Open Jazari Library (OJL)

📘 Overview

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)

�引用 Academic Citation

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

🚀 Key Features

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

📦 Installation

Maven Dependency

<dependency>
    <groupId>com.github.hakmesyo</groupId>
    <artifactId>ojl</artifactId>
    <version>1.0.0</version>
</dependency>

Gradle Dependency

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

🛠 Usage Examples

1. Data Visualization: Perlin Noise Plotting

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());

2. Bar Plot with Custom Attributes

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);

📚 Documentation

Comprehensive documentation available at OJL Documentation

🤝 Contributing

We welcome contributions! Please read our Contribution Guidelines

📞 Contact

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

📜 License

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

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