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openni_capture.cpp
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#include "opencv2/videoio/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>
using namespace cv;
using namespace std;
static void help()
{
cout << "\nThis program demonstrates usage of depth sensors (Kinect, XtionPRO,...).\n"
"The user gets some of the supported output images.\n"
"\nAll supported output map types:\n"
"1.) Data given from depth generator\n"
" CAP_OPENNI_DEPTH_MAP - depth values in mm (CV_16UC1)\n"
" CAP_OPENNI_POINT_CLOUD_MAP - XYZ in meters (CV_32FC3)\n"
" CAP_OPENNI_DISPARITY_MAP - disparity in pixels (CV_8UC1)\n"
" CAP_OPENNI_DISPARITY_MAP_32F - disparity in pixels (CV_32FC1)\n"
" CAP_OPENNI_VALID_DEPTH_MASK - mask of valid pixels (not ocluded, not shaded etc.) (CV_8UC1)\n"
"2.) Data given from RGB image generator\n"
" CAP_OPENNI_BGR_IMAGE - color image (CV_8UC3)\n"
" CAP_OPENNI_GRAY_IMAGE - gray image (CV_8UC1)\n"
"2.) Data given from IR image generator\n"
" CAP_OPENNI_IR_IMAGE - gray image (CV_16UC1)\n"
<< endl;
}
static void colorizeDisparity( const Mat& gray, Mat& rgb, double maxDisp=-1.f, float S=1.f, float V=1.f )
{
CV_Assert( !gray.empty() );
CV_Assert( gray.type() == CV_8UC1 );
if( maxDisp <= 0 )
{
maxDisp = 0;
minMaxLoc( gray, 0, &maxDisp );
}
rgb.create( gray.size(), CV_8UC3 );
rgb = Scalar::all(0);
if( maxDisp < 1 )
return;
for( int y = 0; y < gray.rows; y++ )
{
for( int x = 0; x < gray.cols; x++ )
{
uchar d = gray.at<uchar>(y,x);
unsigned int H = ((uchar)maxDisp - d) * 240 / (uchar)maxDisp;
unsigned int hi = (H/60) % 6;
float f = H/60.f - H/60;
float p = V * (1 - S);
float q = V * (1 - f * S);
float t = V * (1 - (1 - f) * S);
Point3f res;
if( hi == 0 ) //R = V, G = t, B = p
res = Point3f( p, t, V );
if( hi == 1 ) // R = q, G = V, B = p
res = Point3f( p, V, q );
if( hi == 2 ) // R = p, G = V, B = t
res = Point3f( t, V, p );
if( hi == 3 ) // R = p, G = q, B = V
res = Point3f( V, q, p );
if( hi == 4 ) // R = t, G = p, B = V
res = Point3f( V, p, t );
if( hi == 5 ) // R = V, G = p, B = q
res = Point3f( q, p, V );
uchar b = (uchar)(std::max(0.f, std::min (res.x, 1.f)) * 255.f);
uchar g = (uchar)(std::max(0.f, std::min (res.y, 1.f)) * 255.f);
uchar r = (uchar)(std::max(0.f, std::min (res.z, 1.f)) * 255.f);
rgb.at<Point3_<uchar> >(y,x) = Point3_<uchar>(b, g, r);
}
}
}
static float getMaxDisparity( VideoCapture& capture )
{
const int minDistance = 400; // mm
float b = (float)capture.get( CAP_OPENNI_DEPTH_GENERATOR_BASELINE ); // mm
float F = (float)capture.get( CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH ); // pixels
return b * F / minDistance;
}
static void printCommandLineParams()
{
cout << "-cd= Colorized disparity? (0 or 1; 1 by default) Ignored if disparity map is not selected to show." << endl;
cout << "-fmd= Fixed max disparity? (0 or 1; 0 by default) Ignored if disparity map is not colorized (-cd 0)." << endl;
cout << "-mode= image mode: resolution and fps, supported three values: 0 - CAP_OPENNI_VGA_30HZ, 1 - CAP_OPENNI_SXGA_15HZ," << endl;
cout << " 2 - CAP_OPENNI_SXGA_30HZ (0 by default). Ignored if rgb image or gray image are not selected to show." << endl;
cout << "-m= Mask to set which output images are need. It is a string of size 5. Each element of this is '0' or '1' and" << endl;
