2019-03-25 01:22:43 +08:00
<!DOCTYPE html>
<!-- [if IE 8]><html class="no - js lt - ie9" lang="en" > <![endif] -->
<!-- [if gt IE 8]><! --> < html class = "no-js" lang = "en" > <!-- <![endif] -->
< head >
< meta charset = "utf-8" >
< meta name = "viewport" content = "width=device-width, initial-scale=1.0" >
2019-05-22 23:18:39 +08:00
< title > torchreid.metrics.accuracy — torchreid 0.7.6 documentation< / title >
2019-03-25 01:22:43 +08:00
< script type = "text/javascript" src = "../../../_static/js/modernizr.min.js" > < / script >
< script type = "text/javascript" id = "documentation_options" data-url_root = "../../../" src = "../../../_static/documentation_options.js" > < / script >
< script type = "text/javascript" src = "../../../_static/jquery.js" > < / script >
< script type = "text/javascript" src = "../../../_static/underscore.js" > < / script >
< script type = "text/javascript" src = "../../../_static/doctools.js" > < / script >
< script type = "text/javascript" src = "../../../_static/language_data.js" > < / script >
< script async = "async" type = "text/javascript" src = "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS-MML_HTMLorMML" > < / script >
< script type = "text/javascript" src = "../../../_static/js/theme.js" > < / script >
< link rel = "stylesheet" href = "../../../_static/css/theme.css" type = "text/css" / >
< link rel = "stylesheet" href = "../../../_static/pygments.css" type = "text/css" / >
< link rel = "index" title = "Index" href = "../../../genindex.html" / >
< link rel = "search" title = "Search" href = "../../../search.html" / >
< / head >
< body class = "wy-body-for-nav" >
< div class = "wy-grid-for-nav" >
< nav data-toggle = "wy-nav-shift" class = "wy-nav-side" >
< div class = "wy-side-scroll" >
< div class = "wy-side-nav-search" >
< a href = "../../../index.html" class = "icon icon-home" > torchreid
< / a >
< div class = "version" >
2019-05-22 23:18:39 +08:00
0.7.6
2019-03-25 01:22:43 +08:00
< / div >
< div role = "search" >
< form id = "rtd-search-form" class = "wy-form" action = "../../../search.html" method = "get" >
< input type = "text" name = "q" placeholder = "Search docs" / >
< input type = "hidden" name = "check_keywords" value = "yes" / >
< input type = "hidden" name = "area" value = "default" / >
< / form >
< / div >
< / div >
< div class = "wy-menu wy-menu-vertical" data-spy = "affix" role = "navigation" aria-label = "main navigation" >
< ul >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../user_guide.html" > How-to< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../datasets.html" > Datasets< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../evaluation.html" > Evaluation< / a > < / li >
< / ul >
< p class = "caption" > < span class = "caption-text" > Package Reference< / span > < / p >
< ul >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/data.html" > torchreid.data< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/engine.html" > torchreid.engine< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/losses.html" > torchreid.losses< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/metrics.html" > torchreid.metrics< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/models.html" > torchreid.models< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/optim.html" > torchreid.optim< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../pkg/utils.html" > torchreid.utils< / a > < / li >
< / ul >
< p class = "caption" > < span class = "caption-text" > Resources< / span > < / p >
< ul >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../AWESOME_REID.html" > Awesome-ReID< / a > < / li >
< li class = "toctree-l1" > < a class = "reference internal" href = "../../../MODEL_ZOO.html" > Model Zoo< / a > < / li >
< / ul >
< / div >
< / div >
< / nav >
< section data-toggle = "wy-nav-shift" class = "wy-nav-content-wrap" >
< nav class = "wy-nav-top" aria-label = "top navigation" >
< i data-toggle = "wy-nav-top" class = "fa fa-bars" > < / i >
< a href = "../../../index.html" > torchreid< / a >
< / nav >
< div class = "wy-nav-content" >
< div class = "rst-content" >
< div role = "navigation" aria-label = "breadcrumbs navigation" >
< ul class = "wy-breadcrumbs" >
< li > < a href = "../../../index.html" > Docs< / a > » < / li >
< li > < a href = "../../index.html" > Module code< / a > » < / li >
< li > torchreid.metrics.accuracy< / li >
< li class = "wy-breadcrumbs-aside" >
< / li >
< / ul >
< hr / >
< / div >
< div role = "main" class = "document" itemscope = "itemscope" itemtype = "http://schema.org/Article" >
< div itemprop = "articleBody" >
< h1 > Source code for torchreid.metrics.accuracy< / h1 > < div class = "highlight" > < pre >
< span > < / span > < span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > absolute_import< / span >
< span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > print_function< / span >
< span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > division< / span >
< div class = "viewcode-block" id = "accuracy" > < a class = "viewcode-back" href = "../../../pkg/metrics.html#torchreid.metrics.accuracy.accuracy" > [docs]< / a > < span class = "k" > def< / span > < span class = "nf" > accuracy< / span > < span class = "p" > (< / span > < span class = "n" > output< / span > < span class = "p" > ,< / span > < span class = "n" > target< / span > < span class = "p" > ,< / span > < span class = "n" > topk< / span > < span class = "o" > =< / span > < span class = "p" > (< / span > < span class = "mi" > 1< / span > < span class = "p" > ,)):< / span >
