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boofcv.org Computer Vision Image Processing Robotics Java Library

BoofCV

BoofCV is an open-source Java library for real-time computer vision and robotics applications. It provides a wide range of functionalities for image processing, feature detection, geometric vision, and more, making it a versatile tool for developers and researchers in the field of computer vision.

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90K

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150K

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3.8 min

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Bounce Rate

40%

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Founded in

2011

Supported Languages

English, etc

Website Key Features

Real-time Processing

Optimized for real-time applications, BoofCV can handle live video feeds and process images at high speeds.

Feature Detection

Includes algorithms for detecting corners, edges, and other features in images.

Geometric Vision

Supports geometric vision tasks such as camera calibration, 3D reconstruction, and more.

Image Processing

Offers a comprehensive suite of image processing tools, including filtering, segmentation, and transformation.

Machine Learning Integration

Can be integrated with machine learning libraries for advanced image analysis and recognition tasks.

Cross-Platform

Being a Java library, BoofCV is cross-platform and can run on any system that supports Java.

Extensive Documentation

BoofCV comes with detailed documentation and examples to help users get started quickly.

Active Community

Has an active community of developers and researchers contributing to its development and offering support.

Additional information

License

BoofCV is released under the Apache License 2.0, allowing for both academic and commercial use.

Contributions

The project welcomes contributions from the community, including code, documentation, and bug reports.

Performance

BoofCV is designed with performance in mind, utilizing efficient algorithms and data structures to ensure fast processing times.

Applications

BoofCV is used in a variety of applications, including robotics, augmented reality, surveillance, and more.

Compatibility

BoofCV is compatible with other Java-based libraries and frameworks, making it easy to integrate into existing projects.

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