diff --git a/samples/CMakeLists.txt b/samples/CMakeLists.txt
deleted file mode 100644
index 799f34f10..000000000
--- a/samples/CMakeLists.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-# ----------------------------------------------------------------------------
-# CMake file for samples. See root CMakeLists.txt
-#
-# ----------------------------------------------------------------------------
-
-add_subdirectory(c)
-add_subdirectory(cpp)
-add_subdirectory(gpu)
-add_subdirectory(ocl)
-
-if(ANDROID AND BUILD_ANDROID_EXAMPLES)
- add_subdirectory(android)
-endif()
diff --git a/samples/MacOSX/FaceTracker/FaceTracker-Info.plist b/samples/MacOSX/FaceTracker/FaceTracker-Info.plist
deleted file mode 100644
index 8388dcd4f..000000000
--- a/samples/MacOSX/FaceTracker/FaceTracker-Info.plist
+++ /dev/null
@@ -1,20 +0,0 @@
-
-
-
-
- CFBundleDevelopmentRegion
- English
- CFBundleExecutable
- ${EXECUTABLE_NAME}
- CFBundleIdentifier
- de.rwth-aachen.ient.FaceTracker
- CFBundleInfoDictionaryVersion
- 6.0
- CFBundlePackageType
- APPL
- CFBundleSignature
- ????
- CFBundleVersion
- 1.0
-
-
diff --git a/samples/MacOSX/FaceTracker/FaceTracker.cpp b/samples/MacOSX/FaceTracker/FaceTracker.cpp
deleted file mode 100644
index 0b972f8ac..000000000
--- a/samples/MacOSX/FaceTracker/FaceTracker.cpp
+++ /dev/null
@@ -1,86 +0,0 @@
-
-#include
-#include
-#include
-
-
-const char * WINDOW_NAME = "Face Tracker";
-const CFIndex CASCADE_NAME_LEN = 2048;
- char CASCADE_NAME[CASCADE_NAME_LEN] = "~/opencv/data/haarcascades/haarcascade_frontalface_alt2.xml";
-
-using namespace std;
-
-int main (int argc, char * const argv[])
-{
- const int scale = 2;
-
- // locate haar cascade from inside application bundle
- // (this is the mac way to package application resources)
- CFBundleRef mainBundle = CFBundleGetMainBundle ();
- assert (mainBundle);
- CFURLRef cascade_url = CFBundleCopyResourceURL (mainBundle, CFSTR("haarcascade_frontalface_alt2"), CFSTR("xml"), NULL);
- assert (cascade_url);
- Boolean got_it = CFURLGetFileSystemRepresentation (cascade_url, true,
- reinterpret_cast(CASCADE_NAME), CASCADE_NAME_LEN);
- if (! got_it)
- abort ();
-
- // create all necessary instances
- cvNamedWindow (WINDOW_NAME, CV_WINDOW_AUTOSIZE);
- CvCapture * camera = cvCreateCameraCapture (CV_CAP_ANY);
- CvHaarClassifierCascade* cascade = (CvHaarClassifierCascade*) cvLoad (CASCADE_NAME, 0, 0, 0);
- CvMemStorage* storage = cvCreateMemStorage(0);
- assert (storage);
-
- // you do own an iSight, don't you ?!?
- if (! camera)
- abort ();
-
- // did we load the cascade?!?
- if (! cascade)
- abort ();
-
- // get an initial frame and duplicate it for later work
- IplImage * current_frame = cvQueryFrame (camera);
- IplImage * draw_image = cvCreateImage(cvSize (current_frame->width, current_frame->height), IPL_DEPTH_8U, 3);
- IplImage * gray_image = cvCreateImage(cvSize (current_frame->width, current_frame->height), IPL_DEPTH_8U, 1);
- IplImage * small_image = cvCreateImage(cvSize (current_frame->width / scale, current_frame->height / scale), IPL_DEPTH_8U, 1);
- assert (current_frame && gray_image && draw_image);
-
- // as long as there are images ...
- while (current_frame = cvQueryFrame (camera))
- {
- // convert to gray and downsize
- cvCvtColor (current_frame, gray_image, CV_BGR2GRAY);
- cvResize (gray_image, small_image, CV_INTER_LINEAR);
-
- // detect faces
- CvSeq* faces = cvHaarDetectObjects (small_image, cascade, storage,
- 1.1, 2, CV_HAAR_DO_CANNY_PRUNING,
- cvSize (30, 30));
-
- // draw faces
- cvFlip (current_frame, draw_image, 1);
- for (int i = 0; i < (faces ? faces->total : 0); i++)
- {
- CvRect* r = (CvRect*) cvGetSeqElem (faces, i);
- CvPoint center;
- int radius;
- center.x = cvRound((small_image->width - r->width*0.5 - r->x) *scale);
- center.y = cvRound((r->y + r->height*0.5)*scale);
- radius = cvRound((r->width + r->height)*0.25*scale);
- cvCircle (draw_image, center, radius, CV_RGB(0,255,0), 3, 8, 0 );
- }
-
- // just show the image
- cvShowImage (WINDOW_NAME, draw_image);
-
- // wait a tenth of a second for keypress and window drawing
- int key = cvWaitKey (100);
- if (key == 'q' || key == 'Q')
- break;
- }
-
- // be nice and return no error
- return 0;
-}
diff --git a/samples/MacOSX/FaceTracker/FaceTracker.xcodeproj/project.pbxproj b/samples/MacOSX/FaceTracker/FaceTracker.xcodeproj/project.pbxproj
deleted file mode 100644
index 5d793c420..000000000
--- a/samples/MacOSX/FaceTracker/FaceTracker.xcodeproj/project.pbxproj
+++ /dev/null
@@ -1,262 +0,0 @@
-// !$*UTF8*$!
-{
- archiveVersion = 1;
- classes = {
- };
- objectVersion = 42;
- objects = {
-
-/* Begin PBXBuildFile section */
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-/* End PBXBuildFile section */
-
-/* Begin PBXCopyFilesBuildPhase section */
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- isa = PBXCopyFilesBuildPhase;
- buildActionMask = 2147483647;
- dstPath = "";
- dstSubfolderSpec = 10;
- files = (
- 4D95C9D80C0577BD00983E4D /* OpenCV.framework in CopyFiles */,
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- runOnlyForDeploymentPostprocessing = 0;
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-/* End PBXCopyFilesBuildPhase section */
-
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-
-/* Begin PBXFrameworksBuildPhase section */
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-/* End PBXFrameworksBuildPhase section */
-
-/* Begin PBXGroup section */
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- isa = PBXGroup;
- children = (
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- isa = PBXGroup;
- children = (
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- );
- name = Frameworks;
- sourceTree = "";
- };
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- isa = PBXGroup;
- children = (
- 4DBF87300C05731500880673 /* haarcascade_frontalface_alt2.xml */,
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- name = Resources;
- sourceTree = "";
- };
-/* End PBXGroup section */
-
-/* Begin PBXNativeTarget section */
- 4D7DBE560C04A8FF00D8835D /* FaceTracker */ = {
- isa = PBXNativeTarget;
- buildConfigurationList = 4D7DBE5A0C04A8FF00D8835D /* Build configuration list for PBXNativeTarget "FaceTracker" */;
- buildPhases = (
- 4D7DBE530C04A8FF00D8835D /* Resources */,
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- 4D7DBE550C04A8FF00D8835D /* Frameworks */,
- 4D7DBE8F0C04A93300D8835D /* CopyFiles */,
- );
- buildRules = (
- );
- dependencies = (
- );
- name = FaceTracker;
- productName = FaceTracker;
- productReference = 4D7DBE570C04A8FF00D8835D /* FaceTracker.app */;
- productType = "com.apple.product-type.application";
- };
-/* End PBXNativeTarget section */
-
-/* Begin PBXProject section */
- 08FB7793FE84155DC02AAC07 /* Project object */ = {
- isa = PBXProject;
- buildConfigurationList = 1DEB923508733DC60010E9CD /* Build configuration list for PBXProject "FaceTracker" */;
- hasScannedForEncodings = 1;
- mainGroup = 08FB7794FE84155DC02AAC07 /* FrameworkTest */;
- projectDirPath = "";
- targets = (
- 4D7DBE560C04A8FF00D8835D /* FaceTracker */,
- );
- };
-/* End PBXProject section */
-
-/* Begin PBXResourcesBuildPhase section */
- 4D7DBE530C04A8FF00D8835D /* Resources */ = {
- isa = PBXResourcesBuildPhase;
- buildActionMask = 2147483647;
- files = (
- 4DBF87310C05731500880673 /* haarcascade_frontalface_alt2.xml in Resources */,
- );
- runOnlyForDeploymentPostprocessing = 0;
- };
-/* End PBXResourcesBuildPhase section */
-
-/* Begin PBXSourcesBuildPhase section */
- 4D7DBE540C04A8FF00D8835D /* Sources */ = {
- isa = PBXSourcesBuildPhase;
- buildActionMask = 2147483647;
- files = (
- 4D7DBE8E0C04A90C00D8835D /* FaceTracker.cpp in Sources */,
- );
- runOnlyForDeploymentPostprocessing = 0;
- };
-/* End PBXSourcesBuildPhase section */
-
-/* Begin XCBuildConfiguration section */
- 1DEB923608733DC60010E9CD /* Debug */ = {
- isa = XCBuildConfiguration;
- buildSettings = {
- GCC_WARN_ABOUT_RETURN_TYPE = YES;
- GCC_WARN_UNUSED_VARIABLE = YES;
- PREBINDING = NO;
- SDKROOT = /Developer/SDKs/MacOSX10.4u.sdk;
- };
- name = Debug;
- };
- 1DEB923708733DC60010E9CD /* Release */ = {
- isa = XCBuildConfiguration;
- buildSettings = {
- ARCHS = (
- ppc,
- i386,
- );
- GCC_WARN_ABOUT_RETURN_TYPE = YES;
- GCC_WARN_UNUSED_VARIABLE = YES;
- PREBINDING = NO;
- SDKROOT = /Developer/SDKs/MacOSX10.4u.sdk;
- };
- name = Release;
- };
- 4D7DBE5B0C04A8FF00D8835D /* Debug */ = {
- isa = XCBuildConfiguration;
- buildSettings = {
- COPY_PHASE_STRIP = NO;
- FRAMEWORK_SEARCH_PATHS = (
- "$(inherited)",
- "$(FRAMEWORK_SEARCH_PATHS_QUOTED_1)",
- "$(FRAMEWORK_SEARCH_PATHS_QUOTED_2)",
- );
- FRAMEWORK_SEARCH_PATHS_QUOTED_1 = "\"$(SRCROOT)/../opencv\"";
- FRAMEWORK_SEARCH_PATHS_QUOTED_2 = "\"$(SRCROOT)/../../..\"";
- GCC_DYNAMIC_NO_PIC = NO;
- GCC_ENABLE_FIX_AND_CONTINUE = YES;
- GCC_GENERATE_DEBUGGING_SYMBOLS = YES;
- GCC_MODEL_TUNING = G5;
- GCC_OPTIMIZATION_LEVEL = 0;
- GCC_PRECOMPILE_PREFIX_HEADER = YES;
- GCC_PREFIX_HEADER = "$(SYSTEM_LIBRARY_DIR)/Frameworks/Carbon.framework/Headers/Carbon.h";
- INFOPLIST_FILE = "FaceTracker-Info.plist";
- INSTALL_PATH = "$(HOME)/Applications";
- OTHER_LDFLAGS = (
- "-framework",
- Carbon,
- );
- PREBINDING = NO;
- PRODUCT_NAME = FaceTracker;
- WRAPPER_EXTENSION = app;
- ZERO_LINK = YES;
- };
- name = Debug;
- };
- 4D7DBE5C0C04A8FF00D8835D /* Release */ = {
- isa = XCBuildConfiguration;
- buildSettings = {
- COPY_PHASE_STRIP = YES;
- FRAMEWORK_SEARCH_PATHS = (
- "$(inherited)",
- "$(FRAMEWORK_SEARCH_PATHS_QUOTED_1)",
- "$(FRAMEWORK_SEARCH_PATHS_QUOTED_2)",
- );
- FRAMEWORK_SEARCH_PATHS_QUOTED_1 = "\"$(SRCROOT)/../opencv\"";
- FRAMEWORK_SEARCH_PATHS_QUOTED_2 = "\"$(SRCROOT)/../../..\"";
- GCC_ENABLE_FIX_AND_CONTINUE = NO;
- GCC_GENERATE_DEBUGGING_SYMBOLS = NO;
- GCC_MODEL_TUNING = G5;
- GCC_PRECOMPILE_PREFIX_HEADER = YES;
- GCC_PREFIX_HEADER = "$(SYSTEM_LIBRARY_DIR)/Frameworks/Carbon.framework/Headers/Carbon.h";
- INFOPLIST_FILE = "FaceTracker-Info.plist";
- INSTALL_PATH = "$(HOME)/Applications";
- OTHER_LDFLAGS = (
- "-framework",
- Carbon,
- );
- PREBINDING = NO;
- PRODUCT_NAME = FaceTracker;
- WRAPPER_EXTENSION = app;
- ZERO_LINK = NO;
- };
- name = Release;
- };
-/* End XCBuildConfiguration section */
-
-/* Begin XCConfigurationList section */
- 1DEB923508733DC60010E9CD /* Build configuration list for PBXProject "FaceTracker" */ = {
- isa = XCConfigurationList;
- buildConfigurations = (
- 1DEB923608733DC60010E9CD /* Debug */,
- 1DEB923708733DC60010E9CD /* Release */,
- );
- defaultConfigurationIsVisible = 0;
- defaultConfigurationName = Release;
- };
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- isa = XCConfigurationList;
- buildConfigurations = (
- 4D7DBE5B0C04A8FF00D8835D /* Debug */,
- 4D7DBE5C0C04A8FF00D8835D /* Release */,
- );
- defaultConfigurationIsVisible = 0;
- defaultConfigurationName = Release;
- };
-/* End XCConfigurationList section */
- };
- rootObject = 08FB7793FE84155DC02AAC07 /* Project object */;
-}
diff --git a/samples/MacOSX/FaceTracker/README.txt b/samples/MacOSX/FaceTracker/README.txt
deleted file mode 100644
index 11f433e39..000000000
--- a/samples/MacOSX/FaceTracker/README.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-FaceTracker/REAME.txt
-2007-05-24, Mark Asbach
-
-Objective:
-This document is intended to get you up and running with an OpenCV Framework on Mac OS X
-
-Building the OpenCV.framework:
-In the main directory of the opencv distribution, you will find a shell script called
-'make_frameworks.sh' that does all of the typical unixy './configure && make' stuff required
-to build a universal binary framework. Invoke this script from Terminal.app, wait some minutes
-and you are done.
-
-OpenCV is a Private Framework:
-On Mac OS X the concept of Framework bundles is meant to simplify distribution of shared libraries,
-accompanying headers and documentation. There are however to subtly different 'flavours' of
-Frameworks: public and private ones. The public frameworks get installed into the Frameworks
-diretories in /Library, /System/Library or ~/Library and are meant to be shared amongst
-applications. The private frameworks are only distributed as parts of an Application Bundle.
-This makes it easier to deploy applications because they bring their own framework invisibly to
-the user. No installation of the framework is necessary and different applications can bring
-different versions of the same framework without any conflict.
-Since OpenCV is still a moving target, it seems best to avoid any installation and versioning issues
-for an end user. The OpenCV framework that currently comes with this demo application therefore
-is a Private Framework.
-
-Use it for targets that result in an Application Bundle:
-Since it is a Private Framework, it must be copied to the Frameworks/ directory of an Application
-Bundle, which means, it is useless for plain unix console applications. You should create a Carbon
-or a Cocoa application target in XCode for your projects. Then add the OpenCV.framework just like
-in this demo and add a Copy Files build phase to your target. Let that phase copy to the Framework
-directory and drop the OpenCV.framework on the build phase (again just like in this demo code).
-
-The resulting application bundle will be self contained and if you set compiler option correctly
-(in the "Build" tab of the "Project Info" window you should find 'i386 ppc' for the architectures),
-your application can just be copied to any OS 10.4 Mac and used without further installation.
diff --git a/samples/android/.gitignore b/samples/android/.gitignore
deleted file mode 100644
index 2d406cbbc..000000000
--- a/samples/android/.gitignore
+++ /dev/null
@@ -1,7 +0,0 @@
-bin/
-gen/
-build.xml
-local.properties
-proguard-project.txt
-project.properties
-default.properties
\ No newline at end of file
diff --git a/samples/android/15-puzzle/.classpath b/samples/android/15-puzzle/.classpath
deleted file mode 100644
index 3f9691c5d..000000000
--- a/samples/android/15-puzzle/.classpath
+++ /dev/null
@@ -1,8 +0,0 @@
-
-
-
-
-
-
-
-
diff --git a/samples/android/15-puzzle/.project b/samples/android/15-puzzle/.project
deleted file mode 100644
index e7ad66040..000000000
--- a/samples/android/15-puzzle/.project
+++ /dev/null
@@ -1,33 +0,0 @@
-
-
- OpenCV Sample - 15 puzzle
-
-
-
-
-
- com.android.ide.eclipse.adt.ResourceManagerBuilder
-
-
-
-
- com.android.ide.eclipse.adt.PreCompilerBuilder
-
-
-
-
- org.eclipse.jdt.core.javabuilder
-
-
-
-
- com.android.ide.eclipse.adt.ApkBuilder
-
-
-
-
-
- com.android.ide.eclipse.adt.AndroidNature
- org.eclipse.jdt.core.javanature
-
-
diff --git a/samples/android/15-puzzle/.settings/org.eclipse.jdt.core.prefs b/samples/android/15-puzzle/.settings/org.eclipse.jdt.core.prefs
deleted file mode 100644
index b080d2ddc..000000000
--- a/samples/android/15-puzzle/.settings/org.eclipse.jdt.core.prefs
+++ /dev/null
@@ -1,4 +0,0 @@
-eclipse.preferences.version=1
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
-org.eclipse.jdt.core.compiler.compliance=1.6
-org.eclipse.jdt.core.compiler.source=1.6
diff --git a/samples/android/15-puzzle/AndroidManifest.xml b/samples/android/15-puzzle/AndroidManifest.xml
deleted file mode 100644
index 356382bf1..000000000
--- a/samples/android/15-puzzle/AndroidManifest.xml
+++ /dev/null
@@ -1,34 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/samples/android/15-puzzle/CMakeLists.txt b/samples/android/15-puzzle/CMakeLists.txt
deleted file mode 100644
index 447931955..000000000
--- a/samples/android/15-puzzle/CMakeLists.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-set(sample example-15-puzzle)
-
-add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET})
-if(TARGET ${sample})
- add_dependencies(opencv_android_examples ${sample})
-endif()
diff --git a/samples/android/15-puzzle/res/drawable/icon.png b/samples/android/15-puzzle/res/drawable/icon.png
deleted file mode 100644
index 630454927..000000000
Binary files a/samples/android/15-puzzle/res/drawable/icon.png and /dev/null differ
diff --git a/samples/android/15-puzzle/res/values/strings.xml b/samples/android/15-puzzle/res/values/strings.xml
deleted file mode 100644
index 1421a4505..000000000
--- a/samples/android/15-puzzle/res/values/strings.xml
+++ /dev/null
@@ -1,6 +0,0 @@
-
- OCV 15 Puzzle
- Show/hide tile numbers
- Start new game
-
-
\ No newline at end of file
diff --git a/samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Processor.java b/samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Processor.java
deleted file mode 100644
index 1ffeca82e..000000000
--- a/samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Processor.java
+++ /dev/null
@@ -1,194 +0,0 @@
-package org.opencv.samples.puzzle15;
-
-import org.opencv.core.Core;
-import org.opencv.core.CvType;
-import org.opencv.core.Mat;
-import org.opencv.core.Scalar;
-import org.opencv.core.Size;
-import org.opencv.core.Point;
-
-import android.util.Log;
-
-
-/**
- * This class is a controller for puzzle game.
- * It converts the image from Camera into the shuffled image
- */
-public class Puzzle15Processor {
-
- private static final int GRID_SIZE = 4;
- private static final int GRID_AREA = GRID_SIZE * GRID_SIZE;
- private static final int GRID_EMPTY_INDEX = GRID_AREA - 1;
- private static final String TAG = "Puzzle15Processor";
- private static final Scalar GRID_EMPTY_COLOR = new Scalar(0x33, 0x33, 0x33, 0xFF);
-
- private int[] mIndexes;
- private int[] mTextWidths;
- private int[] mTextHeights;
-
- private Mat mRgba15;
- private Mat[] mCells15;
- private boolean mShowTileNumbers = true;
-
- public Puzzle15Processor() {
- mTextWidths = new int[GRID_AREA];
- mTextHeights = new int[GRID_AREA];
-
- mIndexes = new int [GRID_AREA];
-
- for (int i = 0; i < GRID_AREA; i++)
- mIndexes[i] = i;
- }
-
- /* this method is intended to make processor prepared for a new game */
- public synchronized void prepareNewGame() {
- do {
- shuffle(mIndexes);
- } while (!isPuzzleSolvable());
- }
-
- /* This method is to make the processor know the size of the frames that
- * will be delivered via puzzleFrame.
