Merge pull request #3397 from ElenaGvozdeva:ocl_WarpAffine_test

diff --git a/3rdparty/ippicv/downloader.cmake b/3rdparty/ippicv/downloader.cmake
index 3715214..f25e5cc 100644 (file)
--- a/3rdparty/ippicv/downloader.cmake
+++ b/3rdparty/ippicv/downloader.cmake
@@ -8,21 +8,21 @@
 function(_icv_downloader)
   # Define actual ICV versions
   if(APPLE)
-    set(OPENCV_ICV_PACKAGE_NAME "ippicv_macosx_20140429.tgz")
-    set(OPENCV_ICV_PACKAGE_HASH "f2195a60829899983acd4a45794e1717")
+    set(OPENCV_ICV_PACKAGE_NAME "ippicv_macosx_20141027.tgz")
+    set(OPENCV_ICV_PACKAGE_HASH "9662fe0694a67e59491a0dcc82fa26e0")
     set(OPENCV_ICV_PLATFORM "macosx")
     set(OPENCV_ICV_PACKAGE_SUBDIR "/ippicv_osx")
   elseif(UNIX)
     if(ANDROID AND (NOT ANDROID_ABI STREQUAL x86))
       return()
     endif()
-    set(OPENCV_ICV_PACKAGE_NAME "ippicv_linux_20140513.tgz")
-    set(OPENCV_ICV_PACKAGE_HASH "d80cb24f3a565113a9d6dc56344142f6")
+    set(OPENCV_ICV_PACKAGE_NAME "ippicv_linux_20141027.tgz")
+    set(OPENCV_ICV_PACKAGE_HASH "8b449a536a2157bcad08a2b9f266828b")
     set(OPENCV_ICV_PLATFORM "linux")
     set(OPENCV_ICV_PACKAGE_SUBDIR "/ippicv_lnx")
   elseif(WIN32 AND NOT ARM)
-    set(OPENCV_ICV_PACKAGE_NAME "ippicv_windows_20140429.zip")
-    set(OPENCV_ICV_PACKAGE_HASH "b5028a92224ec1fbc554010c52eb3ec8")
+    set(OPENCV_ICV_PACKAGE_NAME "ippicv_windows_20141027.zip")
+    set(OPENCV_ICV_PACKAGE_HASH "b59f865d1ba16e8c84124e19d78eec57")
     set(OPENCV_ICV_PLATFORM "windows")
     set(OPENCV_ICV_PACKAGE_SUBDIR "/ippicv_win")
   else()
@@ -45,7 +45,7 @@ function(_icv_downloader)
     endif()
   endif()
   unset(OPENCV_ICV_PACKAGE_DOWNLOADED CACHE)
-  
+
   set(OPENCV_ICV_PACKAGE_ARCHIVE "${CMAKE_CURRENT_LIST_DIR}/downloads/${OPENCV_ICV_PLATFORM}-${OPENCV_ICV_PACKAGE_HASH}/${OPENCV_ICV_PACKAGE_NAME}")
   get_filename_component(OPENCV_ICV_PACKAGE_ARCHIVE_DIR "${OPENCV_ICV_PACKAGE_ARCHIVE}" PATH)
   if(EXISTS "${OPENCV_ICV_PACKAGE_ARCHIVE}")
@@ -56,7 +56,7 @@ function(_icv_downloader)
       file(REMOVE_RECURSE "${OPENCV_ICV_PACKAGE_ARCHIVE_DIR}")
     endif()
   endif()
-  
+
   if(NOT EXISTS "${OPENCV_ICV_PACKAGE_ARCHIVE}")
     if(NOT DEFINED OPENCV_ICV_URL)
       if(DEFINED ENV{OPENCV_ICV_URL})
@@ -65,7 +65,7 @@ function(_icv_downloader)
         set(OPENCV_ICV_URL "http://sourceforge.net/projects/opencvlibrary/files/3rdparty/ippicv")
       endif()
     endif()
-  
+
     file(MAKE_DIRECTORY ${OPENCV_ICV_PACKAGE_ARCHIVE_DIR})
     message(STATUS "ICV: Downloading ${OPENCV_ICV_PACKAGE_NAME}...")
     file(DOWNLOAD "${OPENCV_ICV_URL}/${OPENCV_ICV_PACKAGE_NAME}" "${OPENCV_ICV_PACKAGE_ARCHIVE}"
@@ -82,12 +82,12 @@ function(_icv_downloader)
       endif()
     endif()
   endif()
-  
+
   ocv_assert(EXISTS "${OPENCV_ICV_PACKAGE_ARCHIVE}")
   ocv_assert(NOT EXISTS "${OPENCV_ICV_UNPACK_PATH}")
   file(MAKE_DIRECTORY ${OPENCV_ICV_UNPACK_PATH})
   ocv_assert(EXISTS "${OPENCV_ICV_UNPACK_PATH}")
-  
+
   message(STATUS "ICV: Unpacking ${OPENCV_ICV_PACKAGE_NAME} to ${OPENCV_ICV_UNPACK_PATH}...")
   execute_process(COMMAND ${CMAKE_COMMAND} -E tar xz "${OPENCV_ICV_PACKAGE_ARCHIVE}"
                   WORKING_DIRECTORY "${OPENCV_ICV_UNPACK_PATH}"
@@ -100,7 +100,7 @@ function(_icv_downloader)
   ocv_assert(EXISTS "${OPENCV_ICV_PATH}")
 
   set(OPENCV_ICV_PACKAGE_DOWNLOADED "${OPENCV_ICV_PACKAGE_HASH}" CACHE INTERNAL "ICV package hash")
-  
+
   message(STATUS "ICV: Package successfully downloaded")
   set(OPENCV_ICV_PATH "${OPENCV_ICV_PATH}" PARENT_SCOPE)
 endfunction()

diff --git a/cmake/templates/OpenCVConfig.cmake.in b/cmake/templates/OpenCVConfig.cmake.in
index 5d97474..b920d63 100644 (file)
--- a/cmake/templates/OpenCVConfig.cmake.in
+++ b/cmake/templates/OpenCVConfig.cmake.in
@@ -49,7 +49,7 @@ if(NOT DEFINED OpenCV_MODULES_SUFFIX)
   endif()
 endif()
 
-if(@USE_IPPICV@) # value is defined by package builder
+if("@USE_IPPICV@" STREQUAL "TRUE") # value is defined by package builder (use STREQUAL to comply new CMake policy CMP0012)
   if(NOT TARGET ippicv)
     if(EXISTS "${CMAKE_CURRENT_LIST_DIR}/@INSTALL_PATH_RELATIVE_IPPICV@")
       add_library(ippicv STATIC IMPORTED)

