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|
/*
* horizon_steerer.cpp
*
* Copyright 2012 Florian Jung <florian.a.jung@web.de>
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License Version 3
* as published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
* MA 02110-1301, USA.
*/
#include <stdlib.h>
#include <stdio.h>
#include <iostream>
#include <math.h>
#include <opencv2/opencv.hpp>
#include "horizon_steerer.h"
#include "util.h"
using namespace std;
using namespace cv;
HorizonSteerer::HorizonSteerer(int xlen_, int ylen_)
{
xlen=xlen_;
ylen=ylen_;
my_contour_map=new int*[xlen];
for (int i=0;i<xlen;i++)
my_contour_map[i]=new int[ylen];
erode_kernel = circle_mat(10);
}
void HorizonSteerer::process_image(const Mat& img_)
{
Mat img;
img_.copyTo(img);
int area_abs;
double area_ratio = only_retain_largest_region(img, &area_abs);
if (area_ratio<0) // no road detected at all?
{
steer_value=0.0;
confidence=0.0;
return;
}
Mat tmp;
dilate(img, tmp, erode_kernel);
erode(tmp, img, erode_kernel);
Mat drawing;
find_steering_point(img, Point(img.cols/2, img.rows-2*img.rows/5), my_contour_map, drawing, &confidence);
steer_value=0.0; // TODO
imshow("drawing",drawing);
}
double HorizonSteerer::get_steer_data() { return steer_value; }
double HorizonSteerer::get_confidence() { return confidence; }
static void set_pixel(Mat m, Point p, Scalar color)
{
line(m,p,p,color);
}
int HorizonSteerer::find_intersection_index(int x0, int y0, int x1, int y1, int** contour_map, bool stop_at_endpoint) // bresenham aus der dt. wikipedia
// returns: the point's index where the intersection happened, or a negative number if no intersection.
{
int dx = abs(x1-x0), sx = x0<x1 ? 1 : -1;
int dy = -abs(y1-y0), sy = y0<y1 ? 1 : -1;
int err = dx+dy, e2; /* error value e_xy */
for(;;)
{
if (x0<0 || x0>=xlen || y0<0 || y0>=ylen) return -1;
if (contour_map[x0][y0]>0) return contour_map[x0][y0]; // found intersection?
if (y0+1<ylen && contour_map[x0][y0+1]>0) return contour_map[x0][y0+1];
if (x0+1<xlen && contour_map[x0+1][y0]>0) return contour_map[x0+1][y0];
if (stop_at_endpoint && x0==x1 && y0==y1) return -1;
e2 = 2*err;
if (e2 > dy) { err += dy; x0 += sx; } /* e_xy+e_x > 0 */
if (e2 < dx) { err += dx; y0 += sy; } /* e_xy+e_y < 0 */
}
return -1;
}
static void hue2rgb(float hue, int* r, int* g, int* b)
{
double ff;
int i;
if (hue >= 360.0) hue = 0.0;
hue /= 60.0;
i = (int)hue;
ff = hue - i;
int x=ff*255;
switch(i) {
case 0:
*r = 255;
*g = x;
*b = 0;
break;
case 1:
*r = 255-x;
*g = 255;
*b = 0;
break;
case 2:
*r = 0;
*g = 255;
*b = x;
break;
case 3:
*r = 0;
*g = 255-x;
*b = 255;
break;
case 4:
*r = x;
*g = 0;
*b = 255;
break;
case 5:
default:
*r = 255;
*g = 0;
*b = 255-x;
break;
}
}
static double linear(double x, double x1, double y1, double x2, double y2, bool clip=false, double clipmin=INFINITY, double clipmax=INFINITY)
{
if (clipmin==INFINITY) clipmin=y1;
if (clipmax==INFINITY) clipmax=y2;
if (clipmin>clipmax) { int tmp=clipmin; clipmin=clipmax; clipmax=tmp; }
double result = (y2-y1)*(x-x1)/(x2-x1)+y1;
if (clip)
{
if (result>clipmax) return clipmax;
else if (result<clipmin) return clipmin;
else return result;
}
else
return result;
}
int HorizonSteerer::annotate_regions(Mat img) //img is treated as black/white (0, !=0)
// changes img, and returns the number of found areas
{
int region_index=1; // "0" means "no area"
for (int row = 0; row<img.rows; row++)
{
uchar* data=img.ptr<uchar>(row);
for (int col=0; col<img.cols;col++)
{
if (*data==255)
{
floodFill(img, Point(col,row), region_index);
region_index++;
}
data++;
}
}
return region_index-1;
}
Mat HorizonSteerer::nicely_draw_regions(Mat annotated, int* area_cnt, int total_area_cnt, int largest_region)
{
Mat result;
annotated.copyTo(result);
// Das ist nur zum schönsein.