- * If the frames will be different size - then the result is unpredictable
- */
- public synchronized void prepareGameSize(int width, int height) {
- mRgba15 = new Mat(height, width, CvType.CV_8UC4);
- mCells15 = new Mat[GRID_AREA];
-
- for (int i = 0; i < GRID_SIZE; i++) {
- for (int j = 0; j < GRID_SIZE; j++) {
- int k = i * GRID_SIZE + j;
- mCells15[k] = mRgba15.submat(i * height / GRID_SIZE, (i + 1) * height / GRID_SIZE, j * width / GRID_SIZE, (j + 1) * width / GRID_SIZE);
- }
- }
-
- for (int i = 0; i < GRID_AREA; i++) {
- Size s = Core.getTextSize(Integer.toString(i + 1), 3/* CV_FONT_HERSHEY_COMPLEX */, 1, 2, null);
- mTextHeights[i] = (int) s.height;
- mTextWidths[i] = (int) s.width;
- }
- }
-
- /* this method to be called from the outside. it processes the frame and shuffles
- * the tiles as specified by mIndexes array
- */
- public synchronized Mat puzzleFrame(Mat inputPicture) {
- Mat[] cells = new Mat[GRID_AREA];
- int rows = inputPicture.rows();
- int cols = inputPicture.cols();
-
- rows = rows - rows%4;
- cols = cols - cols%4;
-
- for (int i = 0; i < GRID_SIZE; i++) {
- for (int j = 0; j < GRID_SIZE; j++) {
- int k = i * GRID_SIZE + j;
- cells[k] = inputPicture.submat(i * inputPicture.rows() / GRID_SIZE, (i + 1) * inputPicture.rows() / GRID_SIZE, j * inputPicture.cols()/ GRID_SIZE, (j + 1) * inputPicture.cols() / GRID_SIZE);
- }
- }
-
- rows = rows - rows%4;
- cols = cols - cols%4;
-
- // copy shuffled tiles
- for (int i = 0; i < GRID_AREA; i++) {
- int idx = mIndexes[i];
- if (idx == GRID_EMPTY_INDEX)
- mCells15[i].setTo(GRID_EMPTY_COLOR);
- else {
- cells[idx].copyTo(mCells15[i]);
- if (mShowTileNumbers) {
- Core.putText(mCells15[i], Integer.toString(1 + idx), new Point((cols / GRID_SIZE - mTextWidths[idx]) / 2,
- (rows / GRID_SIZE + mTextHeights[idx]) / 2), 3/* CV_FONT_HERSHEY_COMPLEX */, 1, new Scalar(255, 0, 0, 255), 2);
- }
- }
- }
-
- for (int i = 0; i < GRID_AREA; i++)
- cells[i].release();
-
- drawGrid(cols, rows, mRgba15);
-
- return mRgba15;
- }
-
- public void toggleTileNumbers() {
- mShowTileNumbers = !mShowTileNumbers;
- }
-
- public void deliverTouchEvent(int x, int y) {
- int rows = mRgba15.rows();
- int cols = mRgba15.cols();
-
- int row = (int) Math.floor(y * GRID_SIZE / rows);
- int col = (int) Math.floor(x * GRID_SIZE / cols);
-
- if (row < 0 || row >= GRID_SIZE || col < 0 || col >= GRID_SIZE) {
- Log.e(TAG, "It is not expected to get touch event outside of picture");
- return ;
- }
-
- int idx = row * GRID_SIZE + col;
- int idxtoswap = -1;
-
- // left
- if (idxtoswap < 0 && col > 0)
- if (mIndexes[idx - 1] == GRID_EMPTY_INDEX)
- idxtoswap = idx - 1;
- // right
- if (idxtoswap < 0 && col < GRID_SIZE - 1)
- if (mIndexes[idx + 1] == GRID_EMPTY_INDEX)
- idxtoswap = idx + 1;
- // top
- if (idxtoswap < 0 && row > 0)
- if (mIndexes[idx - GRID_SIZE] == GRID_EMPTY_INDEX)
- idxtoswap = idx - GRID_SIZE;
- // bottom
- if (idxtoswap < 0 && row < GRID_SIZE - 1)
- if (mIndexes[idx + GRID_SIZE] == GRID_EMPTY_INDEX)
- idxtoswap = idx + GRID_SIZE;
-
- // swap
- if (idxtoswap >= 0) {
- synchronized (this) {
- int touched = mIndexes[idx];
- mIndexes[idx] = mIndexes[idxtoswap];
- mIndexes[idxtoswap] = touched;
- }
- }
- }
-
- private void drawGrid(int cols, int rows, Mat drawMat) {
- for (int i = 1; i < GRID_SIZE; i++) {
- Core.line(drawMat, new Point(0, i * rows / GRID_SIZE), new Point(cols, i * rows / GRID_SIZE), new Scalar(0, 255, 0, 255), 3);
- Core.line(drawMat, new Point(i * cols / GRID_SIZE, 0), new Point(i * cols / GRID_SIZE, rows), new Scalar(0, 255, 0, 255), 3);
- }
- }
-
- private static void shuffle(int[] array) {
- for (int i = array.length; i > 1; i--) {
- int temp = array[i - 1];
- int randIx = (int) (Math.random() * i);
- array[i - 1] = array[randIx];
- array[randIx] = temp;
- }
- }
-
- private boolean isPuzzleSolvable() {
-
- int sum = 0;
- for (int i = 0; i < GRID_AREA; i++) {
- if (mIndexes[i] == GRID_EMPTY_INDEX)
- sum += (i / GRID_SIZE) + 1;
- else {
- int smaller = 0;
- for (int j = i + 1; j < GRID_AREA; j++) {
- if (mIndexes[j] < mIndexes[i])
- smaller++;
- }
- sum += smaller;
- }
- }
- return sum % 2 == 0;
- }
-}
diff --git a/samples/android/color-blob-detection/.classpath b/samples/android/color-blob-detection/.classpath
deleted file mode 100644
index 3f9691c5d..000000000
--- a/samples/android/color-blob-detection/.classpath
+++ /dev/null
@@ -1,8 +0,0 @@
-
-
-
-
-
-
-
-
diff --git a/samples/android/color-blob-detection/.project b/samples/android/color-blob-detection/.project
deleted file mode 100644
index c86365259..000000000
--- a/samples/android/color-blob-detection/.project
+++ /dev/null
@@ -1,33 +0,0 @@
-
-
- OpenCV Sample - color-blob-detection
-
-
-
-
-
- com.android.ide.eclipse.adt.ResourceManagerBuilder
-
-
-
-
- com.android.ide.eclipse.adt.PreCompilerBuilder
-
-
-
-
- org.eclipse.jdt.core.javabuilder
-
-
-
-
- com.android.ide.eclipse.adt.ApkBuilder
-
-
-
-
-
- com.android.ide.eclipse.adt.AndroidNature
- org.eclipse.jdt.core.javanature
-
-
diff --git a/samples/android/color-blob-detection/.settings/org.eclipse.jdt.core.prefs b/samples/android/color-blob-detection/.settings/org.eclipse.jdt.core.prefs
deleted file mode 100644
index b080d2ddc..000000000
--- a/samples/android/color-blob-detection/.settings/org.eclipse.jdt.core.prefs
+++ /dev/null
@@ -1,4 +0,0 @@
-eclipse.preferences.version=1
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
-org.eclipse.jdt.core.compiler.compliance=1.6
-org.eclipse.jdt.core.compiler.source=1.6
diff --git a/samples/android/color-blob-detection/AndroidManifest.xml b/samples/android/color-blob-detection/AndroidManifest.xml
deleted file mode 100644
index d322ba27d..000000000
--- a/samples/android/color-blob-detection/AndroidManifest.xml
+++ /dev/null
@@ -1,38 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/color-blob-detection/CMakeLists.txt b/samples/android/color-blob-detection/CMakeLists.txt
deleted file mode 100644
index 400db29ce..000000000
--- a/samples/android/color-blob-detection/CMakeLists.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-set(sample example-color-blob-detection)
-
-add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET})
-if(TARGET ${sample})
- add_dependencies(opencv_android_examples ${sample})
-endif()
-
diff --git a/samples/android/color-blob-detection/res/drawable/icon.png b/samples/android/color-blob-detection/res/drawable/icon.png
deleted file mode 100644
index 630454927..000000000
Binary files a/samples/android/color-blob-detection/res/drawable/icon.png and /dev/null differ
diff --git a/samples/android/color-blob-detection/res/layout/color_blob_detection_surface_view.xml b/samples/android/color-blob-detection/res/layout/color_blob_detection_surface_view.xml
deleted file mode 100644
index 94531a60d..000000000
--- a/samples/android/color-blob-detection/res/layout/color_blob_detection_surface_view.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-
-
-
-
-
diff --git a/samples/android/color-blob-detection/res/values/strings.xml b/samples/android/color-blob-detection/res/values/strings.xml
deleted file mode 100644
index 5b6f2c163..000000000
--- a/samples/android/color-blob-detection/res/values/strings.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-
-
- OCV Color Blob Detection
-
\ No newline at end of file
diff --git a/samples/android/color-blob-detection/src/org/opencv/samples/colorblobdetect/ColorBlobDetectionActivity.java b/samples/android/color-blob-detection/src/org/opencv/samples/colorblobdetect/ColorBlobDetectionActivity.java
deleted file mode 100644
index 0799df26d..000000000
--- a/samples/android/color-blob-detection/src/org/opencv/samples/colorblobdetect/ColorBlobDetectionActivity.java
+++ /dev/null
@@ -1,190 +0,0 @@
-package org.opencv.samples.colorblobdetect;
-
-import java.util.List;
-
-import org.opencv.android.BaseLoaderCallback;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
-import org.opencv.android.LoaderCallbackInterface;
-import org.opencv.android.OpenCVLoader;
-import org.opencv.core.Core;
-import org.opencv.core.CvType;
-import org.opencv.core.Mat;
-import org.opencv.core.MatOfPoint;
-import org.opencv.core.Rect;
-import org.opencv.core.Scalar;
-import org.opencv.core.Size;
-import org.opencv.android.CameraBridgeViewBase;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
-import org.opencv.imgproc.Imgproc;
-
-import android.app.Activity;
-import android.os.Bundle;
-import android.util.Log;
-import android.view.MotionEvent;
-import android.view.View;
-import android.view.Window;
-import android.view.WindowManager;
-import android.view.View.OnTouchListener;
-
-public class ColorBlobDetectionActivity extends Activity implements OnTouchListener, CvCameraViewListener2 {
- private static final String TAG = "OCVSample::Activity";
-
- private boolean mIsColorSelected = false;
- private Mat mRgba;
- private Scalar mBlobColorRgba;
- private Scalar mBlobColorHsv;
- private ColorBlobDetector mDetector;
- private Mat mSpectrum;
- private Size SPECTRUM_SIZE;
- private Scalar CONTOUR_COLOR;
-
- private CameraBridgeViewBase mOpenCvCameraView;
-
- private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
- @Override
- public void onManagerConnected(int status) {
- switch (status) {
- case LoaderCallbackInterface.SUCCESS:
- {
- Log.i(TAG, "OpenCV loaded successfully");
- mOpenCvCameraView.enableView();
- mOpenCvCameraView.setOnTouchListener(ColorBlobDetectionActivity.this);
- } break;
- default:
- {
- super.onManagerConnected(status);
- } break;
- }
- }
- };
-
- public ColorBlobDetectionActivity() {
- Log.i(TAG, "Instantiated new " + this.getClass());
- }
-
- /** Called when the activity is first created. */
- @Override
- public void onCreate(Bundle savedInstanceState) {
- Log.i(TAG, "called onCreate");
- super.onCreate(savedInstanceState);
- requestWindowFeature(Window.FEATURE_NO_TITLE);
- getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
-
- setContentView(R.layout.color_blob_detection_surface_view);
-
- mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.color_blob_detection_activity_surface_view);
- mOpenCvCameraView.setCvCameraViewListener(this);
- }
-
- @Override
- public void onPause()
- {
- super.onPause();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- @Override
- public void onResume()
- {
- super.onResume();
- OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
- }
-
- public void onDestroy() {
- super.onDestroy();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- public void onCameraViewStarted(int width, int height) {
- mRgba = new Mat(height, width, CvType.CV_8UC4);
- mDetector = new ColorBlobDetector();
- mSpectrum = new Mat();
- mBlobColorRgba = new Scalar(255);
- mBlobColorHsv = new Scalar(255);
- SPECTRUM_SIZE = new Size(200, 64);
- CONTOUR_COLOR = new Scalar(255,0,0,255);
- }
-
- public void onCameraViewStopped() {
- mRgba.release();
- }
-
- public boolean onTouch(View v, MotionEvent event) {
- int cols = mRgba.cols();
- int rows = mRgba.rows();
-
- int xOffset = (mOpenCvCameraView.getWidth() - cols) / 2;
- int yOffset = (mOpenCvCameraView.getHeight() - rows) / 2;
-
- int x = (int)event.getX() - xOffset;
- int y = (int)event.getY() - yOffset;
-
- Log.i(TAG, "Touch image coordinates: (" + x + ", " + y + ")");
-
- if ((x < 0) || (y < 0) || (x > cols) || (y > rows)) return false;
-
- Rect touchedRect = new Rect();
-
- touchedRect.x = (x>4) ? x-4 : 0;
- touchedRect.y = (y>4) ? y-4 : 0;
-
- touchedRect.width = (x+4 < cols) ? x + 4 - touchedRect.x : cols - touchedRect.x;
- touchedRect.height = (y+4 < rows) ? y + 4 - touchedRect.y : rows - touchedRect.y;
-
- Mat touchedRegionRgba = mRgba.submat(touchedRect);
-
- Mat touchedRegionHsv = new Mat();
- Imgproc.cvtColor(touchedRegionRgba, touchedRegionHsv, Imgproc.COLOR_RGB2HSV_FULL);
-
- // Calculate average color of touched region
- mBlobColorHsv = Core.sumElems(touchedRegionHsv);
- int pointCount = touchedRect.width*touchedRect.height;
- for (int i = 0; i < mBlobColorHsv.val.length; i++)
- mBlobColorHsv.val[i] /= pointCount;
-
- mBlobColorRgba = converScalarHsv2Rgba(mBlobColorHsv);
-
- Log.i(TAG, "Touched rgba color: (" + mBlobColorRgba.val[0] + ", " + mBlobColorRgba.val[1] +
- ", " + mBlobColorRgba.val[2] + ", " + mBlobColorRgba.val[3] + ")");
-
- mDetector.setHsvColor(mBlobColorHsv);
-
- Imgproc.resize(mDetector.getSpectrum(), mSpectrum, SPECTRUM_SIZE);
-
- mIsColorSelected = true;
-
- touchedRegionRgba.release();
- touchedRegionHsv.release();
-
- return false; // don't need subsequent touch events
- }
-
- public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
- mRgba = inputFrame.rgba();
-
- if (mIsColorSelected) {
- mDetector.process(mRgba);
- List contours = mDetector.getContours();
- Log.e(TAG, "Contours count: " + contours.size());
- Core.drawContours(mRgba, contours, -1, CONTOUR_COLOR);
-
- Mat colorLabel = mRgba.submat(4, 68, 4, 68);
- colorLabel.setTo(mBlobColorRgba);
-
- Mat spectrumLabel = mRgba.submat(4, 4 + mSpectrum.rows(), 70, 70 + mSpectrum.cols());
- mSpectrum.copyTo(spectrumLabel);
- }
-
- return mRgba;
- }
-
- private Scalar converScalarHsv2Rgba(Scalar hsvColor) {
- Mat pointMatRgba = new Mat();
- Mat pointMatHsv = new Mat(1, 1, CvType.CV_8UC3, hsvColor);
- Imgproc.cvtColor(pointMatHsv, pointMatRgba, Imgproc.COLOR_HSV2RGB_FULL, 4);
-
- return new Scalar(pointMatRgba.get(0, 0));
- }
-}
\ No newline at end of file
diff --git a/samples/android/color-blob-detection/src/org/opencv/samples/colorblobdetect/ColorBlobDetector.java b/samples/android/color-blob-detection/src/org/opencv/samples/colorblobdetect/ColorBlobDetector.java
deleted file mode 100644
index 21988a81a..000000000
--- a/samples/android/color-blob-detection/src/org/opencv/samples/colorblobdetect/ColorBlobDetector.java
+++ /dev/null
@@ -1,108 +0,0 @@
-package org.opencv.samples.colorblobdetect;
-
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-
-import org.opencv.core.Core;
-import org.opencv.core.CvType;
-import org.opencv.core.Mat;
-import org.opencv.core.MatOfPoint;
-import org.opencv.core.Scalar;
-import org.opencv.imgproc.Imgproc;
-
-public class ColorBlobDetector {
- // Lower and Upper bounds for range checking in HSV color space
- private Scalar mLowerBound = new Scalar(0);
- private Scalar mUpperBound = new Scalar(0);
- // Minimum contour area in percent for contours filtering
- private static double mMinContourArea = 0.1;
- // Color radius for range checking in HSV color space
- private Scalar mColorRadius = new Scalar(25,50,50,0);
- private Mat mSpectrum = new Mat();
- private List mContours = new ArrayList();
-
- // Cache
- Mat mPyrDownMat = new Mat();
- Mat mHsvMat = new Mat();
- Mat mMask = new Mat();
- Mat mDilatedMask = new Mat();
- Mat mHierarchy = new Mat();
-
- public void setColorRadius(Scalar radius) {
- mColorRadius = radius;
- }
-
- public void setHsvColor(Scalar hsvColor) {
- double minH = (hsvColor.val[0] >= mColorRadius.val[0]) ? hsvColor.val[0]-mColorRadius.val[0] : 0;
- double maxH = (hsvColor.val[0]+mColorRadius.val[0] <= 255) ? hsvColor.val[0]+mColorRadius.val[0] : 255;
-
- mLowerBound.val[0] = minH;
- mUpperBound.val[0] = maxH;
-
- mLowerBound.val[1] = hsvColor.val[1] - mColorRadius.val[1];
- mUpperBound.val[1] = hsvColor.val[1] + mColorRadius.val[1];
-
- mLowerBound.val[2] = hsvColor.val[2] - mColorRadius.val[2];
- mUpperBound.val[2] = hsvColor.val[2] + mColorRadius.val[2];
-
- mLowerBound.val[3] = 0;
- mUpperBound.val[3] = 255;
-
- Mat spectrumHsv = new Mat(1, (int)(maxH-minH), CvType.CV_8UC3);
-
- for (int j = 0; j < maxH-minH; j++) {
- byte[] tmp = {(byte)(minH+j), (byte)255, (byte)255};
- spectrumHsv.put(0, j, tmp);
- }
-
- Imgproc.cvtColor(spectrumHsv, mSpectrum, Imgproc.COLOR_HSV2RGB_FULL, 4);
- }
-
- public Mat getSpectrum() {
- return mSpectrum;
- }
-
- public void setMinContourArea(double area) {
- mMinContourArea = area;
- }
-
- public void process(Mat rgbaImage) {
- Imgproc.pyrDown(rgbaImage, mPyrDownMat);
- Imgproc.pyrDown(mPyrDownMat, mPyrDownMat);
-
- Imgproc.cvtColor(mPyrDownMat, mHsvMat, Imgproc.COLOR_RGB2HSV_FULL);
-
- Core.inRange(mHsvMat, mLowerBound, mUpperBound, mMask);
- Imgproc.dilate(mMask, mDilatedMask, new Mat());
-
- List contours = new ArrayList();
-
- Imgproc.findContours(mDilatedMask, contours, mHierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
-
- // Find max contour area
- double maxArea = 0;
- Iterator each = contours.iterator();
- while (each.hasNext()) {
- MatOfPoint wrapper = each.next();
- double area = Imgproc.contourArea(wrapper);
- if (area > maxArea)
- maxArea = area;
- }
-
- // Filter contours by area and resize to fit the original image size
- mContours.clear();
- each = contours.iterator();
- while (each.hasNext()) {
- MatOfPoint contour = each.next();
- if (Imgproc.contourArea(contour) > mMinContourArea*maxArea) {
- Core.multiply(contour, new Scalar(4,4), contour);
- mContours.add(contour);
- }
- }
- }
-
- public List getContours() {
- return mContours;
- }
-}
diff --git a/samples/android/face-detection/.classpath b/samples/android/face-detection/.classpath
deleted file mode 100644
index 3f9691c5d..000000000
--- a/samples/android/face-detection/.classpath
+++ /dev/null
@@ -1,8 +0,0 @@
-
-
-
-
-
-
-
-
diff --git a/samples/android/face-detection/.cproject b/samples/android/face-detection/.cproject
deleted file mode 100644
index f57ae9006..000000000
--- a/samples/android/face-detection/.cproject
+++ /dev/null
@@ -1,75 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/face-detection/.project b/samples/android/face-detection/.project
deleted file mode 100644
index 4cb4e8f64..000000000
--- a/samples/android/face-detection/.project
+++ /dev/null
@@ -1,101 +0,0 @@
-
-
- OpenCV Sample - face-detection
-
-
-
-
-
- org.eclipse.cdt.managedbuilder.core.genmakebuilder
- auto,full,incremental,
-
-
- ?name?
-
-
-
- org.eclipse.cdt.make.core.append_environment
- true
-
-
- org.eclipse.cdt.make.core.autoBuildTarget
-
-
-
- org.eclipse.cdt.make.core.buildArguments
-
-
-
- org.eclipse.cdt.make.core.buildCommand
- ${NDKROOT}/ndk-build.cmd
-
-
- org.eclipse.cdt.make.core.cleanBuildTarget
- clean
-
-
- org.eclipse.cdt.make.core.contents
- org.eclipse.cdt.make.core.activeConfigSettings
-
-
- org.eclipse.cdt.make.core.enableAutoBuild
- true
-
-
- org.eclipse.cdt.make.core.enableCleanBuild
- false
-
-
- org.eclipse.cdt.make.core.enableFullBuild
- true
-
-
- org.eclipse.cdt.make.core.fullBuildTarget
-
-
-
- org.eclipse.cdt.make.core.stopOnError
- true
-
-
- org.eclipse.cdt.make.core.useDefaultBuildCmd
- false
-
-
-
-
- com.android.ide.eclipse.adt.ResourceManagerBuilder
-
-
-
-
- com.android.ide.eclipse.adt.PreCompilerBuilder
-
-
-
-
- org.eclipse.jdt.core.javabuilder
-
-
-
-
- com.android.ide.eclipse.adt.ApkBuilder
-
-
-
-
- org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder
- full,incremental,
-
-
-
-
-
- com.android.ide.eclipse.adt.AndroidNature
- org.eclipse.jdt.core.javanature
- org.eclipse.cdt.core.cnature
- org.eclipse.cdt.core.ccnature
- org.eclipse.cdt.managedbuilder.core.managedBuildNature
- org.eclipse.cdt.managedbuilder.core.ScannerConfigNature
-
-
diff --git a/samples/android/face-detection/.settings/org.eclipse.jdt.core.prefs b/samples/android/face-detection/.settings/org.eclipse.jdt.core.prefs
deleted file mode 100644
index b080d2ddc..000000000
--- a/samples/android/face-detection/.settings/org.eclipse.jdt.core.prefs
+++ /dev/null
@@ -1,4 +0,0 @@
-eclipse.preferences.version=1
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
-org.eclipse.jdt.core.compiler.compliance=1.6
-org.eclipse.jdt.core.compiler.source=1.6
diff --git a/samples/android/face-detection/AndroidManifest.xml b/samples/android/face-detection/AndroidManifest.xml
deleted file mode 100644
index bcbb34de3..000000000
--- a/samples/android/face-detection/AndroidManifest.xml
+++ /dev/null
@@ -1,38 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/face-detection/CMakeLists.txt b/samples/android/face-detection/CMakeLists.txt
deleted file mode 100644
index 70658a799..000000000
--- a/samples/android/face-detection/CMakeLists.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-set(sample example-face-detection)
-
-if(BUILD_FAT_JAVA_LIB)
- set(native_deps opencv_java)
-else()
- set(native_deps opencv_contrib)
-endif()
-
-add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET} NATIVE_DEPS ${native_deps})
-if(TARGET ${sample})
- add_dependencies(opencv_android_examples ${sample})
-endif()
-
diff --git a/samples/android/face-detection/jni/Android.mk b/samples/android/face-detection/jni/Android.mk
deleted file mode 100644
index e6db280c1..000000000
--- a/samples/android/face-detection/jni/Android.mk
+++ /dev/null
@@ -1,16 +0,0 @@
-LOCAL_PATH := $(call my-dir)
-
-include $(CLEAR_VARS)
-
-#OPENCV_CAMERA_MODULES:=off
-#OPENCV_INSTALL_MODULES:=off
-#OPENCV_LIB_TYPE:=SHARED
-include ../../sdk/native/jni/OpenCV.mk
-
-LOCAL_SRC_FILES := DetectionBasedTracker_jni.cpp
-LOCAL_C_INCLUDES += $(LOCAL_PATH)
-LOCAL_LDLIBS += -llog -ldl
-
-LOCAL_MODULE := detection_based_tracker
-
-include $(BUILD_SHARED_LIBRARY)
\ No newline at end of file
diff --git a/samples/android/face-detection/jni/Application.mk b/samples/android/face-detection/jni/Application.mk
deleted file mode 100644
index 4fffcb283..000000000
--- a/samples/android/face-detection/jni/Application.mk
+++ /dev/null
@@ -1,4 +0,0 @@
-APP_STL := gnustl_static
-APP_CPPFLAGS := -frtti -fexceptions
-APP_ABI := armeabi-v7a
-APP_PLATFORM := android-8
diff --git a/samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp b/samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp
deleted file mode 100644
index e0e53e370..000000000
--- a/samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp
+++ /dev/null
@@ -1,249 +0,0 @@
-#include
-#include
-#include
-
-#include
-#include
-
-#include
-
-#define LOG_TAG "FaceDetection/DetectionBasedTracker"
-#define LOGD(...) ((void)__android_log_print(ANDROID_LOG_DEBUG, LOG_TAG, __VA_ARGS__))
-
-using namespace std;
-using namespace cv;
-
-inline void vector_Rect_to_Mat(vector& v_rect, Mat& mat)
-{
- mat = Mat(v_rect, true);
-}
-
-class CascadeDetectorAdapter: public DetectionBasedTracker::IDetector
-{
-public:
- CascadeDetectorAdapter(cv::Ptr detector):
- IDetector(),
- Detector(detector)
- {
- LOGD("CascadeDetectorAdapter::Detect::Detect");
- CV_Assert(!detector.empty());
- }
-
- void detect(const cv::Mat &Image, std::vector &objects)
- {
- LOGD("CascadeDetectorAdapter::Detect: begin");
- LOGD("CascadeDetectorAdapter::Detect: scaleFactor=%.2f, minNeighbours=%d, minObjSize=(%dx%d), maxObjSize=(%dx%d)", scaleFactor, minNeighbours, minObjSize.width, minObjSize.height, maxObjSize.width, maxObjSize.height);
- Detector->detectMultiScale(Image, objects, scaleFactor, minNeighbours, 0, minObjSize, maxObjSize);
- LOGD("CascadeDetectorAdapter::Detect: end");
- }
-
- virtual ~CascadeDetectorAdapter()
- {
- LOGD("CascadeDetectorAdapter::Detect::~Detect");
- }
-
-private:
- CascadeDetectorAdapter();
- cv::Ptr Detector;
-};
-
-struct DetectorAgregator
-{
- cv::Ptr mainDetector;
- cv::Ptr trackingDetector;
-
- cv::Ptr tracker;
- DetectorAgregator(cv::Ptr& _mainDetector, cv::Ptr& _trackingDetector):
- mainDetector(_mainDetector),
- trackingDetector(_trackingDetector)
- {
- CV_Assert(!_mainDetector.empty());
- CV_Assert(!_trackingDetector.empty());
-
- DetectionBasedTracker::Parameters DetectorParams;
- tracker = new DetectionBasedTracker(mainDetector.ptr(), trackingDetector.ptr(), DetectorParams);
- }
-};
-
-JNIEXPORT jlong JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeCreateObject
-(JNIEnv * jenv, jclass, jstring jFileName, jint faceSize)
-{
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeCreateObject enter");
- const char* jnamestr = jenv->GetStringUTFChars(jFileName, NULL);
- string stdFileName(jnamestr);
- jlong result = 0;
-
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeCreateObject");
-
- try
- {
- cv::Ptr mainDetector = new CascadeDetectorAdapter(new CascadeClassifier(stdFileName));
- cv::Ptr trackingDetector = new CascadeDetectorAdapter(new CascadeClassifier(stdFileName));
- result = (jlong)new DetectorAgregator(mainDetector, trackingDetector);
- if (faceSize > 0)
- {
- mainDetector->setMinObjectSize(Size(faceSize, faceSize));
- //trackingDetector->setMinObjectSize(Size(faceSize, faceSize));
- }
- }
- catch(cv::Exception& e)
- {
- LOGD("nativeCreateObject caught cv::Exception: %s", e.what());
- jclass je = jenv->FindClass("org/opencv/core/CvException");
- if(!je)
- je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, e.what());
- }
- catch (...)
- {
- LOGD("nativeCreateObject caught unknown exception");
- jclass je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeCreateObject(...)}");
- return 0;
- }
-
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeCreateObject exit");
- return result;
-}
-
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDestroyObject
-(JNIEnv * jenv, jclass, jlong thiz)
-{
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDestroyObject");
-
- try
- {
- if(thiz != 0)
- {
- ((DetectorAgregator*)thiz)->tracker->stop();
- delete (DetectorAgregator*)thiz;
- }
- }
- catch(cv::Exception& e)
- {
- LOGD("nativeestroyObject caught cv::Exception: %s", e.what());
- jclass je = jenv->FindClass("org/opencv/core/CvException");
- if(!je)
- je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, e.what());
- }
- catch (...)
- {
- LOGD("nativeDestroyObject caught unknown exception");
- jclass je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDestroyObject(...)}");
- }
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDestroyObject exit");
-}
-
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStart
-(JNIEnv * jenv, jclass, jlong thiz)
-{
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStart");
-
- try
- {
- ((DetectorAgregator*)thiz)->tracker->run();
- }
- catch(cv::Exception& e)
- {
- LOGD("nativeStart caught cv::Exception: %s", e.what());
- jclass je = jenv->FindClass("org/opencv/core/CvException");
- if(!je)
- je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, e.what());
- }
- catch (...)
- {
- LOGD("nativeStart caught unknown exception");
- jclass je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStart(...)}");
- }
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStart exit");
-}
-
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStop
-(JNIEnv * jenv, jclass, jlong thiz)
-{
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStop");
-
- try
- {
- ((DetectorAgregator*)thiz)->tracker->stop();
- }
- catch(cv::Exception& e)
- {
- LOGD("nativeStop caught cv::Exception: %s", e.what());
- jclass je = jenv->FindClass("org/opencv/core/CvException");
- if(!je)
- je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, e.what());
- }
- catch (...)
- {
- LOGD("nativeStop caught unknown exception");
- jclass je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStop(...)}");
- }
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStop exit");
-}
-
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeSetFaceSize
-(JNIEnv * jenv, jclass, jlong thiz, jint faceSize)
-{
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeSetFaceSize -- BEGIN");
-
- try
- {
- if (faceSize > 0)
- {
- ((DetectorAgregator*)thiz)->mainDetector->setMinObjectSize(Size(faceSize, faceSize));
- //((DetectorAgregator*)thiz)->trackingDetector->setMinObjectSize(Size(faceSize, faceSize));
- }
- }
- catch(cv::Exception& e)
- {
- LOGD("nativeStop caught cv::Exception: %s", e.what());
- jclass je = jenv->FindClass("org/opencv/core/CvException");
- if(!je)
- je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, e.what());
- }
- catch (...)
- {
- LOGD("nativeSetFaceSize caught unknown exception");
- jclass je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeSetFaceSize(...)}");
- }
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeSetFaceSize -- END");
-}
-
-
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDetect
-(JNIEnv * jenv, jclass, jlong thiz, jlong imageGray, jlong faces)
-{
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDetect");
-
- try
- {
- vector RectFaces;
- ((DetectorAgregator*)thiz)->tracker->process(*((Mat*)imageGray));
- ((DetectorAgregator*)thiz)->tracker->getObjects(RectFaces);
- *((Mat*)faces) = Mat(RectFaces, true);
- }
- catch(cv::Exception& e)
- {
- LOGD("nativeCreateObject caught cv::Exception: %s", e.what());
- jclass je = jenv->FindClass("org/opencv/core/CvException");
- if(!je)
- je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, e.what());
- }
- catch (...)
