57 lines
1.6 KiB
C++
57 lines
1.6 KiB
C++
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#ifndef CAFFE_POSE_DATA_LAYER_HPP_
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#define CAFFE_POSE_DATA_LAYER_HPP_
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#include <vector>
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#include "caffe/blob.hpp"
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#include "caffe/layer.hpp"
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#include "caffe/proto/caffe.pb.h"
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#include "caffe/layers/base_data_layer.hpp"
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namespace caffe {
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template <typename Dtype>
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class PoseDataLayer : public BaseDataLayer<Dtype> {
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public:
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explicit PoseDataLayer(const LayerParameter& param)
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: BaseDataLayer<Dtype>(param), has_new_data_(false) {}
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virtual void DataLayerSetUp(const vector<Blob<Dtype>*>& bottom,
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const vector<Blob<Dtype>*>& top);
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virtual inline const char* type() const { return "PoseData"; }
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virtual inline int ExactNumBottomBlobs() const { return 0; }
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virtual inline int ExactNumTopBlobs() const { return 2; }
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virtual void AddDatumVector(const vector<Datum>& datum_vector);
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virtual void AddMatVector(const vector<cv::Mat>& mat_vector,
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const vector<float>& labels);
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// Reset should accept const pointers, but can't, because the memory
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// will be given to Blob, which is mutable
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void Reset(Dtype* data, Dtype* label, int n);
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void set_batch_size(int new_size);
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int batch_size() { return batch_size_; }
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int channels() { return channels_; }
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int height() { return height_; }
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int width() { return width_; }
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protected:
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virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
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const vector<Blob<Dtype>*>& top);
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int batch_size_, channels_, height_, width_, size_;
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Dtype* data_;
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Dtype* labels_;
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int n_;
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size_t pos_;
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Blob<Dtype> added_data_;
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Blob<Dtype> added_label_;
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bool has_new_data_;
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};
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} // namespace caffe
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#endif
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