cout << " determine: is depth map, disparity map, valid pixels mask, rgb image, gray image need or not (correspondently), ir image" << endl ;
cout << " By default -m=010100 i.e. disparity map and rgb image will be shown." << endl ;
cout << "-r= Filename of .oni video file. The data will grabbed from it." << endl ;
}
static void parseCommandLine( int argc, char* argv[], bool& isColorizeDisp, bool& isFixedMaxDisp, int& imageMode, bool retrievedImageFlags[],
string& filename, bool& isFileReading )
{
filename.clear();
cv::CommandLineParser parser(argc, argv, "{h help||}{cd|1|}{fmd|0|}{mode|-1|}{m|010100|}{r||}");
if (parser.has("h"))
{
help();
printCommandLineParams();
exit(0);
}
isColorizeDisp = (parser.get<int>("cd") != 0);
isFixedMaxDisp = (parser.get<int>("fmd") != 0);
imageMode = parser.get<int>("mode");
int flags = parser.get<int>("m");
isFileReading = parser.has("r");
if (isFileReading)
filename = parser.get<string>("r");
if (!parser.check())
{
parser.printErrors();
help();
exit(-1);
}
if (flags % 1000000 == 0)
{
cout << "No one output image is selected." << endl;
exit(0);
}
for (int i = 0; i < 6; i++)
{
retrievedImageFlags[5 - i] = (flags % 10 != 0);
flags /= 10;
}
}
/*
* To work with Kinect or XtionPRO the user must install OpenNI library and PrimeSensorModule for OpenNI and
* configure OpenCV with WITH_OPENNI flag is ON (using CMake).
*/
int main( int argc, char* argv[] )
{
bool isColorizeDisp, isFixedMaxDisp;
int imageMode;
bool retrievedImageFlags[6];
string filename;
bool isVideoReading;
parseCommandLine( argc, argv, isColorizeDisp, isFixedMaxDisp, imageMode, retrievedImageFlags, filename, isVideoReading );
cout << "Device opening ..." << endl;
VideoCapture capture;
if( isVideoReading )
capture.open( filename );
else
{
capture.open( CAP_OPENNI2 );
if( !capture.isOpened() )
capture.open( CAP_OPENNI );
}
cout << "done." << endl;
if( !capture.isOpened() )
{
cout << "Can not open a capture object." << endl;
return -1;
}
if( !isVideoReading && imageMode >= 0 )
{
bool modeRes=false;
switch ( imageMode )
{
case 0:
modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_VGA_30HZ );
break;
case 1:
modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_SXGA_15HZ );
break;
case 2:
modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_SXGA_30HZ );
break;
//The following modes are only supported by the Xtion Pro Live
case 3:
modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_QVGA_30HZ );
break;
case 4:
modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_QVGA_60HZ );
break;
default:
CV_Error( Error::StsBadArg, "Unsupported image mode property.\n");
}
if (!modeRes)
cout << "\nThis image mode is not supported by the device, the default value (CV_CAP_OPENNI_SXGA_15HZ) will be used.\n" << endl;
}
// turn on depth, color and IR if needed
if (retrievedImageFlags[0] || retrievedImageFlags[1] || retrievedImageFlags[2])
capture.set(CAP_OPENNI_DEPTH_GENERATOR_PRESENT, true);
else
capture.set(CAP_OPENNI_DEPTH_GENERATOR_PRESENT, false);
if (retrievedImageFlags[3] || retrievedImageFlags[4])
capture.set(CAP_OPENNI_IMAGE_GENERATOR_PRESENT, true);
else
capture.set(CAP_OPENNI_IMAGE_GENERATOR_PRESENT, false);
if (retrievedImageFlags[5])
capture.set(CAP_OPENNI_IR_GENERATOR_PRESENT, true);
else
capture.set(CAP_OPENNI_IR_GENERATOR_PRESENT, false);
// Print some avalible device settings.
