opencv_performance.exe

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