From 1007c06d44a118566bbc0200577942423b38911d Mon Sep 17 00:00:00 2001 From: Dmitriy Anisimov Date: Sat, 13 Sep 2014 18:28:41 +0400 Subject: [PATCH 1/4] initial commit --- samples/cpp/airplane.jpg | Bin 85238 -> 0 bytes samples/cpp/baboon200.jpg | Bin 21952 -> 0 bytes samples/cpp/baboon200_rotated.jpg | Bin 11226 -> 0 bytes samples/cpp/bgfg_segm.cpp | 2 +- samples/cpp/connected_components.cpp | 4 +- samples/cpp/demhist.cpp | 4 +- samples/cpp/dft.cpp | 4 +- samples/cpp/distrans.cpp | 4 +- samples/cpp/edge.cpp | 4 +- samples/cpp/facedetect.cpp | 4 +- samples/cpp/ffilldemo.cpp | 4 +- samples/cpp/filestorage.cpp | 4 +- samples/cpp/fitellipse.cpp | 4 +- samples/cpp/houghcircles.cpp | 4 +- samples/cpp/houghlines.cpp | 4 +- samples/cpp/image.cpp | 4 +- samples/cpp/image_alignment.cpp | 6 +- samples/cpp/inpaint.cpp | 4 +- samples/cpp/letter_recog.cpp | 2 +- samples/cpp/logistic_regression.cpp | 2 +- samples/cpp/logo.png | Bin 939 -> 0 bytes samples/cpp/logo_in_clutter.png | Bin 95962 -> 0 bytes samples/cpp/lsd_lines.cpp | 4 +- samples/cpp/memorial.exr | Bin 1275047 -> 0 bytes samples/cpp/morphology2.cpp | 2 +- samples/cpp/puzzle.png | Bin 646219 -> 0 bytes samples/cpp/scene_l.bmp | Bin 111670 -> 0 bytes samples/cpp/scene_r.bmp | Bin 111670 -> 0 bytes samples/cpp/shape_example.cpp | 4 +- samples/cpp/squares.cpp | 4 +- samples/cpp/stereo_calib.cpp | 4 +- samples/cpp/tsukuba_l.png | Bin 85192 -> 0 bytes samples/cpp/tsukuba_r.png | Bin 85104 -> 0 bytes .../discrete_fourier_transform.cpp | 4 +- .../file_input_output/file_input_output.cpp | 2 +- .../interoperability_with_OpenCV_1.cpp | 4 +- .../core/ippasync/ippasync_sample.cpp | 2 +- .../mat_mask_operations.cpp | 4 +- .../tutorial_code/features2D/AKAZE_match.cpp | 6 +- samples/cpp/ufacedetect.cpp | 2 +- samples/cpp/watershed.cpp | 4 +- samples/cpp/waveform.data | 5000 ----------------- samples/{gpu => data}/768x576.avi | Bin samples/{cpp => data}/H1to3p.xml | 0 samples/{python2 => }/data/aero1.jpg | Bin samples/{python2 => }/data/aero3.jpg | Bin samples/{gpu => data}/aloeL.jpg | Bin samples/{gpu => data}/aloeR.jpg | Bin samples/{cpp => data}/baboon.jpg | Bin samples/{gpu => data}/basketball1.png | Bin samples/{gpu => data}/basketball2.png | Bin samples/{cpp => data}/board.jpg | Bin samples/{cpp => data}/box.png | Bin samples/{cpp => data}/box_in_scene.png | Bin samples/{cpp => data}/building.jpg | Bin samples/{cpp => data}/data01.xml | 0 samples/{python2 => }/data/digits.png | Bin samples/{cpp => data}/fruits.jpg | Bin samples/{cpp => data}/graf1.png | Bin samples/{cpp => data}/graf3.png | Bin samples/{cpp => data}/intrinsics.yml | 0 samples/{cpp => data}/left01.jpg | Bin samples/{cpp => data}/left02.jpg | Bin samples/{cpp => data}/left03.jpg | Bin samples/{cpp => data}/left04.jpg | Bin samples/{cpp => data}/left05.jpg | Bin samples/{cpp => data}/left06.jpg | Bin samples/{cpp => data}/left07.jpg | Bin samples/{cpp => data}/left08.jpg | Bin samples/{cpp => data}/left09.jpg | Bin samples/{cpp => data}/left11.jpg | Bin samples/{cpp => data}/left12.jpg | Bin samples/{cpp => data}/left13.jpg | Bin samples/{cpp => data}/left14.jpg | Bin samples/{cpp => data}/lena.jpg | Bin samples/{cpp => data}/letter-recognition.data | 0 .../data/licenseplate_motion.jpg | Bin samples/{cpp => data}/pic1.png | Bin samples/{cpp => data}/pic2.png | Bin samples/{cpp => data}/pic3.png | Bin samples/{cpp => data}/pic4.png | Bin samples/{cpp => data}/pic5.png | Bin samples/{cpp => data}/pic6.png | Bin samples/{cpp => data}/right01.jpg | Bin samples/{cpp => data}/right02.jpg | Bin samples/{cpp => data}/right03.jpg | Bin samples/{cpp => data}/right04.jpg | Bin samples/{cpp => data}/right05.jpg | Bin samples/{cpp => data}/right06.jpg | Bin samples/{cpp => data}/right07.jpg | Bin samples/{cpp => data}/right08.jpg | Bin samples/{cpp => data}/right09.jpg | Bin samples/{cpp => data}/right11.jpg | Bin samples/{cpp => data}/right12.jpg | Bin samples/{cpp => data}/right13.jpg | Bin samples/{cpp => data}/right14.jpg | Bin samples/{gpu => data}/rubberwhale1.png | Bin samples/{gpu => data}/rubberwhale2.png | Bin samples/{cpp => data}/shape_sample/1.png | Bin samples/{cpp => data}/shape_sample/10.png | Bin samples/{cpp => data}/shape_sample/11.png | Bin samples/{cpp => data}/shape_sample/12.png | Bin samples/{cpp => data}/shape_sample/13.png | Bin samples/{cpp => data}/shape_sample/14.png | Bin samples/{cpp => data}/shape_sample/15.png | Bin samples/{cpp => data}/shape_sample/16.png | Bin samples/{cpp => data}/shape_sample/17.png | Bin samples/{cpp => data}/shape_sample/18.png | Bin samples/{cpp => data}/shape_sample/19.png | Bin samples/{cpp => data}/shape_sample/2.png | Bin samples/{cpp => data}/shape_sample/20.png | Bin samples/{cpp => data}/shape_sample/3.png | Bin samples/{cpp => data}/shape_sample/4.png | Bin samples/{cpp => data}/shape_sample/5.png | Bin samples/{cpp => data}/shape_sample/6.png | Bin samples/{cpp => data}/shape_sample/7.png | Bin samples/{cpp => data}/shape_sample/8.png | Bin samples/{cpp => data}/shape_sample/9.png | Bin samples/{python2 => }/data/starry_night.jpg | Bin samples/{cpp => data}/stereo_calib.xml | 1 - samples/{cpp => data}/stuff.jpg | Bin samples/{cpp => data}/templ.png | Bin samples/{python2 => }/data/text_defocus.jpg | Bin samples/{python2 => }/data/text_motion.jpg | Bin samples/{cpp => data}/tree.avi | Bin samples/gpu/bgfg_segm.cpp | 2 +- samples/gpu/generalized_hough.cpp | 2 +- samples/gpu/houghlines.cpp | 4 +- samples/gpu/morphology.cpp | 2 +- samples/gpu/performance/tests.cpp | 38 +- samples/gpu/road.png | Bin 691285 -> 0 bytes samples/gpu/tsucuba_left.png | Bin 174536 -> 0 bytes samples/gpu/tsucuba_right.png | Bin 174348 -> 0 bytes samples/python2/asift.py | 4 +- samples/python2/coherence.py | 2 +- samples/python2/color_histogram.py | 2 +- samples/python2/deconvolution.py | 8 +- samples/python2/dft.py | 2 +- samples/python2/digits.py | 4 +- samples/python2/distrans.py | 2 +- samples/python2/facedetect.py | 2 +- samples/python2/find_obj.py | 4 +- samples/python2/floodfill.py | 2 +- samples/python2/gabor_threads.py | 2 +- samples/python2/grabcut.py | 4 +- samples/python2/hist.py | 2 +- samples/python2/houghcircles.py | 4 +- samples/python2/houghlines.py | 4 +- samples/python2/inpaint.py | 2 +- samples/python2/letter_recog.py | 2 +- samples/python2/logpolar.py | 2 +- samples/python2/morphology.py | 2 +- samples/python2/stereo_match.py | 4 +- samples/python2/texture_flow.py | 2 +- samples/python2/video.py | 8 +- samples/python2/watershed.py | 2 +- samples/tapi/bgfg_segm.cpp | 2 +- samples/tapi/hog.cpp | 2 +- samples/tapi/squares.cpp | 2 +- 159 files changed, 118 insertions(+), 5119 deletions(-) delete mode 100644 samples/cpp/airplane.jpg delete mode 100644 samples/cpp/baboon200.jpg delete mode 100644 samples/cpp/baboon200_rotated.jpg delete mode 100644 samples/cpp/logo.png delete mode 100644 samples/cpp/logo_in_clutter.png delete mode 100644 samples/cpp/memorial.exr delete mode 100644 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data}/fruits.jpg (100%) rename samples/{cpp => data}/graf1.png (100%) rename samples/{cpp => data}/graf3.png (100%) rename samples/{cpp => data}/intrinsics.yml (100%) rename samples/{cpp => data}/left01.jpg (100%) rename samples/{cpp => data}/left02.jpg (100%) rename samples/{cpp => data}/left03.jpg (100%) rename samples/{cpp => data}/left04.jpg (100%) rename samples/{cpp => data}/left05.jpg (100%) rename samples/{cpp => data}/left06.jpg (100%) rename samples/{cpp => data}/left07.jpg (100%) rename samples/{cpp => data}/left08.jpg (100%) rename samples/{cpp => data}/left09.jpg (100%) rename samples/{cpp => data}/left11.jpg (100%) rename samples/{cpp => data}/left12.jpg (100%) rename samples/{cpp => data}/left13.jpg (100%) rename samples/{cpp => data}/left14.jpg (100%) rename samples/{cpp => data}/lena.jpg (100%) rename samples/{cpp => data}/letter-recognition.data (100%) rename samples/{python2 => }/data/licenseplate_motion.jpg (100%) rename samples/{cpp => data}/pic1.png (100%) rename 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(100%) rename samples/{cpp => data}/shape_sample/9.png (100%) rename samples/{python2 => }/data/starry_night.jpg (100%) rename samples/{cpp => data}/stereo_calib.xml (99%) rename samples/{cpp => data}/stuff.jpg (100%) rename samples/{cpp => data}/templ.png (100%) rename samples/{python2 => }/data/text_defocus.jpg (100%) rename samples/{python2 => }/data/text_motion.jpg (100%) rename samples/{cpp => data}/tree.avi (100%) delete mode 100644 samples/gpu/road.png delete mode 100644 samples/gpu/tsucuba_left.png delete mode 100644 samples/gpu/tsucuba_right.png diff --git a/samples/cpp/airplane.jpg b/samples/cpp/airplane.jpg deleted file mode 100644 index a9b465267d4de1bdc184b03349287cd2fab6b149..