Object Recognition and scene understanding (7) Latent SVM model file XML in opencv

From this blog, we will gradually introduce DPM + latent SVM. For a brief introduction to DPM + latent SVM under opencv, refer to the previous blog: opencv latent SVM discriminatively trained part
Based Models for Object Detection

 

Take cat. XML (Sample/C in the opencv installation directory) as an example.

<Model>

<! -- Number of components -->

<Numcomponents> 2 </numcomponents>

<! -- Number of features -->

<P> 31 </P>

<! -- Score threshold -->

<Scorethreshold>-1.0028649999999999 </scorethreshold>

<Component>

<! -- Root filterdescription -->

<Rootfilter>

<! -- Dimensions -->

<Sizex> 5 </sizex>

<Sizey> 9 </sizey>

<! -- Weights (binary representation) -->

<Weights>

...

</Weights>

<! -- Linear termin Score Function -->

<Linearterm>-2.2535784347835031 </linearterm>

</Rootfilter>

 

<! -- Part filtersdescription -->

<Partfilters>

<Numpartfilters> 6 </numpartfilters>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

</Partfilters>

</Component>

<Component>

<! -- Root filterdescription -->

<Rootfilter>

<! -- Dimensions -->

<Sizex> 5 </sizex>

<Sizey> 9 </sizey>

<! -- Weights (binary representation) -->

<Weights>

...

</Weights>

 

<! -- Linear termin Score Function -->

<Linearterm>-2.5835343890077622 </linearterm>

</Rootfilter>

<! -- Part filters description -->

<Partfilters>

<Numpartfilters> 6 </numpartfilters>

<! -- Part filter? Description -->

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

<Partfilter>... </partfilter>

</Partfilters>

</Component>

</Model>

 

Internal Structure of partfilter:

<Partfilter>

<Sizex> 6 </sizex>

<Sizey> 6 </sizey>

<! -- Weights (binary representation) -->

<Weights> </weights>

 

<! -- Part filter offset -->

<V>

<VX> 3 </VX>

<Vy> 1 </Vy>

</V>

<! -- Quadratic penalty functioncoefficients -->

<Penalty>

<DX> 0.0004031731821276 </dx>

<Dy>-1, 0.0003745111759062 </dy>

<Dxx> 0.0100010270581015 </dxx>

<Dyy> 0.0205820897831230 </dyy>

</Penalty>

</Partfilter>

 

Note: 1. The data here is only for illustration. The weight node has a large data volume and is omitted. The partfilter node is a bit complicated and is listed in a single column;

2. Some concise descriptive text is not comprehensive. In partfilter, VX and Vy are the migration of hog. The items under the penalty node are used to calculate the Deformation
Model.