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Open Source Computer Vision Library
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282 lines
11 KiB
282 lines
11 KiB
#include "opencv2/videoio/videoio.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/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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static void help() |
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{ |
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cout << "\nThis program demonstrates usage of depth sensors (Kinect, XtionPRO,...).\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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" CAP_OPENNI_DEPTH_MAP - depth values in mm (CV_16UC1)\n" |
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" CAP_OPENNI_POINT_CLOUD_MAP - XYZ in meters (CV_32FC3)\n" |
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" CAP_OPENNI_DISPARITY_MAP - disparity in pixels (CV_8UC1)\n" |
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" CAP_OPENNI_DISPARITY_MAP_32F - disparity in pixels (CV_32FC1)\n" |
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" CAP_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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" CAP_OPENNI_BGR_IMAGE - color image (CV_8UC3)\n" |
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" CAP_OPENNI_GRAY_IMAGE - gray image (CV_8UC1)\n" |
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"2.) Data given from IR image generator\n" |
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" CAP_OPENNI_IR_IMAGE - gray image (CV_16UC1)\n" |
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<< endl; |
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} |
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static void colorizeDisparity( const Mat& gray, Mat& rgb, double maxDisp=-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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rgb = Scalar::all(0); |
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if( maxDisp < 1 ) |
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return; |
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Mat tmp; |
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convertScaleAbs(gray, tmp, 255.f / maxDisp); |
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applyColorMap(tmp, rgb, COLORMAP_JET); |
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} |
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static float getMaxDisparity( VideoCapture& capture ) |
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{ |
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const int minDistance = 400; // mm |
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float b = (float)capture.get( CAP_OPENNI_DEPTH_GENERATOR_BASELINE ); // mm |
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float F = (float)capture.get( CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH ); // pixels |
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return b * F / minDistance; |
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} |
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static void printCommandLineParams() |
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{ |
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cout << "-cd= Colorized disparity? (0 or 1; 1 by default) Ignored if disparity map is not selected to show." << endl; |
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cout << "-fmd= Fixed max disparity? (0 or 1; 0 by default) Ignored if disparity map is not colorized (-cd 0)." << endl; |
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cout << "-mode= image mode: resolution and fps, supported three values: 0 - CAP_OPENNI_VGA_30HZ, 1 - CAP_OPENNI_SXGA_15HZ," << endl; |
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cout << " 2 - CAP_OPENNI_SXGA_30HZ (0 by default). Ignored if rgb image or gray image are not selected to show." << endl; |
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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; |
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cout << " determine: is depth map, disparity map, valid pixels mask, rgb image, gray image need or not (correspondently), ir image" << endl ; |
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cout << " By default -m=010100 i.e. disparity map and rgb image will be shown." << endl ; |
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cout << "-r= Filename of .oni video file. The data will grabbed from it." << endl ; |
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} |
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static void parseCommandLine( int argc, char* argv[], bool& isColorizeDisp, bool& isFixedMaxDisp, int& imageMode, bool retrievedImageFlags[], |
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string& filename, bool& isFileReading ) |
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{ |
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filename.clear(); |
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cv::CommandLineParser parser(argc, argv, "{h help||}{cd|1|}{fmd|0|}{mode|-1|}{m|010100|}{r||}"); |
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if (parser.has("h")) |
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{ |
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help(); |
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printCommandLineParams(); |
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exit(0); |
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} |
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isColorizeDisp = (parser.get<int>("cd") != 0); |
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isFixedMaxDisp = (parser.get<int>("fmd") != 0); |
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imageMode = parser.get<int>("mode"); |
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int flags = parser.get<int>("m"); |
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isFileReading = parser.has("r"); |
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if (isFileReading) |
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filename = parser.get<string>("r"); |
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if (!parser.check()) |
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{ |
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parser.printErrors(); |
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help(); |
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exit(-1); |
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} |
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if (flags % 1000000 == 0) |
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{ |
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cout << "No one output image is selected." << endl; |
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exit(0); |
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} |
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for (int i = 0; i < 6; i++) |
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{ |
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retrievedImageFlags[5 - i] = (flags % 10 != 0); |
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flags /= 10; |
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} |
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} |
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/* |
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* To work with Kinect or XtionPRO 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( int argc, char* argv[] ) |
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{ |
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bool isColorizeDisp, isFixedMaxDisp; |
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int imageMode; |
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bool retrievedImageFlags[6]; |
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string filename; |
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bool isVideoReading; |
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parseCommandLine( argc, argv, isColorizeDisp, isFixedMaxDisp, imageMode, retrievedImageFlags, filename, isVideoReading ); |
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cout << "Device opening ..." << endl; |
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VideoCapture capture; |
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if( isVideoReading ) |
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capture.open( filename ); |
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else |
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{ |
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capture.open( CAP_OPENNI2 ); |
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if( !capture.isOpened() ) |
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capture.open( CAP_OPENNI ); |
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} |
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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( !isVideoReading && imageMode >= 0 ) |
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{ |
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bool modeRes=false; |
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switch ( imageMode ) |
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{ |
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case 0: |
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modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_VGA_30HZ ); |