for (int row=0; row<result.rows; row++)
{
uchar* data=result.ptr<uchar>(row);
for (int col=0; col<result.cols;col++)
{
if (*data)
{
long long tmp = (long long)30000*(long)area_cnt[*data-1]/(long)total_area_cnt + 64;
if (tmp>200) tmp=200;
if (*data==largest_region) tmp=255;
*data=tmp;
}
data++;
}
}
}
double HorizonSteerer::only_retain_largest_region(Mat img, int* size)
// img is a binary image
// in *size, if non-NULL, the size of the largest area is stored.
// returns: ratio between the second-largest and largest region
// 0.0 means "that's the only region", 1.0 means "both had the same size!"
// negative values mean "no area at all!"
// can be interpreted as 1.0 - "confidence".
{
int n_regions = annotate_regions(img);
if (n_regions == 0) return -1;
// calculate the area of each region
int* area_cnt = new int[n_regions]; // TODO: hier könnt man optimieren, wenn area_cnt==1
for (int i=0;i<n_regions;i++) area_cnt[i]=0;
int total_area_cnt=0;
for (int row=0; row<img.rows; row++)
{
uchar* data=img.ptr<uchar>(row);
for (int col=0; col<img.cols;col++)
{
if (*data)
{
area_cnt[*data-1]++;
total_area_cnt++;
}
data++;
}
}
// finde die größte und zweitgrößte fläche
int maxi=0, maxa=area_cnt[0], maxi2=-1;
for (int i=1;i<n_regions;i++)
{
if (area_cnt[i]>=maxa)
{
maxa=area_cnt[i];
maxi2=maxi;
maxi=i;
}
}
// lösche alle bis auf die größte fläche
for (int row = 0; row<img.rows; row++)
{
uchar* data=img.ptr<uchar>(row);
for (int col=0; col<img.cols;col++)
{
if (*data)
{
if (*data!=maxi+1) *data=0; else *data=255;
}
data++;
}
}
if (size) *size=area_cnt[maxi];
if (maxi2==-1) return 0;
else return (double)area_cnt[maxi2]/(double)area_cnt[maxi];
}
vector<Point>& HorizonSteerer::prepare_and_get_contour(vector< vector<Point> >& contours, const vector<Vec4i>& hierarchy,
int* low_y, int* low_idx, int* high_y, int* first_nonbottom_idx)
{
assert(low_y!=NULL);
assert(low_idx!=NULL);
assert(high_y!=NULL);
assert(first_nonbottom_idx!=NULL);
assert(contours.size()>=1);
// find index of our road contour
int road_contour_idx=-1;
for (road_contour_idx=0; road_contour_idx<contours.size(); road_contour_idx++)
if (hierarchy[road_contour_idx][3]<0) // this will be true for exactly one road_contour_idx.
break;
assert(road_contour_idx>=0 && road_contour_idx<contours.size());
assert(contours[road_contour_idx].size()>0);
vector<Point>& contour = contours[road_contour_idx]; // just a shorthand
// our road is now in contour.