- {
- LOGD("nativeDetect caught unknown exception");
- jclass je = jenv->FindClass("java/lang/Exception");
- jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDetect(...)}");
- }
- LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDetect END");
-}
diff --git a/samples/android/face-detection/jni/DetectionBasedTracker_jni.h b/samples/android/face-detection/jni/DetectionBasedTracker_jni.h
deleted file mode 100644
index 7e0541d81..000000000
--- a/samples/android/face-detection/jni/DetectionBasedTracker_jni.h
+++ /dev/null
@@ -1,61 +0,0 @@
-/* DO NOT EDIT THIS FILE - it is machine generated */
-#include
-/* Header for class org_opencv_samples_fd_DetectionBasedTracker */
-
-#ifndef _Included_org_opencv_samples_fd_DetectionBasedTracker
-#define _Included_org_opencv_samples_fd_DetectionBasedTracker
-#ifdef __cplusplus
-extern "C" {
-#endif
-/*
- * Class: org_opencv_samples_fd_DetectionBasedTracker
- * Method: nativeCreateObject
- * Signature: (Ljava/lang/String;F)J
- */
-JNIEXPORT jlong JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeCreateObject
- (JNIEnv *, jclass, jstring, jint);
-
-/*
- * Class: org_opencv_samples_fd_DetectionBasedTracker
- * Method: nativeDestroyObject
- * Signature: (J)V
- */
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDestroyObject
- (JNIEnv *, jclass, jlong);
-
-/*
- * Class: org_opencv_samples_fd_DetectionBasedTracker
- * Method: nativeStart
- * Signature: (J)V
- */
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStart
- (JNIEnv *, jclass, jlong);
-
-/*
- * Class: org_opencv_samples_fd_DetectionBasedTracker
- * Method: nativeStop
- * Signature: (J)V
- */
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeStop
- (JNIEnv *, jclass, jlong);
-
- /*
- * Class: org_opencv_samples_fd_DetectionBasedTracker
- * Method: nativeSetFaceSize
- * Signature: (JI)V
- */
- JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeSetFaceSize
- (JNIEnv *, jclass, jlong, jint);
-
-/*
- * Class: org_opencv_samples_fd_DetectionBasedTracker
- * Method: nativeDetect
- * Signature: (JJJ)V
- */
-JNIEXPORT void JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeDetect
- (JNIEnv *, jclass, jlong, jlong, jlong);
-
-#ifdef __cplusplus
-}
-#endif
-#endif
diff --git a/samples/android/face-detection/res/drawable/icon.png b/samples/android/face-detection/res/drawable/icon.png
deleted file mode 100644
index 630454927..000000000
Binary files a/samples/android/face-detection/res/drawable/icon.png and /dev/null differ
diff --git a/samples/android/face-detection/res/layout/face_detect_surface_view.xml b/samples/android/face-detection/res/layout/face_detect_surface_view.xml
deleted file mode 100644
index 68d8fb4ec..000000000
--- a/samples/android/face-detection/res/layout/face_detect_surface_view.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-
-
-
-
-
diff --git a/samples/android/face-detection/res/raw/lbpcascade_frontalface.xml b/samples/android/face-detection/res/raw/lbpcascade_frontalface.xml
deleted file mode 100644
index fc7648ef5..000000000
--- a/samples/android/face-detection/res/raw/lbpcascade_frontalface.xml
+++ /dev/null
@@ -1,1505 +0,0 @@
-
-
-
-
- BOOST
- LBP
- 24
- 24
-
- GAB
- 0.9950000047683716
- 0.5000000000000000
- 0.9500000000000000
- 1
- 100
-
- 256
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- -923011069 -2135301457 -2066104743 -1042557441
-
- -0.4008397758007050 0.4034757018089294
-
- <_>
-
- 0 -1 101 -627353764 -48295149 1581203952 -436258614
- -105268268 -1435893445 -638126888 -1061107126
-
- -0.5694189667701721 0.2964762747287750
-
- <_>
-
- 0 -1 118 -8399181 1058107691 -621022752 -251003468 -12582915
- -574619739 -994397789 -1648362021
-
- -0.3195341229438782 0.5294018983840942
-
- <_>
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- 0 -1 92 -348343812 -1078389516 1717960437 364735981
- -1783841602 -4883137 -457572354 -1076950384
-
- -0.3365339040756226 0.5067458748817444
-
- <_>
- 10
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-
-
- <_>
-
- 0 -1 10 -1976661318 -287957604 -1659497122 -782068 43591089
- -453637880 1435470000 -1077438561
-
- -0.4204545319080353 0.5165745615959168
-
- <_>
-
- 0 -1 131 -67110925 14874979 -142633168 -1338923040
- 2046713291 -2067933195 1473503712 -789579837
-
- -0.3762553930282593 0.4075302779674530
-
- <_>
-
- 0 -1 83 -272814301 -1577073 -1118685 -305156120 -1052289
- -1073813756 -538971154 -355523038
-
- -0.4253497421741486 0.3728055357933044
-
- <_>
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- 0 -1 135 -2233 -214486242 -538514758 573747007 -159390971
- 1994225489 -973738098 -203424005
-
- -0.3601998090744019 0.4563256204128265
-
- <_>
-
- 0 -1 115 -261031688 -1330369299 -641860609 1029570301
- -1306461192 -1196149518 -1529767778 683139823
-
- -0.4034293889999390 0.4160816967487335
-
- <_>
-
- 0 -1 64 -572993608 -34042628 -417865 -111109 -1433365268
- -19869715 -1920939864 -1279457063
-
- -0.3620899617671967 0.4594142735004425
-
- <_>
-
- 0 -1 36 -626275097 -615256993 1651946018 805366393
- 2016559730 -430780849 -799868165 -16580645
-
- -0.3903816640377045 0.4381459355354309
-
- <_>
-
- 0 -1 93 1354797300 -1090957603 1976418270 -1342502178
- -1851873892 -1194637077 -1153521668 -1108399474
-
- -0.3591445386409760 0.4624078869819641
-
- <_>
-
- 0 -1 91 68157712 1211368313 -304759523 1063017136 798797750
- -275513546 648167355 -1145357350
-
- -0.4297670423984528 0.4023293554782867
-
- <_>
-
- 0 -1 107 -546318240 -1628569602 -163577944 -537002306
- -545456389 -1325465645 -380446736 -1058473386
-
- -0.5727006793022156 0.2995934784412384
-
- <_>
-
- 0 0 3 5
- <_>
-
- 0 0 4 2
- <_>
-
- 0 0 6 3
- <_>
-
- 0 1 2 3
- <_>
-
- 0 1 3 3
- <_>
-
- 0 1 3 7
- <_>
-
- 0 4 3 3
- <_>
-
- 0 11 3 4
- <_>
-
- 0 12 8 4
- <_>
-
- 0 14 4 3
- <_>
-
- 1 0 5 3
- <_>
-
- 1 1 2 2
- <_>
-
- 1 3 3 1
- <_>
-
- 1 7 4 4
- <_>
-
- 1 12 2 2
- <_>
-
- 1 13 4 1
- <_>
-
- 1 14 4 3
- <_>
-
- 1 17 3 2
- <_>
-
- 2 0 2 3
- <_>
-
- 2 1 2 2
- <_>
-
- 2 2 4 6
- <_>
-
- 2 3 4 4
- <_>
-
- 2 7 2 1
- <_>
-
- 2 11 2 3
- <_>
-
- 2 17 3 2
- <_>
-
- 3 0 2 2
- <_>
-
- 3 1 7 3
- <_>
-
- 3 7 2 1
- <_>
-
- 3 7 2 4
- <_>
-
- 3 18 2 2
- <_>
-
- 4 0 2 3
- <_>
-
- 4 3 2 1
- <_>
-
- 4 6 2 1
- <_>
-
- 4 6 2 5
- <_>
-
- 4 7 5 2
- <_>
-
- 4 8 4 3
- <_>
-
- 4 18 2 2
- <_>
-
- 5 0 2 2
- <_>
-
- 5 3 4 4
- <_>
-
- 5 6 2 5
- <_>
-
- 5 9 2 2
- <_>
-
- 5 10 2 2
- <_>
-
- 6 3 4 4
- <_>
-
- 6 4 4 3
- <_>
-
- 6 5 2 3
- <_>
-
- 6 5 2 5
- <_>
-
- 6 5 4 3
- <_>
-
- 6 6 4 2
- <_>
-
- 6 6 4 4
- <_>
-
- 6 18 1 2
- <_>
-
- 6 21 2 1
- <_>
-
- 7 0 3 7
- <_>
-
- 7 4 2 3
- <_>
-
- 7 9 5 1
- <_>
-
- 7 21 2 1
- <_>
-
- 8 0 1 4
- <_>
-
- 8 5 2 2
- <_>
-
- 8 5 3 2
- <_>
-
- 8 17 3 1
- <_>
-
- 8 18 1 2
- <_>
-
- 9 0 5 3
- <_>
-
- 9 2 2 6
- <_>
-
- 9 5 1 1
- <_>
-
- 9 11 1 1
- <_>
-
- 9 16 1 1
- <_>
-
- 9 16 2 1
- <_>
-
- 9 17 1 1
- <_>
-
- 9 18 1 1
- <_>
-
- 10 5 1 2
- <_>
-
- 10 5 3 3
- <_>
-
- 10 7 1 5
- <_>
-
- 10 8 1 1
- <_>
-
- 10 9 1 1
- <_>
-
- 10 10 1 1
- <_>
-
- 10 10 1 2
- <_>
-
- 10 14 3 3
- <_>
-
- 10 15 1 1
- <_>
-
- 10 15 2 1
- <_>
-
- 10 16 1 1
- <_>
-
- 10 16 2 1
- <_>
-
- 10 17 1 1
- <_>
-
- 10 21 1 1
- <_>
-
- 11 3 2 2
- <_>
-
- 11 5 1 2
- <_>
-
- 11 5 3 3
- <_>
-
- 11 5 4 6
- <_>
-
- 11 6 1 1
- <_>
-
- 11 7 2 2
- <_>
-
- 11 8 1 2
- <_>
-
- 11 10 1 1
- <_>
-
- 11 10 1 2
- <_>
-
- 11 15 1 1
- <_>
-
- 11 17 1 1
- <_>
-
- 11 18 1 1
- <_>
-
- 12 0 2 2
- <_>
-
- 12 1 2 5
- <_>
-
- 12 2 4 1
- <_>
-
- 12 3 1 3
- <_>
-
- 12 7 3 4
- <_>
-
- 12 10 3 2
- <_>
-
- 12 11 1 1
- <_>
-
- 12 12 3 2
- <_>
-
- 12 14 4 3
- <_>
-
- 12 17 1 1
- <_>
-
- 12 21 2 1
- <_>
-
- 13 6 2 5
- <_>
-
- 13 7 3 5
- <_>
-
- 13 11 3 2
- <_>
-
- 13 17 2 2
- <_>
-
- 13 17 3 2
- <_>
-
- 13 18 1 2
- <_>
-
- 13 18 2 2
- <_>
-
- 14 0 2 2
- <_>
-
- 14 1 1 3
- <_>
-
- 14 2 3 2
- <_>
-
- 14 7 2 1
- <_>
-
- 14 13 2 1
- <_>
-
- 14 13 3 3
- <_>
-
- 14 17 2 2
- <_>
-
- 15 0 2 2
- <_>
-
- 15 0 2 3
- <_>
-
- 15 4 3 2
- <_>
-
- 15 4 3 6
- <_>
-
- 15 6 3 2
- <_>
-
- 15 11 3 4
- <_>
-
- 15 13 3 2
- <_>
-
- 15 17 2 2
- <_>
-
- 15 17 3 2
- <_>
-
- 16 1 2 3
- <_>
-
- 16 3 2 4
- <_>
-
- 16 6 1 1
- <_>
-
- 16 16 2 2
- <_>
-
- 17 1 2 2
- <_>
-
- 17 1 2 5
- <_>
-
- 17 12 2 2
- <_>
-
- 18 0 2 2
-
diff --git a/samples/android/face-detection/res/values/strings.xml b/samples/android/face-detection/res/values/strings.xml
deleted file mode 100644
index 476a9e036..000000000
--- a/samples/android/face-detection/res/values/strings.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-
-
- OCV Face Detection
-
diff --git a/samples/android/face-detection/src/org/opencv/samples/facedetect/DetectionBasedTracker.java b/samples/android/face-detection/src/org/opencv/samples/facedetect/DetectionBasedTracker.java
deleted file mode 100644
index 6179f1bdc..000000000
--- a/samples/android/face-detection/src/org/opencv/samples/facedetect/DetectionBasedTracker.java
+++ /dev/null
@@ -1,41 +0,0 @@
-package org.opencv.samples.facedetect;
-
-import org.opencv.core.Mat;
-import org.opencv.core.MatOfRect;
-
-public class DetectionBasedTracker
-{
- public DetectionBasedTracker(String cascadeName, int minFaceSize) {
- mNativeObj = nativeCreateObject(cascadeName, minFaceSize);
- }
-
- public void start() {
- nativeStart(mNativeObj);
- }
-
- public void stop() {
- nativeStop(mNativeObj);
- }
-
- public void setMinFaceSize(int size) {
- nativeSetFaceSize(mNativeObj, size);
- }
-
- public void detect(Mat imageGray, MatOfRect faces) {
- nativeDetect(mNativeObj, imageGray.getNativeObjAddr(), faces.getNativeObjAddr());
- }
-
- public void release() {
- nativeDestroyObject(mNativeObj);
- mNativeObj = 0;
- }
-
- private long mNativeObj = 0;
-
- private static native long nativeCreateObject(String cascadeName, int minFaceSize);
- private static native void nativeDestroyObject(long thiz);
- private static native void nativeStart(long thiz);
- private static native void nativeStop(long thiz);
- private static native void nativeSetFaceSize(long thiz, int size);
- private static native void nativeDetect(long thiz, long inputImage, long faces);
-}
diff --git a/samples/android/hello-android/CMakeLists.txt b/samples/android/hello-android/CMakeLists.txt
deleted file mode 100644
index 032d98369..000000000
--- a/samples/android/hello-android/CMakeLists.txt
+++ /dev/null
@@ -1,66 +0,0 @@
-CMAKE_MINIMUM_REQUIRED( VERSION 2.8 )
-
-#########################################################
-# Set project name
-#########################################################
-
-IF( NOT PROJECT_NAME )
- IF ( NOT "x$ENV{PROJECT_NAME}" STREQUAL "x" )
- SET( PROJECT_NAME $ENV{PROJECT_NAME} )
- ELSE()
- SET( PROJECT_NAME hello-android )
- ENDIF()
-ENDIF()
-SET( PROJECT_NAME ${PROJECT_NAME} CACHE STRING "The name of your project")
-
-PROJECT( ${PROJECT_NAME} )
-
-#########################################################
-# Find OpenCV
-#########################################################
-
-FIND_PACKAGE( OpenCV REQUIRED )
-
-#########################################################
-# c/c++ flags, includes and lib dependencies
-#########################################################
-
-#notice the "recycling" of CMAKE_C_FLAGS
-#this is necessary to pick up android flags
-SET( CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wall -pedantic" )
-SET( CMAKE_CPP_FLAGS "${CMAKE_CPP_FLAGS} -Wall -pedantic" )
-
-INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})
-
-SET( LIBRARY_DEPS ${OpenCV_LIBS} )
-IF( ANDROID )
- SET( LIBRARY_DEPS ${LIBRARY_DEPS} log dl )
-ENDIF()
-
-#########################################################
-# source files
-#########################################################
-
-FILE( GLOB hdrs "*.h*" )
-FILE( GLOB srcs "*.cpp" )
-
-ADD_EXECUTABLE( ${PROJECT_NAME} ${srcs} )
-TARGET_LINK_LIBRARIES( ${PROJECT_NAME} ${LIBRARY_DEPS} )
-
-#########################################################
-# Summary report
-#########################################################
-message( STATUS "")
-message( STATUS "General configuration for ${PROJECT_NAME} =====================================")
-message( STATUS "")
-message( STATUS " OpenCV path: ${OpenCV_DIR}")
-message( STATUS " Compiler: ${CMAKE_CXX_COMPILER}")
-message( STATUS " C++ flags (Release): ${CMAKE_CXX_FLAGS} ${CMAKE_CXX_FLAGS_RELEASE}")
-message( STATUS " C++ flags (Debug): ${CMAKE_CXX_FLAGS} ${CMAKE_CXX_FLAGS_DEBUG}")
-if(WIN32)
-message( STATUS " Linker flags (Release): ${CMAKE_EXE_LINKER_FLAGS} ${CMAKE_EXE_LINKER_FLAGS_RELEASE}")
-message( STATUS " Linker flags (Debug): ${CMAKE_EXE_LINKER_FLAGS} ${CMAKE_EXE_LINKER_FLAGS_DEBUG}")
-else()
-message( STATUS " Linker flags (Release): ${CMAKE_SHARED_LINKER_FLAGS} ${CMAKE_SHARED_LINKER_FLAGS_RELEASE}")
-message( STATUS " Linker flags (Debug): ${CMAKE_SHARED_LINKER_FLAGS} ${CMAKE_SHARED_LINKER_FLAGS_DEBUG}")
-endif()
diff --git a/samples/android/hello-android/cmake_android.cmd b/samples/android/hello-android/cmake_android.cmd
deleted file mode 100644
index 65a1461c2..000000000
--- a/samples/android/hello-android/cmake_android.cmd
+++ /dev/null
@@ -1,9 +0,0 @@
-@ECHO OFF
-SETLOCAL
-PUSHD %~dp0
-SET PROJECT_NAME=hello-android
-SET BUILD_DIR=build_armeabi
-SET ANDROID_ABI=armeabi
-CALL ..\..\..\android\scripts\build.cmd %*
-POPD
-ENDLOCAL
diff --git a/samples/android/hello-android/cmake_android.sh b/samples/android/hello-android/cmake_android.sh
deleted file mode 100755
index f233e302e..000000000
--- a/samples/android/hello-android/cmake_android.sh
+++ /dev/null
@@ -1,13 +0,0 @@
-#!/bin/sh
-cd `dirname $0`
-
-BUILD_DIR=build_armeabi
-opencv_android=`pwd`/../../../android
-opencv_build_dir=$opencv_android/$BUILD_DIR
-
-mkdir -p $BUILD_DIR
-cd $BUILD_DIR
-
-RUN_CMAKE="cmake -DOpenCV_DIR=$opencv_build_dir -DARM_TARGET=armeabi -DCMAKE_TOOLCHAIN_FILE=$opencv_android/android.toolchain.cmake .."
-echo $RUN_CMAKE
-$RUN_CMAKE
diff --git a/samples/android/hello-android/run.cmd b/samples/android/hello-android/run.cmd
deleted file mode 100644
index 54a73f040..000000000
--- a/samples/android/hello-android/run.cmd
+++ /dev/null
@@ -1,49 +0,0 @@
-:: this batch file copies compiled executable to the device,
-:: runs it and gets resulting image back to the host
-::
-:: Here is sample output of successful run:
-::
-:: 204 KB/s (2887388 bytes in 13.790s)
-:: Hello Android!
-:: 304 KB/s (8723 bytes in 0.028s)
-
-@ECHO OFF
-
-:: enable command extensions
-VERIFY BADVALUE 2>NUL
-SETLOCAL ENABLEEXTENSIONS || (ECHO Unable to enable command extensions. & EXIT \B)
-
-PUSHD %~dp0
-:: project specific settings
-SET PROJECT_NAME=hello-android
-
-:: try to load config file
-SET CFG_PATH=..\..\..\android\scripts\wincfg.cmd
-IF EXIST %CFG_PATH% CALL %CFG_PATH%
-
-:: check if sdk path defined
-IF NOT DEFINED ANDROID_SDK (ECHO. & ECHO You should set an environment variable ANDROID_SDK to the full path to your copy of Android SDK & GOTO end)
-(PUSHD "%ANDROID_SDK%" 2>NUL && POPD) || (ECHO. & ECHO Directory "%ANDROID_SDK%" specified by ANDROID_SDK variable does not exist & GOTO end)
-SET adb=%ANDROID_SDK%\platform-tools\adb.exe
-
-:: copy file to device (usually takes 10 seconds or more)
-%adb% push .\bin\%PROJECT_NAME% /data/bin/sample/%PROJECT_NAME% || GOTO end
-
-:: set execute permission
-%adb% shell chmod 777 /data/bin/sample/%PROJECT_NAME% || GOTO end
-
-:: execute our application
-%adb% shell /data/bin/sample/%PROJECT_NAME% || GOTO end
-
-:: get image result from device
-%adb% pull /mnt/sdcard/HelloAndroid.png || GOTO end
-
-GOTO end
-
-:: cleanup (comment out GOTO above to enable cleanup)
-%adb% shell rm /data/bin/sample/%PROJECT_NAME%
-%adb% shell rm /mnt/sdcard/HelloAndroid.png
-
-:end
-POPD
-ENDLOCAL
diff --git a/samples/android/hello-android/run.sh b/samples/android/hello-android/run.sh
deleted file mode 100755
index 1168c51df..000000000
--- a/samples/android/hello-android/run.sh
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/bin/sh
-cd `dirname $0`
-PROJECT_NAME=hello-android
-
-# copy file to device (usually takes 10 seconds or more)
-adb push ./bin/$PROJECT_NAME /data/bin/sample/$PROJECT_NAME || return
-
-# set execute permission
-adb shell chmod 777 /data/bin/sample/$PROJECT_NAME || return
-
-# execute our application
-adb shell /data/bin/sample/$PROJECT_NAME || return
-
-# get image result from device
-adb pull /mnt/sdcard/HelloAndroid.png || return
diff --git a/samples/android/image-manipulations/.classpath b/samples/android/image-manipulations/.classpath
deleted file mode 100644
index 3f9691c5d..000000000
--- a/samples/android/image-manipulations/.classpath
+++ /dev/null
@@ -1,8 +0,0 @@
-
-
-
-
-
-
-
-
diff --git a/samples/android/image-manipulations/.project b/samples/android/image-manipulations/.project
deleted file mode 100644
index 6bf32a8a3..000000000
--- a/samples/android/image-manipulations/.project
+++ /dev/null
@@ -1,33 +0,0 @@
-
-
- OpenCV Sample - image-manipulations
-
-
-
-
-
- com.android.ide.eclipse.adt.ResourceManagerBuilder
-
-
-
-
- com.android.ide.eclipse.adt.PreCompilerBuilder
-
-
-
-
- org.eclipse.jdt.core.javabuilder
-
-
-
-
- com.android.ide.eclipse.adt.ApkBuilder
-
-
-
-
-
- com.android.ide.eclipse.adt.AndroidNature
- org.eclipse.jdt.core.javanature
-
-
diff --git a/samples/android/image-manipulations/.settings/org.eclipse.jdt.core.prefs b/samples/android/image-manipulations/.settings/org.eclipse.jdt.core.prefs
deleted file mode 100644
index b080d2ddc..000000000
--- a/samples/android/image-manipulations/.settings/org.eclipse.jdt.core.prefs
+++ /dev/null
@@ -1,4 +0,0 @@
-eclipse.preferences.version=1
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
-org.eclipse.jdt.core.compiler.compliance=1.6
-org.eclipse.jdt.core.compiler.source=1.6
diff --git a/samples/android/image-manipulations/AndroidManifest.xml b/samples/android/image-manipulations/AndroidManifest.xml
deleted file mode 100644
index 50ef788ac..000000000
--- a/samples/android/image-manipulations/AndroidManifest.xml
+++ /dev/null
@@ -1,38 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/image-manipulations/CMakeLists.txt b/samples/android/image-manipulations/CMakeLists.txt
deleted file mode 100644
index 70adb1dbe..000000000
--- a/samples/android/image-manipulations/CMakeLists.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-set(sample example-image-manipulations)
-
-add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET})
-if(TARGET ${sample})
- add_dependencies(opencv_android_examples ${sample})
-endif()
diff --git a/samples/android/image-manipulations/res/drawable/icon.png b/samples/android/image-manipulations/res/drawable/icon.png
deleted file mode 100644
index 630454927..000000000
Binary files a/samples/android/image-manipulations/res/drawable/icon.png and /dev/null differ
diff --git a/samples/android/image-manipulations/res/layout/image_manipulations_surface_view.xml b/samples/android/image-manipulations/res/layout/image_manipulations_surface_view.xml
deleted file mode 100644
index 06e2e5e90..000000000
--- a/samples/android/image-manipulations/res/layout/image_manipulations_surface_view.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-
-
-
-
-
diff --git a/samples/android/image-manipulations/res/values/strings.xml b/samples/android/image-manipulations/res/values/strings.xml
deleted file mode 100644
index 564fd795c..000000000
--- a/samples/android/image-manipulations/res/values/strings.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-
-
- OCV Image Manipulations
-
diff --git a/samples/android/image-manipulations/src/org/opencv/samples/imagemanipulations/ImageManipulationsActivity.java b/samples/android/image-manipulations/src/org/opencv/samples/imagemanipulations/ImageManipulationsActivity.java
deleted file mode 100644
index 88ade8430..000000000
--- a/samples/android/image-manipulations/src/org/opencv/samples/imagemanipulations/ImageManipulationsActivity.java
+++ /dev/null
@@ -1,362 +0,0 @@
-package org.opencv.samples.imagemanipulations;
-
-import java.util.Arrays;
-
-import org.opencv.android.BaseLoaderCallback;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
-import org.opencv.android.LoaderCallbackInterface;
-import org.opencv.android.OpenCVLoader;
-import org.opencv.core.Core;
-import org.opencv.core.CvType;
-import org.opencv.core.Mat;
-import org.opencv.core.MatOfFloat;
-import org.opencv.core.MatOfInt;
-import org.opencv.core.Point;
-import org.opencv.core.Scalar;
-import org.opencv.core.Size;
-import org.opencv.android.CameraBridgeViewBase;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
-import org.opencv.imgproc.Imgproc;
-
-import android.app.Activity;
-import android.os.Bundle;
-import android.util.Log;
-import android.view.Menu;
-import android.view.MenuItem;
-import android.view.WindowManager;
-
-public class ImageManipulationsActivity extends Activity implements CvCameraViewListener2 {
- private static final String TAG = "OCVSample::Activity";
-
- public static final int VIEW_MODE_RGBA = 0;
- public static final int VIEW_MODE_HIST = 1;
- public static final int VIEW_MODE_CANNY = 2;
- public static final int VIEW_MODE_SEPIA = 3;
- public static final int VIEW_MODE_SOBEL = 4;
- public static final int VIEW_MODE_ZOOM = 5;
- public static final int VIEW_MODE_PIXELIZE = 6;
- public static final int VIEW_MODE_POSTERIZE = 7;
-
- private MenuItem mItemPreviewRGBA;
- private MenuItem mItemPreviewHist;
- private MenuItem mItemPreviewCanny;
- private MenuItem mItemPreviewSepia;
- private MenuItem mItemPreviewSobel;
- private MenuItem mItemPreviewZoom;
- private MenuItem mItemPreviewPixelize;
- private MenuItem mItemPreviewPosterize;
- private CameraBridgeViewBase mOpenCvCameraView;
-
- private Size mSize0;
- private Size mSizeRgba;
- private Size mSizeRgbaInner;
-
- private Mat mRgba;
- private Mat mGray;
- private Mat mIntermediateMat;
- private Mat mHist;
- private Mat mMat0;
- private MatOfInt mChannels[];
- private MatOfInt mHistSize;
- private int mHistSizeNum;
- private MatOfFloat mRanges;
- private Scalar mColorsRGB[];
- private Scalar mColorsHue[];
- private Scalar mWhilte;
- private Point mP1;
- private Point mP2;
- private float mBuff[];
- private Mat mRgbaInnerWindow;
- private Mat mGrayInnerWindow;
- private Mat mZoomWindow;
- private Mat mZoomCorner;
- private Mat mSepiaKernel;
-
- public static int viewMode = VIEW_MODE_RGBA;
-
- private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
- @Override
- public void onManagerConnected(int status) {
- switch (status) {
- case LoaderCallbackInterface.SUCCESS:
- {
- Log.i(TAG, "OpenCV loaded successfully");
- mOpenCvCameraView.enableView();
- } break;
- default:
- {
- super.onManagerConnected(status);
- } break;
- }
- }
- };
-
- public ImageManipulationsActivity() {
- Log.i(TAG, "Instantiated new " + this.getClass());
- }
-
- /** Called when the activity is first created. */
- @Override
- public void onCreate(Bundle savedInstanceState) {
- Log.i(TAG, "called onCreate");
- super.onCreate(savedInstanceState);
- getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
-
- setContentView(R.layout.image_manipulations_surface_view);
-
- mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.image_manipulations_activity_surface_view);
- mOpenCvCameraView.setCvCameraViewListener(this);
- }
-
- @Override
- public void onPause()
- {
- super.onPause();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- @Override
- public void onResume()
- {
- super.onResume();
- OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
- }
-
- public void onDestroy() {
- super.onDestroy();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- @Override
- public boolean onCreateOptionsMenu(Menu menu) {
- Log.i(TAG, "called onCreateOptionsMenu");
- mItemPreviewRGBA = menu.add("Preview RGBA");