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 17527a7..8c41e65 100644 (file)
--- 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/display_image/display_image.rst b/doc/tutorials/introduction/display_image/display_image.rst
index e67da6c..d4617cc 100644 (file)
--- 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/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 6788d17..26ce913 100644 (file)
--- 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. Run it and |voila|:
 
 .. image:: images/SuccessVisualStudioWindows.jpg
    :alt: You should have this.

diff --git a/modules/calib3d/test/test_decompose_projection.cpp b/modules/calib3d/test/test_decompose_projection.cpp
new file mode 100644 (file)
index 0000000..ef80942
--- /dev/null
+++ b/modules/calib3d/test/test_decompose_projection.cpp
@@ -0,0 +1,140 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "test_precomp.hpp"
+
+class CV_DecomposeProjectionMatrixTest : public cvtest::BaseTest
+{
+public:
+    CV_DecomposeProjectionMatrixTest();
+protected:
+    void run(int);
+};
+
+CV_DecomposeProjectionMatrixTest::CV_DecomposeProjectionMatrixTest()
+{
+    test_case_count = 30;
+}
+
+
+void CV_DecomposeProjectionMatrixTest::run(int start_from)
+{
+
+    ts->set_failed_test_info(cvtest::TS::OK);
+
+    cv::RNG& rng = ts->get_rng();
+    int progress = 0;
+
+
+    for (int iter = start_from; iter < test_case_count; ++iter)
+    {
+        ts->update_context(this, iter, true);
+        progress = update_progress(progress, iter, test_case_count, 0);
+
+        // Create the original (and random) camera matrix, rotation, and translation
+        cv::Vec2d f, c;
+        rng.fill(f, cv::RNG::UNIFORM, 300, 1000);
+        rng.fill(c, cv::RNG::UNIFORM, 150, 600);
+
+        double alpha = 0.01*rng.gaussian(1);
+
+        cv::Matx33d origK(f(0), alpha*f(0), c(0),
+                          0,          f(1), c(1),
+                          0,             0,   1);
+
+
+        cv::Vec3d rVec;
+        rng.fill(rVec, cv::RNG::UNIFORM, -CV_PI, CV_PI);
+
+        cv::Matx33d origR;
+        Rodrigues(rVec, origR);
+
+        cv::Vec3d origT;
+        rng.fill(origT, cv::RNG::NORMAL, 0, 1);
+
+
+        // Compose the projection matrix
+        cv::Matx34d P(3,4);
+        hconcat(origK*origR, origK*origT, P);
+
+
+        // Decompose
+        cv::Matx33d K, R;
+        cv::Vec4d homogCameraCenter;
+        decomposeProjectionMatrix(P, K, R, homogCameraCenter);
+
+
+        // Recover translation from the camera center
+        cv::Vec3d cameraCenter(homogCameraCenter(0), homogCameraCenter(1), homogCameraCenter(2));
+        cameraCenter /= homogCameraCenter(3);
+
+        cv::Vec3d t = -R*cameraCenter;
+
+
+        const double thresh = 1e-6;
+        if ( norm(origK, K, cv::NORM_INF) > thresh )
+        {
+            ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
+            break;
+        }
+
+        if ( norm(origR, R, cv::NORM_INF) > thresh )
+        {
+            ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
+            break;
+        }
+
+        if ( norm(origT, t, cv::NORM_INF) > thresh )
+        {
+            ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
+            break;
+        }
+
+    }
+
+}
+
+TEST(Calib3d_DecomposeProjectionMatrix, accuracy)
+{
+    CV_DecomposeProjectionMatrixTest test;
+    test.safe_run();
+}

diff --git a/modules/core/src/mathfuncs.cpp b/modules/core/src/mathfuncs.cpp
index 949682f..1c045f3 100644 (file)
--- a/modules/core/src/mathfuncs.cpp
+++ b/modules/core/src/mathfuncs.cpp
@@ -2478,8 +2478,8 @@ static bool ocl_pow(InputArray _src, double power, OutputArray _dst,
     if (depth == CV_64F && !doubleSupport)
         return false;
 
-    bool issqrt = std::abs(power - 0.5) < DBL_EPSILON, nonnegative = power >= 0;
-    const char * const op = issqrt ? "OP_SQRT" : is_ipower ? nonnegative ? "OP_POWN" : "OP_ROOTN" : nonnegative ? "OP_POWR" : "OP_POW";
+    bool issqrt = std::abs(power - 0.5) < DBL_EPSILON;
+    const char * const op = issqrt ? "OP_SQRT" : is_ipower ? "OP_POWN" : "OP_POW";
 
     ocl::Kernel k("KF", ocl::core::arithm_oclsrc,
                   format("-D dstT=%s -D depth=%d -D rowsPerWI=%d -D %s -D UNARY_OP%s",

diff --git a/modules/core/src/ocl.cpp b/modules/core/src/ocl.cpp
index 9f8489e..5e18e03 100644 (file)
--- a/modules/core/src/ocl.cpp
+++ b/modules/core/src/ocl.cpp
@@ -1453,7 +1453,7 @@ bool useOpenCL()
     {
         try
         {
-            data->useOpenCL = (int)haveOpenCL() && Device::getDefault().ptr() != NULL;
+            data->useOpenCL = (int)haveOpenCL() && Device::getDefault().ptr() && Device::getDefault().available();
         }
         catch (...)
         {
@@ -2130,7 +2130,8 @@ const Device& Device::getDefault()
 {
     const Context& ctx = Context::getDefault();
     int idx = coreTlsData.get()->device;
-    return ctx.device(idx);
+    const Device& device = ctx.device(idx);
+    return device;
 }
 