// find highest and lowest contour point. (where "low" means high y-coordinate)
*low_y=0; *low_idx=0;
*high_y=ylen;
for (int j=0;j<contour.size(); j++)
{
if (contour[j].y > *low_y)
{
*low_y=contour[j].y;
*low_idx=j;
}
if (contour[j].y < *high_y)
{
*high_y=contour[j].y;
}
}
// make the contour go "from bottom upwards and then downwards back to bottom".
std::rotate(contour.begin(),contour.begin()+*low_idx,contour.end());
*first_nonbottom_idx = 0;
for (;*first_nonbottom_idx<contour.size();(*first_nonbottom_idx)++)
if (contour[*first_nonbottom_idx].y < contour[0].y-1) break;
assert(*first_nonbottom_idx>=0);
if (!(*first_nonbottom_idx<contour.size()))
{
cout << "THIS REALLY SHOULD NOT HAPPEN: no nonbottom contour point found!" << endl;
}
// indices 0 to *first_nonbottom_idx-1 is now the bottom line of our contour.
return contour;
}
void HorizonSteerer::init_contour_map(const vector<Point>& contour, int** contour_map)
{
assert(contour_map!=NULL);
for (int j=0;j<xlen;j++) // zero it
memset(contour_map[j],0,ylen*sizeof(**contour_map));
for (int j=0;j<contour.size(); j++) // fill it
contour_map[contour[j].x][contour[j].y]=j;
}
// returns a new double[]
double* HorizonSteerer::calc_contour_angles(const vector<Point>& contour, int first_nonbottom_idx, int smoothen_middle, int smoothen_bottom)
{
// calculate directional angle for each nonbottom contour point
double* angles = new double[contour.size()];
for (int j=first_nonbottom_idx; j<contour.size(); j++)
{
int smoothen=linear(contour[j].y, ylen/2 ,smoothen_middle, ylen,smoothen_bottom, true);
// calculate left and right point for the difference quotient, possibly wrap.
int j1=(j+smoothen); while (j1 >= contour.size()) j1-=contour.size();
int j2=(j-smoothen); while (j2 < 0) j2+=contour.size();
// calculate angle, adjust it to be within [0, 360)
angles[j] = atan2(contour[j1].y - contour[j2].y, contour[j1].x - contour[j2].x) * 180/3.141592654;
if (angles[j]<0) angles[j]+=360;
}
return angles;
}
// returns a new double[] or NULL, if contour is too small
double* HorizonSteerer::calc_angle_deriv(double* angles, int first_nonbottom_idx, int size, int ang_smooth)
{
if (first_nonbottom_idx+ang_smooth >= size-ang_smooth) return NULL; // not enough data for deriving!
// calculate derivative of angle for each nonbottom contour point
double* angle_derivative = new double[size];
for (int j=first_nonbottom_idx+ang_smooth; j<size-ang_smooth; j++)
{
// calculate angular difference, adjust to be within [0;360) and take the shorter way.
double ang_diff = angles[j+ang_smooth]-angles[j-ang_smooth];
while (ang_diff<0) ang_diff+=360;
while (ang_diff>=360) ang_diff-=360;
if (ang_diff>=180) ang_diff=360-ang_diff;
angle_derivative[j] = (double)ang_diff / ang_smooth;
}
// poorly extrapolate the ang_smooth margins
for (int j=first_nonbottom_idx; j<first_nonbottom_idx+ang_smooth; j++) angle_derivative[j]=angle_derivative[first_nonbottom_idx+ang_smooth];
for (int j=size-ang_smooth; j<size; j++) angle_derivative[j]=angle_derivative[size-ang_smooth-1];
return angle_derivative;
}
// returns *bestquality_j or -1 on failure
int HorizonSteerer::find_bestquality_index(const vector<Point>& contour, double* angle_derivative, int high_y, int first_nonbottom_idx, Mat& drawing,
int* bestquality_j_out, int* bestquality_width_out, int* bestquality_out, int* bestquality_max_out)
{
assert(bestquality_out!=NULL);
assert(bestquality_j_out!=NULL);
assert(bestquality_width_out!=NULL);
double lastmax=-999999; // TODO that sucks :/
double bestquality=0.0;
double bestquality_max=0.0;
int bestquality_j=-1;
int bestquality_width=0;
#define MAX_HYST 0.8
// search for "maximum regions"; i.e. intervals [a,b] with
// ang_deriv[i] >= MAX_HYST * max_deriv \forall i \in [a,b] and
// ang_deriv[a-1,2,3], ang_deriv[b+1,2,3] < MAX_HYST * max_deriv
// where max_deriv = max_{i \in [a,b]} ang_deriv[i];
// if contour.size() is too small, the for loop is never executed, and bestquality_j stays -1.
