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opencv/samples/cpp/stereo_match.cpp
Vadim Pisarevsky d6c699c014 calib3d module in opencv is split into 3 modules: 3d, calib and stereo. 
stereo module in opencv_contrib is renamed to xstereo
2020-12-01 23:42:15 +03:00

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/*
* stereo_match.cpp
* calibration
*
* Created by Victor Eruhimov on 1/18/10.
* Copyright 2010 Argus Corp. All rights reserved.
*
*/
#include "opencv2/3d.hpp"
#include "opencv2/stereo.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core/utility.hpp"
#include <stdio.h>
#include <sstream>
using namespace cv;
static void print_help(char** argv)
{
printf("\nDemo stereo matching converting L and R images into disparity and point clouds\n");
printf("\nUsage: %s <left_image> <right_image> [--algorithm=bm|sgbm|hh|hh4|sgbm3way] [--blocksize=<block_size>]\n"
"[--max-disparity=<max_disparity>] [--scale=scale_factor>] [-i=<intrinsic_filename>] [-e=<extrinsic_filename>]\n"
"[--no-display] [--color] [-o=<disparity_image>] [-p=<point_cloud_file>]\n", argv[0]);
}
static void saveXYZ(const char* filename, const Mat& mat)
{
const double max_z = 1.0e4;
FILE* fp = fopen(filename, "wt");
for(int y = 0; y < mat.rows; y++)
{
for(int x = 0; x < mat.cols; x++)
{
Vec3f point = mat.at<Vec3f>(y, x);
if(fabs(point[2] - max_z) < FLT_EPSILON || fabs(point[2]) > max_z) continue;
fprintf(fp, "%f %f %f\n", point[0], point[1], point[2]);
}
}
fclose(fp);
}
int main(int argc, char** argv)
{
std::string img1_filename = "";
std::string img2_filename = "";
std::string intrinsic_filename = "";
std::string extrinsic_filename = "";
std::string disparity_filename = "";
std::string point_cloud_filename = "";
enum { STEREO_BM=0, STEREO_SGBM=1, STEREO_HH=2, STEREO_VAR=3, STEREO_3WAY=4, STEREO_HH4=5 };
int alg = STEREO_SGBM;
int SADWindowSize, numberOfDisparities;
bool no_display;
bool color_display;
float scale;
Ptr<StereoBM> bm = StereoBM::create(16,9);
Ptr<StereoSGBM> sgbm = StereoSGBM::create(0,16,3);
cv::CommandLineParser parser(argc, argv,
"{@arg1||}{@arg2||}{help h||}{algorithm||}{max-disparity|0|}{blocksize|0|}{no-display||}{color||}{scale|1|}{i||}{e||}{o||}{p||}");
if(parser.has("help"))
{
print_help(argv);
return 0;
}
img1_filename = samples::findFile(parser.get<std::string>(0));
img2_filename = samples::findFile(parser.get<std::string>(1));
if (parser.has("algorithm"))
{
std::string _alg = parser.get<std::string>("algorithm");
alg = _alg == "bm" ? STEREO_BM :
_alg == "sgbm" ? STEREO_SGBM :
_alg == "hh" ? STEREO_HH :
_alg == "var" ? STEREO_VAR :
_alg == "hh4" ? STEREO_HH4 :
_alg == "sgbm3way" ? STEREO_3WAY : -1;
}
numberOfDisparities = parser.get<int>("max-disparity");
SADWindowSize = parser.get<int>("blocksize");
scale = parser.get<float>("scale");
no_display = parser.has("no-display");
color_display = parser.has("color");
if( parser.has("i") )
intrinsic_filename = parser.get<std::string>("i");
if( parser.has("e") )
extrinsic_filename = parser.get<std::string>("e");
if( parser.has("o") )
disparity_filename = parser.get<std::string>("o");
if( parser.has("p") )
