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Copy pathutil.cpp
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264 lines (233 loc) · 8.61 KB
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#include "util.h"
#include "maxflow-v3.0/graph.h"
#include <iostream>
#include <cmath>
// for 2d images
template<typename T>
T get_pixel(const T * data, int height, int width, int h, int w)
{
return data[h * width + w];
}
template<typename T>
std::vector<T> get_pixel_vector(const T * data, int height, int width, int channel, int h, int w)
{
std::vector<T> pixel_vector(channel);
for (int c = 0; c < channel; c++){
pixel_vector[c]= data[h * width * channel + w * channel + c];
}
return pixel_vector;
}
template<typename T>
void set_pixel(T * data, int height, int width, int h, int w, T value)
{
data[h * width + w] = value;
}
template<typename T>
float get_l2_distance(std::vector<T> p1, std::vector<T> p2)
{
T sq_sum = 0.0;
for(int d = 0; d < p1.size(); d++)
{
sq_sum = sq_sum + (p1[d] - p2[d]) * (p1[d] - p2[d]);
}
float dis = sqrt(sq_sum);
return dis;
}
template
float get_pixel<float>(const float * data, int height, int width, int h, int w);
template
int get_pixel<int>(const int * data, int height, int width, int h, int w);
template
std::vector<float> get_pixel_vector<float>(const float * data, int height, int width, int channel, int h, int w);
template
unsigned char get_pixel<unsigned char>(const unsigned char * data, int height, int width, int h, int w);
template
void set_pixel<float>(float * data, int height, int width, int h, int w, float value);
template
void set_pixel<int>(int * data, int height, int width, int h, int w, int value);
template
void set_pixel<unsigned char>(unsigned char * data, int height, int width, int h, int w, unsigned char value);
template
float get_l2_distance(std::vector<float> p1, std::vector<float> p2);
// for 3d images
template<typename T>
T get_pixel(const T * data, int depth, int height, int width, int d, int h, int w)
{
return data[(d*height + h) * width + w];
}
template<typename T>
std::vector<T> get_pixel_vector(const T * data, int depth, int height, int width, int channel, int d, int h, int w)
{
std::vector<T> pixel_vector(channel);
for (int c = 0; c < channel; c++){
pixel_vector[c]= data[d*height*width*channel + h * width * channel + w * channel + c];
}
return pixel_vector;
}
template<typename T>
void set_pixel(T * data, int depth, int height, int width, int d, int h, int w, T value)
{
data[(d*height + h) * width + w] = value;
}
template
float get_pixel<float>(const float * data, int depth, int height, int width, int d, int h, int w);
template
std::vector<float> get_pixel_vector<float>(const float * data, int depth, int height, int width, int channel, int d, int h, int w);
template
int get_pixel<int>(const int * data, int depth, int height, int width, int d, int h, int w);
template
unsigned char get_pixel<unsigned char>(const unsigned char * data,
int depth, int height, int width,
int d, int h, int w);
template
void set_pixel<float>(float * data, int depth, int height, int width, int d, int h, int w, float value);
template
void set_pixel<int>(int * data, int depth, int height, int width, int d, int h, int w, int value);
template
void set_pixel<unsigned char>(unsigned char * data,
int depth, int height, int width,
int d, int h, int w, unsigned char value);
void maxflow_inference(unsigned char * label, const float* img, const float * prob, const unsigned char * seed,
int H, int W, int chns, int cls, float lambda, float sigma)
