Open Source Computer Vision Library https://opencv.org/
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/*
*
* select3obj.cpp With a calibration chessboard on a table, mark an object in a 3D box and
* track that object in all subsequent frames as long as the camera can see
* the chessboard. Also segments the object using the box projection. This
* program is useful for collecting large datasets of many views of an object
* on a table.
*
*/
#include "opencv2/core.hpp"
#include <opencv2/core/utility.hpp>
#include "opencv2/imgproc.hpp"
#include "opencv2/calib3d.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include <ctype.h>
#include <stdio.h>
#include <stdlib.h>
using namespace std;
using namespace cv;
const char* helphelp =
"\nThis program's purpose is to collect data sets of an object and its segmentation mask.\n"
"\n"
"It shows how to use a calibrated camera together with a calibration pattern to\n"
"compute the homography of the plane the calibration pattern is on. It also shows grabCut\n"
"segmentation etc.\n"
"\n"
"select3dobj -w=<board_width> -h=<board_height> [-s=<square_size>]\n"
" -i=<camera_intrinsics_filename> -o=<output_prefix>\n"
"\n"
" -w=<board_width> Number of chessboard corners wide\n"
" -h=<board_height> Number of chessboard corners width\n"
" [-s=<square_size>] Optional measure of chessboard squares in meters\n"
" -i=<camera_intrinsics_filename> Camera matrix .yml file from calibration.cpp\n"
" -o=<output_prefix> Prefix the output segmentation images with this\n"
" [video_filename/cameraId] If present, read from that video file or that ID\n"
"\n"
"Using a camera's intrinsics (from calibrating a camera -- see calibration.cpp) and an\n"
"image of the object sitting on a planar surface with a calibration pattern of\n"
"(board_width x board_height) on the surface, we draw a 3D box around the object. From\n"
"then on, we can move a camera and as long as it sees the chessboard calibration pattern,\n"
"it will store a mask of where the object is. We get successive images using <output_prefix>\n"
"of the segmentation mask containing the object. This makes creating training sets easy.\n"
"It is best if the chessboard is odd x even in dimensions to avoid ambiguous poses.\n"
"\n"
"The actions one can use while the program is running are:\n"
"\n"
" Select object as 3D box with the mouse.\n"
" First draw one line on the plane to outline the projection of that object on the plane\n"
" Then extend that line into a box to encompass the projection of that object onto the plane\n"
" The use the mouse again to extend the box upwards from the plane to encase the object.\n"
" Then use the following commands\n"
" ESC - Reset the selection\n"
" SPACE - Skip the frame; move to the next frame (not in video mode)\n"
" ENTER - Confirm the selection. Grab next object in video mode.\n"
" q - Exit the program\n"
"\n\n";
// static void help()
// {
// puts(helphelp);
// }
struct MouseEvent
{
MouseEvent() { event = -1; buttonState = 0; }
Point pt;
int event;
int buttonState;
};
static void onMouse(int event, int x, int y, int flags, void* userdata)
{
MouseEvent* data = (MouseEvent*)userdata;
data->event = event;
data->pt = Point(x,y);
data->buttonState = flags;
}
