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- lowered memory usage (now the train use ~3x less memory) - improved speed (removed some bottlenecks and added fast_log) - added support to grayscale images - the LUV features are not computed if the image is grayscale (leads to an improved detection rate) - added various parameters (limit_ps, limit_bg, alpha, slidingStep, is_grayscale) - added detect() function for a better control of the resize factor