- mItemPreviewHist = menu.add("Histograms");
- mItemPreviewCanny = menu.add("Canny");
- mItemPreviewSepia = menu.add("Sepia");
- mItemPreviewSobel = menu.add("Sobel");
- mItemPreviewZoom = menu.add("Zoom");
- mItemPreviewPixelize = menu.add("Pixelize");
- mItemPreviewPosterize = menu.add("Posterize");
- return true;
- }
-
- @Override
- public boolean onOptionsItemSelected(MenuItem item) {
- Log.i(TAG, "called onOptionsItemSelected; selected item: " + item);
- if (item == mItemPreviewRGBA)
- viewMode = VIEW_MODE_RGBA;
- if (item == mItemPreviewHist)
- viewMode = VIEW_MODE_HIST;
- else if (item == mItemPreviewCanny)
- viewMode = VIEW_MODE_CANNY;
- else if (item == mItemPreviewSepia)
- viewMode = VIEW_MODE_SEPIA;
- else if (item == mItemPreviewSobel)
- viewMode = VIEW_MODE_SOBEL;
- else if (item == mItemPreviewZoom)
- viewMode = VIEW_MODE_ZOOM;
- else if (item == mItemPreviewPixelize)
- viewMode = VIEW_MODE_PIXELIZE;
- else if (item == mItemPreviewPosterize)
- viewMode = VIEW_MODE_POSTERIZE;
- return true;
- }
-
- public void onCameraViewStarted(int width, int height) {
- mGray = new Mat();
- mRgba = new Mat();
- mIntermediateMat = new Mat();
- mSize0 = new Size();
- mHist = new Mat();
- mChannels = new MatOfInt[] { new MatOfInt(0), new MatOfInt(1), new MatOfInt(2) };
- mHistSizeNum = 25;
- mBuff = new float[mHistSizeNum];
- mHistSize = new MatOfInt(mHistSizeNum);
- mRanges = new MatOfFloat(0f, 256f);
- mMat0 = new Mat();
- mColorsRGB = new Scalar[] { new Scalar(200, 0, 0, 255), new Scalar(0, 200, 0, 255), new Scalar(0, 0, 200, 255) };
- mColorsHue = new Scalar[] {
- new Scalar(255, 0, 0, 255), new Scalar(255, 60, 0, 255), new Scalar(255, 120, 0, 255), new Scalar(255, 180, 0, 255), new Scalar(255, 240, 0, 255),
- new Scalar(215, 213, 0, 255), new Scalar(150, 255, 0, 255), new Scalar(85, 255, 0, 255), new Scalar(20, 255, 0, 255), new Scalar(0, 255, 30, 255),
- new Scalar(0, 255, 85, 255), new Scalar(0, 255, 150, 255), new Scalar(0, 255, 215, 255), new Scalar(0, 234, 255, 255), new Scalar(0, 170, 255, 255),
- new Scalar(0, 120, 255, 255), new Scalar(0, 60, 255, 255), new Scalar(0, 0, 255, 255), new Scalar(64, 0, 255, 255), new Scalar(120, 0, 255, 255),
- new Scalar(180, 0, 255, 255), new Scalar(255, 0, 255, 255), new Scalar(255, 0, 215, 255), new Scalar(255, 0, 85, 255), new Scalar(255, 0, 0, 255)
- };
- mWhilte = Scalar.all(255);
- mP1 = new Point();
- mP2 = new Point();
-
- // Fill sepia kernel
- mSepiaKernel = new Mat(4, 4, CvType.CV_32F);
- mSepiaKernel.put(0, 0, /* R */0.189f, 0.769f, 0.393f, 0f);
- mSepiaKernel.put(1, 0, /* G */0.168f, 0.686f, 0.349f, 0f);
- mSepiaKernel.put(2, 0, /* B */0.131f, 0.534f, 0.272f, 0f);
- mSepiaKernel.put(3, 0, /* A */0.000f, 0.000f, 0.000f, 1f);
- }
-
- private void CreateAuxiliaryMats() {
- if (mRgba.empty())
- return;
-
- mSizeRgba = mRgba.size();
-
- int rows = (int) mSizeRgba.height;
- int cols = (int) mSizeRgba.width;
-
- int left = cols / 8;
- int top = rows / 8;
-
- int width = cols * 3 / 4;
- int height = rows * 3 / 4;
-
- if (mRgbaInnerWindow == null)
- mRgbaInnerWindow = mRgba.submat(top, top + height, left, left + width);
- mSizeRgbaInner = mRgbaInnerWindow.size();
-
- if (mGrayInnerWindow == null && !mGray.empty())
- mGrayInnerWindow = mGray.submat(top, top + height, left, left + width);
-
- if (mZoomCorner == null)
- mZoomCorner = mRgba.submat(0, rows / 2 - rows / 10, 0, cols / 2 - cols / 10);
-
- if (mZoomWindow == null)
- mZoomWindow = mRgba.submat(rows / 2 - 9 * rows / 100, rows / 2 + 9 * rows / 100, cols / 2 - 9 * cols / 100, cols / 2 + 9 * cols / 100);
- }
-
- public void onCameraViewStopped() {
- // Explicitly deallocate Mats
- if (mZoomWindow != null)
- mZoomWindow.release();
- if (mZoomCorner != null)
- mZoomCorner.release();
- if (mGrayInnerWindow != null)
- mGrayInnerWindow.release();
- if (mRgbaInnerWindow != null)
- mRgbaInnerWindow.release();
- if (mRgba != null)
- mRgba.release();
- if (mGray != null)
- mGray.release();
- if (mIntermediateMat != null)
- mIntermediateMat.release();
-
- mRgba = null;
- mGray = null;
- mIntermediateMat = null;
- mRgbaInnerWindow = null;
- mGrayInnerWindow = null;
- mZoomCorner = null;
- mZoomWindow = null;
- }
-
- public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
- mRgba = inputFrame.rgba();
-
- switch (ImageManipulationsActivity.viewMode) {
- case ImageManipulationsActivity.VIEW_MODE_RGBA:
- break;
-
- case ImageManipulationsActivity.VIEW_MODE_HIST:
- if ((mSizeRgba == null) || (mRgba.cols() != mSizeRgba.width) || (mRgba.height() != mSizeRgba.height))
- CreateAuxiliaryMats();
- int thikness = (int) (mSizeRgba.width / (mHistSizeNum + 10) / 5);
- if(thikness > 5) thikness = 5;
- int offset = (int) ((mSizeRgba.width - (5*mHistSizeNum + 4*10)*thikness)/2);
- // RGB
- for(int c=0; c<3; c++) {
- Imgproc.calcHist(Arrays.asList(mRgba), mChannels[c], mMat0, mHist, mHistSize, mRanges);
- Core.normalize(mHist, mHist, mSizeRgba.height/2, 0, Core.NORM_INF);
- mHist.get(0, 0, mBuff);
- for(int h=0; h
-
-
-
-
-
-
-
diff --git a/samples/android/tutorial-1-camerapreview/.project b/samples/android/tutorial-1-camerapreview/.project
deleted file mode 100644
index bcb4d1718..000000000
--- a/samples/android/tutorial-1-camerapreview/.project
+++ /dev/null
@@ -1,33 +0,0 @@
-
-
- OpenCV Tutorial 1 - Camera Preview
-
-
-
-
-
- com.android.ide.eclipse.adt.ResourceManagerBuilder
-
-
-
-
- com.android.ide.eclipse.adt.PreCompilerBuilder
-
-
-
-
- org.eclipse.jdt.core.javabuilder
-
-
-
-
- com.android.ide.eclipse.adt.ApkBuilder
-
-
-
-
-
- com.android.ide.eclipse.adt.AndroidNature
- org.eclipse.jdt.core.javanature
-
-
diff --git a/samples/android/tutorial-1-camerapreview/.settings/org.eclipse.jdt.core.prefs b/samples/android/tutorial-1-camerapreview/.settings/org.eclipse.jdt.core.prefs
deleted file mode 100644
index b080d2ddc..000000000
--- a/samples/android/tutorial-1-camerapreview/.settings/org.eclipse.jdt.core.prefs
+++ /dev/null
@@ -1,4 +0,0 @@
-eclipse.preferences.version=1
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
-org.eclipse.jdt.core.compiler.compliance=1.6
-org.eclipse.jdt.core.compiler.source=1.6
diff --git a/samples/android/tutorial-1-camerapreview/AndroidManifest.xml b/samples/android/tutorial-1-camerapreview/AndroidManifest.xml
deleted file mode 100644
index 47d45ed37..000000000
--- a/samples/android/tutorial-1-camerapreview/AndroidManifest.xml
+++ /dev/null
@@ -1,38 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/tutorial-1-camerapreview/CMakeLists.txt b/samples/android/tutorial-1-camerapreview/CMakeLists.txt
deleted file mode 100644
index 7e5c5cb1b..000000000
--- a/samples/android/tutorial-1-camerapreview/CMakeLists.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-set(sample example-tutorial-1-camerapreview)
-
-add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET})
-if(TARGET ${sample})
- add_dependencies(opencv_android_examples ${sample})
-endif()
diff --git a/samples/android/tutorial-1-camerapreview/res/drawable/icon.png b/samples/android/tutorial-1-camerapreview/res/drawable/icon.png
deleted file mode 100644
index 630454927..000000000
Binary files a/samples/android/tutorial-1-camerapreview/res/drawable/icon.png and /dev/null differ
diff --git a/samples/android/tutorial-1-camerapreview/res/values/strings.xml b/samples/android/tutorial-1-camerapreview/res/values/strings.xml
deleted file mode 100644
index b7bea7d51..000000000
--- a/samples/android/tutorial-1-camerapreview/res/values/strings.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-
-
- OCV T1 Preview
-
diff --git a/samples/android/tutorial-1-camerapreview/src/org/opencv/samples/tutorial1/Tutorial1Activity.java b/samples/android/tutorial-1-camerapreview/src/org/opencv/samples/tutorial1/Tutorial1Activity.java
deleted file mode 100644
index cbac1649b..000000000
--- a/samples/android/tutorial-1-camerapreview/src/org/opencv/samples/tutorial1/Tutorial1Activity.java
+++ /dev/null
@@ -1,131 +0,0 @@
-package org.opencv.samples.tutorial1;
-
-import org.opencv.android.BaseLoaderCallback;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
-import org.opencv.android.LoaderCallbackInterface;
-import org.opencv.android.OpenCVLoader;
-import org.opencv.core.Mat;
-import org.opencv.android.CameraBridgeViewBase;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
-
-import android.app.Activity;
-import android.os.Bundle;
-import android.util.Log;
-import android.view.Menu;
-import android.view.MenuItem;
-import android.view.SurfaceView;
-import android.view.WindowManager;
-import android.widget.Toast;
-
-public class Tutorial1Activity extends Activity implements CvCameraViewListener2 {
- private static final String TAG = "OCVSample::Activity";
-
- private CameraBridgeViewBase mOpenCvCameraView;
- private boolean mIsJavaCamera = true;
- private MenuItem mItemSwitchCamera = null;
-
- private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
- @Override
- public void onManagerConnected(int status) {
- switch (status) {
- case LoaderCallbackInterface.SUCCESS:
- {
- Log.i(TAG, "OpenCV loaded successfully");
- mOpenCvCameraView.enableView();
- } break;
- default:
- {
- super.onManagerConnected(status);
- } break;
- }
- }
- };
-
- public Tutorial1Activity() {
- Log.i(TAG, "Instantiated new " + this.getClass());
- }
-
- /** Called when the activity is first created. */
- @Override
- public void onCreate(Bundle savedInstanceState) {
- Log.i(TAG, "called onCreate");
- super.onCreate(savedInstanceState);
- getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
-
- setContentView(R.layout.tutorial1_surface_view);
-
- if (mIsJavaCamera)
- mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial1_activity_java_surface_view);
- else
- mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial1_activity_native_surface_view);
-
- mOpenCvCameraView.setVisibility(SurfaceView.VISIBLE);
-
- mOpenCvCameraView.setCvCameraViewListener(this);
- }
-
- @Override
- public void onPause()
- {
- super.onPause();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- @Override
- public void onResume()
- {
- super.onResume();
- OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
- }
-
- public void onDestroy() {
- super.onDestroy();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- @Override
- public boolean onCreateOptionsMenu(Menu menu) {
- Log.i(TAG, "called onCreateOptionsMenu");
- mItemSwitchCamera = menu.add("Toggle Native/Java camera");
- return true;
- }
-
- @Override
- public boolean onOptionsItemSelected(MenuItem item) {
- String toastMesage = new String();
- Log.i(TAG, "called onOptionsItemSelected; selected item: " + item);
-
- if (item == mItemSwitchCamera) {
- mOpenCvCameraView.setVisibility(SurfaceView.GONE);
- mIsJavaCamera = !mIsJavaCamera;
-
- if (mIsJavaCamera) {
- mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial1_activity_java_surface_view);
- toastMesage = "Java Camera";
- } else {
- mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial1_activity_native_surface_view);
- toastMesage = "Native Camera";
- }
-
- mOpenCvCameraView.setVisibility(SurfaceView.VISIBLE);
- mOpenCvCameraView.setCvCameraViewListener(this);
- mOpenCvCameraView.enableView();
- Toast toast = Toast.makeText(this, toastMesage, Toast.LENGTH_LONG);
- toast.show();
- }
-
- return true;
- }
-
- public void onCameraViewStarted(int width, int height) {
- }
-
- public void onCameraViewStopped() {
- }
-
- public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
- return inputFrame.rgba();
- }
-}
diff --git a/samples/android/tutorial-2-mixedprocessing/.classpath b/samples/android/tutorial-2-mixedprocessing/.classpath
deleted file mode 100644
index 3f9691c5d..000000000
--- a/samples/android/tutorial-2-mixedprocessing/.classpath
+++ /dev/null
@@ -1,8 +0,0 @@
-
-
-
-
-
-
-
-
diff --git a/samples/android/tutorial-2-mixedprocessing/.cproject b/samples/android/tutorial-2-mixedprocessing/.cproject
deleted file mode 100644
index 0d1d13e85..000000000
--- a/samples/android/tutorial-2-mixedprocessing/.cproject
+++ /dev/null
@@ -1,74 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/tutorial-2-mixedprocessing/.project b/samples/android/tutorial-2-mixedprocessing/.project
deleted file mode 100644
index c3e05a59a..000000000
--- a/samples/android/tutorial-2-mixedprocessing/.project
+++ /dev/null
@@ -1,101 +0,0 @@
-
-
- OpenCV Tutorial 2 - Mixed Processing
-
-
-
-
-
- org.eclipse.cdt.managedbuilder.core.genmakebuilder
- auto,full,incremental,
-
-
- ?name?
-
-
-
- org.eclipse.cdt.make.core.append_environment
- true
-
-
- org.eclipse.cdt.make.core.autoBuildTarget
-
-
-
- org.eclipse.cdt.make.core.buildArguments
-
-
-
- org.eclipse.cdt.make.core.buildCommand
- ${NDKROOT}/ndk-build.cmd
-
-
- org.eclipse.cdt.make.core.cleanBuildTarget
- clean
-
-
- org.eclipse.cdt.make.core.contents
- org.eclipse.cdt.make.core.activeConfigSettings
-
-
- org.eclipse.cdt.make.core.enableAutoBuild
- true
-
-
- org.eclipse.cdt.make.core.enableCleanBuild
- false
-
-
- org.eclipse.cdt.make.core.enableFullBuild
- true
-
-
- org.eclipse.cdt.make.core.fullBuildTarget
-
-
-
- org.eclipse.cdt.make.core.stopOnError
- true
-
-
- org.eclipse.cdt.make.core.useDefaultBuildCmd
- false
-
-
-
-
- com.android.ide.eclipse.adt.ResourceManagerBuilder
-
-
-
-
- com.android.ide.eclipse.adt.PreCompilerBuilder
-
-
-
-
- org.eclipse.jdt.core.javabuilder
-
-
-
-
- com.android.ide.eclipse.adt.ApkBuilder
-
-
-
-
- org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder
- full,incremental,
-
-
-
-
-
- com.android.ide.eclipse.adt.AndroidNature
- org.eclipse.jdt.core.javanature
- org.eclipse.cdt.core.cnature
- org.eclipse.cdt.core.ccnature
- org.eclipse.cdt.managedbuilder.core.managedBuildNature
- org.eclipse.cdt.managedbuilder.core.ScannerConfigNature
-
-
diff --git a/samples/android/tutorial-2-mixedprocessing/.settings/org.eclipse.jdt.core.prefs b/samples/android/tutorial-2-mixedprocessing/.settings/org.eclipse.jdt.core.prefs
deleted file mode 100644
index b080d2ddc..000000000
--- a/samples/android/tutorial-2-mixedprocessing/.settings/org.eclipse.jdt.core.prefs
+++ /dev/null
@@ -1,4 +0,0 @@
-eclipse.preferences.version=1
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
-org.eclipse.jdt.core.compiler.compliance=1.6
-org.eclipse.jdt.core.compiler.source=1.6
diff --git a/samples/android/tutorial-2-mixedprocessing/AndroidManifest.xml b/samples/android/tutorial-2-mixedprocessing/AndroidManifest.xml
deleted file mode 100644
index 795dd204b..000000000
--- a/samples/android/tutorial-2-mixedprocessing/AndroidManifest.xml
+++ /dev/null
@@ -1,38 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/tutorial-2-mixedprocessing/CMakeLists.txt b/samples/android/tutorial-2-mixedprocessing/CMakeLists.txt
deleted file mode 100644
index e8771ede1..000000000
--- a/samples/android/tutorial-2-mixedprocessing/CMakeLists.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-set(sample example-tutorial-2-mixedprocessing)
-
-if(BUILD_FAT_JAVA_LIB)
- set(native_deps opencv_java)
-else()
- set(native_deps opencv_features2d)
-endif()
-
-add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET} NATIVE_DEPS ${native_deps})
-if(TARGET ${sample})
- add_dependencies(opencv_android_examples ${sample})
-endif()
diff --git a/samples/android/tutorial-2-mixedprocessing/jni/Android.mk b/samples/android/tutorial-2-mixedprocessing/jni/Android.mk
deleted file mode 100644
index 18dac1fb0..000000000
--- a/samples/android/tutorial-2-mixedprocessing/jni/Android.mk
+++ /dev/null
@@ -1,11 +0,0 @@
-LOCAL_PATH := $(call my-dir)
-
-include $(CLEAR_VARS)
-
-include ../../sdk/native/jni/OpenCV.mk
-
-LOCAL_MODULE := mixed_sample
-LOCAL_SRC_FILES := jni_part.cpp
-LOCAL_LDLIBS += -llog -ldl
-
-include $(BUILD_SHARED_LIBRARY)
diff --git a/samples/android/tutorial-2-mixedprocessing/jni/Application.mk b/samples/android/tutorial-2-mixedprocessing/jni/Application.mk
deleted file mode 100644
index 4fffcb283..000000000
--- a/samples/android/tutorial-2-mixedprocessing/jni/Application.mk
+++ /dev/null
@@ -1,4 +0,0 @@
-APP_STL := gnustl_static
-APP_CPPFLAGS := -frtti -fexceptions
-APP_ABI := armeabi-v7a
-APP_PLATFORM := android-8
diff --git a/samples/android/tutorial-2-mixedprocessing/res/drawable/icon.png b/samples/android/tutorial-2-mixedprocessing/res/drawable/icon.png
deleted file mode 100644
index 630454927..000000000
Binary files a/samples/android/tutorial-2-mixedprocessing/res/drawable/icon.png and /dev/null differ
diff --git a/samples/android/tutorial-2-mixedprocessing/res/layout/tutorial2_surface_view.xml b/samples/android/tutorial-2-mixedprocessing/res/layout/tutorial2_surface_view.xml
deleted file mode 100644
index a176669aa..000000000
--- a/samples/android/tutorial-2-mixedprocessing/res/layout/tutorial2_surface_view.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-
-
-
-
-
diff --git a/samples/android/tutorial-2-mixedprocessing/res/values/strings.xml b/samples/android/tutorial-2-mixedprocessing/res/values/strings.xml
deleted file mode 100644
index 0ecc4bb60..000000000
--- a/samples/android/tutorial-2-mixedprocessing/res/values/strings.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-
-
- OCV T2 Mixed Processing
-
diff --git a/samples/android/tutorial-2-mixedprocessing/src/org/opencv/samples/tutorial2/Tutorial2Activity.java b/samples/android/tutorial-2-mixedprocessing/src/org/opencv/samples/tutorial2/Tutorial2Activity.java
deleted file mode 100644
index eb84a1ec6..000000000
--- a/samples/android/tutorial-2-mixedprocessing/src/org/opencv/samples/tutorial2/Tutorial2Activity.java
+++ /dev/null
@@ -1,166 +0,0 @@
-package org.opencv.samples.tutorial2;
-
-import org.opencv.android.BaseLoaderCallback;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
-import org.opencv.android.LoaderCallbackInterface;
-import org.opencv.android.OpenCVLoader;
-import org.opencv.core.CvType;
-import org.opencv.core.Mat;
-import org.opencv.android.CameraBridgeViewBase;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
-import org.opencv.imgproc.Imgproc;
-
-import android.app.Activity;
-import android.os.Bundle;
-import android.util.Log;
-import android.view.Menu;
-import android.view.MenuItem;
-import android.view.WindowManager;
-
-public class Tutorial2Activity extends Activity implements CvCameraViewListener2 {
- private static final String TAG = "OCVSample::Activity";
-
- private static final int VIEW_MODE_RGBA = 0;
- private static final int VIEW_MODE_GRAY = 1;
- private static final int VIEW_MODE_CANNY = 2;
- private static final int VIEW_MODE_FEATURES = 5;
-
- private int mViewMode;
- private Mat mRgba;
- private Mat mIntermediateMat;
- private Mat mGray;
-
- private MenuItem mItemPreviewRGBA;
- private MenuItem mItemPreviewGray;
- private MenuItem mItemPreviewCanny;
- private MenuItem mItemPreviewFeatures;
-
- private CameraBridgeViewBase mOpenCvCameraView;
-
- private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
- @Override
- public void onManagerConnected(int status) {
- switch (status) {
- case LoaderCallbackInterface.SUCCESS:
- {
- Log.i(TAG, "OpenCV loaded successfully");
-
- // Load native library after(!) OpenCV initialization
- System.loadLibrary("mixed_sample");
-
- mOpenCvCameraView.enableView();
- } break;
- default:
- {
- super.onManagerConnected(status);
- } break;
- }
- }
- };
-
- public Tutorial2Activity() {
- Log.i(TAG, "Instantiated new " + this.getClass());
- }
-
- /** Called when the activity is first created. */
- @Override
- public void onCreate(Bundle savedInstanceState) {
- Log.i(TAG, "called onCreate");
- super.onCreate(savedInstanceState);
- getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
-
- setContentView(R.layout.tutorial2_surface_view);
-
- mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial2_activity_surface_view);
- mOpenCvCameraView.setCvCameraViewListener(this);
- }
-
- @Override
- public boolean onCreateOptionsMenu(Menu menu) {
- Log.i(TAG, "called onCreateOptionsMenu");
- mItemPreviewRGBA = menu.add("Preview RGBA");
- mItemPreviewGray = menu.add("Preview GRAY");
- mItemPreviewCanny = menu.add("Canny");
- mItemPreviewFeatures = menu.add("Find features");
- return true;
- }
-
- @Override
- public void onPause()
- {
- super.onPause();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- @Override
- public void onResume()
- {
- super.onResume();
- OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
- }
-
- public void onDestroy() {
- super.onDestroy();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- public void onCameraViewStarted(int width, int height) {
- mRgba = new Mat(height, width, CvType.CV_8UC4);
- mIntermediateMat = new Mat(height, width, CvType.CV_8UC4);
- mGray = new Mat(height, width, CvType.CV_8UC1);
- }
-
- public void onCameraViewStopped() {
- mRgba.release();
- mGray.release();
- mIntermediateMat.release();
- }
-
- public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
- final int viewMode = mViewMode;
- switch (viewMode) {
- case VIEW_MODE_GRAY:
- // input frame has gray scale format
- Imgproc.cvtColor(inputFrame.gray(), mRgba, Imgproc.COLOR_GRAY2RGBA, 4);
- break;
- case VIEW_MODE_RGBA:
- // input frame has RBGA format
- mRgba = inputFrame.rgba();
- break;
- case VIEW_MODE_CANNY:
- // input frame has gray scale format
- mRgba = inputFrame.rgba();
- Imgproc.Canny(inputFrame.gray(), mIntermediateMat, 80, 100);
- Imgproc.cvtColor(mIntermediateMat, mRgba, Imgproc.COLOR_GRAY2RGBA, 4);
- break;
- case VIEW_MODE_FEATURES:
- // input frame has RGBA format
- mRgba = inputFrame.rgba();
- mGray = inputFrame.gray();
- FindFeatures(mGray.getNativeObjAddr(), mRgba.getNativeObjAddr());
- break;
- }
-
- return mRgba;
- }
-
- public boolean onOptionsItemSelected(MenuItem item) {
- Log.i(TAG, "called onOptionsItemSelected; selected item: " + item);
-
- if (item == mItemPreviewRGBA) {
- mViewMode = VIEW_MODE_RGBA;
- } else if (item == mItemPreviewGray) {
- mViewMode = VIEW_MODE_GRAY;
- } else if (item == mItemPreviewCanny) {
- mViewMode = VIEW_MODE_CANNY;
- } else if (item == mItemPreviewFeatures) {
- mViewMode = VIEW_MODE_FEATURES;
- }
-
- return true;
- }
-
- public native void FindFeatures(long matAddrGr, long matAddrRgba);
-}
diff --git a/samples/android/tutorial-3-cameracontrol/.classpath b/samples/android/tutorial-3-cameracontrol/.classpath
deleted file mode 100644
index 3f9691c5d..000000000
--- a/samples/android/tutorial-3-cameracontrol/.classpath
+++ /dev/null
@@ -1,8 +0,0 @@
-
-
-
-
-
-
-
-
diff --git a/samples/android/tutorial-3-cameracontrol/.project b/samples/android/tutorial-3-cameracontrol/.project
deleted file mode 100644
index bccca2d7c..000000000
--- a/samples/android/tutorial-3-cameracontrol/.project
+++ /dev/null
@@ -1,33 +0,0 @@
-
-
- OpenCV Tutorial 3 - Camera Control
-
-
-
-
-
- com.android.ide.eclipse.adt.ResourceManagerBuilder
-
-
-
-
- com.android.ide.eclipse.adt.PreCompilerBuilder
-
-
-
-
- org.eclipse.jdt.core.javabuilder
-
-
-
-
- com.android.ide.eclipse.adt.ApkBuilder
-
-
-
-
-
- com.android.ide.eclipse.adt.AndroidNature
- org.eclipse.jdt.core.javanature
-
-
diff --git a/samples/android/tutorial-3-cameracontrol/.settings/org.eclipse.jdt.core.prefs b/samples/android/tutorial-3-cameracontrol/.settings/org.eclipse.jdt.core.prefs
deleted file mode 100644
index b080d2ddc..000000000
--- a/samples/android/tutorial-3-cameracontrol/.settings/org.eclipse.jdt.core.prefs
+++ /dev/null
@@ -1,4 +0,0 @@
-eclipse.preferences.version=1
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
-org.eclipse.jdt.core.compiler.compliance=1.6
-org.eclipse.jdt.core.compiler.source=1.6
diff --git a/samples/android/tutorial-3-cameracontrol/AndroidManifest.xml b/samples/android/tutorial-3-cameracontrol/AndroidManifest.xml