 ////////////////////////////////////// Context ///////////////////////////////////////////////////
@@ -2210,7 +2211,10 @@ static cl_device_id selectOpenCLDevice()
     std::vector<std::string> deviceTypes;
 
     const char* configuration = getenv("OPENCV_OPENCL_DEVICE");
-    if (configuration && !parseOpenCLDeviceConfiguration(std::string(configuration), platform, deviceTypes, deviceName))
+    if (configuration &&
+            (strcmp(configuration, "disabled") == 0 ||
+             !parseOpenCLDeviceConfiguration(std::string(configuration), platform, deviceTypes, deviceName)
+            ))
         return NULL;
 
     bool isID = false;
@@ -2339,14 +2343,16 @@ static cl_device_id selectOpenCLDevice()
     }
 
 not_found:
-    std::cerr << "ERROR: Required OpenCL device not found, check configuration: " << (configuration == NULL ? "" : configuration) << std::endl
+    if (!configuration)
+        return NULL; // suppress messages on stderr
+
+    std::cerr << "ERROR: Requested OpenCL device not found, check configuration: " << (configuration == NULL ? "" : configuration) << std::endl
             << "    Platform: " << (platform.length() == 0 ? "any" : platform) << std::endl
             << "    Device types: ";
     for (size_t t = 0; t < deviceTypes.size(); t++)
         std::cerr << deviceTypes[t] << " ";
 
     std::cerr << std::endl << "    Device name: " << (deviceName.length() == 0 ? "any" : deviceName) << std::endl;
-    CV_Error(CL_INVALID_DEVICE, "Requested OpenCL device is not found");
     return NULL;
 }
 #endif

diff --git a/modules/core/src/opencl/arithm.cl b/modules/core/src/opencl/arithm.cl
index 3450666..0b81d76 100644 (file)
--- a/modules/core/src/opencl/arithm.cl
+++ b/modules/core/src/opencl/arithm.cl
@@ -277,16 +277,6 @@
 #elif defined OP_POW
 #define PROCESS_ELEM storedst(pow(srcelem1, srcelem2))
 
-#elif defined OP_ROOTN
-#define PROCESS_ELEM storedst(rootn(srcelem1, srcelem2))
-
-#elif defined OP_POWR
-#if depth == 5
-#define PROCESS_ELEM storedst(native_powr(srcelem1, srcelem2))
-#else
-#define PROCESS_ELEM storedst(powr(srcelem1, srcelem2))
-#endif
-
 #elif defined OP_POWN
 #undef workT
 #define workT int

diff --git a/modules/core/src/stat.cpp b/modules/core/src/stat.cpp
index 998ae7d..ca56a7c 100644 (file)
--- a/modules/core/src/stat.cpp
+++ b/modules/core/src/stat.cpp
@@ -3212,7 +3212,9 @@ double cv::norm( InputArray _src1, InputArray _src2, int normType, InputArray _m
                     type == CV_16UC1 ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16u_C1R :
                     type == CV_16UC3 ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16u_C3R :
                     type == CV_16UC4 ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16u_C4R :
+#if !(IPP_VERSION_X100 == 802 && (!defined(IPP_VERSION_UPDATE) || IPP_VERSION_UPDATE <= 1)) // Oct 2014: Accuracy issue with IPP 8.2 / 8.2.1
                     type == CV_16SC1 ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16s_C1R :
+#endif
                     type == CV_16SC3 ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16s_C3R :
                     type == CV_16SC4 ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16s_C4R :
                     0) :

diff --git a/modules/cudaarithm/doc/element_operations.rst b/modules/cudaarithm/doc/element_operations.rst
index d3dba67..5ccca78 100644 (file)
--- a/modules/cudaarithm/doc/element_operations.rst
+++ b/modules/cudaarithm/doc/element_operations.rst
@@ -430,7 +430,7 @@ Applies a fixed-level threshold to each array element.
 
     :param maxval: Maximum value to use with  ``THRESH_BINARY`` and  ``THRESH_BINARY_INV`` threshold types.
 
-    :param type: Threshold type. For details, see  :ocv:func:`threshold` . The ``THRESH_OTSU`` threshold type is not supported.
+    :param type: Threshold type. For details, see  :ocv:func:`threshold` . The ``THRESH_OTSU`` and ``THRESH_TRIANGLE`` threshold types are not supported.
 
     :param stream: Stream for the asynchronous version.
 

diff --git a/modules/cudafeatures2d/perf/perf_features2d.cpp b/modules/cudafeatures2d/perf/perf_features2d.cpp
index 542195e..26eb434 100644 (file)
--- a/modules/cudafeatures2d/perf/perf_features2d.cpp
+++ b/modules/cudafeatures2d/perf/perf_features2d.cpp
@@ -128,12 +128,12 @@ PERF_TEST_P(Image_NFeatures, ORB,
     }
     else
     {
-        cv::ORB orb(nFeatures);
+        cv::Ptr<cv::ORB> orb = cv::ORB::create(nFeatures);
 
         std::vector<cv::KeyPoint> cpu_keypoints;
         cv::Mat cpu_descriptors;
 
-        TEST_CYCLE() orb(img, cv::noArray(), cpu_keypoints, cpu_descriptors);
+        TEST_CYCLE() orb->detectAndCompute(img, cv::noArray(), cpu_keypoints, cpu_descriptors);
 
         SANITY_CHECK_KEYPOINTS(cpu_keypoints);
         SANITY_CHECK(cpu_descriptors);

diff --git a/modules/cudafeatures2d/test/test_features2d.cpp b/modules/cudafeatures2d/test/test_features2d.cpp
index ae71a2e..6e4479b 100644 (file)
--- a/modules/cudafeatures2d/test/test_features2d.cpp
+++ b/modules/cudafeatures2d/test/test_features2d.cpp
@@ -185,11 +185,11 @@ CUDA_TEST_P(ORB, Accuracy)
         cv::cuda::GpuMat descriptors;
         orb(loadMat(image), loadMat(mask), keypoints, descriptors);
 
-        cv::ORB orb_gold(nFeatures, scaleFactor, nLevels, edgeThreshold, firstLevel, WTA_K, scoreType, patchSize);
+        cv::Ptr<cv::ORB> orb_gold = cv::ORB::create(nFeatures, scaleFactor, nLevels, edgeThreshold, firstLevel, WTA_K, scoreType, patchSize);
 
         std::vector<cv::KeyPoint> keypoints_gold;
         cv::Mat descriptors_gold;
-        orb_gold(image, mask, keypoints_gold, descriptors_gold);
+        orb_gold->detectAndCompute(image, mask, keypoints_gold, descriptors_gold);
 
         cv::BFMatcher matcher(cv::NORM_HAMMING);
         std::vector<cv::DMatch> matches;

diff --git a/modules/cudastereo/perf/perf_stereo.cpp b/modules/cudastereo/perf/perf_stereo.cpp
index 68650cd..36b065e 100644 (file)
--- a/modules/cudastereo/perf/perf_stereo.cpp
+++ b/modules/cudastereo/perf/perf_stereo.cpp
@@ -79,7 +79,7 @@ PERF_TEST_P(ImagePair, StereoBM,
     }
     else
     {
-        cv::Ptr<cv::StereoBM> bm = cv::createStereoBM(ndisp);
+        cv::Ptr<cv::StereoBM> bm = cv::StereoBM::create(ndisp);
 
         cv::Mat dst;
 

diff --git a/modules/imgproc/doc/miscellaneous_transformations.rst b/modules/imgproc/doc/miscellaneous_transformations.rst
index bbd692e..b0dedfa 100644 (file)
--- a/modules/imgproc/doc/miscellaneous_transformations.rst
+++ b/modules/imgproc/doc/miscellaneous_transformations.rst
@@ -712,11 +712,11 @@ types of thresholding supported by the function. They are determined by ``type``
 
