lagarith | lagarith offers better compression than codecs like huffyuv | Machine Learning library

lagarith is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. lagarith has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

lagarith offers better compression than codecs like huffyuv, alparysoft, and corepng. there are a few lossless codecs that can compress better than lagarith, such as msu and ffv1; however lagarith tends to be faster than these codecs. lagarith is able to operate in several colorspaces - rgb24, rgb32, rgba, yuy2, and yv12. for dvd video, the compression is typically only 10-30% better than huffyuv. however, for high static scenes or highly compressible scenes, lagarith significantly outperforms huffyuv. lagarith is able to outperform huffyuv due to the fact that it uses a much better compression method. pixel values are first predicted using median prediction (the same method used when "predict median" is selected in huffyuv). this results in a much more compressible data