The target is to set up a high quality and real-time image process and machine learning library which is implemented in pure java. The framework can run application on java desktop and android platform.
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Back-end Developer Contributions:30 commits, 29 pushes in 1 year
Contributions summary:贾志刚 contributed to the `cv4j` library, primarily focused on image processing functionality. They implemented and modified core components, including template matching, binary thresholding, and image rotation algorithms. The user also added new features, such as support for normalized cross-correlation (NCC) in template matching and adaptive thresholding methods, enhancing the library's capabilities for various image analysis tasks. Furthermore, they fixed existing issues within the code.
androidjavamachine-learningrxjava2kotlin
Contributions:29 commits, 28 pushes, 1 branch in 3 years 8 months