added python wrapper macros in edge_filter.hpp
Merge branch 'edgefilter'
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).
Merge branch 'master' of github.com:Itseez/opencv_contrib
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
updated or_imagenet dataset loader
added first version of hpe_humaneva dataset loader
updated documentation
minor changes
Merge pull request #117 from avdmitry/datasets_enh

datasets module: enhancements
Adjusted test cases for SURF_CUDA, using new APIs
Merge pull request #123 from blackibiza84/master

Adjusted test cases for SURF_CUDA, using new APIs