OJL (Open Jazari Library) is a comprehensive framework designed for JVM languages, specializing in:

• Matrix Operations
• Data Visualization
• Image Processing
• Computer Vision
• Machine Learning
• Deep Learning
• JAZO Labeling Tool
  • Classic Bounding Box
  • Classic Polygon
  • Spline Based Lane Labeling
  • [Future Version] Automatic Labeling (SAM Based)

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

• Full JVM language compatibility
• High-performance matrix computations
• Advanced visualization techniques
• Integrated machine learning tools
• Comprehensive image processing capabilities

<dependency>
   <groupId>com.mycompany.ojl</groupId>
   <artifactId>OJL</artifactId>
   <version>1.0-SNAPSHOT</version>
</dependency> 

implementation 'com.github.hakmesyo:ojl:1.0.0'

Eğer kütüphaneyi yerel makinenizde derleyip kendi projelerinizde kullanmak isterseniz:

1. Projeyi Klonlayın: GitHub deposunu bilgisayarınıza indirin.
2. Derleme: Proje dizininde mvn clean install komutunu çalıştırın. Bu işlem, OJL'yi yerel Maven deponuza (.m2) kaydeder.
3. Kullanım: Başka bir projede kullanmak için sadece pom.xml dosyanıza yukarıdaki Maven bağımlılığını eklemeniz yeterlidir. Maven, .m2 deponuzdaki yerel kopyayı otomatik olarak kullanacaktır.

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());

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);

Comprehensive documentation available at OJL Documentation

We welcome contributions! Please read our Contribution Guidelines

• Project Owner: Musa Ataş
• Email: [email protected], [email protected]
• GitHub: https://github.com/hakmesyo
• Project Link: https://github.com/hakmesyo/OJL

Distributed under Apache 2.0 License. See LICENSE for more information.

Note: OJL is continuously evolving. Your feedback and contributions are valuable! 🌈