static bool readCameraMatrix(const string& filename,
Mat& cameraMatrix, Mat& distCoeffs,
Size& calibratedImageSize )
{
FileStorage fs(filename, FileStorage::READ);
fs["image_width"] >> calibratedImageSize.width;
fs["image_height"] >> calibratedImageSize.height;
fs["distortion_coefficients"] >> distCoeffs;
fs["camera_matrix"] >> cameraMatrix;
if( distCoeffs.type() != CV_64F )
distCoeffs = Mat_<double>(distCoeffs);
if( cameraMatrix.type() != CV_64F )
cameraMatrix = Mat_<double>(cameraMatrix);
return true;
}
static void calcChessboardCorners(Size boardSize, float squareSize, vector<Point3f>& corners)
{
corners.resize(0);
for( int i = 0; i < boardSize.height; i++ )
for( int j = 0; j < boardSize.width; j++ )
corners.push_back(Point3f(float(j*squareSize),
float(i*squareSize), 0));
}
static Point3f image2plane(Point2f imgpt, const Mat& R, const Mat& tvec,
const Mat& cameraMatrix, double Z)
{
Mat R1 = R.clone();
R1.col(2) = R1.col(2)*Z + tvec;
Mat_<double> v = (cameraMatrix*R1).inv()*(Mat_<double>(3,1) << imgpt.x, imgpt.y, 1);
double iw = fabs(v(2,0)) > DBL_EPSILON ? 1./v(2,0) : 0;
return Point3f((float)(v(0,0)*iw), (float)(v(1,0)*iw), (float)Z);
}
static Rect extract3DBox(const Mat& frame, Mat& shownFrame, Mat& selectedObjFrame,
const Mat& cameraMatrix, const Mat& rvec, const Mat& tvec,
const vector<Point3f>& box, int nobjpt, bool runExtraSegmentation)
{
selectedObjFrame = Mat::zeros(frame.size(), frame.type());
if( nobjpt == 0 )
return Rect();
vector<Point3f> objpt;
vector<Point2f> imgpt;
objpt.push_back(box[0]);
if( nobjpt > 1 )
objpt.push_back(box[1]);
if( nobjpt > 2 )
{
objpt.push_back(box[2]);
objpt.push_back(objpt[2] - objpt[1] + objpt[0]);
}
if( nobjpt > 3 )
for( int i = 0; i < 4; i++ )
objpt.push_back(Point3f(objpt[i].x, objpt[i].y, box[3].z));
projectPoints(Mat(objpt), rvec, tvec, cameraMatrix, Mat(), imgpt);
if( !shownFrame.empty() )
{
if( nobjpt == 1 )
circle(shownFrame, imgpt[0], 3, Scalar(0,255,0), -1, LINE_AA);
else if( nobjpt == 2 )
{
circle(shownFrame, imgpt[0], 3, Scalar(0,255,0), -1, LINE_AA);
circle(shownFrame, imgpt[1], 3, Scalar(0,255,0), -1, LINE_AA);
line(shownFrame, imgpt[0], imgpt[1], Scalar(0,255,0), 3, LINE_AA);
}
else if( nobjpt == 3 )
for( int i = 0; i < 4; i++ )
{
circle(shownFrame, imgpt[i], 3, Scalar(0,255,0), -1, LINE_AA);
line(shownFrame, imgpt[i], imgpt[(i+1)%4], Scalar(0,255,0), 3, LINE_AA);
}
else
for( int i = 0; i < 8; i++ )
{
circle(shownFrame, imgpt[i], 3, Scalar(0,255,0), -1, LINE_AA);
line(shownFrame, imgpt[i], imgpt[(i+1)%4 + (i/4)*4], Scalar(0,255,0), 3, LINE_AA);
line(shownFrame, imgpt[i], imgpt[i%4], Scalar(0,255,0), 3, LINE_AA);
}
}
if( nobjpt <= 2 )
return Rect();
vector<Point> hull;
convexHull(Mat_<Point>(Mat(imgpt)), hull);
Mat selectedObjMask = Mat::zeros(frame.size(), CV_8U);
fillConvexPoly(selectedObjMask, &hull[0], (int)hull.size(), Scalar::all(255), 8, 0);
Rect roi = boundingRect(Mat(hull)) & Rect(Point(), frame.size());
if( runExtraSegmentation )
{
selectedObjMask = Scalar::all(GC_BGD);
fillConvexPoly(selectedObjMask, &hull[0], (int)hull.size(), Scalar::all(GC_PR_FGD), 8, 0);
Mat bgdModel, fgdModel;
grabCut(frame, selectedObjMask, roi, bgdModel, fgdModel,
3, GC_INIT_WITH_RECT + GC_INIT_WITH_MASK);
bitwise_and(selectedObjMask, Scalar::all(1), selectedObjMask);