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 85238 zcmbTdWmH>T^zIupxI+U355*~7TuOliin|tvP%O9S=Y_p%h$@oj+YtcYQxVAbFp%;V^(msakO*sXZ8`~mmv7J3U~*=!u&7(`^0(- zY+UUB0uL7#2NxfYfB+v4AD@7Tl$d~!gb*K}n1Yyul#HC5oPdaeih_*t@t6$bzq7Eg 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z*352bFMX!^YhumFy;f49Q<(g{k534)&OSxG{j>JpM=i!<+7wqcc3QYLf@j`xY+P~ZhYd%SjE-VXtkdNN9{$;bVb|Zkx_U*2Iqh*VY7}M|e;P@cf3k@=K z#dq@lPIJpOQTPBkPc#QR&?K#p+h!HcdsLS97Wb{0;*I)WaOG?ot#1w)ULEKxW$rJf z|CHqC>Jg%hZeDtq&&&5s^Xq>@2j!W7I?wm0$WQimG-ebJ!Bbipr@D7=r49U{`Nort zpf7ZUmxSZMm<#cS0|)1z&oM?zl%9omP;iD>8mnOu`NLXgXn}jIX3fmh)9o|s*?@S>aK(KC*{tig zG>Ee7#W1N;1Kf2%cE&M!)xgxh6D}JG4Tx{tzDSXHToUQe}^jNU4wU*+d%L8(>UmeULX2 zVd&|m4C&kVj*}Ehh{Wu6gJF=YANP}Mg=S=S8xY}6n%>?#%-}rdo7*C|)Vi6y^fh2# z>x|*Im*C<)o-ixte=qX?Z(!(NQZ#X8nO)u(kqMO5apd?LCoMWd}PJ-s1v2vzL);3rK$3veo0>3 Of4_DB{~v&PTmB!xMl~t` diff --git a/samples/cpp/bgfg_segm.cpp b/samples/cpp/bgfg_segm.cpp index 94aa4d8387..c02185a655 100644 --- a/samples/cpp/bgfg_segm.cpp +++ b/samples/cpp/bgfg_segm.cpp @@ -23,7 +23,7 @@ const char* keys = "{c camera | | use camera or not}" "{m method |mog2 | method (knn or mog2) }" "{s smooth | | smooth the mask }" - "{fn file_name|tree.avi | movie file }" + "{fn file_name|../data/tree.avi | movie file }" }; //this is a sample for foreground detection functions diff --git a/samples/cpp/connected_components.cpp b/samples/cpp/connected_components.cpp index 32bd0dc053..d1c3411a79 100644 --- a/samples/cpp/connected_components.cpp +++ b/samples/cpp/connected_components.cpp @@ -36,14 +36,14 @@ static void help() { cout << "\n This program demonstrates connected components and use of the trackbar\n" "Usage: \n" - " ./connected_components \n" + " ./connected_components \n" "The image is converted to grayscale and displayed, another image has a trackbar\n" "that controls thresholding and thereby the extracted contours which are drawn in color\n"; } const char* keys = { - "{@image|stuff.jpg|image for converting to a grayscale}" + "{@image|../data/stuff.jpg|image for converting to a grayscale}" }; int main( int argc, const char** argv ) diff --git a/samples/cpp/demhist.cpp b/samples/cpp/demhist.cpp index 033b63d82c..39661f0a88 100644 --- a/samples/cpp/demhist.cpp +++ b/samples/cpp/demhist.cpp @@ -59,12 +59,12 @@ static void updateBrightnessContrast( int /*arg*/, void* ) static void help() { std::cout << "\nThis program demonstrates the use of calcHist() -- histogram creation.\n" - << "Usage: \n" << "demhist [image_name -- Defaults to baboon.jpg]" << std::endl; + << "Usage: \n" << "demhist [image_name -- Defaults to ../data/baboon.jpg]" << std::endl; } const char* keys = { - "{@image|baboon.jpg|input image file}" + "{@image|../data/baboon.jpg|input image file}" }; int main( int argc, const char** argv ) diff --git a/samples/cpp/dft.cpp b/samples/cpp/dft.cpp index c4034e896c..0525d9f4fa 100644 --- a/samples/cpp/dft.cpp +++ b/samples/cpp/dft.cpp @@ -14,12 +14,12 @@ static void help() printf("\nThis program demonstrated the use of the discrete Fourier transform (dft)\n" "The dft of an image is taken and it's power spectrum is displayed.\n" "Usage:\n" - "./dft [image_name -- default lena.jpg]\n"); + "./dft [image_name -- default ../data/lena.jpg]\n"); } const char* keys = { - "{@image|lena.jpg|input image file}" + "{@image|../data/lena.jpg|input image file}" }; int main(int argc, const char ** argv) diff --git a/samples/cpp/distrans.cpp b/samples/cpp/distrans.cpp index 8f0ae57b55..070df3c488 100644 --- a/samples/cpp/distrans.cpp +++ b/samples/cpp/distrans.cpp @@ -91,7 +91,7 @@ static void help() { printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n" "Usage:\n" - "./distrans [image_name -- default image is stuff.jpg]\n" + "./distrans [image_name -- default image is ../data/stuff.jpg]\n" "\nHot keys: \n" "\tESC - quit the program\n" "\tC - use C/Inf metric\n" @@ -107,7 +107,7 @@ static void help() const char* keys = { - "{@image |stuff.jpg|input image file}" + "{@image |../data/stuff.jpg|input image file}" }; int main( int argc, const char** argv ) diff --git a/samples/cpp/edge.cpp b/samples/cpp/edge.cpp index a4c0f5d0bb..4b398e7774 100644 --- a/samples/cpp/edge.cpp +++ b/samples/cpp/edge.cpp @@ -28,12 +28,12 @@ static void help() { printf("\nThis sample demonstrates Canny edge detection\n" "Call:\n" - " /.edge [image_name -- Default is fruits.jpg]\n\n"); + " /.edge [image_name -- Default is ../data/fruits.jpg]\n\n"); } const char* keys = { - "{@image |fruits.jpg|input image name}" + "{@image |../data/fruits.jpg|input image name}" }; int main( int argc, const char** argv ) diff --git a/samples/cpp/facedetect.cpp b/samples/cpp/facedetect.cpp index 0c747d394b..1206245ef6 100644 --- a/samples/cpp/facedetect.cpp +++ b/samples/cpp/facedetect.cpp @@ -118,8 +118,8 @@ int main( int argc, const char** argv ) } else { - image = imread( "lena.jpg", 1 ); - if(image.empty()) cout << "Couldn't read lena.jpg" << endl; + image = imread( "../data/lena.jpg", 1 ); + if(image.empty()) cout << "Couldn't read ../data/lena.jpg" << endl; } cvNamedWindow( "result", 1 ); diff --git a/samples/cpp/ffilldemo.cpp b/samples/cpp/ffilldemo.cpp index 46d08186a3..e099587a11 100644 --- a/samples/cpp/ffilldemo.cpp +++ b/samples/cpp/ffilldemo.cpp @@ -12,7 +12,7 @@ static void help() { cout << "\nThis program demonstrated the floodFill() function\n" "Call:\n" - "./ffilldemo [image_name -- Default: fruits.jpg]\n" << endl; + "./ffilldemo [image_name -- Default: ../data/fruits.jpg]\n" << endl; cout << "Hot keys: \n" "\tESC - quit the program\n" @@ -73,7 +73,7 @@ static void onMouse( int event, int x, int y, int, void* ) int main( int argc, char** argv ) { - char* filename = argc >= 2 ? argv[1] : (char*)"fruits.jpg"; + char* filename = argc >= 2 ? argv[1] : (char*)"../data/fruits.jpg"; image0 = imread(filename, 1); if( image0.empty() ) diff --git a/samples/cpp/filestorage.cpp b/samples/cpp/filestorage.cpp index 519fd2b686..41043d11cc 100644 --- a/samples/cpp/filestorage.cpp +++ b/samples/cpp/filestorage.cpp @@ -85,8 +85,8 @@ int main(int ac, char** av) cout << "writing images\n"; fs << "images" << "["; - fs << "image1.jpg" << "myfi.png" << "baboon.jpg"; - cout << "image1.jpg" << " myfi.png" << " baboon.jpg" << endl; + fs << "image1.jpg" << "myfi.png" << "../data/baboon.jpg"; + cout << "image1.jpg" << " myfi.png" << " ../data/baboon.jpg" << endl; fs << "]"; diff --git a/samples/cpp/fitellipse.cpp b/samples/cpp/fitellipse.cpp index 1e9a85857a..bd6b77d8a6 100644 --- a/samples/cpp/fitellipse.cpp +++ b/samples/cpp/fitellipse.cpp @@ -27,7 +27,7 @@ using namespace std; // "\nThis program is demonstration for ellipse fitting. The program finds\n" // "contours and approximate it by ellipses.\n" // "Call:\n" -// "./fitellipse [image_name -- Default stuff.jpg]\n" << endl; +// "./fitellipse [image_name -- Default ../data/stuff.jpg]\n" << endl; // } int sliderPos = 70; @@ -38,7 +38,7 @@ void processImage(int, void*); int main( int argc, char** argv ) { - const char* filename = argc == 2 ? argv[1] : (char*)"stuff.jpg"; + const char* filename = argc == 2 ? argv[1] : (char*)"../data/stuff.jpg"; image = imread(filename, 0); if( image.empty() ) { diff --git a/samples/cpp/houghcircles.cpp b/samples/cpp/houghcircles.cpp index 2a20b62a76..34a2e6b7e8 100644 --- a/samples/cpp/houghcircles.cpp +++ b/samples/cpp/houghcircles.cpp @@ -11,12 +11,12 @@ static void help() { cout << "\nThis program demonstrates circle finding with the Hough transform.\n" "Usage:\n" - "./houghcircles , Default is pic1.png\n" << endl; + "./houghcircles , Default is ../data/board.jpg\n" << endl; } int main(int argc, char** argv) { - const char* filename = argc >= 2 ? argv[1] : "board.jpg"; + const char* filename = argc >= 2 ? argv[1] : "../data/board.jpg"; Mat img = imread(filename, 0); if(img.empty()) diff --git a/samples/cpp/houghlines.cpp b/samples/cpp/houghlines.cpp index ad472a47cc..ec825ab6b4 100644 --- a/samples/cpp/houghlines.cpp +++ b/samples/cpp/houghlines.cpp @@ -11,12 +11,12 @@ static void help() { cout << "\nThis program demonstrates line finding with the Hough transform.\n" "Usage:\n" - "./houghlines , Default is pic1.png\n" << endl; + "./houghlines , Default is ../data/pic1.png\n" << endl; } int main(int argc, char** argv) { - const char* filename = argc >= 2 ? argv[1] : "pic1.png"; + const char* filename = argc >= 2 ? argv[1] : "../data/pic1.png"; Mat src = imread(filename, 0); if(src.empty()) diff --git a/samples/cpp/image.cpp b/samples/cpp/image.cpp index a9a18e3127..cf97dda259 100644 --- a/samples/cpp/image.cpp +++ b/samples/cpp/image.cpp @@ -14,7 +14,7 @@ static void help() "It shows reading of images, converting to planes and merging back, color conversion\n" "and also iterating through pixels.