               \texttt{dst} (x,y) =  \fork{0}{if $\texttt{src}(x,y) > \texttt{thresh}$}{\texttt{src}(x,y)}{otherwise}
 
-Also, the special value ``THRESH_OTSU`` may be combined with
-one of the above values. In this case, the function determines the optimal threshold
-value using the Otsu's algorithm and uses it instead of the specified ``thresh`` .
+Also, the special values ``THRESH_OTSU`` or ``THRESH_TRIANGLE`` may be combined with
+one of the above values. In these cases, the function determines the optimal threshold
+value using the Otsu's or Triangle algorithm and uses it instead of the specified ``thresh`` .
 The function returns the computed threshold value.
-Currently, the Otsu's method is implemented only for 8-bit images.
+Currently, the Otsu's and Triangle methods are implemented only for 8-bit images.
 
 
 .. image:: pics/threshold.png

diff --git a/modules/imgproc/include/opencv2/imgproc.hpp b/modules/imgproc/include/opencv2/imgproc.hpp
index ee20f37..09e15c6 100644 (file)
--- a/modules/imgproc/include/opencv2/imgproc.hpp
+++ b/modules/imgproc/include/opencv2/imgproc.hpp
@@ -109,7 +109,8 @@ enum { THRESH_BINARY     = 0, // value = value > threshold ? max_value : 0
        THRESH_TOZERO     = 3, // value = value > threshold ? value : 0
        THRESH_TOZERO_INV = 4, // value = value > threshold ? 0 : value
        THRESH_MASK       = 7,
-       THRESH_OTSU       = 8  // use Otsu algorithm to choose the optimal threshold value
+       THRESH_OTSU       = 8, // use Otsu algorithm to choose the optimal threshold value
+       THRESH_TRIANGLE   = 16  // use Triangle algorithm to choose the optimal threshold value
      };
 
 //! adaptive threshold algorithm

diff --git a/modules/imgproc/include/opencv2/imgproc/types_c.h b/modules/imgproc/include/opencv2/imgproc/types_c.h
index de8fb62..544dee0 100644 (file)
--- a/modules/imgproc/include/opencv2/imgproc/types_c.h
+++ b/modules/imgproc/include/opencv2/imgproc/types_c.h
@@ -551,8 +551,11 @@ enum
     CV_THRESH_TOZERO      =3,  /* value = value > threshold ? value : 0           */
     CV_THRESH_TOZERO_INV  =4,  /* value = value > threshold ? 0 : value           */
     CV_THRESH_MASK        =7,
-    CV_THRESH_OTSU        =8  /* use Otsu algorithm to choose the optimal threshold value;
+    CV_THRESH_OTSU        =8, /* use Otsu algorithm to choose the optimal threshold value;
                                  combine the flag with one of the above CV_THRESH_* values */
+    CV_THRESH_TRIANGLE    =16  /* use Triangle algorithm to choose the optimal threshold value;
+                                 combine the flag with one of the above CV_THRESH_* values, but not
+                                 with CV_THRESH_OTSU */
 };
 
 /* Adaptive threshold methods */

diff --git a/modules/imgproc/src/smooth.cpp b/modules/imgproc/src/smooth.cpp
index be2789b..5ab70d9 100644 (file)
--- a/modules/imgproc/src/smooth.cpp
+++ b/modules/imgproc/src/smooth.cpp
@@ -1223,15 +1223,17 @@ void cv::boxFilter( InputArray _src, OutputArray _dst, int ddepth,
             else if (stype == CV_8UC4)
                 IPP_FILTER_BOX_BORDER(Ipp8u, ipp8u, 8u_C4R);
 
-            else if (stype == CV_16UC1)
-                IPP_FILTER_BOX_BORDER(Ipp16u, ipp16u, 16u_C1R);
+            // Oct 2014: performance with BORDER_CONSTANT
+            //else if (stype == CV_16UC1)
+            //    IPP_FILTER_BOX_BORDER(Ipp16u, ipp16u, 16u_C1R);
             else if (stype == CV_16UC3)
                 IPP_FILTER_BOX_BORDER(Ipp16u, ipp16u, 16u_C3R);
             else if (stype == CV_16UC4)
                 IPP_FILTER_BOX_BORDER(Ipp16u, ipp16u, 16u_C4R);
 
-            else if (stype == CV_16SC1)
-                IPP_FILTER_BOX_BORDER(Ipp16s, ipp16s, 16s_C1R);
+            // Oct 2014: performance with BORDER_CONSTANT
+            //else if (stype == CV_16SC1)
+            //    IPP_FILTER_BOX_BORDER(Ipp16s, ipp16s, 16s_C1R);
             else if (stype == CV_16SC3)
                 IPP_FILTER_BOX_BORDER(Ipp16s, ipp16s, 16s_C3R);
             else if (stype == CV_16SC4)

diff --git a/modules/imgproc/src/thresh.cpp b/modules/imgproc/src/thresh.cpp
index 6e0639c..03105dd 100644 (file)
--- a/modules/imgproc/src/thresh.cpp
+++ b/modules/imgproc/src/thresh.cpp
@@ -986,6 +986,110 @@ getThreshVal_Otsu_8u( const Mat& _src )
     return max_val;
 }
 