}
frame.copyTo(selectedObjFrame, selectedObjMask);
return roi;
}
static int select3DBox(const string& windowname, const string& selWinName, const Mat& frame,
const Mat& cameraMatrix, const Mat& rvec, const Mat& tvec,
vector<Point3f>& box)
{
const float eps = 1e-3f;
MouseEvent mouse;
setMouseCallback(windowname, onMouse, &mouse);
vector<Point3f> tempobj(8);
vector<Point2f> imgpt(4), tempimg(8);
vector<Point> temphull;
int nobjpt = 0;
Mat R, selectedObjMask, selectedObjFrame, shownFrame;
Rodrigues(rvec, R);
box.resize(4);
for(;;)
{
float Z = 0.f;
bool dragging = (mouse.buttonState & EVENT_FLAG_LBUTTON) != 0;
int npt = nobjpt;
if( (mouse.event == EVENT_LBUTTONDOWN ||
mouse.event == EVENT_LBUTTONUP ||
dragging) && nobjpt < 4 )
{
Point2f m = mouse.pt;
if( nobjpt < 2 )
imgpt[npt] = m;
else
{
tempobj.resize(1);
int nearestIdx = npt-1;
if( nobjpt == 3 )
{
nearestIdx = 0;
for( int i = 1; i < npt; i++ )
if( norm(m - imgpt[i]) < norm(m - imgpt[nearestIdx]) )
nearestIdx = i;
}
if( npt == 2 )
{
float dx = box[1].x - box[0].x, dy = box[1].y - box[0].y;
float len = 1.f/std::sqrt(dx*dx+dy*dy);
tempobj[0] = Point3f(dy*len + box[nearestIdx].x,
-dx*len + box[nearestIdx].y, 0.f);
}
else
tempobj[0] = Point3f(box[nearestIdx].x, box[nearestIdx].y, 1.f);
projectPoints(Mat(tempobj), rvec, tvec, cameraMatrix, Mat(), tempimg);
Point2f a = imgpt[nearestIdx], b = tempimg[0], d1 = b - a, d2 = m - a;
float n1 = (float)norm(d1), n2 = (float)norm(d2);
if( n1*n2 < eps )
imgpt[npt] = a;
else
{
Z = d1.dot(d2)/(n1*n1);
imgpt[npt] = d1*Z + a;
}
}
box[npt] = image2plane(imgpt[npt], R, tvec, cameraMatrix, npt<3 ? 0 : Z);
if( (npt == 0 && mouse.event == EVENT_LBUTTONDOWN) ||
(npt > 0 && norm(box[npt] - box[npt-1]) > eps &&
mouse.event == EVENT_LBUTTONUP) )
{
nobjpt++;
if( nobjpt < 4 )
{
imgpt[nobjpt] = imgpt[nobjpt-1];
box[nobjpt] = box[nobjpt-1];
}
}
// reset the event
mouse.event = -1;
//mouse.buttonState = 0;
npt++;
}
frame.copyTo(shownFrame);
extract3DBox(frame, shownFrame, selectedObjFrame,
cameraMatrix, rvec, tvec, box, npt, false);
imshow(windowname, shownFrame);
imshow(selWinName, selectedObjFrame);
char c = (char)waitKey(30);
if( c == 27 )
{
nobjpt = 0;
}
if( c == 'q' || c == 'Q' || c == ' ' )
{
box.clear();
return c == ' ' ? -1 : -100;
}
if( (c == '\r' || c == '\n') && nobjpt == 4 && box[3].z != 0 )
return 1;
}
}
static bool readModelViews( const string& filename, vector<Point3f>& box,
vector<string>& imagelist,
vector<Rect>& roiList, vector<Vec6f>& poseList )
{
imagelist.resize(0);
roiList.resize(0);
poseList.resize(0);
box.resize(0);
FileStorage fs(filename, FileStorage::READ);
if( !fs.isOpened() )
return false;
fs["box"] >> box;
FileNode all = fs["views"];
if( all.type() != FileNode::SEQ )
return false;
FileNodeIterator it = all.begin(), it_end = all.end();
for(; it != it_end; ++it)
{
FileNode n = *it;
imagelist.push_back((string)n["image"]);
FileNode nr = n["rect"];
roiList.push_back(Rect((int)nr[0], (int)nr[1], (int)nr[2], (int)nr[3]));
FileNode np = n["pose"];
poseList.push_back(Vec6f((float)np[0], (float)np[1], (float)np[2],
(float)np[3], (float)np[4], (float)np[5]));
}
return true;
}
static bool writeModelViews(const string& filename, const vector<Point3f>& box,
const vector<string>& imagelist,