\n" "Call:\n" - "./image [image-name Default: lena.jpg]\n" << endl; + "./image [image-name Default: ../data/lena.jpg]\n" << endl; } // enable/disable use of mixed API in the code below. @@ -28,7 +28,7 @@ static void help() int main( int argc, char** argv ) { help(); - const char* imagename = argc > 1 ? argv[1] : "lena.jpg"; + const char* imagename = argc > 1 ? argv[1] : "../data/lena.jpg"; #if DEMO_MIXED_API_USE Ptr iplimg(cvLoadImage(imagename)); // Ptr is safe ref-counting pointer class if(!iplimg) diff --git a/samples/cpp/image_alignment.cpp b/samples/cpp/image_alignment.cpp index 85fcc919de..08814b84fd 100644 --- a/samples/cpp/image_alignment.cpp +++ b/samples/cpp/image_alignment.cpp @@ -3,7 +3,7 @@ * findTransformECC that implements the image alignment ECC algorithm * * -* The demo loads an image (defaults to fruits.jpg) and it artificially creates +* The demo loads an image (defaults to ../data/fruits.jpg) and it artificially creates * a template image based on the given motion type. When two images are given, * the first image is the input image and the second one defines the template image. * In the latter case, you can also parse the warp's initialization. @@ -44,7 +44,7 @@ static void draw_warped_roi(Mat& image, const int width, const int height, Mat& const std::string keys = - "{@inputImage | fruits.jpg | input image filename }" + "{@inputImage | ../data/fruits.jpg | input image filename }" "{@templateImage | | template image filename (optional)}" "{@inputWarp | | input warp (matrix) filename (optional)}" "{n numOfIter | 50 | ECC's iterations }" @@ -64,7 +64,7 @@ static void help(void) " are given, the initialization of the warp by command line parsing is possible. " "If inputWarp is missing, the identity transformation initializes the algorithm. \n" << endl; - cout << "\nUsage example (one image): \n./ecc fruits.jpg -o=outWarp.ecc " + cout << "\nUsage example (one image): \n./ecc ../data/fruits.jpg -o=outWarp.ecc " "-m=euclidean -e=1e-6 -N=70 -v=1 \n" << endl; cout << "\nUsage example (two images with initialization): \n./ecc yourInput.png yourTemplate.png " diff --git a/samples/cpp/inpaint.cpp b/samples/cpp/inpaint.cpp index 7d17d0bf9f..55bd91b73b 100644 --- a/samples/cpp/inpaint.cpp +++ b/samples/cpp/inpaint.cpp @@ -14,7 +14,7 @@ static void help() << "with surrounding image areas.\n" "Using OpenCV version %s\n" << CV_VERSION << "\n" "Usage:\n" - "./inpaint [image_name -- Default fruits.jpg]\n" << endl; + "./inpaint [image_name -- Default ../data/fruits.jpg]\n" << endl; cout << "Hot keys: \n" "\tESC - quit the program\n" @@ -47,7 +47,7 @@ static void onMouse( int event, int x, int y, int flags, void* ) int main( int argc, char** argv ) { - char* filename = argc >= 2 ? argv[1] : (char*)"fruits.jpg"; + char* filename = argc >= 2 ? argv[1] : (char*)"../data/fruits.jpg"; Mat img0 = imread(filename, -1); if(img0.empty()) { diff --git a/samples/cpp/letter_recog.cpp b/samples/cpp/letter_recog.cpp index b6a35e338f..66a59318cc 100644 --- a/samples/cpp/letter_recog.cpp +++ b/samples/cpp/letter_recog.cpp @@ -489,7 +489,7 @@ int main( int argc, char *argv[] ) { string filename_to_save = ""; string filename_to_load = ""; - string data_filename = "./letter-recognition.data"; + string data_filename = "../data/letter-recognition.data"; int method = 0; int i; diff --git a/samples/cpp/logistic_regression.cpp b/samples/cpp/logistic_regression.cpp index a30853a819..1aeb42d925 100644 --- a/samples/cpp/logistic_regression.cpp +++ b/samples/cpp/logistic_regression.cpp @@ -83,7 +83,7 @@ static float calculateAccuracyPercent(const Mat &original, const Mat &predicted) int main() { - const String filename = "data01.xml"; + const String filename = 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Now loading building.jpg" << std::endl; - in = "building.jpg"; + std::cout << "Usage: lsd_lines [input image]. Now loading ../data/building.jpg" << std::endl; + in = "../data/building.jpg"; } else { diff --git a/samples/cpp/memorial.exr b/samples/cpp/memorial.exr deleted file mode 100644 index 8ea854505609e3c8e93d2141777938a9a1b649cc..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1275047 zcmeFXWmH{XlQ)RF2X_b%90CN_kPrgF-GjS(a0n3GJ-EBO26uONfJ(z zX=vqO|93_{a7P;_T?5`BjRrx9Tw@goLTxKPb!dq+a!U{I|u<0V1@cyCd#1w zmM|3Pzh%S2ABo!e=UyWEVE)E~*s*@g)#*R-*(e%-fMA7GhWoSfKWFrJ&_C>7@n`*C z?dOnxXa6S#3HJZJ{>1*Vp7rPJzhi&x=aK(Y|IfI8*YBTkz(M~yCfIsz|6sqh|6+sP ze|&%C-^gc)@n^>W=>4z0fAr_sF#iqyw+{p)=JS02YlHYdyTQZ!ZhwY(o(H_9-xpXu z&kLUaH}c=sfPwjpLSkZo$A6yT?*|eC^Pl#Q0s)Q$BhUQz^&9@9|3)$X!}B-dzsmpa z{~z|>`Tpy)|AGE9-~ZYE5AXAm{%iXe`|nWCD}HXz9K4)A?Z3-^;Q!NjzeE1^`+pn% zcbxwx^108y`#i7dU-AEL|MC63fq!HF+W(vU8}}@qufOtti~o1{zx2WQj|RRO;MhM0 z#L6!Ba&_)N- zW(EJl!3vnFz5CL1L6#w2OXWSI-DPdkN*-v7`j6k2Au~2Ll`=O{}TP^ z5*&su3_T7B1Hl75E&>Aq_KH@I3)NtNhZU*;n-~z67~IeuqTLW8F#Mut&k=m0T>vx~ z5S{7}K}UbYLGQ#6J);tMc8Wk?fQJ%>;Rh>^m|z1P%qkq2G&2^=N+NR8f){>X$5{QvF$6FWeFzB2xZ13nMuH4vg_96~T6 z=pExiXAVM0qUSIWqSO4MQvj6cwjlUW@q_Jd0q}9Ug1|UN8^8K9hzJb$%81SJIfkA@=ANcABVd$}=Gc(5Havz`SeurdfPKEDxgAqr-Eu1J6ClEky}OhI6xiUt=kF#l7~{&2)+(-)CE8iDFR z3m^iqZU3Lz2riQNwt?VkDNK~v(DL>K2IXd|WPN|uQ?;v^%;zLcqqfdjOx>AzZ5cm3 zN+aa^%_#3Wpel3G{K$S2eg?x-)^Lh)w-&ysV|ID20n#3iSa!$mfn-+3E>^yS&=$qe z-#{zMD)S4(U4+IOC_y7@py@C|UAKV!NLyPK!%(&V6H*HQo+DwxaG#3&BJ+YA80n;A z@5+Rrlp*6Xrz;vmJ6uN&{ni`kTv_3VGivBTZ+la7&u-+o8a9j?Gc_Mz#GdI5iCsnk zPg6~IzHDMdobm~&$V`Bb^Jr(POP+#EnOBa|%L3xliHOco(EKrph~k9CH+IT*ioNuJrvZ7$y4Rs7jbvj?GWsOF(-`R> zvc2P!?3-$(RW& zjXg-t#V$E+-#PFPQ;tHOqPP=eT8pi^kp-K0Xi{{0$ArHu74_MjHU7%!-*;I#$E!31 z^GPFJE*_7SmoFhCoyF8@^mS`6n)PuzvU*1+^d}3f4k`34&&A>Qh8{zzP6v1yx==ZS zu=Es(i;p2W%<;IN4Uy05MoCpqjiuB3x?C_?WF}FItAxy?J>Tscy-L!J{XjtSzMK&G zF%tl7IblojE`3ws=^}bkD35Eixi59TSC$bht5E^&m|zzzxZfnsI%)-E6Q=f<={o`T zdfpUWT06O!4Hlfh@fNliFL{Vz;r`q2wM_kRpLY|=0z|WVxSd`PKeVVLt(B%3%!|p0 z6(9xRT=|NKzsn#}N7I$4Yryr}?-Yp}C~C6dN8$8F-|Ux1gy<*s;Z>mAiM_KG-S0b3 z%|oC0j`PmIYT)W+^uB7G14#t+Q*EQ5V|QhS*8^Mv_R_gi(aNP_pZS{BbegVIOJOT+SZ1MupXI*gKZyJcCqMeiV1w395a`0bA(I5I*1oZv76Y!S;h~+~gu1uE zElKFx!XMKi#ZsUmARyrM=U+m!mLO*a%zuQZMrInxmQq(&D}E(`zpukipr_5d;vH+? zo@&iss9wA3+1BZjb|c^1BzSA~u>l!#dOmet*xg0yob))^?0v485^y!(HcCir2)L~S zDQ{9+@~u9|pmvMfqhLZ&j8s-C*wjl|wdtrJY%ijqpX9pT$1L_N=HA?43Cyjuo}%4W zi=t*|{KE6tmq0C;wdh~vl%BB8M-LM+FNk!C@sh0zjA`>w7(;3HDsTO8s?7|Vy%(yl zj$3un7RCAIkiW`xd27S#|8XTmhCO1$WIqt+-ALOEHBv?n|4ZWnjV_$?Z<^v(IPe5a zLoLe63Vi%W@LzM@K`=p{bz$=B9^bluYZ{qGFf`CDLC1X1KFQ=zcxx+b z@l)X3x3}hNWrk}B{wv>U>H4Zm;Syz5`6fs% z%m5S7UJ|$$K#NuG>n$gbRgm?HmrtqLW>o)sKl0np0$3DIWcBdA77F!j>of}cA_@c| zHpC*lmM~iT(LLlNduy|uGj1lBsxt8Gn0h3ZG=+ryWjr^6PVwJ!dc8AEXCxDTV5FRI z2Hz-LX0K&q!|O3G-OBi5!6N3CvRA{X9g!*(CvV&!qr3rWKFp3w=zMj7Lx_PqlO!?x z^~3V!N{GyK9P+^Coj-v%StsZr*NE6pR%$xSd%wF9ZP4TG3JD zaZ}xl;IPAB1=sxW!P){5t*fpL?q-@n1jtdVs24PmFQ&DU;zv1TyZn%)oJy@yLm1Qk zrRTaTM@a%j=aH`M6;1Egt`*htW8t2c^>&2N-`qF3Kzux7hW>BjqO8o87t+OLlnIM;K?vhH9%D=)I!|hmp3;+f}6B%+kMQE8Ebce6xF9`Q$WFEtv=9uFu>eneY-vId@Z&p|Z)VfO8toN6NO$i#k6xE}5y)PT7(i4iyK+3vE?P(WsZ~cK5H3wv+Ue zxq{dq-L_uIh@Jf+n;sBe?aa*Pwq@}MQqGqYx_DJj)iG^oy~+S7ds|Oi=YX|^#PCIK z>!v>mVqAchDhf68hk}yc)Il>E)))=!$EpLWY%YExI1xT<{{(fH0d#0R)Eq9qz8z0~ z<58>5MVxx058AJUcV~Qp?O&78USP_x#GSthYCrY9c=zM#NIg;2z%sywrEwbS&0aY) zb8$Y!p+&Y5ZSdX?tj37d&#w3%2Hnn@b$4*%gw@GJA!?Zik8zpl3*O7KA+V^1W|as8 z`F9Pw#lu()vJ2es*6D8fuIq^+tS@*6;vTvEm5W%1Mfr95caaZ1RTJo_Vr!iPps

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const char* names[] = { "pic1.png", "pic2.png", "pic3.png", - "pic4.png", "pic5.png", "pic6.png", 0 }; + static const char* names[] = { "../data/pic1.png", "../data/pic2.png", "../data/pic3.png", + "../data/pic4.png", "../data/pic5.png", "../data/pic6.png", 0 }; help(); namedWindow( wndname, 1 ); vector > squares; diff --git a/samples/cpp/stereo_calib.cpp b/samples/cpp/stereo_calib.cpp index 667cffcf7e..44edb82589 100644 --- a/samples/cpp/stereo_calib.cpp +++ b/samples/cpp/stereo_calib.cpp @@ -212,7 +212,7 @@ StereoCalib(const vector& imagelist, Size boardSize, bool useCalibrated= cout << "average reprojection err = " << err/npoints << endl; // save intrinsic parameters - FileStorage fs("intrinsics.yml", FileStorage::WRITE); + FileStorage fs("../data/intrinsics.yml", FileStorage::WRITE); if( fs.isOpened() ) { fs << "M1" << cameraMatrix[0] << "D1" << distCoeffs[0] << @@ -382,7 +382,7 @@ int main(int argc, char** argv) if( imagelistfn == "" ) { - imagelistfn = "stereo_calib.xml"; + 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z=WYEXSNjLA_Pu=WO7G=M7e~h35L2xuFJ3X5hljeYLl-VwuvHs6hR+TS4LbC#*l~|7 z_>E1*rbetU!