if (capture.get(CAP_OPENNI_DEPTH_GENERATOR_PRESENT))
{
cout << "\nDepth generator output mode:" << endl <<
"FRAME_WIDTH " << capture.get(CAP_PROP_FRAME_WIDTH) << endl <<
"FRAME_HEIGHT " << capture.get(CAP_PROP_FRAME_HEIGHT) << endl <<
"FRAME_MAX_DEPTH " << capture.get(CAP_PROP_OPENNI_FRAME_MAX_DEPTH) << " mm" << endl <<
"FPS " << capture.get(CAP_PROP_FPS) << endl <<
"REGISTRATION " << capture.get(CAP_PROP_OPENNI_REGISTRATION) << endl;
}
else
{
cout << "\nDevice doesn't contain depth generator or it is not selected." << endl;
}
if( capture.get( CAP_OPENNI_IMAGE_GENERATOR_PRESENT ) )
{
cout <<
"\nImage generator output mode:" << endl <<
"FRAME_WIDTH " << capture.get( CAP_OPENNI_IMAGE_GENERATOR+CAP_PROP_FRAME_WIDTH ) << endl <<
"FRAME_HEIGHT " << capture.get( CAP_OPENNI_IMAGE_GENERATOR+CAP_PROP_FRAME_HEIGHT ) << endl <<
"FPS " << capture.get( CAP_OPENNI_IMAGE_GENERATOR+CAP_PROP_FPS ) << endl;
}
else
{
cout << "\nDevice doesn't contain image generator or it is not selected." << endl;
}
if( capture.get(CAP_OPENNI_IR_GENERATOR_PRESENT) )
{
cout <<
"\nIR generator output mode:" << endl <<
"FRAME_WIDTH " << capture.get(CAP_OPENNI_IR_GENERATOR + CAP_PROP_FRAME_WIDTH) << endl <<
"FRAME_HEIGHT " << capture.get(CAP_OPENNI_IR_GENERATOR + CAP_PROP_FRAME_HEIGHT) << endl <<
"FPS " << capture.get(CAP_OPENNI_IR_GENERATOR + CAP_PROP_FPS) << endl;
}
else
{
cout << "\nDevice doesn't contain IR generator or it is not selected." << endl;
}
for(;;)
{
Mat depthMap;
Mat validDepthMap;
Mat disparityMap;
Mat bgrImage;
Mat grayImage;
Mat irImage;
if( !capture.grab() )
{
cout << "Can not grab images." << endl;
return -1;
}
else
{
if( retrievedImageFlags[0] && capture.retrieve( depthMap, CAP_OPENNI_DEPTH_MAP ) )
{
const float scaleFactor = 0.05f;
Mat show; depthMap.convertTo( show, CV_8UC1, scaleFactor );
imshow( "depth map", show );
}
if( retrievedImageFlags[1] && capture.retrieve( disparityMap, CAP_OPENNI_DISPARITY_MAP ) )
{
if( isColorizeDisp )
{
Mat colorDisparityMap;
colorizeDisparity( disparityMap, colorDisparityMap, isFixedMaxDisp ? getMaxDisparity(capture) : -1 );
Mat validColorDisparityMap;
colorDisparityMap.copyTo( validColorDisparityMap, disparityMap != 0 );
imshow( "colorized disparity map", validColorDisparityMap );
}
else
{
imshow( "original disparity map", disparityMap );
}
}
if( retrievedImageFlags[2] && capture.retrieve( validDepthMap, CAP_OPENNI_VALID_DEPTH_MASK ) )
imshow( "valid depth mask", validDepthMap );
if( retrievedImageFlags[3] && capture.retrieve( bgrImage, CAP_OPENNI_BGR_IMAGE ) )
imshow( "rgb image", bgrImage );
if( retrievedImageFlags[4] && capture.retrieve( grayImage, CAP_OPENNI_GRAY_IMAGE ) )
imshow( "gray image", grayImage );
if( retrievedImageFlags[5] && capture.retrieve( irImage, CAP_OPENNI_IR_IMAGE ) )
{
Mat ir8;
irImage.convertTo(ir8, CV_8U, 256.0 / 3500, 0.0);
imshow("IR image", ir8);
}
}
if( waitKey( 30 ) >= 0 )
break;
}
return 0;
}