Fix spelling typos

samples/cpp/CMakeLists.txt

@@ -47,7 +47,7 @@ foreach(sample_filename ${cpp_samples})
     target_compile_definitions(${tgt} PRIVATE HAVE_OPENGL)
   endif()
   if(sample_filename MATCHES "simd_")
-    # disabled intentionally - demonstation purposes only
+    # disabled intentionally - demonstration purposes only
     #target_include_directories(${tgt} PRIVATE "${CMAKE_CURRENT_LIST_DIR}")
     #target_compile_definitions(${tgt} PRIVATE OPENCV_SIMD_CONFIG_HEADER=opencv_simd_config_custom.hpp)
     #target_compile_definitions(${tgt} PRIVATE OPENCV_SIMD_CONFIG_INCLUDE_DIR=1)

samples/cpp/delaunay2.cpp

@@ -12,7 +12,7 @@ static void help()
            "It draws a random set of points in an image and then delaunay triangulates them.\n"
            "Usage: \n"
            "./delaunay \n"
-           "\nThis program builds the traingulation interactively, you may stop this process by\n"
+           "\nThis program builds the triangulation interactively, you may stop this process by\n"
            "hitting any key.\n";
 }
 

samples/cpp/logistic_regression.cpp

@@ -157,7 +157,7 @@ int main()
     cout << responses.t() << endl;
     cout << "accuracy: " << calculateAccuracyPercent(labels_test, responses) << "%" << endl;
 
-    // save the classfier
+    // save the classifier
     const String saveFilename = "NewLR_Trained.xml";
     cout << "saving the classifier to " << saveFilename << endl;
     lr1->save(saveFilename);
@@ -167,7 +167,7 @@ int main()
     Ptr<LogisticRegression> lr2 = StatModel::load<LogisticRegression>(saveFilename);
 
     // predict using loaded classifier
-    cout << "predicting the dataset using the loaded classfier...";
+    cout << "predicting the dataset using the loaded classifier...";
     Mat responses2;
     lr2->predict(data_test, responses2);
     cout << "done!" << endl;

samples/cpp/pca.cpp

@@ -10,7 +10,7 @@
 * This program demonstrates how to use OpenCV PCA with a
 * specified amount of variance to retain. The effect
 * is illustrated further by using a trackbar to
-* change the value for retained varaince.
+* change the value for retained variance.
 *
 * The program takes as input a text file with each line
 * begin the full path to an image. PCA will be performed

samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/Model.h

@@ -36,7 +36,7 @@ public:
     void load(const std::string &path);
 
 private:
-    /** The current number of correspondecnes */
+    /** The current number of correspondences */
     int n_correspondences_;
     /** The list of 2D points on the model surface */
     std::vector<cv::KeyPoint> list_keypoints_;

samples/cpp/videocapture_openni.cpp

@@ -17,7 +17,7 @@ static void help()
             "   CAP_OPENNI_POINT_CLOUD_MAP      - XYZ in meters (CV_32FC3)\n"
             "   CAP_OPENNI_DISPARITY_MAP        - disparity in pixels (CV_8UC1)\n"
             "   CAP_OPENNI_DISPARITY_MAP_32F    - disparity in pixels (CV_32FC1)\n"
-            "   CAP_OPENNI_VALID_DEPTH_MASK     - mask of valid pixels (not ocluded, not shaded etc.) (CV_8UC1)\n"
+            "   CAP_OPENNI_VALID_DEPTH_MASK     - mask of valid pixels (not occluded, not shaded etc.) (CV_8UC1)\n"
             "2.) Data given from RGB image generator\n"
             "   CAP_OPENNI_BGR_IMAGE            - color image (CV_8UC3)\n"
             "   CAP_OPENNI_GRAY_IMAGE           - gray image (CV_8UC1)\n"