NAME

       opencv_performance - evaluate the performance of the classifier

SYNOPSIS

       opencv_performance [options]

DESCRIPTION

       opencv_performance  evaluates  the performance of the classifier. It takes a collection of
       marked up test images, applies the classifier and outputs the performance, i.e. number  of
       found objects, number of missed objects, number of false alarms and other information.

       When  there is no such collection available test samples may be created from single object
       image by the opencv_createsamples(1) utility. The scheme of test samples creation in  this
       case is similar to training samples

       In the output, the table should be read:

       'Hits' shows the number of correctly found objects

       'Missed'
              shows  the  number  of  missed objects (must exist but are not found, also known as
              false negatives)

       'False'
              shows the number of false alarms (must not exist but are found, also known as false
              positives)

OPTIONS

       opencv_performance supports the following options:

       -data classifier_directory_name
              The directory, in which the classifier can be found.

       -info collection_file_name
              File with test samples description.

       -maxSizeDiff max_size_difference
              Determine the size criterion of reference and detected coincidence.  The default is
              1.500000.

       -maxPosDiff max_position_difference
              Determine the position  criterion  of  reference  and  detected  coincidence.   The
              default is 0.300000.

       -sf scale_factor
              Scale the detection window in each iteration. The default is 1.200000.

       -ni    Don't   save   detection   result   to   an   image.   This  could  be  useful,  if
              collection_file_name contains paths.

       -nos number_of_stages
              Number of stages to use. The default is -1 (all stages are used).

       -rs roc_size
              The default is 40.

       -h sample_height
              The sample height (must have the same value as used during creation).  The  default
              is 24.

       -w sample_width
              The  sample  width (must have the same value as used during creation).  The default
              is 24.

       The  same  information  is  shown,   if   opencv_performance   is   called   without   any
       arguments/options.

EXAMPLES

       To create training samples from one image applying distortions and show the results:

              opencv_performance -data trainout -info tests.dat

SEE ALSO

       opencv_createsamples(1), opencv_haartraing(1)

       More information and examples can be found in the OpenCV documentation.

AUTHORS

       This  manual  page  was  written  by  Daniel Leidert <daniel.leidert@wgdd.de> and Nobuhiro
       Iwamatsu <iwamatsu@debian.org> for the Debian project (but may be used by others).