Tips on 30Days30Skills(5)

TurnToJPG -->

Since the RESTful API is a little bit hard for setup, I ignore the Day10 and Day11, jump to Day 12, OpenCV.

Day 12 - OpenCV

Get the jar file

First download the opencv from: http://sourceforge.net/projects/opencvlibrary/files/latest/download

$ unzip *.zip
$ cd opencv-2.4.10
$ cmake -G "Unix Makefiles" -D CMAKE_CXX_COMPILER=/usr/bin/g++ -D CMAKE_C_COMPILER=/usr/bin/gcc -D WITH_CUDA=ON .. 
$ make -j4 && make install

Trouble shooting when generating openCV jar file:
Correct output should be:

--   Java:
--     ant:                         /bin/ant (ver 1.9.4)
--     JNI:                         /usr/lib/jvm/java-7-openjdk/include /usr/lib/jvm/java-7-openjdk/include/linux /usr/lib/jvm/java-7-openjdk/include
--     Java tests:                  YES

Add JNi

export JAVA_HOME=/usr/lib/jvm/java-7-openjdk/

Then build with following command:

$ cmake -G "Unix Makefiles" -D CMAKE_CXX_COMPILER=/usr/bin/g++ -D CMAKE_C_COMPILER=/usr/bin/gcc -D WITH_CUDA=ON -D BUILD_SHARED_LIBS=OFF -D BUILD_NEW_PYTHON_SUPPORT=NO .. && make

For MACOS, you should install:

$ brew install ant
$ export JAVA_HOME=`/usr/libexec/java_home -v 1.6`

Then re-compile and now you could get the jar file under build/bin/.

Development on OpenCV

Using eclipse LUNA.

(venv)[Trusty@~/code/30days/Day12OpenCV/opencv-2.4.10/build/bin]$ pwd
/home/Trusty/code/30days/Day12OpenCV/opencv-2.4.10/build/bin
(venv)[Trusty@~/code/30days/Day12OpenCV/opencv-2.4.10/build/bin]$ ls *.jar
opencv-2410.jar

Add the new User Libraries:

The detailed configuration steps could be refered to the http://segmentfault.com/a/1190000000358809, After configuration your User Libraries should be looked like this:

Add User Libraries thus you could see the configuration of the lib is looked like:

Code is like following:

package facedetection;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;

public class MyFaceDetectionClass {
    public static void main(String[] args) {

        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        System.out.println("\nRunning FaceDetector");

        CascadeClassifier faceDetector = new CascadeClassifier(MyFaceDetectionClass.class.getResource("haarcascade_frontalface_alt.xml").getPath());
        Mat image = Highgui
                .imread(MyFaceDetectionClass.class.getResource("shekhar.JPG").getPath());

        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);

        System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

        for (Rect rect : faceDetections.toArray()) {
            Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                    new Scalar(0, 255, 0));
        }

        String filename = "ouput.png";
        System.out.println(String.format("Writing %s", filename));
        Highgui.imwrite(filename, image);
    }
}

Then you should place the xml file and the JPG file under the java class, after doing this, run the application, then you will got the png file generate with face detected.

Day 13 - Dropwizard

First you should install mondb in ArchLinux:

$ sudo pacman -S mongodb

Then in eclipse, create a new Maven project with the template of “maven-archetype-quickstart”, with the following configuration of Artifact Id and Group id.

The default pom.xml should be modified,

Since the network environment is not stable, I created a vncserver at the VPS, and use VPS for developing.
In vps:

sudo apt-get install eclipse
sudo apt-get install mongodb

then install the maven from: http://download.eclipse.org/technology/m2e/releases/1.3