deleted file mode 100644
index da90f95d8..000000000
--- a/samples/android/tutorial-3-cameracontrol/AndroidManifest.xml
+++ /dev/null
@@ -1,39 +0,0 @@
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/samples/android/tutorial-3-cameracontrol/CMakeLists.txt b/samples/android/tutorial-3-cameracontrol/CMakeLists.txt
deleted file mode 100644
index 3fd69c929..000000000
--- a/samples/android/tutorial-3-cameracontrol/CMakeLists.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-set(sample example-tutorial-3-cameracontrol)
-
-add_android_project(${sample} "${CMAKE_CURRENT_SOURCE_DIR}" LIBRARY_DEPS ${OpenCV_BINARY_DIR} SDK_TARGET 11 ${ANDROID_SDK_TARGET})
-if(TARGET ${sample})
- add_dependencies(opencv_android_examples ${sample})
-endif()
diff --git a/samples/android/tutorial-3-cameracontrol/res/drawable/icon.png b/samples/android/tutorial-3-cameracontrol/res/drawable/icon.png
deleted file mode 100644
index 630454927..000000000
Binary files a/samples/android/tutorial-3-cameracontrol/res/drawable/icon.png and /dev/null differ
diff --git a/samples/android/tutorial-3-cameracontrol/res/values/strings.xml b/samples/android/tutorial-3-cameracontrol/res/values/strings.xml
deleted file mode 100644
index d3fb56d94..000000000
--- a/samples/android/tutorial-3-cameracontrol/res/values/strings.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-
-
- OCV T3 Camera Control
-
diff --git a/samples/android/tutorial-3-cameracontrol/src/org/opencv/samples/tutorial3/Tutorial3Activity.java b/samples/android/tutorial-3-cameracontrol/src/org/opencv/samples/tutorial3/Tutorial3Activity.java
deleted file mode 100644
index 28c00f3b1..000000000
--- a/samples/android/tutorial-3-cameracontrol/src/org/opencv/samples/tutorial3/Tutorial3Activity.java
+++ /dev/null
@@ -1,178 +0,0 @@
-package org.opencv.samples.tutorial3;
-
-import java.text.SimpleDateFormat;
-import java.util.Date;
-import java.util.List;
-import java.util.ListIterator;
-
-import org.opencv.android.BaseLoaderCallback;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
-import org.opencv.android.LoaderCallbackInterface;
-import org.opencv.android.OpenCVLoader;
-import org.opencv.core.Mat;
-import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
-
-import android.annotation.SuppressLint;
-import android.app.Activity;
-import android.hardware.Camera.Size;
-import android.os.Bundle;
-import android.os.Environment;
-import android.util.Log;
-import android.view.Menu;
-import android.view.MenuItem;
-import android.view.MotionEvent;
-import android.view.SubMenu;
-import android.view.SurfaceView;
-import android.view.View;
-import android.view.View.OnTouchListener;
-import android.view.WindowManager;
-import android.widget.Toast;
-
-public class Tutorial3Activity extends Activity implements CvCameraViewListener2, OnTouchListener {
- private static final String TAG = "OCVSample::Activity";
-
- private Tutorial3View mOpenCvCameraView;
- private List mResolutionList;
- private MenuItem[] mEffectMenuItems;
- private SubMenu mColorEffectsMenu;
- private MenuItem[] mResolutionMenuItems;
- private SubMenu mResolutionMenu;
-
- private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
- @Override
- public void onManagerConnected(int status) {
- switch (status) {
- case LoaderCallbackInterface.SUCCESS:
- {
- Log.i(TAG, "OpenCV loaded successfully");
- mOpenCvCameraView.enableView();
- mOpenCvCameraView.setOnTouchListener(Tutorial3Activity.this);
- } break;
- default:
- {
- super.onManagerConnected(status);
- } break;
- }
- }
- };
-
- public Tutorial3Activity() {
- Log.i(TAG, "Instantiated new " + this.getClass());
- }
-
- /** Called when the activity is first created. */
- @Override
- public void onCreate(Bundle savedInstanceState) {
- Log.i(TAG, "called onCreate");
- super.onCreate(savedInstanceState);
- getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
-
- setContentView(R.layout.tutorial3_surface_view);
-
- mOpenCvCameraView = (Tutorial3View) findViewById(R.id.tutorial3_activity_java_surface_view);
-
- mOpenCvCameraView.setVisibility(SurfaceView.VISIBLE);
-
- mOpenCvCameraView.setCvCameraViewListener(this);
- }
-
- @Override
- public void onPause()
- {
- super.onPause();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- @Override
- public void onResume()
- {
- super.onResume();
- OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
- }
-
- public void onDestroy() {
- super.onDestroy();
- if (mOpenCvCameraView != null)
- mOpenCvCameraView.disableView();
- }
-
- public void onCameraViewStarted(int width, int height) {
- }
-
- public void onCameraViewStopped() {
- }
-
- public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
- return inputFrame.rgba();
- }
-
- @Override
- public boolean onCreateOptionsMenu(Menu menu) {
- List effects = mOpenCvCameraView.getEffectList();
-
- if (effects == null) {
- Log.e(TAG, "Color effects are not supported by device!");
- return true;
- }
-
- mColorEffectsMenu = menu.addSubMenu("Color Effect");
- mEffectMenuItems = new MenuItem[effects.size()];
-
- int idx = 0;
- ListIterator effectItr = effects.listIterator();
- while(effectItr.hasNext()) {
- String element = effectItr.next();
- mEffectMenuItems[idx] = mColorEffectsMenu.add(1, idx, Menu.NONE, element);
- idx++;
- }
-
- mResolutionMenu = menu.addSubMenu("Resolution");
- mResolutionList = mOpenCvCameraView.getResolutionList();
- mResolutionMenuItems = new MenuItem[mResolutionList.size()];
-
- ListIterator resolutionItr = mResolutionList.listIterator();
- idx = 0;
- while(resolutionItr.hasNext()) {
- Size element = resolutionItr.next();
- mResolutionMenuItems[idx] = mResolutionMenu.add(2, idx, Menu.NONE,
- Integer.valueOf(element.width).toString() + "x" + Integer.valueOf(element.height).toString());
- idx++;
- }
-
- return true;
- }
-
- public boolean onOptionsItemSelected(MenuItem item) {
- Log.i(TAG, "called onOptionsItemSelected; selected item: " + item);
- if (item.getGroupId() == 1)
- {
- mOpenCvCameraView.setEffect((String) item.getTitle());
- Toast.makeText(this, mOpenCvCameraView.getEffect(), Toast.LENGTH_SHORT).show();
- }
- else if (item.getGroupId() == 2)
- {
- int id = item.getItemId();
- Size resolution = mResolutionList.get(id);
- mOpenCvCameraView.setResolution(resolution);
- resolution = mOpenCvCameraView.getResolution();
- String caption = Integer.valueOf(resolution.width).toString() + "x" + Integer.valueOf(resolution.height).toString();
- Toast.makeText(this, caption, Toast.LENGTH_SHORT).show();
- }
-
- return true;
- }
-
- @SuppressLint("SimpleDateFormat")
- @Override
- public boolean onTouch(View v, MotionEvent event) {
- Log.i(TAG,"onTouch event");
- SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd_HH-mm-ss");
- String currentDateandTime = sdf.format(new Date());
- String fileName = Environment.getExternalStorageDirectory().getPath() +
- "/sample_picture_" + currentDateandTime + ".jpg";
- mOpenCvCameraView.takePicture(fileName);
- Toast.makeText(this, fileName + " saved", Toast.LENGTH_SHORT).show();
- return false;
- }
-}
diff --git a/samples/c/CMakeLists.txt b/samples/c/CMakeLists.txt
deleted file mode 100644
index dfab5e00a..000000000
--- a/samples/c/CMakeLists.txt
+++ /dev/null
@@ -1,60 +0,0 @@
-# ----------------------------------------------------------------------------
-# CMake file for C samples. See root CMakeLists.txt
-#
-# ----------------------------------------------------------------------------
-
-SET(OPENCV_C_SAMPLES_REQUIRED_DEPS opencv_core opencv_flann opencv_imgproc
- opencv_highgui opencv_ml opencv_video opencv_objdetect opencv_photo opencv_nonfree
- opencv_features2d opencv_calib3d opencv_legacy opencv_contrib)
-
-ocv_check_dependencies(${OPENCV_C_SAMPLES_REQUIRED_DEPS})
-
-if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
- project(c_samples)
-
- if(CMAKE_COMPILER_IS_GNUCXX AND NOT ENABLE_NOISY_WARNINGS)
- set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-unused-function")
- endif()
-
- ocv_include_modules(${OPENCV_C_SAMPLES_REQUIRED_DEPS})
-
- # ---------------------------------------------
- # Define executable targets
- # ---------------------------------------------
- MACRO(OPENCV_DEFINE_C_EXAMPLE name srcs)
- set(the_target "example_${name}")
- add_executable(${the_target} ${srcs})
- target_link_libraries(${the_target} ${OPENCV_LINKER_LIBS} ${OPENCV_C_SAMPLES_REQUIRED_DEPS})
-
- set_target_properties(${the_target} PROPERTIES
- OUTPUT_NAME "c-example-${name}"
- PROJECT_LABEL "(EXAMPLE) ${name}")
-
- if(ENABLE_SOLUTION_FOLDERS)
- set_target_properties(${the_target} PROPERTIES FOLDER "samples//c")
- endif()
-
- if(WIN32)
- if(MSVC AND NOT BUILD_SHARED_LIBS)
- set_target_properties(${the_target} PROPERTIES LINK_FLAGS "/NODEFAULTLIB:atlthunk.lib /NODEFAULTLIB:atlsd.lib /DEBUG")
- endif()
- install(TARGETS ${the_target}
- RUNTIME DESTINATION "samples/c" COMPONENT main)
- endif()
- ENDMACRO()
-
- file(GLOB cpp_samples RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.cpp *.c)
-
- foreach(sample_filename ${cpp_samples})
- get_filename_component(sample ${sample_filename} NAME_WE)
- OPENCV_DEFINE_C_EXAMPLE(${sample} ${sample_filename})
- endforeach()
-endif()
-
-if (INSTALL_C_EXAMPLES AND NOT WIN32)
- file(GLOB C_SAMPLES *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
- install(FILES ${C_SAMPLES}
- DESTINATION share/OpenCV/samples/c
- PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
-endif ()
-
diff --git a/samples/c/JCB.png b/samples/c/JCB.png
deleted file mode 100644
index 243602aaa..000000000
Binary files a/samples/c/JCB.png and /dev/null differ
diff --git a/samples/c/agaricus-lepiota.data b/samples/c/agaricus-lepiota.data
deleted file mode 100644
index 14fe8bbe7..000000000
--- a/samples/c/agaricus-lepiota.data
+++ /dev/null
@@ -1,8124 +0,0 @@
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-e,k,f,w,f,n,f,w,b,w,e,?,k,s,w,w,p,w,t,p,w,n,g
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-e,b,s,w,f,n,f,w,b,w,e,?,s,s,w,w,p,w,t,p,w,n,g
-e,x,s,n,f,n,a,c,b,o,e,?,s,s,o,o,p,o,o,p,n,v,l
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-e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,o,v,l
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-e,k,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,b,c,l
-e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,n,o,p,b,v,l
-e,f,s,n,f,n,a,c,b,n,e,?,s,s,o,o,p,o,o,p,b,c,l
-p,k,y,n,f,y,f,c,n,b,t,?,s,k,w,w,p,w,o,e,w,v,l
-e,x,s,n,f,n,a,c,b,y,e,?,s,s,o,o,p,o,o,p,o,c,l
diff --git a/samples/c/airplane.jpg b/samples/c/airplane.jpg
deleted file mode 100644
index a9b465267..000000000
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diff --git a/samples/c/baboon.jpg b/samples/c/baboon.jpg
deleted file mode 100644
index 2f98d8359..000000000
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diff --git a/samples/c/baboon200.jpg b/samples/c/baboon200.jpg
deleted file mode 100644
index 1b873e0ce..000000000
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diff --git a/samples/c/baboon200_rotated.jpg b/samples/c/baboon200_rotated.jpg
deleted file mode 100644
index 86160db9a..000000000
Binary files a/samples/c/baboon200_rotated.jpg and /dev/null differ
diff --git a/samples/c/box.png b/samples/c/box.png
deleted file mode 100644
index 6f01082f7..000000000
Binary files a/samples/c/box.png and /dev/null differ
diff --git a/samples/c/box_in_scene.png b/samples/c/box_in_scene.png
deleted file mode 100644
index cff246a3f..000000000
Binary files a/samples/c/box_in_scene.png and /dev/null differ
diff --git a/samples/c/build_all.sh b/samples/c/build_all.sh
deleted file mode 100755
index 787474aa2..000000000
--- a/samples/c/build_all.sh
+++ /dev/null
@@ -1,16 +0,0 @@
-#!/bin/sh
-
-if [ $# -gt 0 ] ; then
- base=`basename $1 .c`
- echo "compiling $base"
- gcc -ggdb `pkg-config opencv --cflags --libs` $base.c -o $base
-else
- for i in *.c; do
- echo "compiling $i"
- gcc -ggdb `pkg-config --cflags opencv` -o `basename $i .c` $i `pkg-config --libs opencv`;
- done
- for i in *.cpp; do
- echo "compiling $i"
- g++ -ggdb `pkg-config --cflags opencv` -o `basename $i .cpp` $i `pkg-config --libs opencv`;
- done
-fi
diff --git a/samples/c/calonder_params.xml b/samples/c/calonder_params.xml
deleted file mode 100644
index f2294caef..000000000
--- a/samples/c/calonder_params.xml
+++ /dev/null
@@ -1,10 +0,0 @@
-
-
- 20
- 7
- 1000
- 20
- 30
- 4
- 1
-
diff --git a/samples/c/cat.jpg b/samples/c/cat.jpg
deleted file mode 100644
index df4a907e5..000000000
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diff --git a/samples/c/cat.xml b/samples/c/cat.xml
deleted file mode 100644
index 85fcf0908..000000000
Binary files a/samples/c/cat.xml and /dev/null differ
diff --git a/samples/c/contours.c b/samples/c/contours.c
deleted file mode 100644
index 58939e47a..000000000
--- a/samples/c/contours.c
+++ /dev/null
@@ -1,167 +0,0 @@
-#include "opencv2/imgproc/imgproc_c.h"
-#include "opencv2/highgui/highgui_c.h"
-#include
-
-static void help(void)
-{
- printf("\nThis program creates an image to demonstrate the use of the \"c\" contour\n"
- "functions: cvFindContours() and cvApproxPoly() along with the storage\n"
- "functions cvCreateMemStorage() and cvDrawContours().\n"
- "It also shows the use of a trackbar to control contour retrieval.\n"
- "\n"
- "Usage :\n"
- "./contours\n");
-}
-
-#define w 500
-int levels = 3;
-CvSeq* contours = 0;
-
-static void on_trackbar(int pos)
-{
- IplImage* cnt_img = cvCreateImage( cvSize(w,w), 8, 3 );
- CvSeq* _contours = contours;
- int _levels = levels - 3;
- (void)pos;
-
- if( _levels <= 0 ) // get to the nearest face to make it look more funny
- _contours = _contours->h_next->h_next->h_next;
- cvZero( cnt_img );
- cvDrawContours( cnt_img, _contours, CV_RGB(255,0,0), CV_RGB(0,255,0), _levels, 3, CV_AA, cvPoint(0,0) );
- cvShowImage( "contours", cnt_img );
- cvReleaseImage( &cnt_img );
-}
-
-static void findCComp( IplImage* img )
-{
- int x, y, cidx = 1;
- IplImage* mask = cvCreateImage( cvSize(img->width+2, img->height+2), 8, 1 );
- cvZero(mask);
- cvRectangle( mask, cvPoint(0, 0), cvPoint(mask->width-1, mask->height-1),
- cvScalarAll(1), 1, 8, 0 );
-
- for( y = 0; y < img->height; y++ )
- for( x = 0; x < img->width; x++ )
- {
- if( CV_IMAGE_ELEM(mask, uchar, y+1, x+1) != 0 )
- continue;
- cvFloodFill(img, cvPoint(x,y), cvScalarAll(cidx),
- cvScalarAll(0), cvScalarAll(0), 0, 4, mask);
- cidx++;
- }
-}
-
-
-int main(int argc, char* argv[])
-{
- int i, j;
- CvMemStorage* storage = cvCreateMemStorage(0);
- IplImage* img = cvCreateImage( cvSize(w,w), 8, 1 );
- IplImage* img32f = cvCreateImage( cvSize(w,w), IPL_DEPTH_32F, 1 );
- IplImage* img32s = cvCreateImage( cvSize(w,w), IPL_DEPTH_32S, 1 );
- IplImage* img3 = cvCreateImage( cvSize(w,w), 8, 3 );
- (void)argc; (void)argv;
-
- help();
- cvZero( img );
-
- for( i=0; i < 6; i++ )
- {
- int dx = (i%2)*250 - 30;
- int dy = (i/2)*150;
- CvScalar white = cvRealScalar(255);
- CvScalar black = cvRealScalar(0);
-
- if( i == 0 )
- {
- for( j = 0; j <= 10; j++ )
- {
- double angle = (j+5)*CV_PI/21;
- cvLine(img, cvPoint(cvRound(dx+100+j*10-80*cos(angle)),
- cvRound(dy+100-90*sin(angle))),
- cvPoint(cvRound(dx+100+j*10-30*cos(angle)),
- cvRound(dy+100-30*sin(angle))), white, 3, 8, 0);
- }
- }
-
- cvEllipse( img, cvPoint(dx+150, dy+100), cvSize(100,70), 0, 0, 360, white, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+115, dy+70), cvSize(30,20), 0, 0, 360, black, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+185, dy+70), cvSize(30,20), 0, 0, 360, black, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+115, dy+70), cvSize(15,15), 0, 0, 360, white, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+185, dy+70), cvSize(15,15), 0, 0, 360, white, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+115, dy+70), cvSize(5,5), 0, 0, 360, black, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+185, dy+70), cvSize(5,5), 0, 0, 360, black, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+150, dy+100), cvSize(10,5), 0, 0, 360, black, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+150, dy+150), cvSize(40,10), 0, 0, 360, black, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+27, dy+100), cvSize(20,35), 0, 0, 360, white, -1, 8, 0 );
- cvEllipse( img, cvPoint(dx+273, dy+100), cvSize(20,35), 0, 0, 360, white, -1, 8, 0 );
- }
-
- cvNamedWindow( "image", 1 );
- cvShowImage( "image", img );
- cvConvert( img, img32f );
- findCComp( img32f );
- cvConvert( img32f, img32s );
-
- cvFindContours( img32s, storage, &contours, sizeof(CvContour),
- CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
-
- //cvFindContours( img, storage, &contours, sizeof(CvContour),
- // CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
-
-
- {
- const char* attrs[] = {"recursive", "1", 0};
- cvSave("contours.xml", contours, 0, 0, cvAttrList(attrs, 0));
- contours = (CvSeq*)cvLoad("contours.xml", storage, 0, 0);
- }
-
- // comment this out if you do not want approximation
- contours = cvApproxPoly( contours, sizeof(CvContour), storage, CV_POLY_APPROX_DP, 3, 1 );
-
- cvNamedWindow( "contours", 1 );
- cvCreateTrackbar( "levels+3", "contours", &levels, 7, on_trackbar );
-
- {
- CvRNG rng = cvRNG(-1);
-
- CvSeq* tcontours = contours;
- cvCvtColor( img, img3, CV_GRAY2BGR );
- while( tcontours->h_next )
- tcontours = tcontours->h_next;
-
- for( ; tcontours != 0; tcontours = tcontours->h_prev )
- {
- CvScalar color;
- color.val[0] = cvRandInt(&rng) % 256;
- color.val[1] = cvRandInt(&rng) % 256;
- color.val[2] = cvRandInt(&rng) % 256;
- color.val[3] = cvRandInt(&rng) % 256;
- cvDrawContours(img3, tcontours, color, color, 0, -1, 8, cvPoint(0,0));
- if( tcontours->v_next )
- {
- color.val[0] = cvRandInt(&rng) % 256;
- color.val[1] = cvRandInt(&rng) % 256;
- color.val[2] = cvRandInt(&rng) % 256;
- color.val[3] = cvRandInt(&rng) % 256;
- cvDrawContours(img3, tcontours->v_next, color, color, 1, -1, 8, cvPoint(0,0));
- }
- }
-
- }
-
- cvShowImage( "colored", img3 );
- on_trackbar(0);
- cvWaitKey(0);
- cvReleaseMemStorage( &storage );
- cvReleaseImage( &img );
- cvReleaseImage( &img32f );
- cvReleaseImage( &img32s );
- cvReleaseImage( &img3 );
-
- return 0;
-}
-
-#ifdef _EiC
-main(1,"");
-#endif
diff --git a/samples/c/cvsample.dsp b/samples/c/cvsample.dsp
deleted file mode 100644
index 71fcf28f3..000000000
--- a/samples/c/cvsample.dsp
+++ /dev/null
@@ -1,92 +0,0 @@
-# Microsoft Developer Studio Project File - Name="cvsample" - Package Owner=<4>
-# Microsoft Developer Studio Generated Build File, Format Version 6.00
-# ** DO NOT EDIT **
-
-# TARGTYPE "Win32 (x86) Console Application" 0x0103
-
-CFG=cvsample - Win32 Release
-!MESSAGE This is not a valid makefile. To build this project using NMAKE,
-!MESSAGE use the Export Makefile command and run
-!MESSAGE
-!MESSAGE NMAKE /f "cvsample.mak".
-!MESSAGE
-!MESSAGE You can specify a configuration when running NMAKE
-!MESSAGE by defining the macro CFG on the command line. For example:
-!MESSAGE
-!MESSAGE NMAKE /f "cvsample.mak" CFG="cvsample - Win32 Release"
-!MESSAGE
-!MESSAGE Possible choices for configuration are:
-!MESSAGE
-!MESSAGE "cvsample - Win32 Release" (based on "Win32 (x86) Console Application")
-!MESSAGE "cvsample - Win32 Debug" (based on "Win32 (x86) Console Application")
-!MESSAGE
-
-# Begin Project
-# PROP AllowPerConfigDependencies 0
-# PROP Scc_ProjName ""
-# PROP Scc_LocalPath ""
-CPP=cl.exe
-RSC=rc.exe
-
-!IF "$(CFG)" == "cvsample - Win32 Release"
-
-# PROP BASE Use_MFC 0
-# PROP BASE Use_Debug_Libraries 0
-# PROP BASE Output_Dir "Release"
-# PROP BASE Intermediate_Dir "Release"
-# PROP BASE Target_Dir ""
-# PROP Use_MFC 0
-# PROP Use_Debug_Libraries 0
-# PROP Output_Dir "..\..\_temp\cvsample_Release"
-# PROP Intermediate_Dir "..\..\_temp\cvsample_Release"
-# PROP Ignore_Export_Lib 0
-# PROP Target_Dir ""
-F90=df.exe
-# ADD BASE CPP /nologo /W3 /GX /O2 /D "WIN32" /D "NDEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /c
-# ADD CPP /nologo /MD /W4 /Gm /GX /Zi /O2 /I "../../cxcore/include" /I "../../cv/include" /I "../../otherlibs/highgui" /D "WIN32" /D "NDEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /c
-# ADD BASE RSC /l 0x409 /d "NDEBUG"
-# ADD RSC /l 0x409 /d "NDEBUG"
-BSC32=bscmake.exe
-# ADD BASE BSC32 /nologo
-# ADD BSC32 /nologo
-LINK32=link.exe
-# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /machine:I386
-# ADD LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib cxcore.lib cv.lib highgui.lib /nologo /subsystem:console /debug /machine:I386 /nodefaultlib:"libmmd.lib" /out:".\cvsample.exe" /libpath:"../../lib"
-
-!ELSEIF "$(CFG)" == "cvsample - Win32 Debug"
-
-# PROP BASE Use_MFC 0
-# PROP BASE Use_Debug_Libraries 1
-# PROP BASE Output_Dir "Debug"
-# PROP BASE Intermediate_Dir "Debug"
-# PROP BASE Target_Dir ""
-# PROP Use_MFC 0
-# PROP Use_Debug_Libraries 1
-# PROP Output_Dir "..\..\_temp\cvsample_Debug"
-# PROP Intermediate_Dir "..\..\_temp\cvsample_Debug"
-# PROP Ignore_Export_Lib 0
-# PROP Target_Dir ""
-F90=df.exe
-# ADD BASE CPP /nologo /W3 /Gm /GX /ZI /Od /D "WIN32" /D "_DEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /GZ /c
-# ADD CPP /nologo /MDd /W4 /Gm /GX /Zi /Od /I "../../cxcore/include" /I "../../cv/include" /I "../../otherlibs/highgui" /D "WIN32" /D "_DEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /GZ /c
-# ADD BASE RSC /l 0x409 /d "_DEBUG"
-# ADD RSC /l 0x409 /d "_DEBUG"
-BSC32=bscmake.exe
-# ADD BASE BSC32 /nologo
-# ADD BSC32 /nologo
-LINK32=link.exe
-# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /debug /machine:I386 /pdbtype:sept
-# ADD LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib cxcored.lib cvd.lib highguid.lib /nologo /subsystem:console /debug /machine:I386 /nodefaultlib:"libmmdd.lib" /out:".\cvsampled.exe" /pdbtype:sept /libpath:"../../lib"
-
-!ENDIF
-
-# Begin Target
-
-# Name "cvsample - Win32 Release"
-# Name "cvsample - Win32 Debug"
-# Begin Source File
-
-SOURCE=.\squares.c
-# End Source File
-# End Target
-# End Project
diff --git a/samples/c/cvsample.vs2005.vcproj b/samples/c/cvsample.vs2005.vcproj
deleted file mode 100644
index 18d2f06b2..000000000
--- a/samples/c/cvsample.vs2005.vcproj
+++ /dev/null
@@ -1,413 +0,0 @@
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diff --git a/samples/c/example_cmake/CMakeLists.txt b/samples/c/example_cmake/CMakeLists.txt
deleted file mode 100644
index 85129a752..000000000
--- a/samples/c/example_cmake/CMakeLists.txt
+++ /dev/null
@@ -1,18 +0,0 @@
-PROJECT(opencv_example)
-
-CMAKE_MINIMUM_REQUIRED(VERSION 2.6)
-if(COMMAND cmake_policy)
- cmake_policy(SET CMP0003 NEW)
-endif(COMMAND cmake_policy)
-
-FIND_PACKAGE( OpenCV REQUIRED )
-
-# Declare the target (an executable)
-ADD_EXECUTABLE(opencv_example minarea.c)
-
-TARGET_LINK_LIBRARIES(opencv_example ${OpenCV_LIBS})
-
-#MESSAGE(STATUS "OpenCV_LIBS: ${OpenCV_LIBS}")
-
-
-
diff --git a/samples/c/example_cmake/README.txt b/samples/c/example_cmake/README.txt
deleted file mode 100644
index 7bf53e7ac..000000000
--- a/samples/c/example_cmake/README.txt
+++ /dev/null
@@ -1,32 +0,0 @@
-Example for CMake build system.
-
-Compile OpenCV with cmake, preferently in an off-tree build, for example:
-
- $ mkdir opencv-release
- $ cd opencv-release
- $ cmake
- $ make
-
-And, *only optionally*, install it with.
- $ sudo make install
-
-Then create the binary directory for the example with:
- $ mkdir example-release
- $ cd example-release
-
-Then, if "make install" have been executed, directly running
- $ cmake /samples/c/example_cmake/
-
-will detect the "OpenCVConfig.cmake" file and the project is ready to compile.
