Repository for OpenCV's extra modules
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#ifndef __OPENCV_DNN_HPP__
#define __OPENCV_DNN_HPP__
#include <opencv2/core.hpp>
#include <map>
#include <vector>
namespace cv
{
namespace dnn
{
class Layer;
class NetConfiguration;
class Net;
class Blob;
class LayerParams;
//wrapper over cv::Mat and cv::UMat
class Blob : public _InputOutputArray
{
public:
Blob(Mat &in);
Blob(const Mat &in);
Blob(UMat &in);
Blob(const UMat &in);
int width() const; //cols
int height() const; //rows
int channels() const;
int num() const;
Vec4i size() const;
};
class LayerParams
{
struct Value
{
int type;
union
{
int i;
double d;
String *s;
Mat *m;
} data;
};
//TODO: maybe this mechanism was realized somewhere in OpenCV?
std::map<String, Value> params;
public:
std::vector<Blob> learnedWeights;
template<typename T>
T get(const String &name);
};
//this class allows to build new Layers
class Layer : public Algorithm
{
public:
//Layer registration routines
typedef Layer* (*Constuctor)();
static void registerLayer(const String &type, Constuctor constructor);
static void unregisterLayer(const String &type);
static Ptr<Layer> createLayerInstance(const String &type);
public:
//TODO: this field must be declared as public if we want support possibility to change these params in runtime
std::vector<Blob> learnedParams;
virtual ~Layer();
//type of Layer
virtual String type() const;
//setUp calls once (think that it's constructor)
virtual void setUp(LayerParams &params);
//after setUp the following two function must be able to return values
virtual int getNumInputs();
virtual int getNumOutputs();
//maybe useless function
//shape of output blobs must be adjusted with respect to shape of input blobs
virtual void adjustShape(const std::vector<Blob> &inputs, std::vector<Blob> &outputs);
virtual void forward(std::vector<Blob> &inputs, std::vector<Blob> &outputs);
private:
static std::map<String, Constuctor> registeredLayers;
};
//TODO: divide NetConfiguration interface and implementation, hide internal data
//TODO: maybe eliminate all int ids and replace them by string names
//Proxy class for different formats
//Each format importer must populate it
class NetConfiguration
{
public:
static Ptr<NetConfiguration> create();
int addLayer(const String &name, const String &type);
void deleteLayer(int layerId);
void setLayerParams(int layerId, LayerParams &params);
//each output of each layer can be labeled by unique string label (as in Caffe)
//if label not specified then %layer_name%:c_%N% will be used
void setLayerOutputLabels(int layerId, const std::vector<String> &outputNames);
//version #1
void addConnection(int fromLayer, int fromLayerOutput, int toLayer, int toLayerInput);
//or maybe version #2
inline int getBlobId(int layerId, int inputOutputNumber)
{
return (layerId << 16) + inputOutputNumber;
}
void addConnection(int outputId, int inputId);
void addConnections(const std::vector<int> &outputIds, const std::vector<int> &inputIds);
private:
int lastLayerId;
std::map< int, Ptr<Layer> > layers;
std::map< int, std::vector<String> > layerOutputLabels;
};
class Net
{
public:
static Ptr<Net> create(Ptr<NetConfiguration> config);
virtual ~Net();
virtual int getBlobId(int layerId, int outputId);
virtual int getBlobId(const String &blobName);
virtual void forward(std::vector< int, Ptr<Blob> > &inputBlobs, std::vector<int, Ptr<Blob> > &outputBlobs);
virtual void forward(int layer, std::vector<Ptr<Blob> > &layerOutputs);
};
class Importer
{
public:
virtual void populateNetConfiguration(Ptr<NetConfiguration> config) = 0;
virtual ~Importer();
};
Ptr<Importer> createCaffeImporter(const String &prototxt, const String &caffeModel);
}
}
#endif