for (int j=3; j<(int)contour.size()-3; j++)
{
// search forward for a maximum, and the end of a maximum region.
if (angle_derivative[j] > lastmax) lastmax=angle_derivative[j];
if (angle_derivative[j] < MAX_HYST*lastmax && // found the end of the max. region
angle_derivative[j+1] < MAX_HYST*lastmax &&
angle_derivative[j+2] < MAX_HYST*lastmax)
{
if (lastmax > 7) // threshold the maximum.
{
// search backward for the begin of that maximum region
int j0;
for (j0=j-1; j0>=0; j0--)
if (angle_derivative[j0] < MAX_HYST*lastmax &&
angle_derivative[j0-1] < MAX_HYST*lastmax &&
angle_derivative[j0-2] < MAX_HYST*lastmax)
break;
// maximum region is [j0; j]
double median_of_max_region = (double)angle_derivative[(j+j0)/2];
// calculate quality of that maximum. quality is high, if
// 1) the maximum has a high value AND
// 2) the corresponding point's y-coordinates are near the top image border AND
// 3) the corresponding point's x-coordinates are near the middle of the image, if in doubt
int middle_x = xlen/2;
int distance_from_middle_x = abs(xlen/2 - contour[j].x);
double quality = lastmax
* linear( contour[j].y, high_y, 1.0, high_y+ (ylen-high_y)/10, 0.0, true) // excessively punish points far away from the top border
* linear( distance_from_middle_x, 0.8*middle_x, 1.0, middle_x, 0.6, true); // moderately punish point far away from the x-middle.
// keep track of the best point
if (quality>bestquality)
{
bestquality=quality;
bestquality_max=lastmax;
bestquality_j=(j+j0)/2;
bestquality_width=j-j0;
}
// irrelevant drawing stuff
int x=drawing.cols-drawing.cols*((j+j0)/2-first_nonbottom_idx)/(contour.size()-first_nonbottom_idx);
line(drawing, Point(x,25+40-3*quality), Point(x, 25+40), Scalar(0,255,0));
circle(drawing, contour[(j+j0)/2], 1, Scalar(128,0,0));
}
lastmax=-999999; // reset lastmax, so the search can go on. TODO: ugly.
}
}
// now bestquality_j holds the index of the point with the best quality or -1 upon failure
*bestquality_out = bestquality;
*bestquality_max_out = bestquality_max;
*bestquality_j_out = bestquality_j;
*bestquality_width_out = bestquality_width;
return bestquality_j;
}
// returns index of ideal steering point or -1 on failure
int HorizonSteerer::find_ideal_line(vector<Point>& contour, Point origin_point, int** contour_map, int bestquality_j)
// TODO: this code is crappy, slow, and uses brute force. did i mention it's crappy and slow?
