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Open Source Computer Vision Library
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177 lines
6.0 KiB
177 lines
6.0 KiB
#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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#define COLORIZED_DISP 1 |
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#define IMAGE_GENERATOR_VGA_30HZ 1 |
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#define FIXED_MAX_DISP 0 |
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void colorizeDisparity( const Mat& gray, Mat& rgb, double maxDisp=-1.f, float S=1.f, float V=1.f ) |
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{ |
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CV_Assert( !gray.empty() ); |
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CV_Assert( gray.type() == CV_8UC1 ); |
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if( maxDisp <= 0 ) |
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{ |
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maxDisp = 0; |
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minMaxLoc( gray, 0, &maxDisp ); |
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} |
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rgb.create( gray.size(), CV_8UC3 ); |
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for( int y = 0; y < gray.rows; y++ ) |
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{ |
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for( int x = 0; x < gray.cols; x++ ) |
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{ |
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uchar d = gray.at<uchar>(y,x); |
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unsigned int H = ((uchar)maxDisp - d) * 240 / (uchar)maxDisp; |
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unsigned int hi = (H/60) % 6; |
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float f = H/60.f - H/60; |
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float p = V * (1 - S); |
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float q = V * (1 - f * S); |
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float t = V * (1 - (1 - f) * S); |
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Point3f res; |
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if( hi == 0 ) //R = V, G = t, B = p |
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res = Point3f( p, t, V ); |
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if( hi == 1 ) // R = q, G = V, B = p |
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res = Point3f( p, V, q ); |
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if( hi == 2 ) // R = p, G = V, B = t |
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res = Point3f( t, V, p ); |
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if( hi == 3 ) // R = p, G = q, B = V |
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res = Point3f( V, q, p ); |
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if( hi == 4 ) // R = t, G = p, B = V |
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res = Point3f( V, p, t ); |
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if( hi == 5 ) // R = V, G = p, B = q |
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res = Point3f( q, p, V ); |
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uchar b = (uchar)(std::max(0.f, std::min (res.x, 1.f)) * 255.f); |
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uchar g = (uchar)(std::max(0.f, std::min (res.y, 1.f)) * 255.f); |
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uchar r = (uchar)(std::max(0.f, std::min (res.z, 1.f)) * 255.f); |
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rgb.at<Point3_<uchar> >(y,x) = Point3_<uchar>(b, g, r); |
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} |
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} |
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} |
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void help() |
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{ |
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cout << "\nThis program demonstrates usage of Kinect sensor.\n" |
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"The user gets some of the supported output images.\n" |
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"\nAll supported output map types:\n" |
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"1.) Data given from depth generator\n" |
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" OPENNI_DEPTH_MAP - depth values in mm (CV_16UC1)\n" |
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" OPENNI_POINT_CLOUD_MAP - XYZ in meters (CV_32FC3)\n" |
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" OPENNI_DISPARITY_MAP - disparity in pixels (CV_8UC1)\n" |
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" OPENNI_DISPARITY_MAP_32F - disparity in pixels (CV_32FC1)\n" |
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" OPENNI_VALID_DEPTH_MASK - mask of valid pixels (not ocluded, not shaded etc.) (CV_8UC1)\n" |
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"2.) Data given from RGB image generator\n" |
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" OPENNI_BGR_IMAGE - color image (CV_8UC3)\n" |
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" OPENNI_GRAY_IMAGE - gray image (CV_8UC1)\n" |
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<< endl; |
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} |
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float getMaxDisparity( VideoCapture& capture ) |
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{ |
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#if FIXED_MAX_DISP |
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const int minDistance = 400; // mm |
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float b = capture.get( OPENNI_DEPTH_GENERATOR_BASELINE ); // mm |
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float F = capture.get( OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH ); // pixels |
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return b * F / minDistance; |
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#else |
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return -1; |
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#endif |
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} |
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/* |
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* To work with Kinect the user must install OpenNI library and PrimeSensorModule for OpenNI and |
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* configure OpenCV with WITH_OPENNI flag is ON (using CMake). |
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*/ |
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int main() |
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{ |
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help(); |
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cout << "Kinect opening ..." << endl; |
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VideoCapture capture(0); // or CV_CAP_OPENNI |
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cout << "done." << endl; |
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if( !capture.isOpened() ) |
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{ |
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cout << "Can not open a capture object." << endl; |
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return -1; |
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} |
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#if IMAGE_GENERATOR_VGA_30HZ |
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capture.set( OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, OPENNI_VGA_30HZ ); // default |
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#else |
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capture.set( OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, OPENNI_SXGA_15HZ ); |
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#endif |
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// Print some avalible Kinect settings. |
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cout << "\nDepth generator output mode:" << endl << |
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"FRAME_WIDTH " << capture.get( CV_CAP_PROP_FRAME_WIDTH ) << endl << |
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"FRAME_HEIGHT " << capture.get( CV_CAP_PROP_FRAME_HEIGHT ) << endl << |
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"FRAME_MAX_DEPTH " << capture.get( OPENNI_FRAME_MAX_DEPTH ) << " mm" << endl << |
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"FPS " << capture.get( CV_CAP_PROP_FPS ) << endl; |
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cout << "\nImage generator output mode:" << endl << |
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"FRAME_WIDTH " << capture.get( OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FRAME_WIDTH ) << endl << |
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"FRAME_HEIGHT " << capture.get( OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FRAME_HEIGHT ) << endl << |
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"FPS " << capture.get( OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FPS ) << endl; |
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for(;;) |
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{ |
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Mat depthMap; |
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Mat validDepthMap; |
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Mat disparityMap; |
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Mat bgrImage; |
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Mat grayImage; |
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if( !capture.grab() ) |
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{ |
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cout << "Can not grab images." << endl; |
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return -1; |
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} |
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else |
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{ |
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if( capture.retrieve( depthMap, OPENNI_DEPTH_MAP ) ) |
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{ |
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const float scaleFactor = 0.05f; |
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Mat show; depthMap.convertTo( show, CV_8UC1, scaleFactor ); |
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imshow( "depth map", show ); |
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} |
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if( capture.retrieve( disparityMap, OPENNI_DISPARITY_MAP ) ) |
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{ |
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#if COLORIZED_DISP // colorized disparity for more visibility |
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Mat colorDisparityMap; |
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colorizeDisparity( disparityMap, colorDisparityMap, getMaxDisparity( capture ) ); |
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Mat validColorDisparityMap; |
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colorDisparityMap.copyTo( validColorDisparityMap, disparityMap != OPENNI_BAD_DISP_VAL ); |
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imshow( "colorized disparity map", validColorDisparityMap ); |
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#else // original disparity |
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imshow( "original disparity map", disparityMap ); |
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#endif |
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} |
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if( capture.retrieve( validDepthMap, OPENNI_VALID_DEPTH_MASK ) ) |
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imshow( "valid depth mask", validDepthMap ); |
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if( capture.retrieve( bgrImage, OPENNI_BGR_IMAGE ) ) |
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imshow( "rgb image", bgrImage ); |
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if( capture.retrieve( grayImage, OPENNI_GRAY_IMAGE ) ) |
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imshow( "gray image", grayImage ); |
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} |
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if( waitKey( 30 ) >= 0 ) |
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break; |
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} |
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return 0; |
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}
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