const vector<Rect>& roiList,
const vector<Vec6f>& poseList)
{
FileStorage fs(filename, FileStorage::WRITE);
if( !fs.isOpened() )
return false;
fs << "box" << "[:";
fs << box << "]" << "views" << "[";
size_t i, nviews = imagelist.size();
CV_Assert( nviews == roiList.size() && nviews == poseList.size() );
for( i = 0; i < nviews; i++ )
{
Rect r = roiList[i];
Vec6f p = poseList[i];
fs << "{" << "image" << imagelist[i] <<
"roi" << "[:" << r.x << r.y << r.width << r.height << "]" <<
"pose" << "[:" << p[0] << p[1] << p[2] << p[3] << p[4] << p[5] << "]" << "}";
}
fs << "]";
return true;
}
static bool readStringList( const string& filename, vector<string>& l )
{
l.resize(0);
FileStorage fs(filename, FileStorage::READ);
if( !fs.isOpened() )
return false;
FileNode n = fs.getFirstTopLevelNode();
if( n.type() != FileNode::SEQ )
return false;
FileNodeIterator it = n.begin(), it_end = n.end();
for( ; it != it_end; ++it )
l.push_back((string)*it);
return true;
}
int main(int argc, char** argv)
{
const char* help = "Usage: select3dobj -w=<board_width> -h=<board_height> [-s=<square_size>]\n"
"\t-i=<intrinsics_filename> -o=<output_prefix> [video_filename/cameraId]\n";
const char* screen_help =
"Actions: \n"
"\tSelect object as 3D box with the mouse. That's it\n"
"\tESC - Reset the selection\n"
"\tSPACE - Skip the frame; move to the next frame (not in video mode)\n"
"\tENTER - Confirm the selection. Grab next object in video mode.\n"
"\tq - Exit the program\n";
cv::CommandLineParser parser(argc, argv, "{help h||}{w||}{h||}{s|1|}{i||}{o||}{@input|0|}");
if (parser.has("help"))
{
puts(helphelp);
puts(help);
return 0;
}
string intrinsicsFilename;
string outprefix = "";
string inputName = "";
int cameraId = 0;
Size boardSize;
double squareSize;
vector<string> imageList;
intrinsicsFilename = parser.get<string>("i");
outprefix = parser.get<string>("o");
boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h");
squareSize = parser.get<double>("s");
if ( parser.get<string>("@input").size() == 1 && isdigit(parser.get<string>("@input")[0]) )
cameraId = parser.get<int>("@input");
else
inputName = parser.get<string>("@input");
if (!parser.check())
{
puts(help);
parser.printErrors();
return 0;
}
if ( boardSize.width <= 0 )
{
printf("Incorrect -w parameter (must be a positive integer)\n");
puts(help);
return 0;
}
if ( boardSize.height <= 0 )
{
printf("Incorrect -h parameter (must be a positive integer)\n");
puts(help);
return 0;
}
if ( squareSize <= 0 )
{
printf("Incorrect -s parameter (must be a positive real number)\n");
puts(help);
return 0;
}
Mat cameraMatrix, distCoeffs;
Size calibratedImageSize;
readCameraMatrix(intrinsicsFilename, cameraMatrix, distCoeffs, calibratedImageSize );
VideoCapture capture;
if( !inputName.empty() )
{
if( !readStringList(inputName, imageList) &&
!capture.open(inputName))
{
fprintf( stderr, "The input file could not be opened\n" );
return -1;
}
}
else
capture.open(cameraId);
if( !capture.isOpened() && imageList.empty() )
return fprintf( stderr, "Could not initialize video capture\n" ), -2;
const char* outbarename = 0;
{
outbarename = strrchr(outprefix.c_str(), '/');
const char* tmp = strrchr(outprefix.c_str(), '\\');
char cmd[1000];
sprintf(cmd, "mkdir %s", outprefix.c_str());