+static double
+getThreshVal_Triangle_8u( const Mat& _src )
+{
+    Size size = _src.size();
+    int step = (int) _src.step;
+    if( _src.isContinuous() )
+    {
+        size.width *= size.height;
+        size.height = 1;
+        step = size.width;
+    }
+
+    const int N = 256;
+    int i, j, h[N] = {0};
+    for( i = 0; i < size.height; i++ )
+    {
+        const uchar* src = _src.ptr() + step*i;
+        j = 0;
+        #if CV_ENABLE_UNROLLED
+        for( ; j <= size.width - 4; j += 4 )
+        {
+            int v0 = src[j], v1 = src[j+1];
+            h[v0]++; h[v1]++;
+            v0 = src[j+2]; v1 = src[j+3];
+            h[v0]++; h[v1]++;
+        }
+        #endif
+        for( ; j < size.width; j++ )
+            h[src[j]]++;
+    }
+
+    int left_bound = 0, right_bound = 0, max_ind = 0, max = 0;
+    int temp;
+    bool isflipped = false;
+
+    for( i = 0; i < N; i++ )
+    {
+        if( h[i] > 0 )
+        {
+            left_bound = i;
+            break;
+        }
+    }
+    if( left_bound > 0 )
+        left_bound--;
+
+    for( i = N-1; i > 0; i-- )
+    {
+        if( h[i] > 0 )
+        {
+            right_bound = i;
+            break;
+        }
+    }
+    if( right_bound < N-1 )
+        right_bound++;
+
+    for( i = 0; i < N; i++ )
+    {
+        if( h[i] > max)
+        {
+            max = h[i];
+            max_ind = i;
+        }
+    }
+
+    if( max_ind-left_bound < right_bound-max_ind)
+    {
+        isflipped = true;
+        i = 0, j = N-1;
+        while( i < j )
+        {
+            temp = h[i]; h[i] = h[j]; h[j] = temp;
+            i++; j--;
+        }
+        left_bound = N-1-right_bound;
+        max_ind = N-1-max_ind;
+    }
+
+    double thresh = left_bound;
+    double a, b, dist = 0, tempdist;
+
+    /*
+     * We do not need to compute precise distance here. Distance is maximized, so some constants can
+     * be omitted. This speeds up a computation a bit.
+     */
+    a = max; b = left_bound-max_ind;
+    for( i = left_bound+1; i <= max_ind; i++ )
+    {
+        tempdist = a*i + b*h[i];
+        if( tempdist > dist)
+        {
+            dist = tempdist;
+            thresh = i;
+        }
+    }
+    thresh--;
+
+    if( isflipped )
+        thresh = N-1-thresh;
+
+    return thresh;
+}
+
 class ThresholdRunner : public ParallelLoopBody
 {
 public:
@@ -1085,13 +1189,19 @@ double cv::threshold( InputArray _src, OutputArray _dst, double thresh, double m
                 ocl_threshold(_src, _dst, thresh, maxval, type), thresh)
 
     Mat src = _src.getMat();
-    bool use_otsu = (type & THRESH_OTSU) != 0;
+    int automatic_thresh = (type & ~CV_THRESH_MASK);
     type &= THRESH_MASK;
 
-    if( use_otsu )
+    CV_Assert( automatic_thresh != (CV_THRESH_OTSU | CV_THRESH_TRIANGLE) );
+    if( automatic_thresh == CV_THRESH_OTSU )
+    {
+        CV_Assert( src.type() == CV_8UC1 );
+        thresh = getThreshVal_Otsu_8u( src );
+    }
+    else if( automatic_thresh == CV_THRESH_TRIANGLE )
     {
         CV_Assert( src.type() == CV_8UC1 );
-        thresh = getThreshVal_Otsu_8u(src);
+        thresh = getThreshVal_Triangle_8u( src );
     }
 
     _dst.create( src.size(), src.type() );

diff --git a/modules/ts/src/ocl_test.cpp b/modules/ts/src/ocl_test.cpp
index d429d4b..270dec9 100644 (file)
--- a/modules/ts/src/ocl_test.cpp
+++ b/modules/ts/src/ocl_test.cpp
@@ -128,6 +128,9 @@ void dumpOpenCLDevice()
         }
 
         const Device& device = Device::getDefault();
+        if (!device.available())
+            CV_ErrorNoReturn(CV_OpenCLInitError, "OpenCL device is not available");
+
         DUMP_MESSAGE_STDOUT("Current OpenCL device: ");
 
 #if 0

diff --git a/samples/cpp/airplane.jpg b/samples/cpp/airplane.jpg
deleted file mode 100644 (file)
index a9b4652..0000000
Binary files a/samples/cpp/airplane.jpg and /dev/null differ

diff --git a/samples/cpp/baboon.jpg b/samples/cpp/baboon.jpg
deleted file mode 100644 (file)
index 2f98d83..0000000
Binary files a/samples/cpp/baboon.jpg and /dev/null differ

diff --git a/samples/cpp/baboon200.jpg b/samples/cpp/baboon200.jpg
deleted file mode 100644 (file)
index 1b873e0..0000000
Binary files a/samples/cpp/baboon200.jpg and /dev/null differ

diff --git a/samples/cpp/baboon200_rotated.jpg b/samples/cpp/baboon200_rotated.jpg
deleted file mode 100644 (file)
index 86160db..0000000
Binary files a/samples/cpp/baboon200_rotated.jpg and /dev/null differ

diff --git a/samples/cpp/bgfg_segm.cpp b/samples/cpp/bgfg_segm.cpp
index 94aa4d8..c02185a 100644 (file)
--- 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 32bd0dc..d1c3411 100644 (file)
--- 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 <image(stuff.jpg as default)>\n"
+             "  ./connected_components <image(../data/stuff.jpg as default)>\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 033b63d..39661f0 100644 (file)
--- 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 c4034e8..0525d9f 100644 (file)
--- 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 8f0ae57..070df3c 100644 (file)
--- 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 a4c0f5d..4b398e7 100644 (file)
--- 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 0c747d3..1206245 100644 (file)
--- 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 46d0818..e099587 100644 (file)
--- 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 519fd2b..41043d1 100644 (file)
--- 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 1e9a858..bd6b77d 100644 (file)
--- 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 2a20b62..34a2e6b 100644 (file)
--- 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 <image_name>, Default is pic1.png\n" << endl;
+            "./houghcircles <image_name>, 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 ad472a4..ec825ab 100644 (file)
--- 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 <image_name>, Default is pic1.png\n" << endl;
+            "./houghlines <image_name>, 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 a9a18e3..cf97dda 100644 (file)
--- 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<IplImage> iplimg(cvLoadImage(imagename)); // Ptr<T> is safe ref-counting pointer class
     if(!iplimg)

diff --git a/samples/cpp/image_alignment.cpp b/samples/cpp/image_alignment.cpp
index 85fcc91..08814b8 100644 (file)
--- 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 7d17d0b..55bd91b 100644 (file)
--- 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 b6a35e3..66a5931 100644 (file)
--- 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 a30853a..1aeb42d 100644 (file)
--- 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 = "../data/data01.xml";
     cout << "**********************************************************************" << endl;
     cout << filename
          << " contains digits 0 and 1 of 20 samples each, collected on an Android device" << endl;