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break; |
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case 1: |
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modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_SXGA_15HZ ); |
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break; |
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case 2: |
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modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_SXGA_30HZ ); |
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break; |
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//The following modes are only supported by the Xtion Pro Live |
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case 3: |
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modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_QVGA_30HZ ); |
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break; |
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case 4: |
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modeRes = capture.set( CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CAP_OPENNI_QVGA_60HZ ); |
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break; |
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default: |
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CV_Error( Error::StsBadArg, "Unsupported image mode property.\n"); |
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} |
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if (!modeRes) |
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cout << "\nThis image mode is not supported by the device, the default value (CV_CAP_OPENNI_SXGA_15HZ) will be used.\n" << endl; |
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} |
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// turn on depth, color and IR if needed |
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if (retrievedImageFlags[0] || retrievedImageFlags[1] || retrievedImageFlags[2]) |
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capture.set(CAP_OPENNI_DEPTH_GENERATOR_PRESENT, true); |
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else |
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capture.set(CAP_OPENNI_DEPTH_GENERATOR_PRESENT, false); |
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if (retrievedImageFlags[3] || retrievedImageFlags[4]) |
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capture.set(CAP_OPENNI_IMAGE_GENERATOR_PRESENT, true); |
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else |
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capture.set(CAP_OPENNI_IMAGE_GENERATOR_PRESENT, false); |
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if (retrievedImageFlags[5]) |
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capture.set(CAP_OPENNI_IR_GENERATOR_PRESENT, true); |
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else |
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capture.set(CAP_OPENNI_IR_GENERATOR_PRESENT, false); |
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// Print some available device settings. |
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if (capture.get(CAP_OPENNI_DEPTH_GENERATOR_PRESENT)) |
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{ |
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cout << "\nDepth generator output mode:" << endl << |
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"FRAME_WIDTH " << capture.get(CAP_PROP_FRAME_WIDTH) << endl << |
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"FRAME_HEIGHT " << capture.get(CAP_PROP_FRAME_HEIGHT) << endl << |
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"FRAME_MAX_DEPTH " << capture.get(CAP_PROP_OPENNI_FRAME_MAX_DEPTH) << " mm" << endl << |
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"FPS " << capture.get(CAP_PROP_FPS) << endl << |
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"REGISTRATION " << capture.get(CAP_PROP_OPENNI_REGISTRATION) << endl; |
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} |
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else |
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{ |
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cout << "\nDevice doesn't contain depth generator or it is not selected." << endl; |
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} |
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if( capture.get( CAP_OPENNI_IMAGE_GENERATOR_PRESENT ) ) |
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{ |
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cout << |
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"\nImage generator output mode:" << endl << |
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"FRAME_WIDTH " << capture.get( CAP_OPENNI_IMAGE_GENERATOR+CAP_PROP_FRAME_WIDTH ) << endl << |
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"FRAME_HEIGHT " << capture.get( CAP_OPENNI_IMAGE_GENERATOR+CAP_PROP_FRAME_HEIGHT ) << endl << |
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"FPS " << capture.get( CAP_OPENNI_IMAGE_GENERATOR+CAP_PROP_FPS ) << endl; |
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} |
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else |
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{ |
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cout << "\nDevice doesn't contain image generator or it is not selected." << endl; |
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} |
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if( capture.get(CAP_OPENNI_IR_GENERATOR_PRESENT) ) |
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{ |
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cout << |
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"\nIR generator output mode:" << endl << |
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"FRAME_WIDTH " << capture.get(CAP_OPENNI_IR_GENERATOR + CAP_PROP_FRAME_WIDTH) << endl << |
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"FRAME_HEIGHT " << capture.get(CAP_OPENNI_IR_GENERATOR + CAP_PROP_FRAME_HEIGHT) << endl << |
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"FPS " << capture.get(CAP_OPENNI_IR_GENERATOR + CAP_PROP_FPS) << endl; |
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} |
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else |
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{ |
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cout << "\nDevice doesn't contain IR generator or it is not selected." << endl; |
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} |
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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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Mat irImage; |
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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( retrievedImageFlags[0] && capture.retrieve( depthMap, CAP_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( retrievedImageFlags[1] && capture.retrieve( disparityMap, CAP_OPENNI_DISPARITY_MAP ) ) |
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{ |
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if( isColorizeDisp ) |
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{ |
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Mat colorDisparityMap; |
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colorizeDisparity( disparityMap, colorDisparityMap, isFixedMaxDisp ? getMaxDisparity(capture) : -1 ); |
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Mat validColorDisparityMap; |
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colorDisparityMap.copyTo( validColorDisparityMap, disparityMap != 0 ); |
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imshow( "colorized disparity map", validColorDisparityMap ); |
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} |
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else |
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{ |
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imshow( "original disparity map", disparityMap ); |
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} |
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} |
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if( retrievedImageFlags[2] && capture.retrieve( validDepthMap, CAP_OPENNI_VALID_DEPTH_MASK ) ) |
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imshow( "valid depth mask", validDepthMap ); |
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if( retrievedImageFlags[3] && capture.retrieve( bgrImage, CAP_OPENNI_BGR_IMAGE ) ) |
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imshow( "rgb image", bgrImage ); |
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if( retrievedImageFlags[4] && capture.retrieve( grayImage, CAP_OPENNI_GRAY_IMAGE ) ) |
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imshow( "gray image", grayImage ); |
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if( retrievedImageFlags[5] && capture.retrieve( irImage, CAP_OPENNI_IR_IMAGE ) ) |
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{ |
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Mat ir8; |
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irImage.convertTo(ir8, CV_8U, 256.0 / 3500, 0.0); |
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imshow("IR image", ir8); |
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} |
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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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