Alexander Freytag
85c227f3d1
added all relevant files
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vor 11 Jahren | |
|---|---|---|
| data | vor 11 Jahren | |
| demos | vor 11 Jahren | |
| detect | vor 11 Jahren | |
| features | vor 11 Jahren | |
| learn | vor 11 Jahren | |
| misc | vor 11 Jahren | |
| LICENSE | vor 11 Jahren | |
| README | vor 11 Jahren | |
| compileWHOEfficient.m | vor 11 Jahren | |
| initWorkspaceWHOGeneric.m | vor 11 Jahren | |
| test.jpg | vor 11 Jahren | |
| train.jpg | vor 11 Jahren |
README
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COPYRIGHT
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This package contains Matlab source code for object detection with LDA models.
This repo is based on the original version of who from
(Bharath Hariharan, Jitendra Malik and Deva Ramanan.
Discriminative decorrelation for clustering and classification. In ECCV 2012 ).
We significantly altered it, making it more flexible, easier to access,
and less focused on hog features in general.
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START / SETUP
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Compile mex-files via
compileWHOEfficient
Setup workspace
initWorkspaceWHOGeneric
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
RUN DETECTION DEMO
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Run a demo which learns an LDA model for detecting bycicles and
using HOG features as underlying representation
demoWhitenedHOG
COPYRIGHT
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This package contains Matlab source code for object detection with LDA models.
This repo is based on the original version of who from
(Bharath Hariharan, Jitendra Malik and Deva Ramanan.
Discriminative decorrelation for clustering and classification. In ECCV 2012 ).
We significantly altered it, making it more flexible, easier to access,
and less focused on hog features in general.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
START / SETUP
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Compile mex-files via
compileWHOEfficient
Setup workspace
initWorkspaceWHOGeneric
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
RUN DETECTION DEMO
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Run a demo which learns an LDA model for detecting bycicles and
using HOG features as underlying representation
demoWhitenedHOG