-
-If "make install" has not been executed, you'll have to manually pick the opencv
-binary directory (Under Windows CMake may remember the correct directory). Open
-the CMake gui with:
- $ cmake-gui /samples/c/example_cmake/
-
-And pick the correct value for OpenCV_DIR.
-
-
-
-
-
diff --git a/samples/c/example_cmake/minarea.c b/samples/c/example_cmake/minarea.c
deleted file mode 100644
index 916acb0ef..000000000
--- a/samples/c/example_cmake/minarea.c
+++ /dev/null
@@ -1,117 +0,0 @@
-#ifdef _CH_
-#pragma package
-#endif
-
-#ifndef _EiC
-#include "cv.h"
-#include "highgui.h"
-#include
-#include
-#endif
-
-#define ARRAY 1
-
-void help()
-{
- printf("\nThis program demonstrates finding the minimum enclosing box or circle of a set\n"
- "of points using functions: minAreaRect() minEnclosingCircle().\n"
- "Random points are generated and then enclosed.\n"
- "Call:\n"
- "./minarea\n");
-}
-
-int main( int argc, char** argv )
-{
- IplImage* img = cvCreateImage( cvSize( 500, 500 ), 8, 3 );
-#if !ARRAY
- CvMemStorage* storage = cvCreateMemStorage(0);
-#endif
- help();
- cvNamedWindow( "rect & circle", 1 );
-
- for(;;)
- {
- char key;
- int i, count = rand()%100 + 1;
- CvPoint pt0, pt;
- CvBox2D box;
- CvPoint2D32f box_vtx[4];
- CvPoint2D32f center;
- CvPoint icenter;
- float radius;
-#if !ARRAY
- CvSeq* ptseq = cvCreateSeq( CV_SEQ_KIND_GENERIC|CV_32SC2, sizeof(CvContour),
- sizeof(CvPoint), storage );
- for( i = 0; i < count; i++ )
- {
- pt0.x = rand() % (img->width/2) + img->width/4;
- pt0.y = rand() % (img->height/2) + img->height/4;
- cvSeqPush( ptseq, &pt0 );
- }
-#ifndef _EiC /* unfortunately, here EiC crashes */
- box = cvMinAreaRect2( ptseq, 0 );
-#endif
- cvMinEnclosingCircle( ptseq, ¢er, &radius );
-#else
- CvPoint* points = (CvPoint*)malloc( count * sizeof(points[0]));
- CvMat pointMat = cvMat( 1, count, CV_32SC2, points );
-
- for( i = 0; i < count; i++ )
- {
- pt0.x = rand() % (img->width/2) + img->width/4;
- pt0.y = rand() % (img->height/2) + img->height/4;
- points[i] = pt0;
- }
-#ifndef _EiC
- box = cvMinAreaRect2( &pointMat, 0 );
-#endif
- cvMinEnclosingCircle( &pointMat, ¢er, &radius );
-#endif
- cvBoxPoints( box, box_vtx );
- cvZero( img );
- for( i = 0; i < count; i++ )
- {
-#if !ARRAY
- pt0 = *CV_GET_SEQ_ELEM( CvPoint, ptseq, i );
-#else
- pt0 = points[i];
-#endif
- cvCircle( img, pt0, 2, CV_RGB( 255, 0, 0 ), CV_FILLED, CV_AA, 0 );
- }
-
-#ifndef _EiC
- pt0.x = cvRound(box_vtx[3].x);
- pt0.y = cvRound(box_vtx[3].y);
- for( i = 0; i < 4; i++ )
- {
- pt.x = cvRound(box_vtx[i].x);
- pt.y = cvRound(box_vtx[i].y);
- cvLine(img, pt0, pt, CV_RGB(0, 255, 0), 1, CV_AA, 0);
- pt0 = pt;
- }
-#endif
- icenter.x = cvRound(center.x);
- icenter.y = cvRound(center.y);
- cvCircle( img, icenter, cvRound(radius), CV_RGB(255, 255, 0), 1, CV_AA, 0 );
-
- cvShowImage( "rect & circle", img );
-
- key = (char) cvWaitKey(0);
- if( key == 27 || key == 'q' || key == 'Q' ) // 'ESC'
- break;
-
-#if !ARRAY
- cvClearMemStorage( storage );
-#else
- free( points );
-#endif
- }
-
- cvDestroyWindow( "rect & circle" );
- return 0;
-}
-
-#ifdef _EiC
-main(1,"convexhull.c");
-#endif
-
diff --git a/samples/c/facedetect.cmd b/samples/c/facedetect.cmd
deleted file mode 100644
index c5dcef3aa..000000000
--- a/samples/c/facedetect.cmd
+++ /dev/null
@@ -1,2 +0,0 @@
-REM an example of using haar cascade recognition for face and eye detection.
-facedetect --cascade="../../data/haarcascades/haarcascade_frontalface_alt.xml" --nested-cascade="../../data/haarcascades/haarcascade_eye.xml" --scale=1.3 %1
diff --git a/samples/c/fruits.jpg b/samples/c/fruits.jpg
deleted file mode 100644
index a89b84a58..000000000
Binary files a/samples/c/fruits.jpg and /dev/null differ
diff --git a/samples/c/intrinsics.yml b/samples/c/intrinsics.yml
deleted file mode 100644
index 70c615187..000000000
--- a/samples/c/intrinsics.yml
+++ /dev/null
@@ -1,23 +0,0 @@
-%YAML:1.0
-M1: !!opencv-matrix
- rows: 3
- cols: 3
- dt: d
- data: [ 5.3480326845051309e+02, 0., 3.3568643204394891e+02, 0.,
- 5.3480326845051309e+02, 2.4066183054066337e+02, 0., 0., 1. ]
-D1: !!opencv-matrix
- rows: 1
- cols: 5
- dt: d
- data: [ 2.9589439552724328e-01, -1.0354662043042675e+00, 0., 0., 0. ]
-M2: !!opencv-matrix
- rows: 3
- cols: 3
- dt: d
- data: [ 5.3480326845051309e+02, 0., 3.3455744527912015e+02, 0.,
- 5.3480326845051309e+02, 2.4205324573376600e+02, 0., 0., 1. ]
-D2: !!opencv-matrix
- rows: 1
- cols: 5
- dt: d
- data: [ -1.6916358306948096e-01, -1.1214173641213163e-01, 0., 0., 0. ]
diff --git a/samples/c/lena.jpg b/samples/c/lena.jpg
deleted file mode 100644
index f06aa74a5..000000000
Binary files a/samples/c/lena.jpg and /dev/null differ
diff --git a/samples/c/mushroom.cpp b/samples/c/mushroom.cpp
deleted file mode 100644
index 5763b1246..000000000
--- a/samples/c/mushroom.cpp
+++ /dev/null
@@ -1,322 +0,0 @@
-#include "opencv2/core/core_c.h"
-#include "opencv2/ml/ml.hpp"
-#include
-
-static void help()
-{
- printf("\nThis program demonstrated the use of OpenCV's decision tree function for learning and predicting data\n"
- "Usage :\n"
- "./mushroom \n"
- "\n"
- "The sample demonstrates how to build a decision tree for classifying mushrooms.\n"
- "It uses the sample base agaricus-lepiota.data from UCI Repository, here is the link:\n"
- "\n"
- "Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998).\n"
- "UCI Repository of machine learning databases\n"
- "[http://www.ics.uci.edu/~mlearn/MLRepository.html].\n"
- "Irvine, CA: University of California, Department of Information and Computer Science.\n"
- "\n"
- "// loads the mushroom database, which is a text file, containing\n"
- "// one training sample per row, all the input variables and the output variable are categorical,\n"
- "// the values are encoded by characters.\n\n");
-}
-
-static int mushroom_read_database( const char* filename, CvMat** data, CvMat** missing, CvMat** responses )
-{
- const int M = 1024;
- FILE* f = fopen( filename, "rt" );
- CvMemStorage* storage;
- CvSeq* seq;
- char buf[M+2], *ptr;
- float* el_ptr;
- CvSeqReader reader;
- int i, j, var_count = 0;
-
- if( !f )
- return 0;
-
- // read the first line and determine the number of variables
- if( !fgets( buf, M, f ))
- {
- fclose(f);
- return 0;
- }
-
- for( ptr = buf; *ptr != '\0'; ptr++ )
- var_count += *ptr == ',';
- assert( ptr - buf == (var_count+1)*2 );
-
- // create temporary memory storage to store the whole database
- el_ptr = new float[var_count+1];
- storage = cvCreateMemStorage();
- seq = cvCreateSeq( 0, sizeof(*seq), (var_count+1)*sizeof(float), storage );
-
- for(;;)
- {
- for( i = 0; i <= var_count; i++ )
- {
- int c = buf[i*2];
- el_ptr[i] = c == '?' ? -1.f : (float)c;
- }
- if( i != var_count+1 )
- break;
- cvSeqPush( seq, el_ptr );
- if( !fgets( buf, M, f ) || !strchr( buf, ',' ) )
- break;
- }
- fclose(f);
-
- // allocate the output matrices and copy the base there
- *data = cvCreateMat( seq->total, var_count, CV_32F );
- *missing = cvCreateMat( seq->total, var_count, CV_8U );
- *responses = cvCreateMat( seq->total, 1, CV_32F );
-
- cvStartReadSeq( seq, &reader );
-
- for( i = 0; i < seq->total; i++ )
- {
- const float* sdata = (float*)reader.ptr + 1;
- float* ddata = data[0]->data.fl + var_count*i;
- float* dr = responses[0]->data.fl + i;
- uchar* dm = missing[0]->data.ptr + var_count*i;
-
- for( j = 0; j < var_count; j++ )
- {
- ddata[j] = sdata[j];
- dm[j] = sdata[j] < 0;
- }
- *dr = sdata[-1];
- CV_NEXT_SEQ_ELEM( seq->elem_size, reader );
- }
-
- cvReleaseMemStorage( &storage );
- delete el_ptr;
- return 1;
-}
-
-
-static CvDTree* mushroom_create_dtree( const CvMat* data, const CvMat* missing,
- const CvMat* responses, float p_weight )
-{
- CvDTree* dtree;
- CvMat* var_type;
- int i, hr1 = 0, hr2 = 0, p_total = 0;
- float priors[] = { 1, p_weight };
-
- var_type = cvCreateMat( data->cols + 1, 1, CV_8U );
- cvSet( var_type, cvScalarAll(CV_VAR_CATEGORICAL) ); // all the variables are categorical
-
- dtree = new CvDTree;
-
- dtree->train( data, CV_ROW_SAMPLE, responses, 0, 0, var_type, missing,
- CvDTreeParams( 8, // max depth
- 10, // min sample count
- 0, // regression accuracy: N/A here
- true, // compute surrogate split, as we have missing data
- 15, // max number of categories (use sub-optimal algorithm for larger numbers)
- 10, // the number of cross-validation folds
- true, // use 1SE rule => smaller tree
- true, // throw away the pruned tree branches
- priors // the array of priors, the bigger p_weight, the more attention
- // to the poisonous mushrooms
- // (a mushroom will be judjed to be poisonous with bigger chance)
- ));
-
- // compute hit-rate on the training database, demonstrates predict usage.
- for( i = 0; i < data->rows; i++ )
- {
- CvMat sample, mask;
- cvGetRow( data, &sample, i );
- cvGetRow( missing, &mask, i );
- double r = dtree->predict( &sample, &mask )->value;
- int d = fabs(r - responses->data.fl[i]) >= FLT_EPSILON;
- if( d )
- {
- if( r != 'p' )
- hr1++;
- else
- hr2++;
- }
- p_total += responses->data.fl[i] == 'p';
- }
-
- printf( "Results on the training database:\n"
- "\tPoisonous mushrooms mis-predicted: %d (%g%%)\n"
- "\tFalse-alarms: %d (%g%%)\n", hr1, (double)hr1*100/p_total,
- hr2, (double)hr2*100/(data->rows - p_total) );
-
- cvReleaseMat( &var_type );
-
- return dtree;
-}
-
-
-static const char* var_desc[] =
-{
- "cap shape (bell=b,conical=c,convex=x,flat=f)",
- "cap surface (fibrous=f,grooves=g,scaly=y,smooth=s)",
- "cap color (brown=n,buff=b,cinnamon=c,gray=g,green=r,\n\tpink=p,purple=u,red=e,white=w,yellow=y)",
- "bruises? (bruises=t,no=f)",
- "odor (almond=a,anise=l,creosote=c,fishy=y,foul=f,\n\tmusty=m,none=n,pungent=p,spicy=s)",
- "gill attachment (attached=a,descending=d,free=f,notched=n)",
- "gill spacing (close=c,crowded=w,distant=d)",
- "gill size (broad=b,narrow=n)",
- "gill color (black=k,brown=n,buff=b,chocolate=h,gray=g,\n\tgreen=r,orange=o,pink=p,purple=u,red=e,white=w,yellow=y)",
- "stalk shape (enlarging=e,tapering=t)",
- "stalk root (bulbous=b,club=c,cup=u,equal=e,rhizomorphs=z,rooted=r)",
- "stalk surface above ring (ibrous=f,scaly=y,silky=k,smooth=s)",
- "stalk surface below ring (ibrous=f,scaly=y,silky=k,smooth=s)",
- "stalk color above ring (brown=n,buff=b,cinnamon=c,gray=g,orange=o,\n\tpink=p,red=e,white=w,yellow=y)",
- "stalk color below ring (brown=n,buff=b,cinnamon=c,gray=g,orange=o,\n\tpink=p,red=e,white=w,yellow=y)",
- "veil type (partial=p,universal=u)",
- "veil color (brown=n,orange=o,white=w,yellow=y)",
- "ring number (none=n,one=o,two=t)",
- "ring type (cobwebby=c,evanescent=e,flaring=f,large=l,\n\tnone=n,pendant=p,sheathing=s,zone=z)",
- "spore print color (black=k,brown=n,buff=b,chocolate=h,green=r,\n\torange=o,purple=u,white=w,yellow=y)",
- "population (abundant=a,clustered=c,numerous=n,\n\tscattered=s,several=v,solitary=y)",
- "habitat (grasses=g,leaves=l,meadows=m,paths=p\n\turban=u,waste=w,woods=d)",
- 0
-};
-
-
-static void print_variable_importance( CvDTree* dtree )
-{
- const CvMat* var_importance = dtree->get_var_importance();
- int i;
- char input[1000];
-
- if( !var_importance )
- {
- printf( "Error: Variable importance can not be retrieved\n" );
- return;
- }
-
- printf( "Print variable importance information? (y/n) " );
- int values_read = scanf( "%1s", input );
- CV_Assert(values_read == 1);
-
- if( input[0] != 'y' && input[0] != 'Y' )
- return;
-
- for( i = 0; i < var_importance->cols*var_importance->rows; i++ )
- {
- double val = var_importance->data.db[i];
- char buf[100];
- int len = (int)(strchr( var_desc[i], '(' ) - var_desc[i] - 1);
- strncpy( buf, var_desc[i], len );
- buf[len] = '\0';
- printf( "%s", buf );
- printf( ": %g%%\n", val*100. );
- }
-}
-
-static void interactive_classification( CvDTree* dtree )
-{
- char input[1000];
- const CvDTreeNode* root;
- CvDTreeTrainData* data;
-
- if( !dtree )
- return;
-
- root = dtree->get_root();
- data = dtree->get_data();
-
- for(;;)
- {
- const CvDTreeNode* node;
-
- printf( "Start/Proceed with interactive mushroom classification (y/n): " );
- int values_read = scanf( "%1s", input );
- CV_Assert(values_read == 1);
-
- if( input[0] != 'y' && input[0] != 'Y' )
- break;
- printf( "Enter 1-letter answers, '?' for missing/unknown value...\n" );
-
- // custom version of predict
- node = root;
- for(;;)
- {
- CvDTreeSplit* split = node->split;
- int dir = 0;
-
- if( !node->left || node->Tn <= dtree->get_pruned_tree_idx() || !node->split )
- break;
-
- for( ; split != 0; )
- {
- int vi = split->var_idx, j;
- int count = data->cat_count->data.i[vi];
- const int* map = data->cat_map->data.i + data->cat_ofs->data.i[vi];
-
- printf( "%s: ", var_desc[vi] );
- values_read = scanf( "%1s", input );
- CV_Assert(values_read == 1);
-
- if( input[0] == '?' )
- {
- split = split->next;
- continue;
- }
-
- // convert the input character to the normalized value of the variable
- for( j = 0; j < count; j++ )
- if( map[j] == input[0] )
- break;
- if( j < count )
- {
- dir = (split->subset[j>>5] & (1 << (j&31))) ? -1 : 1;
- if( split->inversed )
- dir = -dir;
- break;
- }
- else
- printf( "Error: unrecognized value\n" );
- }
-
- if( !dir )
- {
- printf( "Impossible to classify the sample\n");
- node = 0;
- break;
- }
- node = dir < 0 ? node->left : node->right;
- }
-
- if( node )
- printf( "Prediction result: the mushroom is %s\n",
- node->class_idx == 0 ? "EDIBLE" : "POISONOUS" );
- printf( "\n-----------------------------\n" );
- }
-}
-
-
-int main( int argc, char** argv )
-{
- CvMat *data = 0, *missing = 0, *responses = 0;
- CvDTree* dtree;
- const char* base_path = argc >= 2 ? argv[1] : "agaricus-lepiota.data";
-
- help();
-
- if( !mushroom_read_database( base_path, &data, &missing, &responses ) )
- {
- printf( "\nUnable to load the training database\n\n");
- help();
- return -1;
- }
-
- dtree = mushroom_create_dtree( data, missing, responses,
- 10 // poisonous mushrooms will have 10x higher weight in the decision tree
- );
- cvReleaseMat( &data );
- cvReleaseMat( &missing );
- cvReleaseMat( &responses );
-
- print_variable_importance( dtree );
- interactive_classification( dtree );
- delete dtree;
-
- return 0;
-}
diff --git a/samples/c/one_way_train_0000.jpg b/samples/c/one_way_train_0000.jpg
deleted file mode 100644
index 457820e90..000000000
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diff --git a/samples/c/one_way_train_0001.jpg b/samples/c/one_way_train_0001.jpg
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index 7f3990f4e..000000000
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diff --git a/samples/c/one_way_train_images.txt b/samples/c/one_way_train_images.txt
deleted file mode 100644
index eefa571d5..000000000
--- a/samples/c/one_way_train_images.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-one_way_train_0000.jpg
-one_way_train_0001.jpg
diff --git a/samples/c/puzzle.png b/samples/c/puzzle.png
deleted file mode 100644
index 499ceacd3..000000000
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diff --git a/samples/c/scene_l.bmp b/samples/c/scene_l.bmp
deleted file mode 100644
index dd3b619e4..000000000
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diff --git a/samples/c/scene_r.bmp b/samples/c/scene_r.bmp
deleted file mode 100644
index 2b6c8d63b..000000000
Binary files a/samples/c/scene_r.bmp and /dev/null differ
diff --git a/samples/c/stuff.jpg b/samples/c/stuff.jpg
deleted file mode 100644
index 720d3413c..000000000
Binary files a/samples/c/stuff.jpg and /dev/null differ
diff --git a/samples/c/tree.avi b/samples/c/tree.avi
deleted file mode 100644
index 8c7ff14a3..000000000
Binary files a/samples/c/tree.avi and /dev/null differ
diff --git a/samples/c/waveform.data b/samples/c/waveform.data
deleted file mode 100644
index 179e51af1..000000000
--- a/samples/c/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
-1.32,-0.40,-0.69,4.17,3.66,4.00,5.24,3.88,2.17,1.82,3.65,1.01,1.82,1.13,-0.07,0.26,0.50,1.38,1.25,-1.34,0.53,0
--0.93,2.48,1.20,2.97,2.91,3.57,3.68,4.19,3.22,3.53,2.46,2.17,0.77,0.52,2.42,-0.89,0.51,-0.39,0.82,0.14,-0.63,1
--1.06,0.59,1.01,3.33,2.05,3.20,4.70,4.21,4.73,2.22,2.67,2.79,2.05,-1.53,-1.54,0.37,-0.09,1.04,-0.08,-0.27,0.47,1
-1.86,0.37,-0.35,0.74,0.84,0.21,1.97,1.52,1.85,2.39,3.92,3.76,3.27,1.61,3.08,2.78,1.58,1.68,2.61,-0.91,-0.27,2
--0.51,-0.48,0.35,-1.67,0.26,2.45,-0.09,2.03,0.79,1.42,1.13,2.52,2.06,4.50,4.28,4.66,3.30,0.38,0.75,1.76,0.37,0
-1.16,-1.19,-2.26,0.63,0.32,1.51,2.11,2.58,1.03,2.01,4.04,4.55,5.65,2.74,3.12,2.67,2.01,4.12,-0.81,0.07,-0.96,2
--0.09,2.30,-0.43,0.36,0.11,-1.20,1.47,2.25,3.50,2.14,6.68,5.45,2.22,2.79,2.61,1.87,0.48,1.98,1.64,1.32,0.71,2
--1.43,-0.46,-0.52,1.45,-0.00,1.35,1.39,0.81,0.03,1.39,2.55,2.42,3.07,5.46,6.29,6.50,4.60,3.77,1.62,1.01,-1.86,0
--1.09,-0.22,0.11,-1.03,1.09,1.72,1.91,3.61,2.22,4.67,4.02,5.32,1.63,2.02,0.40,1.37,1.80,-0.59,-1.22,-0.10,-1.56,1
--0.95,-1.28,0.68,-0.31,-1.04,1.86,-0.13,0.16,-1.05,-0.24,1.47,2.30,4.23,4.70,7.40,6.18,3.00,3.84,2.33,1.28,0.08,2
-0.97,0.72,-0.64,-0.87,0.66,0.80,-0.47,0.55,0.57,0.30,1.97,2.48,3.13,2.53,6.35,5.24,4.37,3.77,0.47,2.25,-0.30,0
-0.31,-0.34,-1.32,-1.24,-1.28,-0.02,-1.80,0.11,3.29,3.63,3.32,3.75,5.93,5.41,4.94,5.15,2.07,3.62,1.56,0.05,-0.31,2
--1.57,1.23,2.03,2.07,3.88,4.71,4.44,3.76,5.00,4.49,3.59,2.05,1.83,0.64,-0.21,0.79,-1.42,-0.73,-2.04,2.65,-0.26,1
-0.39,0.93,0.19,-0.50,0.39,-0.58,0.13,0.85,2.63,3.32,4.41,4.24,3.59,4.06,3.42,2.33,2.04,0.83,1.16,0.81,0.91,2
--0.96,0.13,0.13,-0.70,2.89,1.26,3.48,4.36,0.59,2.37,2.02,2.62,2.75,2.60,3.66,3.06,1.41,1.09,1.25,-0.29,-0.41,0
-0.36,0.40,0.73,1.91,1.44,3.17,2.72,3.60,1.02,3.27,1.06,1.54,3.44,2.45,2.58,-0.48,1.02,-0.01,2.42,0.71,-0.81,0
-1.22,-0.19,1.38,0.16,0.14,3.07,4.07,5.37,4.33,3.96,6.73,2.16,2.83,1.27,1.57,0.73,0.80,0.15,-0.99,0.60,0.13,1
--1.07,1.18,-0.22,1.13,0.01,0.33,0.76,1.20,2.44,2.32,4.24,3.25,4.78,4.18,3.28,2.91,-0.04,2.57,0.91,1.46,0.39,2
-1.01,0.40,1.01,0.60,2.77,1.70,1.44,4.01,5.26,4.47,4.67,4.55,2.91,0.30,1.62,0.92,-0.46,0.51,1.43,-0.05,-1.80,1
--0.73,-0.31,-1.88,-1.40,0.46,1.44,3.38,2.93,5.07,6.01,6.30,3.41,4.52,4.66,1.06,0.65,0.29,1.26,-1.04,-0.72,-0.71,2
--0.47,0.46,4.50,3.10,3.39,4.79,6.43,3.70,4.09,2.03,0.87,1.78,-0.78,-1.88,-2.09,0.29,0.01,0.06,-0.76,1.50,0.50,0
-0.20,1.35,-0.74,-0.21,4.44,3.82,5.31,4.13,2.85,1.81,-1.38,1.08,0.65,-0.38,0.64,-0.38,0.23,0.75,1.05,2.09,-0.07,0
--0.84,0.96,2.33,4.86,5.01,5.57,6.62,4.60,3.42,2.86,0.31,0.53,0.20,-1.77,-0.41,-0.36,0.56,-0.15,0.26,-0.89,0.86,0
-0.34,1.39,-0.71,-0.03,-1.56,1.10,-0.10,0.95,0.91,0.96,3.23,2.56,2.90,5.67,4.88,6.35,2.10,2.03,-0.43,1.70,1.91,2
-1.66,-0.55,-0.40,-0.63,0.88,0.82,1.45,1.61,1.73,2.70,3.92,0.51,5.15,4.14,4.24,5.35,2.93,4.78,1.77,1.12,-0.94,2
--1.85,0.05,1.25,1.62,0.54,0.22,0.05,-0.19,0.32,3.64,1.91,3.03,2.77,5.21,4.89,3.30,5.68,3.59,0.98,1.46,-0.70,2
-0.93,1.48,1.01,-0.30,0.95,0.73,0.27,3.66,3.02,3.87,2.60,3.15,4.65,3.87,3.37,0.73,2.61,2.16,2.10,1.86,-0.03,2
--0.94,1.51,1.41,2.49,1.54,2.29,4.48,4.10,2.39,1.51,1.09,1.32,0.72,4.28,2.25,0.06,0.76,0.53,-0.01,0.98,-1.48,0
-1.72,1.47,2.62,3.11,1.14,3.17,3.93,4.51,3.11,3.96,2.69,1.27,0.48,1.47,2.20,0.79,2.05,-0.00,0.60,-2.16,-0.59,1
--0.67,0.49,0.55,-1.08,0.84,4.56,2.20,4.51,4.96,4.44,4.92,4.08,1.54,2.31,2.71,2.16,1.59,1.48,0.86,-0.14,2.03,1
-0.25,0.56,2.37,1.03,0.21,-0.72,1.73,0.34,0.64,1.84,2.98,2.30,4.71,5.47,4.83,4.21,2.42,1.78,1.69,-0.18,0.65,0
--0.78,0.02,2.51,2.81,2.37,3.17,4.55,4.02,2.87,3.02,1.45,1.29,1.22,1.22,-1.20,0.91,0.34,-0.32,1.47,-0.29,0.68,1
--2.80,1.05,0.18,2.46,1.19,3.40,4.22,3.53,4.36,4.60,4.28,3.56,1.80,-0.75,-0.00,2.31,0.99,-0.10,1.49,-0.71,1.59,1
-0.08,2.22,2.23,0.41,-0.21,2.27,0.78,0.11,3.39,0.57,-0.18,5.00,4.08,4.03,6.77,4.89,4.26,4.63,1.78,1.87,-0.10,2
-1.91,1.66,1.61,3.71,1.26,4.74,4.57,2.65,4.80,3.47,1.42,2.75,0.33,1.88,1.63,1.42,1.12,0.81,-1.30,0.85,-1.98,0
-0.46,-2.24,-0.01,0.68,1.01,2.45,2.31,0.52,1.40,3.52,2.97,1.87,5.68,6.38,4.48,4.96,0.66,1.91,0.88,0.45,-0.22,2
-0.60,-0.30,-2.65,-0.49,0.18,-1.13,0.22,1.48,3.13,1.90,2.91,3.86,4.04,3.76,3.69,2.70,0.46,2.11,-0.45,1.73,-0.61,2
--0.59,0.11,-0.90,2.62,5.15,2.82,6.70,4.69,5.16,3.29,3.26,1.24,1.65,1.99,-1.25,2.59,0.70,1.97,0.56,-0.51,1.90,1
--0.18,0.22,1.68,-0.98,-0.57,1.41,-0.66,0.21,1.69,2.01,2.17,2.11,4.98,4.81,4.42,4.10,3.65,2.80,0.44,-0.51,0.70,2
--0.80,0.75,1.73,1.09,0.71,3.20,1.87,-0.52,0.96,0.72,2.15,3.32,2.91,4.37,2.58,4.32,0.83,0.60,1.60,1.17,1.64,0
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-1.02,0.06,0.30,0.84,-0.25,-0.26,2.53,1.15,0.95,1.22,1.11,2.94,3.05,3.20,4.35,5.02,5.09,2.43,2.44,-0.14,-0.10,0
--1.22,-1.50,0.23,-1.61,0.02,0.11,-0.81,0.24,2.71,1.89,4.16,4.35,3.75,4.22,3.88,2.92,3.27,1.12,2.02,2.04,0.91,2
-1.32,-1.88,0.10,3.29,2.94,3.37,4.30,5.32,4.94,5.46,4.57,3.87,1.42,1.61,0.01,1.11,-1.93,-0.83,0.81,1.63,0.11,1
-0.67,-0.16,-1.29,1.40,1.11,2.42,3.32,3.18,2.85,5.55,5.91,4.10,4.25,1.87,1.32,-0.83,0.28,0.53,-0.39,-0.55,1.03,1