#^VC-pkmSpXKocReA_^SpK9eC@zA(-U}t=igG>&2L!P4_0b$AsUPJ? z>fnTwluE5o)YVjoOS$-(39xnSg%|z{KH=lVW2KTRc})%0L`h{>8-=2 ? argv[1] : "lena.jpg"; + const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg"; Mat I = imread(filename, IMREAD_GRAYSCALE); if( I.empty()) diff --git a/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp b/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp index 388b7744f1..8fc722df78 100644 --- a/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp +++ b/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp @@ -80,7 +80,7 @@ int main(int ac, char** av) fs << "iterationNr" << 100; fs << "strings" << "["; // text - string sequence - fs << "image1.jpg" << "Awesomeness" << "baboon.jpg"; + fs << "image1.jpg" << "Awesomeness" << "../data/baboon.jpg"; fs << "]"; // close sequence fs << "Mapping"; // text - mapping diff --git a/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp b/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp index 1b1c1bc6b3..e18bbeca68 100644 --- a/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp +++ b/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp @@ -17,7 +17,7 @@ static void help( char* progName) << "Also contains example for image read, spliting the planes, merging back and " << endl << " color conversion, plus iterating through pixels. " << endl << "Usage:" << endl - << progName << " [image-name Default: lena.jpg]" << endl << endl; + << progName << " [image-name Default: ../data/lena.jpg]" << endl << endl; } // comment out the define to use only the latest C++ API @@ -31,7 +31,7 @@ static void help( char* progName) int main( int argc, char** argv ) { help(argv[0]); - const char* imagename = argc > 1 ? argv[1] : "lena.jpg"; + const char* imagename = argc > 1 ? argv[1] : "../data/lena.jpg"; #ifdef DEMO_MIXED_API_USE Ptr IplI(cvLoadImage(imagename)); // Ptr is a safe ref-counting pointer class diff --git a/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp b/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp index 0cfc5e6932..0a25f15d12 100644 --- a/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp +++ b/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp @@ -36,7 +36,7 @@ static void help() const char* keys = { "{c camera | | use camera or not}" - "{fn file_name|baboon.jpg | image file }" + "{fn file_name|../data/baboon.jpg | image file }" "{a accel |auto | accelerator type: auto (default), cpu, gpu}" }; diff --git a/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp b/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp index 93e22ceb65..f0cbca1695 100644 --- a/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp +++ b/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp @@ -14,7 +14,7 @@ static void help(char* progName) << "This program shows how to filter images with mask: the write it yourself and the" << "filter2d way. " << endl << "Usage:" << endl - << progName << " [image_name -- default lena.jpg] [G -- grayscale] " << endl << endl; + << progName << " [image_name -- default ../data/lena.jpg] [G -- grayscale] " << endl << endl; } @@ -23,7 +23,7 @@ void Sharpen(const Mat& myImage,Mat& Result); int main( int argc, char* argv[]) { help(argv[0]); - const char* filename = argc >=2 ? argv[1] : "lena.jpg"; + const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg"; Mat I, J, K; diff --git a/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp b/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp index 894627eda9..c22efd64d2 100755 --- a/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp +++ b/samples/cpp/tutorial_code/features2D/AKAZE_match.cpp @@ -12,11 +12,11 @@ const float nn_match_ratio = 0.8f; // Nearest neighbor matching ratio int main(void) { - Mat img1 = imread("graf1.png", IMREAD_GRAYSCALE); - Mat img2 = imread("graf3.png", IMREAD_GRAYSCALE); + Mat img1 = imread("../data/graf1.png", IMREAD_GRAYSCALE); + Mat img2 = imread("../data/graf3.png", IMREAD_GRAYSCALE); Mat homography; - FileStorage fs("H1to3p.xml", FileStorage::READ); + FileStorage fs("../data/H1to3p.xml", FileStorage::READ); fs.getFirstTopLevelNode() >> homography; vector kpts1, kpts2; diff --git a/samples/cpp/ufacedetect.cpp b/samples/cpp/ufacedetect.cpp index a4a027157a..1e08b3e718 100644 --- a/samples/cpp/ufacedetect.cpp +++ b/samples/cpp/ufacedetect.cpp @@ -111,7 +111,7 @@ int main( int argc, const char** argv ) else { if( inputName.empty() ) - inputName = "lena.jpg"; + inputName = "../data/lena.jpg"; image = imread( inputName, 1 ).getUMat(ACCESS_READ); if( image.empty() ) { diff --git a/samples/cpp/watershed.cpp b/samples/cpp/watershed.cpp index e57c5aa1cf..b92bbf1fd1 100644 --- a/samples/cpp/watershed.cpp +++ b/samples/cpp/watershed.cpp @@ -13,7 +13,7 @@ static void help() { cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\n" "Usage:\n" - "./watershed [image_name -- default is fruits.jpg]\n" << endl; + "./watershed [image_name -- default is ../data/fruits.jpg]\n" << endl; cout << "Hot keys: \n" @@ -48,7 +48,7 @@ static void onMouse( int event, int x, int y, int flags, void* ) int main( int argc, char** argv ) { - char* filename = argc >= 2 ? argv[1] : (char*)"fruits.jpg"; + char* filename = argc >= 2 ? argv[1] : (char*)"../data/fruits.jpg"; Mat img0 = imread(filename, 1), imgGray; if( img0.empty() ) diff --git a/samples/cpp/waveform.data b/samples/cpp/waveform.data deleted file mode 100644 index 179e51af17..0000000000 --- a/samples/cpp/waveform.data +++ /dev/null @@ -1,5000 +0,0 @@ --1.23,-1.56,-1.75,-0.28,0.60,2.22,0.85,0.21,-0.20,0.89,1.08,4.20,2.89,7.75,4.59,3.15,5.12,3.32,1.20,0.24,-0.56,2 --0.69,2.43,0.61,2.08,2.30,3.25,5.52,4.55,2.97,2.22,2.81,1.61,1.24,1.89,1.88,-1.34,0.83,1.41,1.78,0.60,2.42,1 --0.12,-0.94,1.29,2.59,2.42,3.55,4.94,3.25,1.90,2.07,0.51,1.45,2.50,0.12,1.41,2.78,0.64,0.62,-0.01,-0.79,-0.12,0 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a/samples/python2/data/starry_night.jpg b/samples/data/starry_night.jpg similarity index 100% rename from samples/python2/data/starry_night.jpg rename to samples/data/starry_night.jpg diff --git a/samples/cpp/stereo_calib.xml b/samples/data/stereo_calib.xml similarity index 99% rename from samples/cpp/stereo_calib.xml rename to samples/data/stereo_calib.xml index 68875facf2..0772302c99 100644 --- a/samples/cpp/stereo_calib.xml +++ b/samples/data/stereo_calib.xml @@ -29,4 +29,3 @@ "right14.jpg" - diff --git a/samples/cpp/stuff.jpg b/samples/data/stuff.jpg similarity index 100% rename from samples/cpp/stuff.jpg rename to samples/data/stuff.jpg diff --git a/samples/cpp/templ.png b/samples/data/templ.png similarity index 100% rename from samples/cpp/templ.png rename to samples/data/templ.png diff --git a/samples/python2/data/text_defocus.jpg b/samples/data/text_defocus.jpg similarity index 100% rename from samples/python2/data/text_defocus.jpg rename to samples/data/text_defocus.jpg diff --git a/samples/python2/data/text_motion.jpg b/samples/data/text_motion.jpg similarity index 100% rename from samples/python2/data/text_motion.jpg rename to samples/data/text_motion.jpg diff --git a/samples/cpp/tree.avi b/samples/data/tree.avi similarity index 100% rename from samples/cpp/tree.avi rename to samples/data/tree.avi diff --git a/samples/gpu/bgfg_segm.cpp b/samples/gpu/bgfg_segm.cpp index 7e9865d825..89bb8d6a2f 100644 --- a/samples/gpu/bgfg_segm.cpp +++ b/samples/gpu/bgfg_segm.cpp @@ -23,7 +23,7 @@ int main(int argc, const char** argv) { cv::CommandLineParser cmd(argc, argv, "{ c camera | | use camera }" - "{ f file | 768x576.avi | input video file }" + "{ f file | ../data/768x576.avi | input video file }" "{ m method | mog | method (mog, mog2, gmg, fgd) }" "{ h help | | print help message }"); diff --git a/samples/gpu/generalized_hough.cpp b/samples/gpu/generalized_hough.cpp index a9081c56b7..fb1cb8979c 100644 --- a/samples/gpu/generalized_hough.cpp +++ b/samples/gpu/generalized_hough.cpp @@ -27,7 +27,7 @@ static Mat loadImage(const string& name) int main(int argc, const char* argv[]) { CommandLineParser cmd(argc, argv, - "{ image i | pic1.png | input image }" + "{ image i | ../data/pic1.png | input image }" "{ template t | templ.png | template image }" "{ full | | estimate scale and rotation }" "{ gpu | | use gpu version }" diff --git a/samples/gpu/houghlines.cpp b/samples/gpu/houghlines.cpp index 29dc69ce2f..040ef289a3 100644 --- a/samples/gpu/houghlines.cpp +++ b/samples/gpu/houghlines.cpp @@ -15,12 +15,12 @@ static void help() { cout << "This program demonstrates line finding with the Hough transform." << endl; cout << "Usage:" << endl; - cout << "./gpu-example-houghlines , Default is pic1.png\n" << endl; + cout << "./gpu-example-houghlines , Default is ../data/pic1.png\n" << endl; } int main(int argc, const char* argv[]) { - const string filename = argc >= 2 ? argv[1] : "pic1.png"; + const string filename = argc >= 2 ? argv[1] : "../data/pic1.png"; Mat src = imread(filename, IMREAD_GRAYSCALE); if (src.empty()) diff --git a/samples/gpu/morphology.cpp b/samples/gpu/morphology.cpp index 8e2961af99..b5e50caa3c 100644 --- a/samples/gpu/morphology.cpp +++ b/samples/gpu/morphology.cpp @@ -44,7 +44,7 @@ App::App(int argc, const char* argv[]) exit(0); } - String filename = argc == 2 ? argv[1] : "baboon.jpg"; + String filename = argc == 2 ? argv[1] : "../data/baboon.jpg"; Mat img = imread(filename); if (img.empty()) diff --git a/samples/gpu/performance/tests.cpp b/samples/gpu/performance/tests.cpp index 9f2c2d13b8..d1e4c070e0 100644 --- a/samples/gpu/performance/tests.cpp +++ b/samples/gpu/performance/tests.cpp @@ -281,8 +281,8 @@ TEST(meanShift) TEST(SURF) { - Mat src = imread(abspath("aloeL.jpg"), IMREAD_GRAYSCALE); - if (src.empty()) throw runtime_error("can't open aloeL.jpg"); + Mat src = imread(abspath("../data/aloeL.jpg"), IMREAD_GRAYSCALE); + if (src.empty()) throw runtime_error("can't open ../data/aloeL.jpg"); xfeatures2d::SURF surf; vector keypoints; @@ -311,8 +311,8 @@ TEST(SURF) TEST(FAST) { - Mat src = imread(abspath("aloeL.jpg"), IMREAD_GRAYSCALE); - if (src.empty()) throw runtime_error("can't open aloeL.jpg"); + Mat src = imread(abspath("../data/aloeL.jpg"), IMREAD_GRAYSCALE); + if (src.empty()) throw runtime_error("can't open ../data/aloeL.jpg"); vector keypoints; @@ -336,8 +336,8 @@ TEST(FAST) TEST(ORB) { - Mat src = imread(abspath("aloeL.jpg"), IMREAD_GRAYSCALE); - if (src.empty()) throw runtime_error("can't open aloeL.jpg"); + Mat src = imread(abspath("../data/aloeL.jpg"), IMREAD_GRAYSCALE); + if (src.empty()) throw runtime_error("can't open ../data/aloeL.jpg"); ORB orb(4000); vector keypoints; @@ -1065,9 +1065,9 @@ TEST(equalizeHist) TEST(Canny) { - Mat img = imread(abspath("aloeL.jpg"), IMREAD_GRAYSCALE); + Mat img = imread(abspath("../data/aloeL.jpg"), IMREAD_GRAYSCALE); - if (img.empty()) throw runtime_error("can't open aloeL.jpg"); + if (img.empty()) throw runtime_error("can't open ../data/aloeL.jpg"); Mat edges(img.size(), CV_8UC1); @@ -1166,8 +1166,8 @@ TEST(gemm) TEST(GoodFeaturesToTrack) { - Mat src = imread(abspath("aloeL.jpg"), IMREAD_GRAYSCALE); - if (src.empty()) throw runtime_error("can't open aloeL.jpg"); + Mat src = imread(abspath("../data/aloeL.jpg"), IMREAD_GRAYSCALE); + if (src.empty()) throw runtime_error("can't open ../data/aloeL.jpg"); vector pts; @@ -1191,11 +1191,11 @@ TEST(GoodFeaturesToTrack) TEST(PyrLKOpticalFlow) { - Mat frame0 = imread(abspath("rubberwhale1.png")); - if (frame0.empty()) throw runtime_error("can't open rubberwhale1.png"); + Mat frame0 = imread(abspath("../data/rubberwhale1.png")); + if (frame0.empty()) throw runtime_error("can't open ../data/rubberwhale1.png"); - Mat frame1 = imread(abspath("rubberwhale2.png")); - if (frame1.empty()) throw runtime_error("can't open rubberwhale2.png"); + Mat frame1 = imread(abspath("../data/rubberwhale2.png")); + if (frame1.empty()) throw runtime_error("can't open ../data/rubberwhale2.png"); Mat gray_frame; cvtColor(frame0, gray_frame, COLOR_BGR2GRAY); @@ -1242,7 +1242,7 @@ TEST(PyrLKOpticalFlow) TEST(FarnebackOpticalFlow) { - const string datasets[] = {"rubberwhale", "basketball"}; + const string datasets[] = {"../data/rubberwhale", "../data/basketball"}; for (size_t i = 0; i < sizeof(datasets)/sizeof(*datasets); ++i) { for (int fastPyramids = 0; fastPyramids < 2; ++fastPyramids) { for (int useGaussianBlur = 0; useGaussianBlur < 2; ++useGaussianBlur) { @@ -1274,10 +1274,10 @@ TEST(FarnebackOpticalFlow) TEST(MOG) { - const std::string inputFile = abspath("768x576.avi"); + const std::string inputFile = abspath("../data/768x576.avi"); cv::VideoCapture cap(inputFile); - if (!cap.isOpened()) throw runtime_error("can't open 768x576.avi"); + if (!cap.isOpened()) throw runtime_error("can't open ../data/768x576.avi"); cv::Mat frame; cap >> frame; @@ -1327,10 +1327,10 @@ TEST(MOG) TEST(MOG2) { - const std::string inputFile = abspath("768x576.avi"); + const std::string inputFile = abspath("../data/768x576.avi"); cv::VideoCapture cap(inputFile); - if (!cap.isOpened()) throw runtime_error("can't open 768x576.avi"); + if (!cap.isOpened()) throw runtime_error("can't open ../data/768x576.avi"); cv::Mat frame; cap >> frame; diff --git a/samples/gpu/road.png b/samples/gpu/road.png deleted file mode 100644 index a52c87cffbc7e352ccbf5272e39d2cb02ba314e6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 691285 zcmZsD2~<*R*!9t@yf-Up(q<(aC^HSsOjB=Bsbv<4CWV$2r8rOI>@6!y%QSC_V-uPf zS`kh-RF-9-Rwm?tRu1F@4jDQB&#`;I|6Bk1&sq^O960B^?|$~P_kM{wba3C?KbQT9 zAjn)x3jz^AX24xVb7e*Nk0-dLfFK%(CE+jI^9oAO_djAakkn$Eq|`EsyqMi{x=czoBuw2#py3yulWb`cSb6&Q*k-5ZpQ`X%LLt1Uo7kXUZeWi z!a~u^YU3UI?2Z4B{vnMN`wy88wglIVl$FZK;ZtFQtINkd_b5d$&`mjlq4CEvflm$6 zT*}*~6BMtdKv1$oFmb-K%oiY*@d);A&kjTjz9bTHTIB!xSuKV3Pv}9Qn?U9F|Hui| zfA5&L%C!`3Xjv{ms#5V)CukglZFJACT5C>Fs};UQapDH0nF5#l$p7R9%1ZzL0~tey%Z 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z6*hvwL8!57y&AaG5HUex)aXOm%qK#^2OmHB{~&e9O?Z+=sQ>@~07*qoM6N<$g7u-o AJpcdz diff --git a/samples/python2/asift.py b/samples/python2/asift.py index 25320865c4..b24977bc07 100755 --- a/samples/python2/asift.py +++ b/samples/python2/asift.py @@ -113,8 +113,8 @@ if __name__ == '__main__': try: fn1, fn2 = args except: - fn1 = 'data/aero1.jpg' - fn2 = 'data/aero3.jpg' + fn1 = '../data/aero1.jpg' + fn2 = '../data/aero3.jpg' img1 = cv2.imread(fn1, 0) img2 = cv2.imread(fn2, 0) diff --git a/samples/python2/coherence.py b/samples/python2/coherence.py index 92122e876d..46d7414af5 100755 --- a/samples/python2/coherence.py +++ b/samples/python2/coherence.py @@ -43,7 +43,7 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = '../cpp/baboon.jpg' + fn = '../data/baboon.jpg' src = cv2.imread(fn) diff --git a/samples/python2/color_histogram.py b/samples/python2/color_histogram.py index 160baf66f4..7e964d5c57 100755 --- a/samples/python2/color_histogram.py +++ b/samples/python2/color_histogram.py @@ -31,7 +31,7 @@ if __name__ == '__main__': fn = sys.argv[1] except: fn = 0 - cam = video.create_capture(fn, fallback='synth:bg=../cpp/baboon.jpg:class=chess:noise=0.05') + cam = video.create_capture(fn, fallback='synth:bg=../data/baboon.jpg:class=chess:noise=0.05') while True: flag, frame = cam.read() diff --git a/samples/python2/deconvolution.py b/samples/python2/deconvolution.py index abc8dc181f..218efe883b 100755 --- a/samples/python2/deconvolution.py +++ b/samples/python2/deconvolution.py @@ -19,11 +19,11 @@ Usage: ESC - exit Examples: - deconvolution.py --angle 135 --d 22 data/licenseplate_motion.jpg + deconvolution.py --angle 135 --d 22 ../data/licenseplate_motion.jpg (image source: http://www.topazlabs.com/infocus/_images/licenseplate_compare.jpg) - deconvolution.py --angle 86 --d 31 data/text_motion.jpg - deconvolution.py --circle --d 19 data/text_defocus.jpg + deconvolution.py --angle 86 --d 31 ../data/text_motion.jpg + deconvolution.py --circle --d 19 ../data/text_defocus.jpg (image source: compact digital photo camera, no artificial distortion) @@ -70,7 +70,7 @@ if __name__ == '__main__': try: fn = args[0] except: - fn = 'data/licenseplate_motion.jpg' + fn = '../data/licenseplate_motion.jpg' win = 'deconvolution' diff --git a/samples/python2/dft.py b/samples/python2/dft.py index 792ebe1234..a1622b53e2 100755 --- a/samples/python2/dft.py +++ b/samples/python2/dft.py @@ -56,7 +56,7 @@ if __name__ == "__main__": if len(sys.argv)>1: im = cv2.imread(sys.argv[1]) else : - im = cv2.imread('../c/baboon.jpg') + im = cv2.imread('../data/baboon.jpg') print "usage : python dft.py " # convert to grayscale diff --git a/samples/python2/digits.py b/samples/python2/digits.py index 98fd8890f5..63dbb1e9d8 100755 --- a/samples/python2/digits.py +++ b/samples/python2/digits.py @@ -3,7 +3,7 @@ ''' SVM and KNearest digit recognition. -Sample loads a dataset of handwritten digits from 'digits.png'. +Sample loads a dataset of handwritten digits from '../data/digits.png'. Then it trains a SVM and KNearest classifiers on it and evaluates their accuracy. @@ -38,7 +38,7 @@ from common import clock, mosaic SZ = 20 # size of each digit is SZ x SZ CLASS_N = 10 -DIGITS_FN = 'data/digits.png' +DIGITS_FN = '../data/digits.png' def split2d(img, cell_size, flatten=True): h, w = img.shape[:2] diff --git a/samples/python2/distrans.py b/samples/python2/distrans.py index dc2a137c51..819a06c9b4 100755 --- a/samples/python2/distrans.py +++ b/samples/python2/distrans.py @@ -22,7 +22,7 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = '../cpp/fruits.jpg' + fn = '../data/fruits.jpg' print __doc__ img = cv2.imread(fn, 0) diff --git a/samples/python2/facedetect.py b/samples/python2/facedetect.py index ab82f9a9f5..72b8561c3f 100755 --- a/samples/python2/facedetect.py +++ b/samples/python2/facedetect.py @@ -38,7 +38,7 @@ if __name__ == '__main__': cascade = cv2.CascadeClassifier(cascade_fn) nested = cv2.CascadeClassifier(nested_fn) - cam = create_capture(video_src, fallback='synth:bg=../cpp/lena.jpg:noise=0.05') + cam = create_capture(video_src, fallback='synth:bg=../data/lena.jpg:noise=0.05') while True: ret, img = cam.read() diff --git a/samples/python2/find_obj.py b/samples/python2/find_obj.py index 718a14fa57..fb1e0730d9 100755 --- a/samples/python2/find_obj.py +++ b/samples/python2/find_obj.py @@ -139,8 +139,8 @@ if __name__ == '__main__': try: fn1, fn2 = args except: - fn1 = '../cpp/box.png' - fn2 = '../cpp/box_in_scene.png' + fn1 = '../data/box.png' + fn2 = '../data/box_in_scene.png' img1 = cv2.imread(fn1, 0) img2 = cv2.imread(fn2, 0) diff --git a/samples/python2/floodfill.py b/samples/python2/floodfill.py index ef19141f8f..5152f30c18 100755 --- a/samples/python2/floodfill.py +++ b/samples/python2/floodfill.py @@ -22,7 +22,7 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = '../cpp/fruits.jpg' + fn = '../data/fruits.jpg' print __doc__ img = cv2.imread(fn, True) diff --git a/samples/python2/gabor_threads.py b/samples/python2/gabor_threads.py index 6d10ffdb4b..b004fb7582 100755 --- a/samples/python2/gabor_threads.py +++ b/samples/python2/gabor_threads.py @@ -52,7 +52,7 @@ if __name__ == '__main__': try: img_fn = sys.argv[1] except: - img_fn = '../cpp/baboon.jpg' + img_fn = '../data/baboon.jpg' img = cv2.imread(img_fn) if img is None: diff --git a/samples/python2/grabcut.py b/samples/python2/grabcut.py index 42d9743bea..014dcc90e7 100644 --- a/samples/python2/grabcut.py +++ b/samples/python2/grabcut.py @@ -102,9 +102,9 @@ print __doc__ if len(sys.argv) == 2: filename = sys.argv[1] # for drawing purposes else: - print "No input image given, so loading default image, lena.jpg \n" + print "No input image given, so loading default image, ../data/lena.jpg \n" print "Correct Usage: python grabcut.py \n" - filename = '../cpp/lena.jpg' + filename = '../data/lena.jpg' img = cv2.imread(filename) img2 = img.copy() # a copy of original image diff --git a/samples/python2/hist.py b/samples/python2/hist.py index 41eec1d3a3..41f79984a1 100755 --- a/samples/python2/hist.py +++ b/samples/python2/hist.py @@ -57,7 +57,7 @@ if __name__ == '__main__': if len(sys.argv)>1: fname = sys.argv[1] else : - fname = '../cpp/lena.jpg' + fname = '../data/lena.jpg' print "usage : python hist.py " im = cv2.imread(fname) diff --git a/samples/python2/houghcircles.py b/samples/python2/houghcircles.py index 38ed6f3032..edf0b785a6 100755 --- a/samples/python2/houghcircles.py +++ b/samples/python2/houghcircles.py @@ -3,7 +3,7 @@ ''' This example illustrates how to use cv2.HoughCircles() function. Usage: ./houghcircles.py [] -image argument defaults to ../cpp/board.jpg +image argument defaults to ../data/board.jpg ''' import cv2 @@ -15,7 +15,7 @@ print __doc__ try: fn = sys.argv[1] except: - fn = "../cpp/board.jpg" + fn = "../data/board.jpg" src = cv2.imread(fn, 1) img = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) diff --git a/samples/python2/houghlines.py b/samples/python2/houghlines.py index cf67945b19..5836bee547 100755 --- a/samples/python2/houghlines.py +++ b/samples/python2/houghlines.py @@ -2,7 +2,7 @@ ''' This example illustrates how to use Hough Transform to find lines Usage: ./houghlines.py [] -image argument defaults to ../cpp/pic1.png +image argument defaults to ../data/pic1.png ''' import cv2 import numpy as np @@ -12,7 +12,7 @@ import math try: fn = sys.argv[1] except: - fn = "../cpp/pic1.png" + fn = "../data/pic1.png" print __doc__ src = cv2.imread(fn) dst = cv2.Canny(src, 50, 200) diff --git a/samples/python2/inpaint.py b/samples/python2/inpaint.py index 5044afb899..4ff1ddb6e5 100755 --- a/samples/python2/inpaint.py +++ b/samples/python2/inpaint.py @@ -24,7 +24,7 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = '../cpp/fruits.jpg' + fn = '../data/fruits.jpg' print __doc__ diff --git a/samples/python2/letter_recog.py b/samples/python2/letter_recog.py index ef8c7229c9..cf7aecebcd 100755 --- a/samples/python2/letter_recog.py +++ b/samples/python2/letter_recog.py @@ -153,7 +153,7 @@ if __name__ == '__main__': args, dummy = getopt.getopt(sys.argv[1:], '', ['model=', 'data=', 'load=', 'save=']) args = dict(args) args.setdefault('--model', 'rtrees') - args.setdefault('--data', '../cpp/letter-recognition.data') + args.setdefault('--data', '../data/letter-recognition.data') print 'loading data %s ...' % args['--data'] samples, responses = load_base(args['--data']) diff --git a/samples/python2/logpolar.py b/samples/python2/logpolar.py index 66082484d3..783c7b81a0 100644 --- a/samples/python2/logpolar.py +++ b/samples/python2/logpolar.py @@ -6,7 +6,7 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = '../cpp/fruits.jpg' + fn = '../data/fruits.jpg' img = cv2.imread(fn) if img is None: diff --git a/samples/python2/morphology.py b/samples/python2/morphology.py index d9bdb7f1c2..76fa76c690 100755 --- a/samples/python2/morphology.py +++ b/samples/python2/morphology.py @@ -26,7 +26,7 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = '../cpp/baboon.jpg' + fn = '../data/baboon.jpg' img = cv2.imread(fn) diff --git a/samples/python2/stereo_match.py b/samples/python2/stereo_match.py index 0803a3d12b..5b21617cca 100755 --- a/samples/python2/stereo_match.py +++ b/samples/python2/stereo_match.py @@ -32,8 +32,8 @@ def write_ply(fn, verts, colors): if __name__ == '__main__': print 'loading images...' - imgL = cv2.pyrDown( cv2.imread('../gpu/aloeL.jpg') ) # downscale images for faster processing - imgR = cv2.pyrDown( cv2.imread('../gpu/aloeR.jpg') ) + imgL = cv2.pyrDown( cv2.imread('../data/aloeL.jpg') ) # downscale images for faster processing + imgR = cv2.pyrDown( cv2.imread('../data/aloeR.jpg') ) # disparity range is tuned for 'aloe' image pair window_size = 3 diff --git a/samples/python2/texture_flow.py b/samples/python2/texture_flow.py index 0e1849ce3f..e47c4b8e5a 100755 --- a/samples/python2/texture_flow.py +++ b/samples/python2/texture_flow.py @@ -18,7 +18,7 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = 'data/starry_night.jpg' + fn = '../data/starry_night.jpg' img = cv2.imread(fn) if img is None: diff --git a/samples/python2/video.py b/samples/python2/video.py index 187bb6d512..227b13f371 100755 --- a/samples/python2/video.py +++ b/samples/python2/video.py @@ -20,8 +20,8 @@ Usage: - synth: for procedural video Synth examples: - synth:bg=../cpp/lena.jpg:noise=0.1 - synth:class=chess:bg=../cpp/lena.jpg:noise=0.1:size=640x480 + synth:bg=../data/lena.jpg:noise=0.1 + synth:class=chess:bg=../data/lena.jpg:noise=0.1:size=640x480 Keys: ESC - exit @@ -130,8 +130,8 @@ classes = dict(chess=Chess) presets = dict( empty = 'synth:', - lena = 'synth:bg=../cpp/lena.jpg:noise=0.1', - chess = 'synth:class=chess:bg=../cpp/lena.jpg:noise=0.1:size=640x480' + lena = 'synth:bg=../data/lena.jpg:noise=0.1', + chess = 'synth:class=chess:bg=../data/lena.jpg:noise=0.1:size=640x480' ) diff --git a/samples/python2/watershed.py b/samples/python2/watershed.py index c6247da22c..75a24a6538 100755 --- a/samples/python2/watershed.py +++ b/samples/python2/watershed.py @@ -79,6 +79,6 @@ if __name__ == '__main__': try: fn = sys.argv[1] except: - fn = '../cpp/fruits.jpg' + fn = '../data/fruits.jpg' print __doc__ App(fn).run() diff --git a/samples/tapi/bgfg_segm.cpp b/samples/tapi/bgfg_segm.cpp index 17a511cddc..40587713b7 100644 --- a/samples/tapi/bgfg_segm.cpp +++ b/samples/tapi/bgfg_segm.cpp @@ -18,7 +18,7 @@ int main(int argc, const char** argv) { CommandLineParser cmd(argc, argv, "{ c camera | false | use camera }" - "{ f file | 768x576.avi | input video file }" + "{ f file | ../data/768x576.avi | input video file }" "{ t type | mog2 | method's type (knn, mog2) }" "{ h help | false | print help message }" "{ m cpu_mode | false | press 'm' to switch OpenCL<->CPU}"); diff --git a/samples/tapi/hog.cpp b/samples/tapi/hog.cpp index 389e1e5bef..574c5c2ef3 100644 --- a/samples/tapi/hog.cpp +++ b/samples/tapi/hog.cpp @@ -71,7 +71,7 @@ int main(int argc, char** argv) "{ h help | false | print help message }" "{ i input | | specify input image}" "{ c camera | -1 | enable camera capturing }" - "{ v video | 768x576.avi | use video as input }" + "{ v video | ../data/768x576.avi | use video as input }" "{ g gray | false | convert image to gray one or not}" "{ s scale | 1.0 | resize the image before detect}" "{ o output | | specify output path when input is images}"; diff --git a/samples/tapi/squares.cpp b/samples/tapi/squares.cpp index 87a3894b93..e18e533d66 100644 --- a/samples/tapi/squares.cpp +++ b/samples/tapi/squares.cpp @@ -141,7 +141,7 @@ static UMat drawSquaresBoth( const UMat& image, int main(int argc, char** argv) { const char* keys = - "{ i input | pic1.png | specify input image }" + "{ i input | ../data/pic1.png | specify input image }" "{ o output | squares_output.jpg | specify output save path}" "{ h help | false | print help message }" "{ m cpu_mode | false | run