Latentsvm caskade #121
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Latentsvm caskade #121
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| // | ||
| //M*/ | ||
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| #ifndef __OPENCV_OBJDETECT_HPP__ |
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change macro name => OPENCV_LATENTSVM_HPP
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adas fix - 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 warning fixes buffer overrun fix Adaptive manifold filter changes: Memory consuming was reduced and performance was improved (10% average). Adaptive manifold filter: downsample/upsample operations where paralleled. adding more clear documentation updated or_sun dataset loader added fr_adience dataset loader added tr_svt benchmark logtopolar Fixed some existing doxygen comments updated or_imagenet dataset loader Compilation and tests fixes; fixing tests; some fixes; fixing build; fix warnings; fix warnings; added first version of hpe_humaneva dataset loader updated documentation minor changes some changes; Adjusted test cases for SURF_CUDA, using new APIs reworking interface; small fix;
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reopen PR #3
WIP