-0.66,-1.19,0.18,-0.97,0.91,3.55,3.19,3.15,4.18,4.01,5.24,4.79,3.12,3.85,1.07,2.09,-0.49,0.37,0.65,2.41,0.04,1
--0.08,1.08,1.04,1.18,1.96,0.09,2.16,0.53,0.43,3.10,2.30,3.40,2.92,5.94,4.53,6.71,4.59,1.03,1.91,1.51,-0.31,0
-0.41,-0.14,-1.23,0.18,0.33,0.58,1.79,1.47,4.92,3.13,4.09,4.00,5.18,3.47,1.94,2.34,1.08,0.31,-0.18,-1.80,0.09,2
--1.46,-0.89,1.13,-0.61,-1.21,2.18,1.47,1.51,2.38,3.47,6.88,5.54,2.60,2.83,0.36,1.55,0.48,0.97,0.67,-0.93,1.66,2
--1.27,1.14,-0.32,0.60,0.44,0.99,1.80,2.75,4.58,6.67,5.60,6.34,1.26,0.55,0.97,0.19,-0.69,0.52,-1.45,0.67,-0.92,1
-1.63,-0.32,0.56,0.86,-0.41,0.53,0.94,1.44,0.23,3.56,6.54,4.47,5.19,4.20,4.54,3.09,1.98,0.96,1.91,0.88,0.14,2
--0.56,-2.03,0.56,0.14,0.92,0.92,3.27,1.69,4.32,2.71,6.55,4.40,4.01,1.44,2.23,2.96,1.45,0.38,3.05,1.97,-0.54,2
--0.03,-0.29,0.07,-0.56,0.43,2.04,2.54,4.70,3.45,6.21,4.69,2.86,5.08,2.35,0.04,0.92,-0.11,-1.67,0.39,-0.41,0.41,1
-2.12,1.87,0.08,-0.97,0.39,-0.18,1.48,2.87,3.18,5.96,4.29,3.48,4.49,3.68,1.57,0.89,1.16,-0.47,0.45,0.29,0.00,2
-0.27,1.23,-0.01,1.05,1.24,-0.07,3.48,3.59,4.62,3.40,3.57,4.69,4.72,1.69,2.47,3.05,1.46,-0.30,-2.01,0.99,1.91,1
--0.11,2.01,1.18,1.28,4.05,4.98,4.26,3.57,2.44,1.04,1.83,1.78,1.33,-0.92,-0.01,1.85,1.08,-1.02,1.88,0.39,0.28,0
-0.47,0.23,-0.29,0.55,2.09,1.41,2.03,3.71,6.09,5.18,3.63,3.40,3.26,1.37,1.57,2.28,0.22,0.25,-0.06,-0.99,0.19,1
-1.13,-0.45,-1.38,-0.25,-0.76,0.84,0.69,2.65,1.10,2.69,3.23,2.66,3.17,4.96,5.23,2.06,4.29,0.87,1.71,0.51,0.22,2
-0.57,-0.19,1.86,1.03,0.09,-0.73,1.34,-1.13,0.29,2.16,1.99,1.61,2.50,5.78,4.60,5.27,5.29,2.58,2.27,2.08,0.69,2
--1.07,0.68,0.65,-0.81,-0.73,0.86,-0.17,0.51,-0.03,1.63,2.66,2.05,3.64,5.12,4.94,4.10,2.90,1.78,0.80,0.60,-0.95,0
--0.55,0.46,1.36,1.91,4.00,4.54,6.17,5.30,2.79,3.13,2.21,1.21,2.01,0.26,-0.21,-0.62,0.18,-0.75,-0.37,0.06,-0.25,1
--1.69,0.50,-0.02,-2.79,1.37,0.27,0.88,2.72,1.77,2.59,3.04,3.52,3.00,6.69,5.43,4.54,2.88,0.58,2.36,0.68,-0.15,2
--1.35,0.49,-1.21,0.59,-0.41,0.59,-0.69,0.81,2.00,1.92,3.21,4.82,4.68,4.24,3.66,4.50,3.07,2.72,1.85,0.39,0.54,2
--0.32,1.37,-0.42,3.71,2.54,4.36,5.47,3.69,3.26,2.52,2.22,0.32,1.97,1.23,0.63,2.03,0.15,1.58,-0.62,-0.42,1.22,0
-0.87,0.07,1.32,-0.05,0.95,0.35,2.22,6.05,3.00,6.16,5.67,5.63,2.59,3.02,1.34,1.88,0.76,-1.41,1.58,1.32,-0.91,1
-0.36,1.27,0.02,0.84,0.33,0.15,0.42,2.17,2.41,4.38,6.46,4.10,3.69,2.92,3.82,2.50,1.12,-0.00,-0.67,-0.53,-0.87,2
-0.20,2.55,-0.28,0.23,0.54,-0.05,1.13,-1.04,1.75,1.41,1.50,2.67,4.99,5.85,6.58,4.65,3.86,3.18,1.44,1.61,0.10,0
-0.10,-0.55,0.82,0.93,0.14,0.80,2.19,1.62,2.33,4.60,3.79,4.22,4.41,3.95,4.34,2.73,1.52,2.19,1.53,2.60,-0.39,2
-1.46,3.18,-0.26,2.10,2.28,4.72,5.49,4.88,3.13,2.69,2.63,0.88,0.80,1.09,-0.17,0.06,2.00,1.08,-1.73,-0.25,0.29,0
-0.25,1.31,2.23,0.95,3.84,3.84,3.99,3.07,3.26,2.87,1.77,1.74,0.38,0.45,2.66,2.02,0.21,-0.81,0.52,2.01,-0.07,0
--0.93,0.94,2.44,0.59,1.91,3.28,3.49,4.25,2.97,4.21,3.77,0.77,2.63,1.80,0.40,-1.05,-1.45,0.25,0.01,1.65,-1.76,1
--0.52,-0.27,0.04,0.91,-0.04,-1.33,1.60,2.34,0.82,2.57,3.39,1.69,5.08,3.87,5.38,6.00,1.06,1.28,0.93,1.78,0.67,2
--0.10,0.71,-0.62,1.18,0.02,0.32,0.19,0.69,2.17,2.41,1.85,4.80,4.76,5.70,4.18,5.06,1.31,3.98,0.98,0.48,-2.68,2
--0.65,0.69,2.29,-0.16,0.51,0.26,2.34,-0.42,0.49,0.31,0.34,4.54,3.46,4.81,5.49,5.19,3.10,3.86,2.96,1.09,-1.42,0
--0.02,0.67,2.34,3.18,2.16,4.77,6.70,4.54,4.92,3.39,2.56,1.50,1.53,2.52,1.14,-1.56,-1.18,-0.56,0.02,-1.05,-0.18,1
-0.01,-1.99,0.16,2.30,-0.53,1.93,3.61,3.00,4.61,5.73,4.53,4.25,3.14,3.04,1.61,0.60,-0.52,0.62,1.00,1.21,-0.27,1
--0.40,0.41,-0.48,1.04,0.79,-0.66,1.18,0.52,2.20,0.59,0.85,4.85,3.64,3.62,5.97,2.63,3.83,1.72,2.08,1.31,1.37,0
-0.63,-0.07,2.71,2.55,3.36,3.22,3.69,4.67,3.45,3.87,4.15,1.46,-0.52,1.90,0.88,3.15,1.27,-0.53,0.09,0.01,0.60,1
diff --git a/samples/cpp/Qt_sample/CMakeLists.txt b/samples/cpp/Qt_sample/CMakeLists.txt
deleted file mode 100644
index e831f752f..000000000
--- a/samples/cpp/Qt_sample/CMakeLists.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-#http://www.cmake.org/cmake/help/cmake2.6docs.html
-cmake_minimum_required (VERSION 2.6)
-project (OpenGL_Qt_Binding)
-
-
-FIND_PACKAGE( OpenCV REQUIRED )
-find_package (OpenGL REQUIRED)
-
-
-ADD_EXECUTABLE(OpenGL_Qt_Binding main.cpp)
-TARGET_LINK_LIBRARIES(OpenGL_Qt_Binding ${OpenCV_LIBS} ${OPENGL_LIBRARIES} )
-configure_file(${CMAKE_CURRENT_SOURCE_DIR}/cube4.avi ${CMAKE_CURRENT_BINARY_DIR}/cube4.avi COPYONLY)
diff --git a/samples/cpp/Qt_sample/cube4.avi b/samples/cpp/Qt_sample/cube4.avi
deleted file mode 100644
index 70ec42bbf..000000000
Binary files a/samples/cpp/Qt_sample/cube4.avi and /dev/null differ
diff --git a/samples/cpp/baboon.jpg b/samples/cpp/baboon.jpg
deleted file mode 100644
index 2f98d8359..000000000
Binary files a/samples/cpp/baboon.jpg and /dev/null differ
diff --git a/samples/cpp/bagofwords_classification.cpp b/samples/cpp/bagofwords_classification.cpp
deleted file mode 100644
index e24a770f8..000000000
--- a/samples/cpp/bagofwords_classification.cpp
+++ /dev/null
@@ -1,2608 +0,0 @@
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/nonfree/nonfree.hpp"
-#include "opencv2/ml/ml.hpp"
-
-#include
-#include
-#include
-#include
-
-#if defined WIN32 || defined _WIN32
-#define WIN32_LEAN_AND_MEAN
-#include
-#undef min
-#undef max
-#include "sys/types.h"
-#endif
-#include
-
-#define DEBUG_DESC_PROGRESS
-
-using namespace cv;
-using namespace std;
-
-const string paramsFile = "params.xml";
-const string vocabularyFile = "vocabulary.xml.gz";
-const string bowImageDescriptorsDir = "/bowImageDescriptors";
-const string svmsDir = "/svms";
-const string plotsDir = "/plots";
-
-static void help(char** argv)
-{
- cout << "\nThis program shows how to read in, train on and produce test results for the PASCAL VOC (Visual Object Challenge) data. \n"
- << "It shows how to use detectors, descriptors and recognition methods \n"
- "Using OpenCV version %s\n" << CV_VERSION << "\n"
- << "Call: \n"
- << "Format:\n ./" << argv[0] << " [VOC path] [result directory] \n"
- << " or: \n"
- << " ./" << argv[0] << " [VOC path] [result directory] [feature detector] [descriptor extractor] [descriptor matcher] \n"
- << "\n"
- << "Input parameters: \n"
- << "[VOC path] Path to Pascal VOC data (e.g. /home/my/VOCdevkit/VOC2010). Note: VOC2007-VOC2010 are supported. \n"
- << "[result directory] Path to result diractory. Following folders will be created in [result directory]: \n"
- << " bowImageDescriptors - to store image descriptors, \n"
- << " svms - to store trained svms, \n"
- << " plots - to store files for plots creating. \n"
- << "[feature detector] Feature detector name (e.g. SURF, FAST...) - see createFeatureDetector() function in detectors.cpp \n"
- << " Currently 12/2010, this is FAST, STAR, SIFT, SURF, MSER, GFTT, HARRIS \n"
- << "[descriptor extractor] Descriptor extractor name (e.g. SURF, SIFT) - see createDescriptorExtractor() function in descriptors.cpp \n"
- << " Currently 12/2010, this is SURF, OpponentSIFT, SIFT, OpponentSURF, BRIEF \n"
- << "[descriptor matcher] Descriptor matcher name (e.g. BruteForce) - see createDescriptorMatcher() function in matchers.cpp \n"
- << " Currently 12/2010, this is BruteForce, BruteForce-L1, FlannBased, BruteForce-Hamming, BruteForce-HammingLUT \n"
- << "\n";
-}
-
-
-
-
-
-static void makeDir( const string& dir )
-{
-#if defined WIN32 || defined _WIN32
- CreateDirectory( dir.c_str(), 0 );
-#else
- mkdir( dir.c_str(), S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH );
-#endif
-}
-
-static void makeUsedDirs( const string& rootPath )
-{
- makeDir(rootPath + bowImageDescriptorsDir);
- makeDir(rootPath + svmsDir);
- makeDir(rootPath + plotsDir);
-}
-
-/****************************************************************************************\
-* Classes to work with PASCAL VOC dataset *
-\****************************************************************************************/
-//
-// TODO: refactor this part of the code
-//
-
-
-//used to specify the (sub-)dataset over which operations are performed
-enum ObdDatasetType {CV_OBD_TRAIN, CV_OBD_TEST};
-
-class ObdObject
-{
-public:
- string object_class;
- Rect boundingBox;
-};
-
-//extended object data specific to VOC
-enum VocPose {CV_VOC_POSE_UNSPECIFIED, CV_VOC_POSE_FRONTAL, CV_VOC_POSE_REAR, CV_VOC_POSE_LEFT, CV_VOC_POSE_RIGHT};
-class VocObjectData
-{
-public:
- bool difficult;
- bool occluded;
- bool truncated;
- VocPose pose;
-};
-//enum VocDataset {CV_VOC2007, CV_VOC2008, CV_VOC2009, CV_VOC2010};
-enum VocPlotType {CV_VOC_PLOT_SCREEN, CV_VOC_PLOT_PNG};
-enum VocGT {CV_VOC_GT_NONE, CV_VOC_GT_DIFFICULT, CV_VOC_GT_PRESENT};
-enum VocConfCond {CV_VOC_CCOND_RECALL, CV_VOC_CCOND_SCORETHRESH};
-enum VocTask {CV_VOC_TASK_CLASSIFICATION, CV_VOC_TASK_DETECTION};
-
-class ObdImage
-{
-public:
- ObdImage(string p_id, string p_path) : id(p_id), path(p_path) {}
- string id;
- string path;
-};
-
-//used by getDetectorGroundTruth to sort a two dimensional list of floats in descending order
-class ObdScoreIndexSorter
-{
-public:
- float score;
- int image_idx;
- int obj_idx;
- bool operator < (const ObdScoreIndexSorter& compare) const {return (score < compare.score);}
-};
-
-class VocData
-{
-public:
- VocData( const string& vocPath, bool useTestDataset )
- { initVoc( vocPath, useTestDataset ); }
- ~VocData(){}
- /* functions for returning classification/object data for multiple images given an object class */
- void getClassImages(const string& obj_class, const ObdDatasetType dataset, vector& images, vector& object_present);
- void getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector& images, vector >& objects);
- void getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector& images, vector >& objects, vector >& object_data, vector& ground_truth);
- /* functions for returning object data for a single image given an image id */
- ObdImage getObjects(const string& id, vector& objects);
- ObdImage getObjects(const string& id, vector& objects, vector& object_data);
- ObdImage getObjects(const string& obj_class, const string& id, vector& objects, vector& object_data, VocGT& ground_truth);
- /* functions for returning the ground truth (present/absent) for groups of images */
- void getClassifierGroundTruth(const string& obj_class, const vector& images, vector& ground_truth);
- void getClassifierGroundTruth(const string& obj_class, const vector& images, vector& ground_truth);
- int getDetectorGroundTruth(const string& obj_class, const ObdDatasetType dataset, const vector& images, const vector >& bounding_boxes, const vector >& scores, vector >& ground_truth, vector >& detection_difficult, bool ignore_difficult = true);
- /* functions for writing VOC-compatible results files */
- void writeClassifierResultsFile(const string& out_dir, const string& obj_class, const ObdDatasetType dataset, const vector& images, const vector& scores, const int competition = 1, const bool overwrite_ifexists = false);
- /* functions for calculating metrics from a set of classification/detection results */
- string getResultsFilename(const string& obj_class, const VocTask task, const ObdDatasetType dataset, const int competition = -1, const int number = -1);
- void calcClassifierPrecRecall(const string& obj_class, const vector& images, const vector& scores, vector& precision, vector& recall, float& ap, vector& ranking);
- void calcClassifierPrecRecall(const string& obj_class, const vector& images, const vector& scores, vector& precision, vector& recall, float& ap);
- void calcClassifierPrecRecall(const string& input_file, vector& precision, vector& recall, float& ap, bool outputRankingFile = false);
- /* functions for calculating confusion matrices */
- void calcClassifierConfMatRow(const string& obj_class, const vector& images, const vector& scores, const VocConfCond cond, const float threshold, vector& output_headers, vector& output_values);
- void calcDetectorConfMatRow(const string& obj_class, const ObdDatasetType dataset, const vector& images, const vector >& scores, const vector >& bounding_boxes, const VocConfCond cond, const float threshold, vector& output_headers, vector& output_values, bool ignore_difficult = true);
- /* functions for outputting gnuplot output files */
- void savePrecRecallToGnuplot(const string& output_file, const vector& precision, const vector& recall, const float ap, const string title = string(), const VocPlotType plot_type = CV_VOC_PLOT_SCREEN);
- /* functions for reading in result/ground truth files */
- void readClassifierGroundTruth(const string& obj_class, const ObdDatasetType dataset, vector& images, vector& object_present);
- void readClassifierResultsFile(const std:: string& input_file, vector& images, vector& scores);
- void readDetectorResultsFile(const string& input_file, vector& images, vector >& scores, vector >& bounding_boxes);
- /* functions for getting dataset info */
- const vector& getObjectClasses();
- string getResultsDirectory();
-protected:
- void initVoc( const string& vocPath, const bool useTestDataset );
- void initVoc2007to2010( const string& vocPath, const bool useTestDataset);
- void readClassifierGroundTruth(const string& filename, vector& image_codes, vector& object_present);
- void readClassifierResultsFile(const string& input_file, vector& image_codes, vector& scores);
- void readDetectorResultsFile(const string& input_file, vector& image_codes, vector >& scores, vector >& bounding_boxes);
- void extractVocObjects(const string filename, vector& objects, vector& object_data);
- string getImagePath(const string& input_str);
-
- void getClassImages_impl(const string& obj_class, const string& dataset_str, vector& images, vector& object_present);
- void calcPrecRecall_impl(const vector& ground_truth, const vector& scores, vector& precision, vector& recall, float& ap, vector& ranking, int recall_normalization = -1);
-
- //test two bounding boxes to see if they meet the overlap criteria defined in the VOC documentation
- float testBoundingBoxesForOverlap(const Rect detection, const Rect ground_truth);
- //extract class and dataset name from a VOC-standard classification/detection results filename
- void extractDataFromResultsFilename(const string& input_file, string& class_name, string& dataset_name);
- //get classifier ground truth for a single image
- bool getClassifierGroundTruthImage(const string& obj_class, const string& id);
-
- //utility functions
- void getSortOrder(const vector& values, vector& order, bool descending = true);
- int stringToInteger(const string input_str);
- void readFileToString(const string filename, string& file_contents);
- string integerToString(const int input_int);
- string checkFilenamePathsep(const string filename, bool add_trailing_slash = false);
- void convertImageCodesToObdImages(const vector& image_codes, vector& images);
- int extractXMLBlock(const string src, const string tag, const int searchpos, string& tag_contents);
- //utility sorter
- struct orderingSorter
- {
- bool operator ()(std::pair::const_iterator> const& a, std::pair::const_iterator> const& b)
- {
- return (*a.second) > (*b.second);
- }
- };
- //data members
- string m_vocPath;
- string m_vocName;
- //string m_resPath;
-
- string m_annotation_path;
- string m_image_path;
- string m_imageset_path;
- string m_class_imageset_path;
-
- vector m_classifier_gt_all_ids;
- vector m_classifier_gt_all_present;
- string m_classifier_gt_class;
-
- //data members
- string m_train_set;
- string m_test_set;
-
- vector m_object_classes;
-
-
- float m_min_overlap;
- bool m_sampled_ap;
-};
-
-
-//Return the classification ground truth data for all images of a given VOC object class
-//--------------------------------------------------------------------------------------
-//INPUTS:
-// - obj_class The VOC object class identifier string
-// - dataset Specifies whether to extract images from the training or test set
-//OUTPUTS:
-// - images An array of ObdImage containing info of all images extracted from the ground truth file
-// - object_present An array of bools specifying whether the object defined by 'obj_class' is present in each image or not
-//NOTES:
-// This function is primarily useful for the classification task, where only
-// whether a given object is present or not in an image is required, and not each object instance's
-// position etc.
-void VocData::getClassImages(const string& obj_class, const ObdDatasetType dataset, vector& images, vector& object_present)
-{
- string dataset_str;
- //generate the filename of the classification ground-truth textfile for the object class
- if (dataset == CV_OBD_TRAIN)
- {
- dataset_str = m_train_set;
- } else {
- dataset_str = m_test_set;
- }
-
- getClassImages_impl(obj_class, dataset_str, images, object_present);
-}
-
-void VocData::getClassImages_impl(const string& obj_class, const string& dataset_str, vector& images, vector& object_present)
-{
- //generate the filename of the classification ground-truth textfile for the object class
- string gtFilename = m_class_imageset_path;
- gtFilename.replace(gtFilename.find("%s"),2,obj_class);
- gtFilename.replace(gtFilename.find("%s"),2,dataset_str);
-
- //parse the ground truth file, storing in two separate vectors
- //for the image code and the ground truth value
- vector image_codes;
- readClassifierGroundTruth(gtFilename, image_codes, object_present);
-
- //prepare output arrays
- images.clear();
-
- convertImageCodesToObdImages(image_codes, images);
-}
-
-//Return the object data for all images of a given VOC object class
-//-----------------------------------------------------------------
-//INPUTS:
-// - obj_class The VOC object class identifier string
-// - dataset Specifies whether to extract images from the training or test set
-//OUTPUTS:
-// - images An array of ObdImage containing info of all images in chosen dataset (tag, path etc.)
-// - objects Contains the extended object info (bounding box etc.) for each object instance in each image
-// - object_data Contains VOC-specific extended object info (marked difficult etc.)
-// - ground_truth Specifies whether there are any difficult/non-difficult instances of the current
-// object class within each image
-//NOTES:
-// This function returns extended object information in addition to the absent/present
-// classification data returned by getClassImages. The objects returned for each image in the 'objects'
-// array are of all object classes present in the image, and not just the class defined by 'obj_class'.
-// 'ground_truth' can be used to determine quickly whether an object instance of the given class is present
-// in an image or not.
-void VocData::getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector& images, vector >& objects)
-{
- vector > object_data;
- vector ground_truth;
-
- getClassObjects(obj_class,dataset,images,objects,object_data,ground_truth);
-}
-
-void VocData::getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector& images, vector >& objects, vector >& object_data, vector& ground_truth)
-{
- //generate the filename of the classification ground-truth textfile for the object class
- string gtFilename = m_class_imageset_path;
- gtFilename.replace(gtFilename.find("%s"),2,obj_class);
- if (dataset == CV_OBD_TRAIN)
- {
- gtFilename.replace(gtFilename.find("%s"),2,m_train_set);
- } else {
- gtFilename.replace(gtFilename.find("%s"),2,m_test_set);
- }
-
- //parse the ground truth file, storing in two separate vectors
- //for the image code and the ground truth value
- vector image_codes;
- vector object_present;
- readClassifierGroundTruth(gtFilename, image_codes, object_present);
-
- //prepare output arrays
- images.clear();
- objects.clear();
- object_data.clear();
- ground_truth.clear();
-
- string annotationFilename;
- vector image_objects;
- vector image_object_data;
- VocGT image_gt;
-
- //transfer to output arrays and read in object data for each image
- for (size_t i = 0; i < image_codes.size(); ++i)
- {
- ObdImage image = getObjects(obj_class, image_codes[i], image_objects, image_object_data, image_gt);
-
- images.push_back(image);
- objects.push_back(image_objects);
- object_data.push_back(image_object_data);
- ground_truth.push_back(image_gt);
- }
-}
-
-//Return ground truth data for the objects present in an image with a given UID
-//-----------------------------------------------------------------------------
-//INPUTS:
-// - id VOC Dataset unique identifier (string code in form YYYY_XXXXXX where YYYY is the year)
-//OUTPUTS:
-// - obj_class (*3) Specifies the object class to use to resolve 'ground_truth'
-// - objects Contains the extended object info (bounding box etc.) for each object in the image
-// - object_data (*2,3) Contains VOC-specific extended object info (marked difficult etc.)