without OpenCL }"; From ec03d6e6fc638dc627b21d52a5ee51ed031acca5 Mon Sep 17 00:00:00 2001 From: Dmitriy Anisimov Date: Sun, 14 Sep 2014 20:16:45 +0400 Subject: [PATCH 2/4] removed cpp/tutorial_code/images/ --- .../HighGUI/AddingImagesTrackbar.cpp | 4 ++-- .../cpp/tutorial_code/ImgProc/AddingImages.cpp | 4 ++-- samples/cpp/tutorial_code/ImgProc/Pyramids.cpp | 2 +- .../cpp/tutorial_code/ImgProc/Smoothing.cpp | 2 +- samples/cpp/tutorial_code/images/HappyFish.jpg | Bin 8283 -> 0 bytes samples/cpp/tutorial_code/images/Megamind.png | Bin 236023 -> 0 bytes .../cpp/tutorial_code/images/Megamind_alt.png | Bin 289248 -> 0 bytes samples/cpp/tutorial_code/images/baboon.jpg | Bin 179920 -> 0 bytes samples/cpp/tutorial_code/images/cat.jpg | Bin 65555 -> 0 bytes .../cpp/tutorial_code/images/hand_sample1.jpg | Bin 53566 -> 0 bytes .../cpp/tutorial_code/images/hand_sample2.jpg | Bin 16443 -> 0 bytes .../cpp/tutorial_code/images/hand_sample3.jpg | Bin 11072 -> 0 bytes .../cpp/tutorial_code/images/imageTextN.png | Bin 37913 -> 0 bytes .../cpp/tutorial_code/images/imageTextR.png | Bin 60920 -> 0 bytes samples/cpp/tutorial_code/images/lena.png | Bin 473831 -> 0 bytes .../cpp/tutorial_code/images/opencv-logo.png | Bin 14287 -> 0 bytes .../cpp/tutorial_code/images/yellowball.jpg | Bin 30791 -> 0 bytes .../images => data}/LinuxLogo.jpg | Bin .../images => data}/WindowsLogo.jpg | Bin .../images => data}/chicky_512.png | Bin 20 files changed, 6 insertions(+), 6 deletions(-) delete mode 100755 samples/cpp/tutorial_code/images/HappyFish.jpg delete mode 100644 samples/cpp/tutorial_code/images/Megamind.png delete mode 100644 samples/cpp/tutorial_code/images/Megamind_alt.png delete mode 100644 samples/cpp/tutorial_code/images/baboon.jpg delete mode 100755 samples/cpp/tutorial_code/images/cat.jpg delete mode 100644 samples/cpp/tutorial_code/images/hand_sample1.jpg delete mode 100644 samples/cpp/tutorial_code/images/hand_sample2.jpg delete mode 100644 samples/cpp/tutorial_code/images/hand_sample3.jpg delete mode 100644 samples/cpp/tutorial_code/images/imageTextN.png delete mode 100644 samples/cpp/tutorial_code/images/imageTextR.png delete mode 100644 samples/cpp/tutorial_code/images/lena.png delete mode 100644 samples/cpp/tutorial_code/images/opencv-logo.png delete mode 100644 samples/cpp/tutorial_code/images/yellowball.jpg rename samples/{cpp/tutorial_code/images => data}/LinuxLogo.jpg (100%) rename samples/{cpp/tutorial_code/images => data}/WindowsLogo.jpg (100%) rename samples/{cpp/tutorial_code/images => data}/chicky_512.png (100%) diff --git a/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp b/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp index 11843fb08d..9e04dd912e 100644 --- a/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp +++ b/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp @@ -44,8 +44,8 @@ static void on_trackbar( int, void* ) int main( void ) { /// Read image ( same size, same type ) - src1 = imread("../images/LinuxLogo.jpg"); - src2 = imread("../images/WindowsLogo.jpg"); + src1 = imread("../data/LinuxLogo.jpg"); + src2 = imread("../data/WindowsLogo.jpg"); if( src1.empty() ) { printf("Error loading src1 \n"); return -1; } if( src2.empty() ) { printf("Error loading src2 \n"); return -1; } diff --git a/samples/cpp/tutorial_code/ImgProc/AddingImages.cpp b/samples/cpp/tutorial_code/ImgProc/AddingImages.cpp index b7a27d2cab..32ce10f4b2 100644 --- a/samples/cpp/tutorial_code/ImgProc/AddingImages.cpp +++ b/samples/cpp/tutorial_code/ImgProc/AddingImages.cpp @@ -32,8 +32,8 @@ int main( void ) { alpha = input; } /// Read image ( same size, same type ) - src1 = imread("../images/LinuxLogo.jpg"); - src2 = imread("../images/WindowsLogo.jpg"); + src1 = imread("../data/LinuxLogo.jpg"); + src2 = imread("../data/WindowsLogo.jpg"); if( src1.empty() ) { std::cout<< "Error loading src1"< Close program \n \n" ); /// Test image - Make sure it s divisible by 2^{n} - src = imread( "../images/chicky_512.png" ); + src = imread( "../data/chicky_512.png" ); if( src.empty() ) { printf(" No data! -- Exiting the program \n"); return -1; } diff --git a/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp b/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp index 238f921e92..e7ac4d40f5 100644 --- a/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp +++ b/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp @@ -35,7 +35,7 @@ int main( void ) namedWindow( window_name, WINDOW_AUTOSIZE ); /// Load the source image - src = imread( "../images/lena.png", 1 ); + src = imread( "../data/lena.jpg", 1 ); if( 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zCI}_#J2ur*z<@p9n_tK=v!?TkOh(ACLO||P#w#vuYl2h84UPLG6`<^x4M@I#EgSV699j611MS}>(lfP#IWhCQiLcZKW5MT`Hg{x6YO9Y6p8 diff --git a/samples/cpp/tutorial_code/images/LinuxLogo.jpg b/samples/data/LinuxLogo.jpg similarity index 100% rename from samples/cpp/tutorial_code/images/LinuxLogo.jpg rename to samples/data/LinuxLogo.jpg diff --git a/samples/cpp/tutorial_code/images/WindowsLogo.jpg b/samples/data/WindowsLogo.jpg similarity index 100% rename from samples/cpp/tutorial_code/images/WindowsLogo.jpg rename to samples/data/WindowsLogo.jpg diff --git a/samples/cpp/tutorial_code/images/chicky_512.png b/samples/data/chicky_512.png similarity index 100% rename from samples/cpp/tutorial_code/images/chicky_512.png rename to samples/data/chicky_512.png From 55c799a474e50f2c7fab4a2114d731ececaa00fc Mon Sep 17 00:00:00 2001 From: Dmitriy Anisimov Date: Sun, 14 Sep 2014 22:19:51 +0400 Subject: [PATCH 3/4] fixed warnings in documents --- .../discrete_fourier_transform.rst | 2 +- .../windows_visual_studio_Opencv.rst | 2 +- samples/data/imageTextN.png | Bin 0 -> 37913 bytes samples/data/imageTextR.png | Bin 0 -> 60920 bytes samples/data/opencv-logo.png | Bin 0 -> 14287 bytes 5 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 samples/data/imageTextN.png create mode 100644 samples/data/imageTextR.png create mode 100644 samples/data/opencv-logo.png diff --git a/doc/tutorials/core/discrete_fourier_transform/discrete_fourier_transform.rst b/doc/tutorials/core/discrete_fourier_transform/discrete_fourier_transform.rst index ca3d75dca3..3cf41c9cdc 100644 --- a/doc/tutorials/core/discrete_fourier_transform/discrete_fourier_transform.rst +++ b/doc/tutorials/core/discrete_fourier_transform/discrete_fourier_transform.rst @@ -126,7 +126,7 @@ In this sample I'll show how to calculate and show the *magnitude* image of a Fo Result ====== -An application idea would be to determine the geometrical orientation present in the image. For example, let us find out if a text is horizontal or not? Looking at some text you'll notice that the text lines sort of form also horizontal lines and the letters form sort of vertical lines. These two main components of a text snippet may be also seen in case of the Fourier transform. Let us use :download:`this horizontal <../../../../samples/cpp/tutorial_code/images/imageTextN.png>` and :download:`this rotated<../../../../samples/cpp/tutorial_code/images/imageTextR.png>` image about a text. +An application idea would be to determine the geometrical orientation present in the image. For example, let us find out if a text is horizontal or not? Looking at some text you'll notice that the text lines sort of form also horizontal lines and the letters form sort of vertical lines. These two main components of a text snippet may be also seen in case of the Fourier transform. Let us use :download:`this horizontal <../../../../samples/data/imageTextN.png>` and :download:`this rotated<../../../../samples/data/imageTextR.png>` image about a text. In case of the horizontal text: diff --git a/doc/tutorials/introduction/windows_visual_studio_Opencv/windows_visual_studio_Opencv.rst b/doc/tutorials/introduction/windows_visual_studio_Opencv/windows_visual_studio_Opencv.rst index 6788d17e4e..26ce913fba 100644 --- a/doc/tutorials/introduction/windows_visual_studio_Opencv/windows_visual_studio_Opencv.rst +++ b/doc/tutorials/introduction/windows_visual_studio_Opencv/windows_visual_studio_Opencv.rst @@ -160,7 +160,7 @@ You can start a Visual Studio build from two places. Either inside from the *IDE .. |voila| unicode:: voil U+00E1 -This is important to remember when you code inside the code open and save commands. You're resources will be saved ( and queried for at opening!!!) relatively to your working directory. This is unless you give a full, explicit path as parameter for the I/O functions. In the code above we open :download:`this OpenCV logo<../../../../samples/cpp/tutorial_code/images/opencv-logo.png>`. Before starting up the application make sure you place the image file in your current working directory. Modify the image file name inside the code to try it out on other images too. Run it and |voila|: +This is important to remember when you code inside the code open and save commands. You're resources will be saved ( and queried for at opening!!!) relatively to your working directory. This is unless you give a full, explicit path as parameter for the I/O functions. In the code above we open :download:`this OpenCV logo<../../../../samples/data/opencv-logo.png>`. Before starting up the application make sure you place the image file in your current working directory. Modify the image file name inside the code to try it out on other images too. 