point_cloud_filename = parser.get<std::string>("p");
if (!parser.check())
{
parser.printErrors();
return 1;
}
if( alg < 0 )
{
printf("Command-line parameter error: Unknown stereo algorithm\n\n");
print_help(argv);
return -1;
}
if ( numberOfDisparities < 1 || numberOfDisparities % 16 != 0 )
{
printf("Command-line parameter error: The max disparity (--maxdisparity=<...>) must be a positive integer divisible by 16\n");
print_help(argv);
return -1;
}
if (scale < 0)
{
printf("Command-line parameter error: The scale factor (--scale=<...>) must be a positive floating-point number\n");
return -1;
}
if (SADWindowSize < 1 || SADWindowSize % 2 != 1)
{
printf("Command-line parameter error: The block size (--blocksize=<...>) must be a positive odd number\n");
return -1;
}
if( img1_filename.empty() || img2_filename.empty() )
{
printf("Command-line parameter error: both left and right images must be specified\n");
return -1;
}
if( (!intrinsic_filename.empty()) ^ (!extrinsic_filename.empty()) )
{
printf("Command-line parameter error: either both intrinsic and extrinsic parameters must be specified, or none of them (when the stereo pair is already rectified)\n");
return -1;
}
if( extrinsic_filename.empty() && !point_cloud_filename.empty() )
{
printf("Command-line parameter error: extrinsic and intrinsic parameters must be specified to compute the point cloud\n");
return -1;
}
int color_mode = alg == STEREO_BM ? 0 : -1;
Mat img1 = imread(img1_filename, color_mode);
Mat img2 = imread(img2_filename, color_mode);
if (img1.empty())
{
printf("Command-line parameter error: could not load the first input image file\n");
return -1;
}
if (img2.empty())
{
printf("Command-line parameter error: could not load the second input image file\n");
return -1;
}
if (scale != 1.f)
{
Mat temp1, temp2;
int method = scale < 1 ? INTER_AREA : INTER_CUBIC;
resize(img1, temp1, Size(), scale, scale, method);
img1 = temp1;
resize(img2, temp2, Size(), scale, scale, method);
img2 = temp2;
}
Size img_size = img1.size();
Rect roi1, roi2;
Mat Q;
if( !intrinsic_filename.empty() )
{
// reading intrinsic parameters
FileStorage fs(intrinsic_filename, FileStorage::READ);
if(!fs.isOpened())
{
printf("Failed to open file %s\n", intrinsic_filename.c_str());
return -1;
}
Mat M1, D1, M2, D2;
fs["M1"] >> M1;
fs["D1"] >> D1;
fs["M2"] >> M2;
fs["D2"] >> D2;
M1 *= scale;
M2 *= scale;
fs.open(extrinsic_filename, FileStorage::READ);
if(!fs.isOpened())
{
printf("Failed to open file %s\n", extrinsic_filename.c_str());
return -1;
}
Mat R, T, R1, P1, R2, P2;
fs["R"] >> R;
fs["T"] >> T;
stereoRectify( M1, D1, M2, D2, img_size, R, T, R1, R2, P1, P2, Q, STEREO_ZERO_DISPARITY, -1, img_size, &roi1, &roi2 );
Mat map11, map12, map21, map22;
initUndistortRectifyMap(M1, D1, R1, P1, img_size, CV_16SC2, map11, map12);
initUndistortRectifyMap(M2, D2, R2, P2, img_size, CV_16SC2, map21, map22);
Mat img1r, img2r;
remap(img1, img1r, map11, map12, INTER_LINEAR);
remap(img2, img2r, map21, map22, INTER_LINEAR);
img1 = img1r;
img2 = img2r;
}
numberOfDisparities = numberOfDisparities > 0 ? numberOfDisparities : ((img_size.width/8) + 15) & -16;
bm->setROI1(roi1);
bm->setROI2(roi2);