diff --git a/samples/cpp/logo.png b/samples/cpp/logo.png
deleted file mode 100644 (file)
index 0263c55..0000000
Binary files a/samples/cpp/logo.png and /dev/null differ

diff --git a/samples/cpp/logo_in_clutter.png b/samples/cpp/logo_in_clutter.png
deleted file mode 100644 (file)
index ccc9ee9..0000000
Binary files a/samples/cpp/logo_in_clutter.png and /dev/null differ

diff --git a/samples/cpp/lsd_lines.cpp b/samples/cpp/lsd_lines.cpp
index 82842b2..69497b3 100644 (file)
--- a/samples/cpp/lsd_lines.cpp
+++ b/samples/cpp/lsd_lines.cpp
@@ -15,8 +15,8 @@ int main(int argc, char** argv)
     std::string in;
     if (argc != 2)
     {
-        std::cout << "Usage: lsd_lines [input image]. 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 (file)
index 8ea8545..0000000
Binary files a/samples/cpp/memorial.exr and /dev/null differ

diff --git a/samples/cpp/morphology2.cpp b/samples/cpp/morphology2.cpp
index d412656..27eb52a 100644 (file)
--- a/samples/cpp/morphology2.cpp
+++ b/samples/cpp/morphology2.cpp
@@ -58,7 +58,7 @@ static void ErodeDilate(int, void*)
 
 int main( int argc, char** argv )
 {
-    char* filename = argc == 2 ? argv[1] : (char*)"baboon.jpg";
+    char* filename = argc == 2 ? argv[1] : (char*)"../data/baboon.jpg";
     if( (src = imread(filename,1)).empty() )
         return -1;
 

diff --git a/samples/cpp/puzzle.png b/samples/cpp/puzzle.png
deleted file mode 100644 (file)
index 499ceac..0000000
Binary files a/samples/cpp/puzzle.png and /dev/null differ

diff --git a/samples/cpp/scene_l.bmp b/samples/cpp/scene_l.bmp
deleted file mode 100644 (file)
index dd3b619..0000000
Binary files a/samples/cpp/scene_l.bmp and /dev/null differ

diff --git a/samples/cpp/scene_r.bmp b/samples/cpp/scene_r.bmp
deleted file mode 100644 (file)
index 2b6c8d6..0000000
Binary files a/samples/cpp/scene_r.bmp and /dev/null differ

diff --git a/samples/cpp/shape_example.cpp b/samples/cpp/shape_example.cpp
index 42bcffd..e1c925f 100644 (file)
--- a/samples/cpp/shape_example.cpp
+++ b/samples/cpp/shape_example.cpp
@@ -17,7 +17,7 @@ static void help()
 {
     printf("\n"
             "This program demonstrates a method for shape comparisson based on Shape Context\n"
-            "You should run the program providing a number between 1 and 20 for selecting an image in the folder shape_sample.\n"
+            "You should run the program providing a number between 1 and 20 for selecting an image in the folder ../data/shape_sample.\n"
             "Call\n"
             "./shape_example [number between 1 and 20]\n\n");
 }
@@ -55,7 +55,7 @@ static vector<Point> simpleContour( const Mat& currentQuery, int n=300 )
 int main(int argc, char** argv)
 {
     help();
-    string path = "./shape_sample/";
+    string path = "../data/shape_sample/";
     int indexQuery = 1;
     if( argc < 2 )
     {

diff --git a/samples/cpp/squares.cpp b/samples/cpp/squares.cpp
index 23d2ad0..f53e931 100644 (file)
--- a/samples/cpp/squares.cpp
+++ b/samples/cpp/squares.cpp
@@ -142,8 +142,8 @@ static void drawSquares( Mat& image, const vector<vector<Point> >& squares )
 
 int main(int /*argc*/, char** /*argv*/)
 {
-    static 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<vector<Point> > squares;

diff --git a/samples/cpp/stereo_calib.cpp b/samples/cpp/stereo_calib.cpp
index 667cffc..44edb82 100644 (file)
--- a/samples/cpp/stereo_calib.cpp
+++ b/samples/cpp/stereo_calib.cpp
@@ -212,7 +212,7 @@ StereoCalib(const vector<string>& 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";
+        imagelistfn = "../data/stereo_calib.xml";
         boardSize = Size(9, 6);
     }
     else if( boardSize.width <= 0 || boardSize.height <= 0 )

diff --git a/samples/cpp/tsukuba_l.png b/samples/cpp/tsukuba_l.png
deleted file mode 100644 (file)
index be22fd6..0000000
Binary files a/samples/cpp/tsukuba_l.png and /dev/null differ

diff --git a/samples/cpp/tsukuba_r.png b/samples/cpp/tsukuba_r.png
deleted file mode 100644 (file)
index c4acf61..0000000
Binary files a/samples/cpp/tsukuba_r.png and /dev/null differ

diff --git a/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp b/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp
index 11843fb..9e04dd9 100644 (file)
--- 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 b7a27d2..32ce10f 100644 (file)
--- 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"<<std::endl; return -1; }
    if( src2.empty() ) { std::cout<< "Error loading src2"<<std::endl; return -1; }

diff --git a/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp b/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp
index 31c0a85..c52c0e0 100644 (file)
--- a/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp
+++ b/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp
@@ -32,7 +32,7 @@ int main( void )
   printf( " * [ESC] -> 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 238f921..e7ac4d4 100644 (file)
--- 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( display_caption( "Original Image" ) != 0 ) { return 0; }
 

diff --git a/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp b/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp
index 581a968..dbebeea 100644 (file)
--- a/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp
+++ b/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp
@@ -14,14 +14,14 @@ static void help(char* progName)
         <<  "This program demonstrated the use of the discrete Fourier transform (DFT). " << endl
         <<  "The dft of an image is taken and it's power spectrum is displayed."          << endl
         <<  "Usage:"                                                                      << endl
-        << progName << " [image_name -- default lena.jpg] "                       << endl << endl;
+        << progName << " [image_name -- default ../data/lena.jpg] "               << endl << endl;
 }
 
