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Split highgui module to videoio and highgui

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This commit is contained in:
vbystricky
2014-07-10 18:27:32 +04:00
committed by VBystricky
parent f773cd9a3e
commit d58f736935
149 changed files with 1673 additions and 1309 deletions
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2
doc/tutorials/introduction/clojure_dev_intro/clojure_dev_intro.rst
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@@ -656,7 +656,7 @@ classes we're going to use:
Results: Stored in vars *1, *2, *3, an exception in *e
user=> (import '[org.opencv.core Mat Size CvType]
'[org.opencv.highgui Highgui]
'[org.opencv.imgcodecs Imgcodecs]
'[org.opencv.imgproc Imgproc])
org.opencv.imgproc.Imgproc

6
doc/tutorials/introduction/desktop_java/java_dev_intro.rst
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@@ -373,7 +373,7 @@ Now modify src/main/java/HelloOpenCV.java so it contains the following Java code
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.objdetect.CascadeClassifier;
//
@@ -387,7 +387,7 @@ Now modify src/main/java/HelloOpenCV.java so it contains the following Java code
// Create a face detector from the cascade file in the resources
// directory.
CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("/lbpcascade_frontalface.xml").getPath());
Mat image = Highgui.imread(getClass().getResource("/lena.png").getPath());
Mat image = Imgcodecs.imread(getClass().getResource("/lena.png").getPath());
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
@@ -404,7 +404,7 @@ Now modify src/main/java/HelloOpenCV.java so it contains the following Java code
// Save the visualized detection.
String filename = "faceDetection.png";
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
Imgcodecs.imwrite(filename, image);
}
}

2
doc/tutorials/introduction/how_to_write_a_tutorial/how_to_write_a_tutorial.rst
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@@ -349,7 +349,7 @@ Now here's our recommendation for the structure of the tutorial (although, remem
:language: cpp
:linenos:
:tab-width: 4
:lines: 1-8, 21-22, 24-
:lines: 1-8, 21-23, 25-
After the directive you specify a relative path to the file from what to import. It has four options: the language to use, if you add the ``:linenos:`` the line numbers will be shown, you can specify the tab size with the ``:tab-width:`` and you do not need to load the whole file, you can show just the important lines. Use the *lines* option to do not show redundant information (such as the *help* function). Here basically you specify ranges, if the second range line number is missing than that means that until the end of the file. The ranges specified here do no need to be in an ascending order, you may even reorganize the structure of how you want to show your sample inside the tutorial.

2
doc/tutorials/introduction/windows_visual_studio_image_watch/windows_visual_studio_image_watch.rst
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@@ -32,7 +32,7 @@ Image Watch works with any existing project that uses OpenCV image objects (for
#include <iostream> // std::cout
#include <opencv2/core/core.hpp> // cv::Mat
#include <opencv2/highgui/highgui.hpp> // cv::imread()
#include <opencv2/imgcodecs/imgcodecs.hpp> // cv::imread()
#include <opencv2/imgproc/imgproc.hpp> // cv::Canny()
using namespace std;