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author | Igor Pashev <pashev.igor@gmail.com> | 2017-09-30 19:01:58 +0300 |
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committer | Igor Pashev <pashev.igor@gmail.com> | 2017-09-30 19:01:58 +0300 |
commit | eedc83800a867d34156b5c313510707a17016c6b (patch) | |
tree | e2f5a0fc92887ff915f37815d0f8cfe902032c2e /debian/man/opencv_performance.1 | |
download | opencv-eedc83800a867d34156b5c313510707a17016c6b.tar.gz |
Imported opencv 2.4.9.1+dfsg1-2debian/2.4.9.1+dfsg1-2debian
Diffstat (limited to 'debian/man/opencv_performance.1')
-rw-r--r-- | debian/man/opencv_performance.1 | 126 |
1 files changed, 126 insertions, 0 deletions
diff --git a/debian/man/opencv_performance.1 b/debian/man/opencv_performance.1 new file mode 100644 index 0000000..1742921 --- /dev/null +++ b/debian/man/opencv_performance.1 @@ -0,0 +1,126 @@ +.TH "OPENCV_PERFORMANCE" "1" "May 2010" "OpenCV" "User Commands" + + +.SH NAME +opencv_performance \- evaluate the performance of the classifier + + +.SH SYNOPSIS +.B opencv_performance [options] + + +.SH DESCRIPTION +.PP +.B 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. +.PP +When there is no such collection available test samples may be created from single +object image by the +.BR opencv_createsamples (1) +utility. The scheme of test samples creation in this case is similar to training samples +.PP +In the output, the table should be read: +.TP +.RB \(aq Hits \(aq +shows the number of correctly found objects +.TP +.RB \(aq Missed \(aq +shows the number of missed objects (must exist but are not found, also known +as false negatives) +.TP +.RB \(aq False \(aq +shows the number of false alarms (must not exist but are found, also known +as false positives) + + +.SH OPTIONS +.PP +.B opencv_performance +supports the following options: + +.PP + +.TP +.BI "\-data " classifier_directory_name +The directory, in which the classifier can be found. + +.TP +.BI "\-info " collection_file_name +File with test samples description. + +.TP +.BI "\-maxSizeDiff " max_size_difference +Determine the size criterion of reference and detected coincidence. +The default is +.IR 1.500000 . + +.TP +.BI "\-maxPosDiff " max_position_difference +Determine the position criterion of reference and detected coincidence. +The default is +.IR 0.300000 . + +.TP +.BI "\-sf " scale_factor +Scale the detection window in each iteration. The default is +.IR 1.200000 . + +.TP +.B \-ni +Don't save detection result to an image. This could be useful, if +.I collection_file_name +contains paths. + +.TP +.BI "\-nos " number_of_stages +Number of stages to use. The default is +.I \-1 +(all stages are used). + +.TP +.BI "\-rs " roc_size +The default is +.IR \40 . + +.TP +.BI "\-h " sample_height +The sample height (must have the same value as used during creation). +The default is +.IR 24 . + +.TP +.BI "\-w " sample_width +The sample width (must have the same value as used during creation). +The default is +.IR 24 . + +.PP +The same information is shown, if +.B opencv_performance +is called without any arguments/options. + + +.SH EXAMPLES +.PP +To create training samples from one image applying distortions and show the +results: +.IP +.B opencv_performance -data trainout -info tests.dat + + +.SH SEE ALSO +.PP +.BR opencv_createsamples (1), +.BR opencv_haartraing (1) +.PP +More information and examples can be found in the OpenCV documentation. + + +.SH AUTHORS +.PP +This manual page was written by \fBDaniel Leidert\fR <\&daniel.leidert@wgdd.de\&> +and \fBNobuhiro Iwamatsu\fR <\&iwamatsu@debian.org\&> +for the Debian project (but may be used by others). |