if( tmp && tmp > outbarename )
outbarename = tmp;
if( outbarename )
{
cmd[6 + outbarename - outprefix.c_str()] = '\0';
int result = system(cmd);
CV_Assert(result == 0);
outbarename++;
}
else
outbarename = outprefix.c_str();
}
Mat frame, shownFrame, selectedObjFrame, mapxy;
namedWindow("View", 1);
namedWindow("Selected Object", 1);
setMouseCallback("View", onMouse, 0);
bool boardFound = false;
string indexFilename = format("%s_index.yml", outprefix.c_str());
vector<string> capturedImgList;
vector<Rect> roiList;
vector<Vec6f> poseList;
vector<Point3f> box, boardPoints;
readModelViews(indexFilename, box, capturedImgList, roiList, poseList);
calcChessboardCorners(boardSize, (float)squareSize, boardPoints);
int frameIdx = 0;
bool grabNext = !imageList.empty();
puts(screen_help);
for(int i = 0;;i++)
{
Mat frame0;
if( !imageList.empty() )
{
if( i < (int)imageList.size() )
frame0 = imread(string(imageList[i]), 1);
}
else
capture >> frame0;
if( frame0.empty() )
break;
if( frame.empty() )
{
if( frame0.size() != calibratedImageSize )
{
double sx = (double)frame0.cols/calibratedImageSize.width;
double sy = (double)frame0.rows/calibratedImageSize.height;
// adjust the camera matrix for the new resolution
cameraMatrix.at<double>(0,0) *= sx;
cameraMatrix.at<double>(0,2) *= sx;
cameraMatrix.at<double>(1,1) *= sy;
cameraMatrix.at<double>(1,2) *= sy;
}
Mat dummy;
initUndistortRectifyMap(cameraMatrix, distCoeffs, Mat(),
cameraMatrix, frame0.size(),
CV_32FC2, mapxy, dummy );
distCoeffs = Mat::zeros(5, 1, CV_64F);
}
remap(frame0, frame, mapxy, Mat(), INTER_LINEAR);
vector<Point2f> foundBoardCorners;
boardFound = findChessboardCorners(frame, boardSize, foundBoardCorners);
Mat rvec, tvec;
if( boardFound )
solvePnP(Mat(boardPoints), Mat(foundBoardCorners), cameraMatrix,
distCoeffs, rvec, tvec, false);
frame.copyTo(shownFrame);
drawChessboardCorners(shownFrame, boardSize, Mat(foundBoardCorners), boardFound);
selectedObjFrame = Mat::zeros(frame.size(), frame.type());
if( boardFound && grabNext )
{
if( box.empty() )
{
int code = select3DBox("View", "Selected Object", frame,
cameraMatrix, rvec, tvec, box);
if( code == -100 )
break;
}
if( !box.empty() )
{
Rect r = extract3DBox(frame, shownFrame, selectedObjFrame,
cameraMatrix, rvec, tvec, box, 4, true);
if( r.area() )
{
const int maxFrameIdx = 10000;
char path[1000];
for(;frameIdx < maxFrameIdx;frameIdx++)
{
sprintf(path, "%s%04d.jpg", outprefix.c_str(), frameIdx);
FILE* f = fopen(path, "rb");
if( !f )
break;
fclose(f);
}
if( frameIdx == maxFrameIdx )
{
printf("Can not save the image as %s<...>.jpg", outprefix.c_str());
break;
}
imwrite(path, selectedObjFrame(r));
capturedImgList.push_back(string(path));
roiList.push_back(r);
float p[6];
Mat RV(3, 1, CV_32F, p), TV(3, 1, CV_32F, p+3);
rvec.convertTo(RV, RV.type());
tvec.convertTo(TV, TV.type());
poseList.push_back(Vec6f(p[0], p[1], p[2], p[3], p[4], p[5]));
}
}
grabNext = !imageList.empty();
}
imshow("View", shownFrame);
imshow("Selected Object", selectedObjFrame);
char c = (char)waitKey(imageList.empty() && !box.empty() ? 30 : 300);
if( c == 'q' || c == 'Q' )
break;
if( c == '\r' || c == '\n' )
grabNext = true;
}
writeModelViews(indexFilename, box, capturedImgList, roiList, poseList);
return 0;
}