OJL [Open Jazari Library with Maven Support]

OJL is a matrix, data visualization, image processing, computer vision, machine learning and deep learning framework developed entirely for JVM languages.

Cite as : Ataş, M. (2016). Open Cezeri Library: A novel java based matrix and computer vision framework. Computer Applications in Engineering Education, 24(5), 736-743.

1- Data Visualization Module

-- Plot 2 different Perlin noise signals

    int min = -200;  
    int max = 200;  
    CMatrix cm1 = CMatrix.getInstance()  
            .range(min, max)  
            .perlinNoise(0.01f);  
    CMatrix cm2 = CMatrix.getInstance()  
            .range(min, max)  
            .perlinNoise(0.022f);  
    CMatrix cm = cm1.cat(1, cm2);  
    cm.plot(CMatrix.getInstance().range(min, max).toFloatArray1D());

-- Bar Plot Example with TFigureAttribute object

    TFigureAttribute attr=new TFigureAttribute(
            "Lane Detection Performance Evaluation",
            new String[]{"Accuracy","Groups"},
            new String[]{"Epoch-10","Epoch-20","Epoch-30","Epoch-40","Epoch-50"},
            new String[]{"SCNN","U-Net","ENet","ENet-SAD"}
    );
    CMatrix cm = CMatrix.getInstance()
            .rand(4, 5, -150f, 151f)
            .bar(attr)
            ;