{
// currently, only cls == 2 is supported
typedef Graph<float, float, float> GraphType;
/*estimated # of nodes*/ /*estimated # of edges*/
GraphType * g = new GraphType(H*W, 2*H*W);
g->add_node(H*W);
float max_weight = -100000;
for(int x=0; x<H;x++)
{
for(int y=0; y<W;y++)
{
std::vector<float> pValue = get_pixel_vector(img, H, W, chns, x, y);
std::vector<float> qValue;
float l2dis, n_weight;
int pIndex = x*W + y;
int qIndex;
int xn, yn;
int Xoff[2] = {-1, 0};
int Yoff[2] = {0, -1};
for(int i=0; i<2; i++){
xn = x + Xoff[i];
yn = y + Yoff[i];
if(xn < 0 || yn < 0) continue;
qValue = get_pixel_vector(img, H, W, chns, xn, yn);
l2dis = get_l2_distance(pValue, qValue);
n_weight = lambda*exp(-l2dis * l2dis/(2*sigma*sigma));
qIndex = xn*W + yn;
g->add_edge(qIndex,pIndex,n_weight,n_weight);
if(n_weight > max_weight) max_weight = n_weight;
}
}
}
max_weight = 1000 * max_weight;
for(int x=0;x<H;x++)
{
for(int y=0;y<W;y++)
{
bool seed_exist = false;
float s_weight = 1e-3;
float t_weight = 1e-3;
if(seed != NULL)
{
std::vector<unsigned char> label = get_pixel_vector(seed, H, W, 2, x, y);
if(label[0] > 0){
t_weight = max_weight;
seed_exist = true;
}
else if(label[1] > 0){
s_weight = max_weight;
seed_exist = true;
}
}
if(!seed_exist){
std::vector<float> probs = get_pixel_vector(prob, H, W, 2, x, y);
s_weight = -log(probs[0]);
t_weight = -log(probs[1]);
}
int pIndex = x*W + y;
g->add_tweights(pIndex,s_weight,t_weight);
}
}
double flow = g->maxflow();
// cout<<"max flow: "<<flow<<endl;
for(int i=0; i<H*W; i++) label[i] = 1 - g->what_segment(i);
delete g;
}
void maxflow3d_inference(unsigned char * label, const float* img, const float * prob, const unsigned char * seed,
int D, int H, int W, int chns, int cls, float lambda, float sigma)
{
// currently, only cls == 2 is supported
typedef Graph<float, float, float> GraphType;
/*estimated # of nodes*/ /*estimated # of edges*/
GraphType * g = new GraphType(D*H*W, 2*D*H*W);
g->add_node(D*H*W);
float max_weight = -100000;
for(int x=0; x<D; x++)
{
for(int y=0; y<H; y++)
{
for(int z=0; z<W; z++)
{
std::vector<float> pValue = get_pixel_vector(img, D, H, W, chns, x, y, z);
std::vector<float> qValue;
float l2dis, n_weight;
int pIndex = x*H*W + y*W + z;
int qIndex;
int xn, yn, zn;
int Xoff[3] = {-1, 0, 0};
int Yoff[3] = {0, -1, 0};
int Zoff[3] = {0, 0, -1};
for(int i=0; i<3; i++){
xn = x + Xoff[i];
yn = y + Yoff[i];
zn = z + Zoff[i];
if(xn < 0 || yn < 0 || zn < 0) continue;
qValue = get_pixel_vector(img, D, H, W, chns, xn, yn, zn);
l2dis = get_l2_distance(pValue, qValue);
n_weight = lambda*exp(-l2dis * l2dis/(2*sigma*sigma));
qIndex = xn*H*W + yn*W + zn;
g->add_edge(qIndex,pIndex,n_weight,n_weight);
if(n_weight > max_weight) max_weight = n_weight;
}
}
}
}
max_weight = 1000 * max_weight;
for(int x=0; x<D; x++)
{
for(int y=0; y<H; y++)
{
for(int z=0; z<W; z++)
{
bool seed_exist = false;
float s_weight = 1e-3;
float t_weight = 1e-3;
if(seed != NULL)
{
std::vector<unsigned char> label = get_pixel_vector(seed, D, H, W, 2, x, y, z);
if(label[0] > 0){
t_weight = max_weight;
seed_exist = true;
}
else if(label[1] > 0){
s_weight = max_weight;
seed_exist = true;
}
}
if(!seed_exist){
std::vector<float> probs = get_pixel_vector(prob, D, H, W, 2, x, y, z);
s_weight = -log(probs[0]);
t_weight = -log(probs[1]);
}
int pIndex = x*H*W + y*W + z;
g->add_tweights(pIndex,s_weight,t_weight);
}
}
}
double flow = g->maxflow();
// cout<<"max flow: "<<flow<<endl;
for(int i=0; i<D*H*W; i++) label[i] = 1 - g->what_segment(i);
delete g;
}