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z@f#{iDLc=uhfW8|-~Ph+v%h3m)H9 zE{cn4{qnMkLW+`E-yWx|7@%p;O-s3>@%^~yXSjxB_1jVN2U64PX9s7MCvrC&skW%= zL)7FZPm2z=RLTQND9WMZc>yAuz)8`&C1!Le`UGu&KFVipd$*Hak({s9=FH8HT>Nu3 zk~11({)RGuatyfi0ip4vjt^Pz3Z5nt&uA3Przw0%2Ya9{Dv|Z2(RKCA*LSrtDxxUQ c?=U(y3GzW}p;r$04?QxyyT*5rT26@n2ibWU6aWAK literal 0 HcmV?d00001 From 71348651eb8845ef18fa3346866015250a46aa44 Mon Sep 17 00:00:00 2001 From: Dmitriy Anisimov Date: Mon, 22 Sep 2014 21:46:18 +0400 Subject: [PATCH 4/4] fixed display_image tutorial sample --- .../display_image/display_image.rst | 18 +++++++++--------- .../display_image/display_image.cpp | 10 ++++++---- samples/data/HappyFish.jpg | Bin 0 -> 8283 bytes 3 files changed, 15 insertions(+), 13 deletions(-) create mode 100755 samples/data/HappyFish.jpg diff --git a/doc/tutorials/introduction/display_image/display_image.rst b/doc/tutorials/introduction/display_image/display_image.rst index fc6e6ca5cc..c485fae438 100644 --- a/doc/tutorials/introduction/display_image/display_image.rst +++ b/doc/tutorials/introduction/display_image/display_image.rst @@ -39,28 +39,28 @@ You'll almost always end up using the: .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp :tab-width: 4 - :lines: 1-4 + :lines: 1-6 We also include the *iostream* to facilitate console line output and input. To avoid data structure and function name conflicts with other libraries, OpenCV has its own namespace: *cv*. To avoid the need appending prior each of these the *cv::* keyword you can import the namespace in the whole file by using the lines: .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp :tab-width: 4 - :lines: 6-7 + :lines: 8-9 -This is true for the STL library too (used for console I/O). Now, let's analyze the *main* function. We start up assuring that we acquire a valid image name argument from the command line. +This is true for the STL library too (used for console I/O). Now, let's analyze the *main* function. We start up assuring that we acquire a valid image name argument from the command line. Otherwise take a picture by default: "HappyFish.jpg". .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp :tab-width: 4 - :lines: 11-15 + :lines: 13-17 Then create a *Mat* object that will store the data of the loaded image. .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp :tab-width: 4 - :lines: 17 + :lines: 19 Now we call the :imread:`imread <>` function which loads the image name specified by the first argument (*argv[1]*). The second argument specifies the format in what we want the image. This may be: @@ -73,7 +73,7 @@ Now we call the :imread:`imread <>` function which loads the image name specifie .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp :tab-width: 4 - :lines: 18 + :lines: 20 .. note:: @@ -88,21 +88,21 @@ After checking that the image data was loaded correctly, we want to display our .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp - :lines: 26 + :lines: 28 :tab-width: 4 Finally, to update the content of the OpenCV window with a new image use the :imshow:`imshow <>` function. Specify the OpenCV window name to update and the image to use during this operation: .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp - :lines: 27 + :lines: 29 :tab-width: 4 Because we want our window to be displayed until the user presses a key (otherwise the program would end far too quickly), we use the :wait_key:`waitKey <>` function whose only parameter is just how long should it wait for a user input (measured in milliseconds). Zero means to wait forever. .. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp :language: cpp - :lines: 29 + :lines: 31 :tab-width: 4 Result diff --git a/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp b/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp index c97ff9e864..133ada6edf 100644 --- a/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp +++ b/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp @@ -1,21 +1,23 @@ #include #include #include + #include +#include using namespace cv; using namespace std; int main( int argc, char** argv ) { - if( argc != 2) + string imageName("../data/HappyFish.jpg"); // by default + if( argc > 1) { - cout <<" Usage: display_image ImageToLoadAndDisplay" << endl; - return -1; + imageName = argv[1]; } Mat image; - image = imread(argv[1], IMREAD_COLOR); // Read the file + image = imread(imageName.c_str(), IMREAD_COLOR); // Read the file if( image.empty() ) // Check for invalid input { diff --git a/samples/data/HappyFish.jpg b/samples/data/HappyFish.jpg new file mode 100755 index 0000000000000000000000000000000000000000..c76288edbfb7105a6ad07b6f3f5b8f2095a1becd GIT binary patch literal 8283 zcmZvB1yoeu*Y*q{DcvBTlr#*|B}jwB07D5#mvjr#ATh)YC9MJiLrF7~lynF(gLJoa zO2|9Ee|+D!zV)7S*F9_Beb(OR-n-9p_H)ktulr>HnTCqG3IGTM0DzbZxSs<=0SF#E zprRn7qN1RpqQ+Dzx_??)Dk@scotExj7ZWEl9RnK!EiH>6D?1lAA0Iz0v#_WTk0>WE zA2*PIkdTC!gn^WlfsdVq1EUn;$8-_p;o#Kn1l zi${cwi|GNx!Uo`wQ{X;$EUbV>sb}>B1ojO7M5So$1!EI=5dp8MW#@RNZ(!pc`MIl` zIfeilHCjWI}$O%9L;98eYWcDgKCRH&KPg@*y??X5i! zg=OsF$E7OG`4;@FvCQgp5Vk|<2)dgz(om_) zh<50(7VPj1sZ@pQ*o51ptey#<>435FNJ~ljIJ>5!sIYqw)b~4Zg4^(60rN~idNI74 z%PJ$GIpZb$dQ0ywc4Dtv9VuO!Yw$?SAigm zg=8r2O6;*kkr>i*xtT%tuA)&!lHsQQf&ii#u0X`lH?fZWiHPc{@fw>x76JX3ch7?^ zjY}drp|je}%>#(l3`j$<-d>`IP0||q8cN55pd2a1$@LfmjwxrSeKr=(onJIA=C=6o z-;W!Zp^GqyHN<954Fhbd%S7voeRKBPX52)R~9}eWc(?Ct&a&2=C}c`wz?Q3v?;|*+G?NzRY`nLh{lRLKgO^(4a>Z>PrV!cCv#m1ViczMbWf5fdpf%A_zIKWKGvH;jeY5tn9m_zLt~~To3I8r z44nRQY2jMzLsJvsrI&z86*qBk>x}StGOk5Y0Et}DTsM)IWnfeH;&;{H-hq2SPK0ok z6aIy+&y6Y|07Y^cASjr`?(GD;!y)}+&m=D`u`2gFU~6Owx47d`k)M-&%BFhmri$D> z08#iE3e=|=HG4(%7G9__V?Y1U-3n+M`*bJ_R%M%^B4O~zd?uMV64fol#e*y$6-zxJ$l^$nz!5Mm9;XB0hpJf zq#Pc=lL}u<%vtO{QPTbzZ487TZ}ENDDrcyN4b*Jq8t@mFHXCO6Qb>pO8>0$kG@i;K z%2vWx`nfnungUHM42G#*GH6otx|l120&+drWSL0P;{(OVnjp+-Ph(#bE|&o!B*_BF zH^7V!DBR*KG)dTRzK6%M2ub&>GwvHyv^HQ1yYdw$VUR$riz|x<`ank?n!Q+GtCp$d zOdYuF%aw(xWil^q=&aV4LaHZUq_c@~Yy486Dt?N~LwNJfwJ>C#X4 ziSXuzYTj$t-?WZ?=gztdT8hQ}xi&!WxjiB*E;hgWvn%kN15(kk*IY0}73`I+IAfpO}$`z$yo>2+IY= zp;eI#)E7Pi1wC|?3av2$V(@zT1u@$u`BH8D#UjJd+sTYUuRjMJme&sD%d;O|JX056 z{@XuVPBYP-YChjM61KsAHuOXA&+Aez8B3!K-u0U&2Wms2Q&wtS1`TxBos^s|vK{k0 ztGsCkc5Z~;2zt^>uYkLZt~GRVxnXvK?VsXg`@vfhT7CP^t&(oWF5d-_6s#RAB~9*P zO?H3jg^hoIX%9mRDTpD7@^@|M=?%evbdPtsf#;&4mXHSC0-p{RC^_n|#geoSKOu2X z`+8}IeAKP{p{UW9UcT&Ek zl8p?!S^P7V#TTEX6y)9H_4?a_o$b7#HNR>QGCMXlRR_`C>UH}JGLB+DcCbGlOuz5R z>@MDexyfBOj;S0Cekk8a?&; zikCg;1RNIX0rdO9%#v9B5yJ19>~TM-8tq!rH-$SLy4xX2RduCp}aNCJ4cCHaDR z^W0j7T2<{uM_QuZSS5+B;P9R~QHUzuul{T~5I z@5C919^4&-wZsnN6ZsRS5+yNou3CjUF=nzDq^Q0+Z6$*7IXyY?B^DWv9V0E!*j^|& z{2c`TH56~-;|l82uH>S}5hpHt1h7@v~JUYWrFjKqRuvlOb|S@+>Jx$1#HU<+-_R&te6@42Q@3X zv+p~6mv5obeQ04`jy(w8<@fm^r-n+fa@}cslf8d(vA*e|buAOvCV4ww;DB;_b!=gw zF_peMnK7++(DKvR!S`3IJ#RBb0G*5*h*WR2$mewc`H%R;DuPz&sX5T{00=z^JNxjS zf>hwI@P7CnX$4*^j=!07Z-yvbj3nt3EN#O?ZGaUO5%|o+EV4%goL2qPj_i(Gb{7yAVo^Q1@?eJ1cHjP7zC7R&b6UqpKAZ!-B-L2fq-V%gyCh065cE@ zzf)Jdv8M-It}%pN>D$^Pi+|*o@}DfG*EE7`UR5b7(3)_#y%6rp!0JprNyb0+))9%=U z&IcFz;@2!cYohvuEH3ry=}L$m4jKz|cBx2#!E$YU0YWlo*TVxzUs`AVZ3-QA&PpAO zZF$O{rcg5CEVJmY775_#dPw?4_7sl?^J+CE z%1V0c2!z~opvCK040Qqy0K@QFK3{BhOELJ_r}cIlM%OI(J9-T+tP#(O?1*VU-!Oce zsE_`YR>1Q+4&{^)(=@y%j><55B}9zR8m7RcfCt0zDWd~_HQup>SnzaGv%$b1;iED- zIAY!-&=o1$o8G`+^kK4*+{GaN&j@-ph*LV2nO+5~%oD7t+tV2tK^jXvUSa1uP24Zi zc{l%lwsS~LCXcXb&0HB$8g%2ZV4)y!?f{9%|YAr#=Cge zcRasN{grH!O~=kJAeH`a+ba@E!u%_pm^%i}tJzR_%HQ>5)XoK)Z_egGFG|6bh;+HV%lPlV`Kc7t^w1JIFyt=hNK$sL{Df?)#=ZjWx?kbaN+H z{nP$d4SWySLm6)oz?(xaUtjaw1Ag6ApP0qPu8B^4kmJTTHrhdR}p3_Twx(2ljPD6mMj8N1^ zgtJXCAB5A8dT@MaMLL&Wa>$u5`c<(V8pfEN{aQHGA=@$dtZ%*l9*_vHs3}%(`)pUW zwA=8zCHSTxiBrBFDo1UnRM9{*{iam^T<@Hw4l&(pI#jO9shXCI;3=Ptk{_++l;~ln zsLqHpVDbMvdQ|?J8aPY#*ST%{B2eC+5LHqj@VV(8V0ZpZC!j8WXx_zCwOVVQ*JQSp zVFHmo4w7{lINw?PDs7mqR#(Lp$IwvZd~s-cB5E=fM?hC3S~1^)^@4loD~E~NE}bXd zf=Mo#rd;E5{z$izXw0id)i*hci=2sB0`Dl;0^e`w)pTai9RjvuR)bwEtrv@8eOg7F z`5%W+(0Z9<^~bRnkfiI17TAw~S2-V<>#iY?eex8f-EAmGo9$u=*C^$Zj2r{_uDMv` zDmQ7ATPUvR+@*@FwA_TMrkUrJQbUhl=?KL=Ae!qa`=GUIrlvto>?m}<(pyTrt-bHB zB>EfI1v>_|PxJqQZElT!GP#XM9}Bjk$1kWRwz4*+le^>$>GcHnUT-2=`g@UiJ?^+=A11!F+KT~cf099PLkyw1bR zrT(4+bzQ zAHhJ~e!(w)pov+lnyebX$t+IF3o}g? 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