox location offset and the classification confidence.
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* - Output: The ROIs' feature map.
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* Reference:
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* Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun.
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* Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
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* Networks
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*/
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class ROIPoolLayer : public Layer {
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protected:
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size_t channels_;
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size_t width_;
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size_t height_;
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size_t pooledWidth_;
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size_t pooledHeight_;
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real spatialScale_;
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// Since there is no int matrix, use real maxtrix instead.
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MatrixPtr maxIdxs_;
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public:
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explicit ROIPoolLayer(const LayerConfig& config) : Layer(config) {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback = nullptr) override;
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};
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} // namespace paddle
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