 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 = 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 388b774..8fc722d 100644 (file)
--- 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 1b1c1bc..e18bbec 100644 (file)
--- 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<IplImage> IplI(cvLoadImage(imagename));      // Ptr<T> 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 0cfc5e6..0a25f15 100644 (file)
--- 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 93e22ce..f0cbca1 100644 (file)
--- 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 5662cc9..7018b70 100755 (executable)
--- 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<KeyPoint> kpts1, kpts2;

diff --git a/samples/cpp/tutorial_code/images/Megamind.png b/samples/cpp/tutorial_code/images/Megamind.png
deleted file mode 100644 (file)
index a1cc6d1..0000000
Binary files a/samples/cpp/tutorial_code/images/Megamind.png and /dev/null differ

diff --git a/samples/cpp/tutorial_code/images/Megamind_alt.png b/samples/cpp/tutorial_code/images/Megamind_alt.png
deleted file mode 100644 (file)
index 4e345f2..0000000
Binary files a/samples/cpp/tutorial_code/images/Megamind_alt.png and /dev/null differ

diff --git a/samples/cpp/tutorial_code/images/cat.jpg b/samples/cpp/tutorial_code/images/cat.jpg
deleted file mode 100755 (executable)
index df4a907..0000000
Binary files a/samples/cpp/tutorial_code/images/cat.jpg and /dev/null differ

diff --git a/samples/cpp/tutorial_code/images/hand_sample1.jpg b/samples/cpp/tutorial_code/images/hand_sample1.jpg
deleted file mode 100644 (file)
index 4c42898..0000000
Binary files a/samples/cpp/tutorial_code/images/hand_sample1.jpg and /dev/null differ

diff --git a/samples/cpp/tutorial_code/images/hand_sample2.jpg b/samples/cpp/tutorial_code/images/hand_sample2.jpg
deleted file mode 100644 (file)
index 8ca11f9..0000000
Binary files a/samples/cpp/tutorial_code/images/hand_sample2.jpg and /dev/null differ

diff --git a/samples/cpp/tutorial_code/images/hand_sample3.jpg b/samples/cpp/tutorial_code/images/hand_sample3.jpg
deleted file mode 100644 (file)
index bd339a0..0000000
Binary files a/samples/cpp/tutorial_code/images/hand_sample3.jpg and /dev/null differ

diff --git a/samples/cpp/tutorial_code/images/lena.png b/samples/cpp/tutorial_code/images/lena.png
deleted file mode 100644 (file)
index 59ef68a..0000000
Binary files a/samples/cpp/tutorial_code/images/lena.png and /dev/null differ

diff --git a/samples/cpp/tutorial_code/images/yellowball.jpg b/samples/cpp/tutorial_code/images/yellowball.jpg
deleted file mode 100644 (file)
index ac76e08..0000000
Binary files a/samples/cpp/tutorial_code/images/yellowball.jpg and /dev/null differ

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 c97ff9e..133ada6 100644 (file)
--- 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 <opencv2/core/core.hpp>
 #include <opencv2/imgcodecs.hpp>
 #include <opencv2/highgui/highgui.hpp>
+
 #include <iostream>
+#include <string>
 
 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/cpp/ufacedetect.cpp b/samples/cpp/ufacedetect.cpp
index a4a0271..1e08b3e 100644 (file)
--- 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 e57c5aa..b92bbf1 100644 (file)
--- 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 (file)
index 179e51a..0000000
--- 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
-0.86,0.29,2.19,-0.02,1.13,2.51,2.37,5.45,5.45,4.84,4.65,4.05,2.58,1.40,1.24,1.41,1.07,-1.43,2.84,-1.18,1.12,1
-1.16,0.37,0.40,-0.59,2.66,1.00,2.69,4.06,5.34,3.53,4.82,4.79,4.30,1.84,1.73,0.21,-0.18,0.13,-0.21,-0.80,-0.68,1
--0.00,0.77,1.32,0.29,-1.28,0.84,1.60,1.55,2.93,4.76,5.55,4.30,4.89,2.81,2.37,3.68,-0.98,0.69,0.91,-1.80,0.39,2
-0.87,1.07,-0.65,1.46,0.84,2.70,3.67,2.94,3.81,5.20,8.16,3.29,4.24,2.43,0.40,1.60,0.72,0.66,0.05,-0.24,0.67,1
--0.22,-0.91,-1.18,0.35,-1.92,-1.59,1.91,0.75,1.72,2.02,3.63,3.91,2.73,4.29,4.89,2.04,1.13,-0.66,-1.33,0.41,-0.75,2
--1.11,-1.14,-0.89,0.00,0.53,0.44,0.24,2.15,1.64,1.75,3.92,5.68,3.39,4.24,3.81,4.56,3.18,1.51,2.90,0.14,-0.12,2
--0.75,1.10,-1.90,1.43,0.47,0.40,0.86,3.51,2.62,4.50,6.83,6.94,0.75,3.23,1.08,-0.25,0.73,-0.41,-1.50,0.46,1.47,2
-0.14,-1.18,1.42,2.28,3.10,3.15,3.49,4.54,1.40,3.41,3.40,2.83,0.06,0.60,3.61,2.08,-0.83,0.55,-0.55,-0.43,-1.05,0
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diff --git a/samples/gpu/768x576.avi b/samples/data/768x576.avi
similarity index 100%
rename from samples/gpu/768x576.avi
rename to samples/data/768x576.avi

diff --git a/samples/cpp/H1to3p.xml b/samples/data/H1to3p.xml
similarity index 100%
rename from samples/cpp/H1to3p.xml
rename to samples/data/H1to3p.xml

diff --git a/samples/cpp/tutorial_code/images/HappyFish.jpg b/samples/data/HappyFish.jpg
similarity index 100%
rename from samples/cpp/tutorial_code/images/HappyFish.jpg
rename to samples/data/HappyFish.jpg