{
assert(bestquality_j>=0 && bestquality_j<contour.size());
assert(contour_map!=NULL);
int intersection = find_intersection_index(origin_point.x, origin_point.y,
contour[bestquality_j].x, contour[bestquality_j].y, contour_map);
int steering_point=-1;
if (intersection<0)
{
cout << "THIS CAN NEVER HAPPEN" << endl;
return -1;
}
else
{
int xx=contour[bestquality_j].x;
int lastheight=-1;
if (intersection < bestquality_j) // too far on the right == intersecting the right border
{
// rotate the line to the left till it gets better
for (; xx>=0; xx--)
{
int intersection2 = find_intersection_index(origin_point.x, origin_point.y, xx, contour[bestquality_j].y, contour_map, false);
if (intersection2<0) // won't happen anyway
{
cout << "SHOULD NOT HAPPEN: no intersection" << endl;
break;
}
else if (intersection2>=bestquality_j) // now we intersect the opposite (=left) border
{
if (contour[intersection2].y>=lastheight) // we intersect at a lower = worse point?
xx++; // then undo the last step
break;
}
lastheight=contour[intersection2].y;
}
}
else if (intersection > bestquality_j) // too far on the left == intersecting the left border
{
// rotate the line to the right till it gets better
for (; xx<xlen; xx++)
{
int intersection2 = find_intersection_index(origin_point.x, origin_point.y, xx, contour[bestquality_j].y, contour_map, false);
if (intersection2<0) // won't happen anyway
{
cout << "SHOULD NOT HAPPEN: no intersection" << endl;
break;
}
else if (intersection2<=bestquality_j) // now we intersect the opposite (=right) border
{
if (contour[intersection2].y>=lastheight) // we intersect at a lower = worse point?
xx--; // then undo the last step
break;
}
lastheight=contour[intersection2].y;
}
}
// else // we directly met the bestquality point, i.e. where we wanted to go to.
// do nothing
return find_intersection_index(origin_point.x,origin_point.y, xx, contour[bestquality_j].y, contour_map, false);
}
}
void HorizonSteerer::draw_angles_and_contour(Mat drawing, vector< vector<Point> >& contours, const vector<Vec4i>& hierarchy, int first_nonbottom_idx, vector<Point>& contour,
double* angles, double* angle_derivative)
{
// Draw contours
drawContours(drawing, contours, -1, Scalar(255,0,0), 1, 8, hierarchy);
// draw the angles
for (int j=first_nonbottom_idx; j<contour.size(); j++)
{
int x=drawing.cols-drawing.cols*(j-first_nonbottom_idx)/(contour.size()-first_nonbottom_idx);
// draw angle as color bar
int r,g,b;
hue2rgb(angles[j], &r, &g, &b);
line(drawing,Point(x,0), Point(x,10), Scalar(b,g,r));
// draw derivation of angle as color bar
int c=abs(20* angle_derivative[j]);
Scalar col=(c<256) ? Scalar(255-c,255-c,255) : Scalar(255,0,255);
line(drawing, Point(x,12), Point(x,22), col);
// and as x-y-graph
int y=25+40-2*angle_derivative[j];
set_pixel(drawing, Point(x,y), Scalar(255,255,255));
// draw into contour
//circle(drawing, contour[j], 2, col);
set_pixel(drawing, contour[j], col);
}
}
void HorizonSteerer::draw_it_all(Mat drawing, vector< vector<Point> >& contours, const vector<Vec4i>& hierarchy, int first_nonbottom_idx, vector<Point>& contour,
double* angles, double* angle_derivative, int bestquality_j, int bestquality_width, int bestquality,
int steering_point, Point origin_point, double confidence)
{
draw_angles_and_contour(drawing, contours, hierarchy, first_nonbottom_idx, contour, angles, angle_derivative);
// draw the point where the left touches the right road border
circle(drawing, contour[bestquality_j], 3, Scalar(255,255,0));
circle(drawing, contour[bestquality_j], 2, Scalar(255,255,0));
