source: cpp/frams/canvas/nn_layout.h @ 135

Last change on this file since 135 was 135, checked in by sz, 6 years ago

neuron layout algorithm (for schematic drawing), usage example in frams/_demos/neuro_layout_test.cpp

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1#ifndef _NN_LAYOUT_H_
2#define _NN_LAYOUT_H_
3
4/// abstract neural network layout state
5class NNLayoutState
6{
7public:
8
9        // layout function calls these to inquire about neuron connections:
10        virtual int GetElements() = 0;          ///< @return number of elements (neurons)
11        virtual int GetInputs(int el) = 0;      ///< @return number of inputs in element 'el' (referred to as 'N' in subsequent descriptions)
12        virtual int GetLink(int el, int i) = 0; ///< @return index of element connected with i-th input of el-th element, or -1 if there is no connection
13
14        // could be useful to refine element placement, but not really used by any layout function:
15        virtual int *GetLinkXY(int el, int i) = 0;      ///< @return relative coordinates of i-th input (or output when i==number of inputs) in el-th element (ret[0],[1]=x,y). unlike other methods, this information depends on the specific neuron drawing code, that's why NNLayoutState is abstract and can be implemented in context of a network drawing component.
16
17        // layout function calls this to place neurons:
18        virtual void SetXYWH(int el, int x, int y, int w, int h) = 0;   // set element position and size
19
20        // layout function user can use this to retrieve the resulting element layout:
21        virtual int *GetXYWH(int el) = 0;               ///< @return current element (el=0..N-1) position and size ret[0],[1],[2],[3]=x,y,w,h
22};
23
24struct NNLayoutFunction
25{
26        const char *name;
27        void(*doLayout)(NNLayoutState*);
28};
29
30extern struct NNLayoutFunction nn_layout_functions[];
31
32#endif
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