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
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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
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diff --git a/samples/python2/data/aero1.jpg b/samples/data/aero1.jpg
similarity index 100%
rename from samples/python2/data/aero1.jpg
rename to samples/data/aero1.jpg

diff --git a/samples/python2/data/aero3.jpg b/samples/data/aero3.jpg
similarity index 100%
rename from samples/python2/data/aero3.jpg
rename to samples/data/aero3.jpg

diff --git a/samples/gpu/aloeL.jpg b/samples/data/aloeL.jpg
similarity index 100%
rename from samples/gpu/aloeL.jpg
rename to samples/data/aloeL.jpg

diff --git a/samples/gpu/aloeR.jpg b/samples/data/aloeR.jpg
similarity index 100%
rename from samples/gpu/aloeR.jpg
rename to samples/data/aloeR.jpg

diff --git a/samples/cpp/tutorial_code/images/baboon.jpg b/samples/data/baboon.jpg
similarity index 100%
rename from samples/cpp/tutorial_code/images/baboon.jpg
rename to samples/data/baboon.jpg

diff --git a/samples/gpu/basketball1.png b/samples/data/basketball1.png
similarity index 100%
rename from samples/gpu/basketball1.png
rename to samples/data/basketball1.png

diff --git a/samples/gpu/basketball2.png b/samples/data/basketball2.png
similarity index 100%
rename from samples/gpu/basketball2.png
rename to samples/data/basketball2.png

diff --git a/samples/cpp/board.jpg b/samples/data/board.jpg
similarity index 100%
rename from samples/cpp/board.jpg
rename to samples/data/board.jpg

diff --git a/samples/cpp/box.png b/samples/data/box.png
similarity index 100%
rename from samples/cpp/box.png
rename to samples/data/box.png

diff --git a/samples/cpp/box_in_scene.png b/samples/data/box_in_scene.png
similarity index 100%
rename from samples/cpp/box_in_scene.png
rename to samples/data/box_in_scene.png

diff --git a/samples/cpp/building.jpg b/samples/data/building.jpg
similarity index 100%
rename from samples/cpp/building.jpg
rename to samples/data/building.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

diff --git a/samples/cpp/data01.xml b/samples/data/data01.xml
similarity index 100%
rename from samples/cpp/data01.xml
rename to samples/data/data01.xml

diff --git a/samples/python2/data/digits.png b/samples/data/digits.png
similarity index 100%
rename from samples/python2/data/digits.png
rename to samples/data/digits.png

diff --git a/samples/cpp/fruits.jpg b/samples/data/fruits.jpg
similarity index 100%
rename from samples/cpp/fruits.jpg
rename to samples/data/fruits.jpg

diff --git a/samples/cpp/graf1.png b/samples/data/graf1.png
similarity index 100%
rename from samples/cpp/graf1.png
rename to samples/data/graf1.png

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similarity index 100%
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diff --git a/samples/gpu/rubberwhale1.png b/samples/data/rubberwhale1.png
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diff --git a/samples/gpu/rubberwhale2.png b/samples/data/rubberwhale2.png
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diff --git a/samples/cpp/shape_sample/6.png b/samples/data/shape_sample/6.png
similarity index 100%
rename from samples/cpp/shape_sample/6.png
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diff --git a/samples/cpp/shape_sample/7.png b/samples/data/shape_sample/7.png
similarity index 100%
rename from samples/cpp/shape_sample/7.png
rename to samples/data/shape_sample/7.png

diff --git a/samples/cpp/shape_sample/8.png b/samples/data/shape_sample/8.png
similarity index 100%
rename from samples/cpp/shape_sample/8.png
rename to samples/data/shape_sample/8.png

diff --git a/samples/cpp/shape_sample/9.png b/samples/data/shape_sample/9.png
similarity index 100%
rename from samples/cpp/shape_sample/9.png
rename to samples/data/shape_sample/9.png

diff --git 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 68875fa..0772302 100644 (file)
--- a/samples/cpp/stereo_calib.xml
+++ b/samples/data/stereo_calib.xml
@@ -29,4 +29,3 @@
 "right14.jpg"
 </imagelist>
 </opencv_storage>
-

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 7e9865d..89bb8d6 100644 (file)
--- 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 a9081c5..fb1cb89 100644 (file)
--- 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 29dc69c..040ef28 100644 (file)
--- 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 <image_name>, Default is pic1.png\n" << endl;
+    cout << "./gpu-example-houghlines <image_name>, 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 8e2961a..b5e50ca 100644 (file)
--- 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 9f2c2d1..d1e4c07 100644 (file)
--- 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<KeyPoint> 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<KeyPoint> 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<KeyPoint> 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<Point2f> 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 (file)
index a52c87c..0000000
Binary files a/samples/gpu/road.png and /dev/null differ

diff --git a/samples/gpu/tsucuba_left.png b/samples/gpu/tsucuba_left.png
deleted file mode 100644 (file)
index 09679b2..0000000
Binary files a/samples/gpu/tsucuba_left.png and /dev/null differ

diff --git a/samples/gpu/tsucuba_right.png b/samples/gpu/tsucuba_right.png
deleted file mode 100644 (file)
index a97b276..0000000
Binary files a/samples/gpu/tsucuba_right.png and /dev/null differ

diff --git a/samples/python2/asift.py b/samples/python2/asift.py
index 2532086..b24977b 100755 (executable)
--- 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 92122e8..46d7414 100755 (executable)
--- 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 160baf6..7e964d5 100755 (executable)
--- 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 abc8dc1..218efe8 100755 (executable)
--- 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 792ebe1..a1622b5 100755 (executable)
--- 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 <image_file>"
 
     # convert to grayscale

diff --git a/samples/python2/digits.py b/samples/python2/digits.py
index 98fd889..63dbb1e 100755 (executable)
--- 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 dc2a137..819a06c 100755 (executable)
--- 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 ab82f9a..72b8561 100755 (executable)
--- 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 718a14f..fb1e073 100755 (executable)
--- 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 ef19141..5152f30 100755 (executable)
--- 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 6d10ffd..b004fb7 100755 (executable)
--- 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 42d9743..014dcc9 100644 (file)
--- 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 <filename> \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 41eec1d..41f7998 100755 (executable)
--- 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 <image_file>"
 
     im = cv2.imread(fname)

diff --git a/samples/python2/houghcircles.py b/samples/python2/houghcircles.py
index 38ed6f3..edf0b78 100755 (executable)
--- 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_name>]
-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 cf67945..5836bee 100755 (executable)
--- 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_name>]
-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 5044afb..4ff1ddb 100755 (executable)
--- 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 ef8c722..cf7aece 100755 (executable)
--- 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 6608248..783c7b8 100644 (file)
--- 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 d9bdb7f..76fa76c 100755 (executable)
--- 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 0803a3d..5b21617 100755 (executable)
--- 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 0e1849c..e47c4b8 100755 (executable)
--- 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 187bb6d..227b13f 100755 (executable)
--- a/samples/python2/video.py
+++ b/samples/python2/video.py
@@ -20,8 +20,8 @@ Usage:
      - synth:<params> 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 c6247da..75a24a6 100755 (executable)
--- 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 17a511c..4058771 100644 (file)
--- 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 3ccc41b..e361c2b 100644 (file)
--- 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 87a3894..e18e533 100644 (file)
--- 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 }";