circle(drawing, contour[bestquality_j], 1, Scalar(255,255,0));
circle(drawing, contour[bestquality_j], 0, Scalar(255,255,0));
// draw the detected left and right border. low saturation means
// a worse detection result
int antisaturation = 200-(200* bestquality/10.0);
if (antisaturation<0) antisaturation=0;
for (int j=0;j<bestquality_j-bestquality_width/2;j++)
set_pixel(drawing, contour[j], Scalar(255,antisaturation,255));
for (int j=bestquality_j+bestquality_width/2;j<contour.size();j++)
set_pixel(drawing, contour[j], Scalar(antisaturation,255,antisaturation));
// a direct line to where left touches right
line(drawing, contour[bestquality_j], origin_point, Scalar(0,64,64));
if (steering_point>=0) // should be always true
line(drawing, contour[steering_point], origin_point, Scalar(0,255,255));
rectangle(drawing, Point(0.25*xlen-2, 100-2), Point (0.75*xlen+2, 150+2), Scalar(255,255,255));
rectangle(drawing, Point(0.25*xlen, 100), Point ((0.25+0.5*confidence)*xlen, 150), Scalar(0,0,200*confidence+50), CV_FILLED);
}
#define SMOOTHEN_BOTTOM 20
#define SMOOTHEN_MIDDLE 7
#define ANG_SMOOTH 9
// return the index of the point to steer to, or -1 upon error
int HorizonSteerer::find_steering_point(Mat orig_img, Point origin_point, int** contour_map, Mat& drawing, double* confidence)
// orig_img is a binary image with only one region
// confidence is between 0.0 (not sure at all) and 1.0 (definitely sure)
{
assert(confidence!=NULL);
assert(contour_map!=NULL);
Mat img;
orig_img.copyTo(img); // this is needed because findContours destroys its input.
drawing = Mat::zeros( img.size(), CV_8UC3 );
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours(img, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_NONE, Point(0, 0));
assert(contours.size()>=1);
int low_y, low_idx, high_y, first_nonbottom_idx;
vector<Point>& contour = prepare_and_get_contour(contours, hierarchy,
&low_y, &low_idx, &high_y, &first_nonbottom_idx);
if (! (first_nonbottom_idx<contour.size()))
{
drawContours(drawing, contours, -1, Scalar(255,0,0), 1, 8, hierarchy);
*confidence=0.0;
return -1;
}
init_contour_map(contour, contour_map);
double* angles = calc_contour_angles(contour, first_nonbottom_idx, SMOOTHEN_MIDDLE, SMOOTHEN_BOTTOM);
double* angle_derivative = calc_angle_deriv(angles, first_nonbottom_idx, contour.size(), ANG_SMOOTH);
if (angle_derivative == NULL)
{
drawContours(drawing, contours, -1, Scalar(255,0,0), 1, 8, hierarchy);
*confidence=0.0;
delete [] angles;
return -1;
}
int bestquality, bestquality_j, bestquality_width, bestquality_max;
if (0 > find_bestquality_index(contour, angle_derivative, high_y, first_nonbottom_idx, drawing,
&bestquality_j, &bestquality_width, &bestquality, &bestquality_max))
{
draw_angles_and_contour(drawing, contours, hierarchy, first_nonbottom_idx, contour, angles, angle_derivative);
*confidence=0.0;
delete [] angles;
delete [] angle_derivative;
return -1;
}
// now we have a naive steering point. the way to it might lead
// us offroad, however.
int steering_point=find_ideal_line(contour, origin_point, contour_map, bestquality_j);
*confidence = (bestquality-1.0) / 7.0;
if (*confidence<0.0) *confidence=0;
if (*confidence>1.0) *confidence=1.0;
draw_it_all(drawing, contours, hierarchy, first_nonbottom_idx, contour, angles, angle_derivative,bestquality_j,bestquality_width,bestquality_max,steering_point, origin_point, *confidence);
cout << bestquality << "\t" << bestquality_max<<endl;
delete [] angle_derivative;
delete [] angles;
return steering_point;
}
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