-// - ground_truth (*3) Specifies whether there are any difficult/non-difficult instances of the current
-// object class within the image
-//RETURN VALUE:
-// ObdImage containing path and other details of image file with given code
-//NOTES:
-// There are three versions of this function
-// * One returns a simple array of objects given an id [1]
-// * One returns the same as (1) plus VOC specific object data [2]
-// * One returns the same as (2) plus the ground_truth flag. This also requires an extra input obj_class [3]
-ObdImage VocData::getObjects(const string& id, vector& objects)
-{
- vector object_data;
- ObdImage image = getObjects(id, objects, object_data);
-
- return image;
-}
-
-ObdImage VocData::getObjects(const string& id, vector& objects, vector& object_data)
-{
- //first generate the filename of the annotation file
- string annotationFilename = m_annotation_path;
-
- annotationFilename.replace(annotationFilename.find("%s"),2,id);
-
- //extract objects contained in the current image from the xml
- extractVocObjects(annotationFilename,objects,object_data);
-
- //generate image path from extracted string code
- string path = getImagePath(id);
-
- ObdImage image(id, path);
- return image;
-}
-
-ObdImage VocData::getObjects(const string& obj_class, const string& id, vector& objects, vector& object_data, VocGT& ground_truth)
-{
-
- //extract object data (except for ground truth flag)
- ObdImage image = getObjects(id,objects,object_data);
-
- //pregenerate a flag to indicate whether the current class is present or not in the image
- ground_truth = CV_VOC_GT_NONE;
- //iterate through all objects in current image
- for (size_t j = 0; j < objects.size(); ++j)
- {
- if (objects[j].object_class == obj_class)
- {
- if (object_data[j].difficult == false)
- {
- //if at least one non-difficult example is present, this flag is always set to CV_VOC_GT_PRESENT
- ground_truth = CV_VOC_GT_PRESENT;
- break;
- } else {
- //set if at least one object instance is present, but it is marked difficult
- ground_truth = CV_VOC_GT_DIFFICULT;
- }
- }
- }
-
- return image;
-}
-
-//Return ground truth data for the presence/absence of a given object class in an arbitrary array of images
-//---------------------------------------------------------------------------------------------------------
-//INPUTS:
-// - obj_class The VOC object class identifier string
-// - images An array of ObdImage OR strings containing the images for which ground truth
-// will be computed
-//OUTPUTS:
-// - ground_truth An output array indicating the presence/absence of obj_class within each image
-void VocData::getClassifierGroundTruth(const string& obj_class, const vector& images, vector& ground_truth)
-{
- vector(images.size()).swap(ground_truth);
-
- vector objects;
- vector object_data;
- vector::iterator gt_it = ground_truth.begin();
- for (vector::const_iterator it = images.begin(); it != images.end(); ++it, ++gt_it)
- {
- //getObjects(obj_class, it->id, objects, object_data, voc_ground_truth);
- (*gt_it) = (getClassifierGroundTruthImage(obj_class, it->id));
- }
-}
-
-void VocData::getClassifierGroundTruth(const string& obj_class, const vector& images, vector& ground_truth)
-{
- vector(images.size()).swap(ground_truth);
-
- vector objects;
- vector object_data;
- vector::iterator gt_it = ground_truth.begin();
- for (vector::const_iterator it = images.begin(); it != images.end(); ++it, ++gt_it)
- {
- //getObjects(obj_class, (*it), objects, object_data, voc_ground_truth);
- (*gt_it) = (getClassifierGroundTruthImage(obj_class, (*it)));
- }
-}
-
-//Return ground truth data for the accuracy of detection results
-//--------------------------------------------------------------
-//INPUTS:
-// - obj_class The VOC object class identifier string
-// - images An array of ObdImage containing the images for which ground truth
-// will be computed
-// - bounding_boxes A 2D input array containing the bounding box rects of the objects of
-// obj_class which were detected in each image
-//OUTPUTS:
-// - ground_truth A 2D output array indicating whether each object detection was accurate
-// or not
-// - detection_difficult A 2D output array indicating whether the detection fired on an object
-// marked as 'difficult'. This allows it to be ignored if necessary
-// (the voc documentation specifies objects marked as difficult
-// have no effects on the results and are effectively ignored)
-// - (ignore_difficult) If set to true, objects marked as difficult will be ignored when returning
-// the number of hits for p-r normalization (default = true)
-//RETURN VALUE:
-// Returns the number of object hits in total in the gt to allow proper normalization
-// of a p-r curve
-//NOTES:
-// As stated in the VOC documentation, multiple detections of the same object in an image are
-// considered FALSE detections e.g. 5 detections of a single object is counted as 1 correct
-// detection and 4 false detections - it is the responsibility of the participant's system
-// to filter multiple detections from its output
-int VocData::getDetectorGroundTruth(const string& obj_class, const ObdDatasetType dataset, const vector& images, const vector >& bounding_boxes, const vector >& scores, vector >& ground_truth, vector >& detection_difficult, bool ignore_difficult)
-{
- int recall_normalization = 0;
-
- /* first create a list of indices referring to the elements of bounding_boxes and scores in
- * descending order of scores */
- vector sorted_ids;
- {
- /* first count how many objects to allow preallocation */
- size_t obj_count = 0;
- CV_Assert(images.size() == bounding_boxes.size());
- CV_Assert(scores.size() == bounding_boxes.size());
- for (size_t im_idx = 0; im_idx < scores.size(); ++im_idx)
- {
- CV_Assert(scores[im_idx].size() == bounding_boxes[im_idx].size());
- obj_count += scores[im_idx].size();
- }
- /* preallocate id vector */
- sorted_ids.resize(obj_count);
- /* now copy across scores and indexes to preallocated vector */
- int flat_pos = 0;
- for (size_t im_idx = 0; im_idx < scores.size(); ++im_idx)
- {
- for (size_t ob_idx = 0; ob_idx < scores[im_idx].size(); ++ob_idx)
- {
- sorted_ids[flat_pos].score = scores[im_idx][ob_idx];
- sorted_ids[flat_pos].image_idx = (int)im_idx;
- sorted_ids[flat_pos].obj_idx = (int)ob_idx;
- ++flat_pos;
- }
- }
- /* and sort the vector in descending order of score */
- std::sort(sorted_ids.begin(),sorted_ids.end());
- std::reverse(sorted_ids.begin(),sorted_ids.end());
- }
-
- /* prepare ground truth + difficult vector (1st dimension) */
- vector >(images.size()).swap(ground_truth);
- vector >(images.size()).swap(detection_difficult);
- vector > detected(images.size());
-
- vector > img_objects(images.size());
- vector > img_object_data(images.size());
- /* preload object ground truth bounding box data */
- {
- vector > img_objects_all(images.size());
- vector > img_object_data_all(images.size());
- for (size_t image_idx = 0; image_idx < images.size(); ++image_idx)
- {
- /* prepopulate ground truth bounding boxes */
- getObjects(images[image_idx].id, img_objects_all[image_idx], img_object_data_all[image_idx]);
- /* meanwhile, also set length of target ground truth + difficult vector to same as number of object detections (2nd dimension) */
- ground_truth[image_idx].resize(bounding_boxes[image_idx].size());
- detection_difficult[image_idx].resize(bounding_boxes[image_idx].size());
- }
-
- /* save only instances of the object class concerned */
- for (size_t image_idx = 0; image_idx < images.size(); ++image_idx)
- {
- for (size_t obj_idx = 0; obj_idx < img_objects_all[image_idx].size(); ++obj_idx)
- {
- if (img_objects_all[image_idx][obj_idx].object_class == obj_class)
- {
- img_objects[image_idx].push_back(img_objects_all[image_idx][obj_idx]);
- img_object_data[image_idx].push_back(img_object_data_all[image_idx][obj_idx]);
- }
- }
- detected[image_idx].resize(img_objects[image_idx].size(), false);
- }
- }
-
- /* calculate the total number of objects in the ground truth for the current dataset */
- {
- vector gt_images;
- vector gt_object_present;
- getClassImages(obj_class, dataset, gt_images, gt_object_present);
-
- for (size_t image_idx = 0; image_idx < gt_images.size(); ++image_idx)
- {
- vector gt_img_objects;
- vector gt_img_object_data;
- getObjects(gt_images[image_idx].id, gt_img_objects, gt_img_object_data);
- for (size_t obj_idx = 0; obj_idx < gt_img_objects.size(); ++obj_idx)
- {
- if (gt_img_objects[obj_idx].object_class == obj_class)
- {
- if ((gt_img_object_data[obj_idx].difficult == false) || (ignore_difficult == false))
- ++recall_normalization;
- }
- }
- }
- }
-
-#ifdef PR_DEBUG
- int printed_count = 0;
-#endif
- /* now iterate through detections in descending order of score, assigning to ground truth bounding boxes if possible */
- for (size_t detect_idx = 0; detect_idx < sorted_ids.size(); ++detect_idx)
- {
- //read in indexes to make following code easier to read
- int im_idx = sorted_ids[detect_idx].image_idx;
- int ob_idx = sorted_ids[detect_idx].obj_idx;
- //set ground truth for the current object to false by default
- ground_truth[im_idx][ob_idx] = false;
- detection_difficult[im_idx][ob_idx] = false;
- float maxov = -1.0;
- bool max_is_difficult = false;
- int max_gt_obj_idx = -1;
- //-- for each detected object iterate through objects present in the bounding box ground truth --
- for (size_t gt_obj_idx = 0; gt_obj_idx < img_objects[im_idx].size(); ++gt_obj_idx)
- {
- if (detected[im_idx][gt_obj_idx] == false)
- {
- //check if the detected object and ground truth object overlap by a sufficient margin
- float ov = testBoundingBoxesForOverlap(bounding_boxes[im_idx][ob_idx], img_objects[im_idx][gt_obj_idx].boundingBox);
- if (ov != -1.0)
- {
- //if all conditions are met store the overlap score and index (as objects are assigned to the highest scoring match)
- if (ov > maxov)
- {
- maxov = ov;
- max_gt_obj_idx = (int)gt_obj_idx;
- //store whether the maximum detection is marked as difficult or not
- max_is_difficult = (img_object_data[im_idx][gt_obj_idx].difficult);
- }
- }
- }
- }
- //-- if a match was found, set the ground truth of the current object to true --
- if (maxov != -1.0)
- {
- CV_Assert(max_gt_obj_idx != -1);
- ground_truth[im_idx][ob_idx] = true;
- //store whether the maximum detection was marked as 'difficult' or not
- detection_difficult[im_idx][ob_idx] = max_is_difficult;
- //remove the ground truth object so it doesn't match with subsequent detected objects
- //** this is the behaviour defined by the voc documentation **
- detected[im_idx][max_gt_obj_idx] = true;
- }
-#ifdef PR_DEBUG
- if (printed_count < 10)
- {
- cout << printed_count << ": id=" << images[im_idx].id << ", score=" << scores[im_idx][ob_idx] << " (" << ob_idx << ") [" << bounding_boxes[im_idx][ob_idx].x << "," <<
- bounding_boxes[im_idx][ob_idx].y << "," << bounding_boxes[im_idx][ob_idx].width + bounding_boxes[im_idx][ob_idx].x <<
- "," << bounding_boxes[im_idx][ob_idx].height + bounding_boxes[im_idx][ob_idx].y << "] detected=" << ground_truth[im_idx][ob_idx] <<
- ", difficult=" << detection_difficult[im_idx][ob_idx] << endl;
- ++printed_count;
- /* print ground truth */
- for (int gt_obj_idx = 0; gt_obj_idx < img_objects[im_idx].size(); ++gt_obj_idx)
- {
- cout << " GT: [" << img_objects[im_idx][gt_obj_idx].boundingBox.x << "," <<
- img_objects[im_idx][gt_obj_idx].boundingBox.y << "," << img_objects[im_idx][gt_obj_idx].boundingBox.width + img_objects[im_idx][gt_obj_idx].boundingBox.x <<
- "," << img_objects[im_idx][gt_obj_idx].boundingBox.height + img_objects[im_idx][gt_obj_idx].boundingBox.y << "]";
- if (gt_obj_idx == max_gt_obj_idx) cout << " <--- (" << maxov << " overlap)";
- cout << endl;
- }
- }
-#endif
- }
-
- return recall_normalization;
-}
-
-//Write VOC-compliant classifier results file
-//-------------------------------------------
-//INPUTS:
-// - obj_class The VOC object class identifier string
-// - dataset Specifies whether working with the training or test set
-// - images An array of ObdImage containing the images for which data will be saved to the result file
-// - scores A corresponding array of confidence scores given a query
-// - (competition) If specified, defines which competition the results are for (see VOC documentation - default 1)
-//NOTES:
-// The result file path and filename are determined automatically using m_results_directory as a base
-void VocData::writeClassifierResultsFile( const string& out_dir, const string& obj_class, const ObdDatasetType dataset, const vector& images, const vector& scores, const int competition, const bool overwrite_ifexists)
-{
- CV_Assert(images.size() == scores.size());
-
- string output_file_base, output_file;
- if (dataset == CV_OBD_TRAIN)
- {
- output_file_base = out_dir + "/comp" + integerToString(competition) + "_cls_" + m_train_set + "_" + obj_class;
- } else {
- output_file_base = out_dir + "/comp" + integerToString(competition) + "_cls_" + m_test_set + "_" + obj_class;
- }
- output_file = output_file_base + ".txt";
-
- //check if file exists, and if so create a numbered new file instead
- if (overwrite_ifexists == false)
- {
- struct stat stFileInfo;
- if (stat(output_file.c_str(),&stFileInfo) == 0)
- {
- string output_file_new;
- int filenum = 0;
- do
- {
- ++filenum;
- output_file_new = output_file_base + "_" + integerToString(filenum);
- output_file = output_file_new + ".txt";
- } while (stat(output_file.c_str(),&stFileInfo) == 0);
- }
- }
-
- //output data to file
- std::ofstream result_file(output_file.c_str());
- if (result_file.is_open())
- {
- for (size_t i = 0; i < images.size(); ++i)
- {
- result_file << images[i].id << " " << scores[i] << endl;
- }
- result_file.close();
- } else {
- string err_msg = "could not open classifier results file '" + output_file + "' for writing. Before running for the first time, a 'results' subdirectory should be created within the VOC dataset base directory. e.g. if the VOC data is stored in /VOC/VOC2010 then the path /VOC/results must be created.";
- CV_Error(CV_StsError,err_msg.c_str());
- }
-}
-
-//---------------------------------------
-//CALCULATE METRICS FROM VOC RESULTS DATA
-//---------------------------------------
-
-//Utility function to construct a VOC-standard classification results filename
-//----------------------------------------------------------------------------
-//INPUTS:
-// - obj_class The VOC object class identifier string
-// - task Specifies whether to generate a filename for the classification or detection task
-// - dataset Specifies whether working with the training or test set
-// - (competition) If specified, defines which competition the results are for (see VOC documentation
-// default of -1 means this is set to 1 for the classification task and 3 for the detection task)
-// - (number) If specified and above 0, defines which of a number of duplicate results file produced for a given set of
-// of settings should be used (this number will be added as a postfix to the filename)
-//NOTES:
-// This is primarily useful for returning the filename of a classification file previously computed using writeClassifierResultsFile
-// for example when calling calcClassifierPrecRecall
-string VocData::getResultsFilename(const string& obj_class, const VocTask task, const ObdDatasetType dataset, const int competition, const int number)
-{
- if ((competition < 1) && (competition != -1))
- CV_Error(CV_StsBadArg,"competition argument should be a positive non-zero number or -1 to accept the default");
- if ((number < 1) && (number != -1))
- CV_Error(CV_StsBadArg,"number argument should be a positive non-zero number or -1 to accept the default");
-
- string dset, task_type;
-
- if (dataset == CV_OBD_TRAIN)
- {
- dset = m_train_set;
- } else {
- dset = m_test_set;
- }
-
- int comp = competition;
- if (task == CV_VOC_TASK_CLASSIFICATION)
- {
- task_type = "cls";
- if (comp == -1) comp = 1;
- } else {
- task_type = "det";
- if (comp == -1) comp = 3;
- }
-
- stringstream ss;
- if (number < 1)
- {
- ss << "comp" << comp << "_" << task_type << "_" << dset << "_" << obj_class << ".txt";
- } else {
- ss << "comp" << comp << "_" << task_type << "_" << dset << "_" << obj_class << "_" << number << ".txt";
- }
-
- string filename = ss.str();
- return filename;
-}
-
-//Calculate metrics for classification results
-//--------------------------------------------
-//INPUTS:
-// - ground_truth A vector of booleans determining whether the currently tested class is present in each input image
-// - scores A vector containing the similarity score for each input image (higher is more similar)
-//OUTPUTS:
-// - precision A vector containing the precision calculated at each datapoint of a p-r curve generated from the result set
-// - recall A vector containing the recall calculated at each datapoint of a p-r curve generated from the result set
-// - ap The ap metric calculated from the result set
-// - (ranking) A vector of the same length as 'ground_truth' and 'scores' containing the order of the indices in both of
-// these arrays when sorting by the ranking score in descending order
-//NOTES:
-// The result file path and filename are determined automatically using m_results_directory as a base
-void VocData::calcClassifierPrecRecall(const string& obj_class, const vector& images, const vector& scores, vector& precision, vector& recall, float& ap, vector& ranking)
-{
- vector res_ground_truth;
- getClassifierGroundTruth(obj_class, images, res_ground_truth);
-
- calcPrecRecall_impl(res_ground_truth, scores, precision, recall, ap, ranking);
-}
-
-void VocData::calcClassifierPrecRecall(const string& obj_class, const vector& images, const vector& scores, vector& precision, vector& recall, float& ap)
-{
- vector res_ground_truth;
- getClassifierGroundTruth(obj_class, images, res_ground_truth);
-
- vector ranking;
- calcPrecRecall_impl(res_ground_truth, scores, precision, recall, ap, ranking);
-}
-
-//< Overloaded version which accepts VOC classification result file input instead of array of scores/ground truth >
-//INPUTS:
-// - input_file The path to the VOC standard results file to use for calculating precision/recall
-// If a full path is not specified, it is assumed this file is in the VOC standard results directory
-// A VOC standard filename can be retrieved (as used by writeClassifierResultsFile) by calling getClassifierResultsFilename
-
-void VocData::calcClassifierPrecRecall(const string& input_file, vector& precision, vector& recall, float& ap, bool outputRankingFile)
-{
- //read in classification results file
- vector res_image_codes;
- vector res_scores;
-
- string input_file_std = checkFilenamePathsep(input_file);
- readClassifierResultsFile(input_file_std, res_image_codes, res_scores);
-
- //extract the object class and dataset from the results file filename
- string class_name, dataset_name;
- extractDataFromResultsFilename(input_file_std, class_name, dataset_name);
-
- //generate the ground truth for the images extracted from the results file
- vector res_ground_truth;
-
- getClassifierGroundTruth(class_name, res_image_codes, res_ground_truth);
-
- if (outputRankingFile)
- {
- /* 1. store sorting order by score (descending) in 'order' */
- vector::const_iterator> > order(res_scores.size());
-
- size_t n = 0;
- for (vector::const_iterator it = res_scores.begin(); it != res_scores.end(); ++it, ++n)
- order[n] = make_pair(n, it);
-
- std::sort(order.begin(),order.end(),orderingSorter());
-
- /* 2. save ranking results to text file */
- string input_file_std1 = checkFilenamePathsep(input_file);
- size_t fnamestart = input_file_std1.rfind("/");
- string scoregt_file_str = input_file_std1.substr(0,fnamestart+1) + "scoregt_" + class_name + ".txt";
- std::ofstream scoregt_file(scoregt_file_str.c_str());
- if (scoregt_file.is_open())
- {
- for (size_t i = 0; i < res_scores.size(); ++i)
- {
- scoregt_file << res_image_codes[order[i].first] << " " << res_scores[order[i].first] << " " << res_ground_truth[order[i].first] << endl;
- }
- scoregt_file.close();
- } else {
- string err_msg = "could not open scoregt file '" + scoregt_file_str + "' for writing.";
- CV_Error(CV_StsError,err_msg.c_str());
- }
- }
-
- //finally, calculate precision+recall+ap
- vector ranking;
- calcPrecRecall_impl(res_ground_truth,res_scores,precision,recall,ap,ranking);
-}
-
-//< Protected implementation of Precision-Recall calculation used by both calcClassifierPrecRecall and calcDetectorPrecRecall >
-
-void VocData::calcPrecRecall_impl(const vector& ground_truth, const vector& scores, vector& precision, vector& recall, float& ap, vector& ranking, int recall_normalization)
-{
- CV_Assert(ground_truth.size() == scores.size());
-
- //add extra element for p-r at 0 recall (in case that first retrieved is positive)
- vector(scores.size()+1).swap(precision);
- vector(scores.size()+1).swap(recall);
-
- // SORT RESULTS BY THEIR SCORE
- /* 1. store sorting order in 'order' */
- VocData::getSortOrder(scores, ranking);
-
-#ifdef PR_DEBUG
- std::ofstream scoregt_file("D:/pr.txt");
- if (scoregt_file.is_open())
- {
- for (int i = 0; i < scores.size(); ++i)
- {
- scoregt_file << scores[ranking[i]] << " " << ground_truth[ranking[i]] << endl;
- }
- scoregt_file.close();
- }
-#endif
-
- // CALCULATE PRECISION+RECALL
-
- int retrieved_hits = 0;
-
- int recall_norm;
- if (recall_normalization != -1)
- {
- recall_norm = recall_normalization;
- } else {
- recall_norm = (int)std::count_if(ground_truth.begin(),ground_truth.end(),std::bind2nd(std::equal_to(),(char)1));
- }
-
- ap = 0;
- recall[0] = 0;
- for (size_t idx = 0; idx < ground_truth.size(); ++idx)
- {
- if (ground_truth[ranking[idx]] != 0) ++retrieved_hits;
-
- precision[idx+1] = static_cast(retrieved_hits)/static_cast(idx+1);
- recall[idx+1] = static_cast(retrieved_hits)/static_cast(recall_norm);
-
- if (idx == 0)
- {
- //add further point at 0 recall with the same precision value as the first computed point
- precision[idx] = precision[idx+1];
- }
- if (recall[idx+1] == 1.0)
- {
- //if recall = 1, then end early as all positive images have been found
- recall.resize(idx+2);
- precision.resize(idx+2);
- break;
- }
- }
-
- /* ap calculation */
- if (m_sampled_ap == false)
- {
- // FOR VOC2010+ AP IS CALCULATED FROM ALL DATAPOINTS
- /* make precision monotonically decreasing for purposes of calculating ap */
- vector precision_monot(precision.size());
- vector::iterator prec_m_it = precision_monot.begin();
- for (vector::iterator prec_it = precision.begin(); prec_it != precision.end(); ++prec_it, ++prec_m_it)
- {
- vector::iterator max_elem;
- max_elem = std::max_element(prec_it,precision.end());
- (*prec_m_it) = (*max_elem);
- }
- /* calculate ap */
- for (size_t idx = 0; idx < (recall.size()-1); ++idx)
- {
- ap += (recall[idx+1] - recall[idx])*precision_monot[idx+1] + //no need to take min of prec - is monotonically decreasing
- 0.5f*(recall[idx+1] - recall[idx])*std::abs(precision_monot[idx+1] - precision_monot[idx]);
- }
- } else {
- // FOR BEFORE VOC2010 AP IS CALCULATED BY SAMPLING PRECISION AT RECALL 0.0,0.1,..,1.0
-
- for (float recall_pos = 0.f; recall_pos <= 1.f; recall_pos += 0.1f)
- {
- //find iterator of the precision corresponding to the first recall >= recall_pos
- vector::iterator recall_it = recall.begin();
- vector::iterator prec_it = precision.begin();
-
- while ((*recall_it) < recall_pos)
- {
- ++recall_it;
- ++prec_it;
- if (recall_it == recall.end()) break;
- }
-
- /* if no recall >= recall_pos found, this level of recall is never reached so stop adding to ap */
- if (recall_it == recall.end()) break;
-
- /* if the prec_it is valid, compute the max precision at this level of recall or higher */
- vector::iterator max_prec = std::max_element(prec_it,precision.end());
-
- ap += (*max_prec)/11;
- }
- }
-}
-
-/* functions for calculating confusion matrix rows */
-
-//Calculate rows of a confusion matrix
-//------------------------------------
-//INPUTS:
-// - obj_class The VOC object class identifier string for the confusion matrix row to compute
-// - images An array of ObdImage containing the images to use for the computation
-// - scores A corresponding array of confidence scores for the presence of obj_class in each image
-// - cond Defines whether to use a cut off point based on recall (CV_VOC_CCOND_RECALL) or score
-// (CV_VOC_CCOND_SCORETHRESH) the latter is useful for classifier detections where positive
-// values are positive detections and negative values are negative detections
-// - threshold Threshold value for cond. In case of CV_VOC_CCOND_RECALL, is proportion recall (e.g. 0.5).
-// In the case of CV_VOC_CCOND_SCORETHRESH is the value above which to count results.
-//OUTPUTS:
-// - output_headers An output vector of object class headers for the confusion matrix row
-// - output_values An output vector of values for the confusion matrix row corresponding to the classes
-// defined in output_headers
-//NOTES:
-// The methodology used by the classifier version of this function is that true positives have a single unit
-// added to the obj_class column in the confusion matrix row, whereas false positives have a single unit
-// distributed in proportion between all the columns in the confusion matrix row corresponding to the objects
-// present in the image.
-void VocData::calcClassifierConfMatRow(const string& obj_class, const vector& images, const vector& scores, const VocConfCond cond, const float threshold, vector& output_headers, vector& output_values)
-{
- CV_Assert(images.size() == scores.size());
-
- // SORT RESULTS BY THEIR SCORE
- /* 1. store sorting order in 'ranking' */
- vector ranking;
- VocData::getSortOrder(scores, ranking);
-
- // CALCULATE CONFUSION MATRIX ENTRIES
- /* prepare object category headers */
- output_headers = m_object_classes;
- vector(output_headers.size(),0.0).swap(output_values);
- /* find the index of the target object class in the headers for later use */
- int target_idx;
- {
- vector::iterator target_idx_it = std::find(output_headers.begin(),output_headers.end(),obj_class);
- /* if the target class can not be found, raise an exception */
- if (target_idx_it == output_headers.end())
- {
- string err_msg = "could not find the target object class '" + obj_class + "' in list of valid classes.";
- CV_Error(CV_StsError,err_msg.c_str());
- }
- /* convert iterator to index */
- target_idx = (int)std::distance(output_headers.begin(),target_idx_it);
- }
-
- /* prepare variables related to calculating recall if using the recall threshold */
- int retrieved_hits = 0;
- int total_relevant = 0;
- if (cond == CV_VOC_CCOND_RECALL)
- {
- vector ground_truth;
- /* in order to calculate the total number of relevant images for normalization of recall
- it's necessary to extract the ground truth for the images under consideration */
- getClassifierGroundTruth(obj_class, images, ground_truth);
- total_relevant = (int)std::count_if(ground_truth.begin(),ground_truth.end(),std::bind2nd(std::equal_to(),(char)1));
- }
-
- /* iterate through images */
- vector img_objects;
- vector img_object_data;
- int total_images = 0;
- for (size_t image_idx = 0; image_idx < images.size(); ++image_idx)
- {
- /* if using the score as the break condition, check for it now */
- if (cond == CV_VOC_CCOND_SCORETHRESH)
- {
- if (scores[ranking[image_idx]] <= threshold) break;
- }
- /* if continuing for this iteration, increment the image counter for later normalization */
- ++total_images;
- /* for each image retrieve the objects contained */
- getObjects(images[ranking[image_idx]].id, img_objects, img_object_data);
- //check if the tested for object class is present
- if (getClassifierGroundTruthImage(obj_class, images[ranking[image_idx]].id))
- {
- //if the target class is present, assign fully to the target class element in the confusion matrix row
- output_values[target_idx] += 1.0;
- if (cond == CV_VOC_CCOND_RECALL) ++retrieved_hits;
- } else {
- //first delete all objects marked as difficult
- for (size_t obj_idx = 0; obj_idx < img_objects.size(); ++obj_idx)
- {
- if (img_object_data[obj_idx].difficult == true)
- {
- vector::iterator it1 = img_objects.begin();
- std::advance(it1,obj_idx);
- img_objects.erase(it1);
- vector::iterator it2 = img_object_data.begin();
- std::advance(it2,obj_idx);
- img_object_data.erase(it2);
- --obj_idx;
- }
- }
- //if the target class is not present, add values to the confusion matrix row in equal proportions to all objects present in the image
- for (size_t obj_idx = 0; obj_idx < img_objects.size(); ++obj_idx)
- {
- //find the index of the currently considered object
- vector::iterator class_idx_it = std::find(output_headers.begin(),output_headers.end(),img_objects[obj_idx].object_class);
- //if the class name extracted from the ground truth file could not be found in the list of available classes, raise an exception
- if (class_idx_it == output_headers.end())
- {
- string err_msg = "could not find object class '" + img_objects[obj_idx].object_class + "' specified in the ground truth file of '" + images[ranking[image_idx]].id +"'in list of valid classes.";
- CV_Error(CV_StsError,err_msg.c_str());
- }
- /* convert iterator to index */
- int class_idx = (int)std::distance(output_headers.begin(),class_idx_it);
- //add to confusion matrix row in proportion
- output_values[class_idx] += 1.f/static_cast(img_objects.size());
- }
- }
- //check break conditions if breaking on certain level of recall
- if (cond == CV_VOC_CCOND_RECALL)
- {
- if(static_cast(retrieved_hits)/static_cast(total_relevant) >= threshold) break;
- }
- }
- /* finally, normalize confusion matrix row */
- for (vector::iterator it = output_values.begin(); it < output_values.end(); ++it)
- {
- (*it) /= static_cast(total_images);
- }
-}
-
-// NOTE: doesn't ignore repeated detections
-void VocData::calcDetectorConfMatRow(const string& obj_class, const ObdDatasetType dataset, const vector