bm->setPreFilterCap(31);
bm->setBlockSize(SADWindowSize > 0 ? SADWindowSize : 9);
bm->setMinDisparity(0);
bm->setNumDisparities(numberOfDisparities);
bm->setTextureThreshold(10);
bm->setUniquenessRatio(15);
bm->setSpeckleWindowSize(100);
bm->setSpeckleRange(32);
bm->setDisp12MaxDiff(1);
sgbm->setPreFilterCap(63);
int sgbmWinSize = SADWindowSize > 0 ? SADWindowSize : 3;
sgbm->setBlockSize(sgbmWinSize);
int cn = img1.channels();
sgbm->setP1(8*cn*sgbmWinSize*sgbmWinSize);
sgbm->setP2(32*cn*sgbmWinSize*sgbmWinSize);
sgbm->setMinDisparity(0);
sgbm->setNumDisparities(numberOfDisparities);
sgbm->setUniquenessRatio(10);
sgbm->setSpeckleWindowSize(100);
sgbm->setSpeckleRange(32);
sgbm->setDisp12MaxDiff(1);
if(alg==STEREO_HH)
sgbm->setMode(StereoSGBM::MODE_HH);
else if(alg==STEREO_SGBM)
sgbm->setMode(StereoSGBM::MODE_SGBM);
else if(alg==STEREO_HH4)
sgbm->setMode(StereoSGBM::MODE_HH4);
else if(alg==STEREO_3WAY)
sgbm->setMode(StereoSGBM::MODE_SGBM_3WAY);
Mat disp, disp8;
//Mat img1p, img2p, dispp;
//copyMakeBorder(img1, img1p, 0, 0, numberOfDisparities, 0, IPL_BORDER_REPLICATE);
//copyMakeBorder(img2, img2p, 0, 0, numberOfDisparities, 0, IPL_BORDER_REPLICATE);
int64 t = getTickCount();
float disparity_multiplier = 1.0f;
if( alg == STEREO_BM )
{
bm->compute(img1, img2, disp);
if (disp.type() == CV_16S)
disparity_multiplier = 16.0f;
}
else if( alg == STEREO_SGBM || alg == STEREO_HH || alg == STEREO_HH4 || alg == STEREO_3WAY )
{
sgbm->compute(img1, img2, disp);
if (disp.type() == CV_16S)
disparity_multiplier = 16.0f;
}
t = getTickCount() - t;
printf("Time elapsed: %fms\n", t*1000/getTickFrequency());
//disp = dispp.colRange(numberOfDisparities, img1p.cols);
if( alg != STEREO_VAR )
disp.convertTo(disp8, CV_8U, 255/(numberOfDisparities*16.));
else
disp.convertTo(disp8, CV_8U);
Mat disp8_3c;
if (color_display)
cv::applyColorMap(disp8, disp8_3c, COLORMAP_TURBO);
if(!disparity_filename.empty())
imwrite(disparity_filename, color_display ? disp8_3c : disp8);
if(!point_cloud_filename.empty())
{
printf("storing the point cloud...");
fflush(stdout);
Mat xyz;
Mat floatDisp;
disp.convertTo(floatDisp, CV_32F, 1.0f / disparity_multiplier);
reprojectImageTo3D(floatDisp, xyz, Q, true);
saveXYZ(point_cloud_filename.c_str(), xyz);
printf("\n");
}
if( !no_display )
{
std::ostringstream oss;
oss << "disparity " << (alg==STEREO_BM ? "bm" :
alg==STEREO_SGBM ? "sgbm" :
alg==STEREO_HH ? "hh" :
alg==STEREO_VAR ? "var" :
alg==STEREO_HH4 ? "hh4" :
alg==STEREO_3WAY ? "sgbm3way" : "");
oss << " blocksize:" << (alg==STEREO_BM ? SADWindowSize : sgbmWinSize);
oss << " max-disparity:" << numberOfDisparities;
std::string disp_name = oss.str();
namedWindow("left", cv::WINDOW_NORMAL);
imshow("left", img1);
namedWindow("right", cv::WINDOW_NORMAL);
imshow("right", img2);
namedWindow(disp_name, cv::WINDOW_AUTOSIZE);
imshow(disp_name, color_display ? disp8_3c : disp8);
printf("press ESC key or CTRL+C to close...");
fflush(stdout);
printf("\n");
while(1)
{
if(waitKey() == 27) //ESC (prevents closing on actions like taking screenshots)
break;
}
}
return 0;
}
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