< span class = "sd" > " " " Computes the accuracy over the k top predictions for< / span >
< span class = "sd" > the specified values of k.< / span >
< span class = "sd" > Args:< / span >
< span class = "sd" > output (torch.Tensor): prediction matrix with shape (batch_size, num_classes).< / span >
< span class = "sd" > target (torch.LongTensor): ground truth labels with shape (batch_size).< / span >
< span class = "sd" > topk (tuple, optional): accuracy at top-k will be computed. For example,< / span >
< span class = "sd" > topk=(1, 5) means accuracy at top-1 and top-5 will be computed.< / span >
< span class = "sd" > Returns:< / span >
< span class = "sd" > list: accuracy at top-k.< / span >
< span class = "sd" > Examples::< / span >
< span class = "sd" > > > > from torchreid import metrics< / span >
< span class = "sd" > > > > metrics.accuracy(output, target)< / span >
< span class = "sd" > " " " < / span >
< span class = "n" > maxk< / span > < span class = "o" > =< / span > < span class = "nb" > max< / span > < span class = "p" > (< / span > < span class = "n" > topk< / span > < span class = "p" > )< / span >
< span class = "n" > batch_size< / span > < span class = "o" > =< / span > < span class = "n" > target< / span > < span class = "o" > .< / span > < span class = "n" > size< / span > < span class = "p" > (< / span > < span class = "mi" > 0< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > output< / span > < span class = "p" > ,< / span > < span class = "p" > (< / span > < span class = "nb" > tuple< / span > < span class = "p" > ,< / span > < span class = "nb" > list< / span > < span class = "p" > )):< / span >
< span class = "n" > output< / span > < span class = "o" > =< / span > < span class = "n" > output< / span > < span class = "p" > [< / span > < span class = "mi" > 0< / span > < span class = "p" > ]< / span >
< span class = "n" > _< / span > < span class = "p" > ,< / span > < span class = "n" > pred< / span > < span class = "o" > =< / span > < span class = "n" > output< / span > < span class = "o" > .< / span > < span class = "n" > topk< / span > < span class = "p" > (< / span > < span class = "n" > maxk< / span > < span class = "p" > ,< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "kc" > True< / span > < span class = "p" > ,< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "n" > pred< / span > < span class = "o" > =< / span > < span class = "n" > pred< / span > < span class = "o" > .< / span > < span class = "n" > t< / span > < span class = "p" > ()< / span >
< span class = "n" > correct< / span > < span class = "o" > =< / span > < span class = "n" > pred< / span > < span class = "o" > .< / span > < span class = "n" > eq< / span > < span class = "p" > (< / span > < span class = "n" > target< / span > < span class = "o" > .< / span > < span class = "n" > view< / span > < span class = "p" > (< / span > < span class = "mi" > 1< / span > < span class = "p" > ,< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span > < span class = "o" > .< / span > < span class = "n" > expand_as< / span > < span class = "p" > (< / span > < span class = "n" > pred< / span > < span class = "p" > ))< / span >
< span class = "n" > res< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "k" > for< / span > < span class = "n" > k< / span > < span class = "ow" > in< / span > < span class = "n" > topk< / span > < span class = "p" > :< / span >
< span class = "n" > correct_k< / span > < span class = "o" > =< / span > < span class = "n" > correct< / span > < span class = "p" > [:< / span > < span class = "n" > k< / span > < span class = "p" > ]< / span > < span class = "o" > .< / span > < span class = "n" > view< / span > < span class = "p" > (< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span > < span class = "o" > .< / span > < span class = "n" > float< / span > < span class = "p" > ()< / span > < span class = "o" > .< / span > < span class = "n" > sum< / span > < span class = "p" > (< / span > < span class = "mi" > 0< / span > < span class = "p" > ,< / span > < span class = "n" > keepdim< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "n" > acc< / span > < span class = "o" > =< / span > < span class = "n" > correct_k< / span > < span class = "o" > .< / span > < span class = "n" > mul_< / span > < span class = "p" > (< / span > < span class = "mf" > 100.0< / span > < span class = "o" > /< / span > < span class = "n" > batch_size< / span > < span class = "p" > )< / span >
< span class = "n" > res< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > acc< / span > < span class = "p" > )< / span >
< span class = "k" > return< / span > < span class = "n" > res< / span > < / div >
< / pre > < / div >
< / div >
< / div >
< footer >
< hr / >
< div role = "contentinfo" >
< p >
© Copyright 2019, Kaiyang Zhou
< / p >
< / div >
Built with < a href = "http://sphinx-doc.org/" > Sphinx< / a > using a < a href = "https://github.com/rtfd/sphinx_rtd_theme" > theme< / a > provided by < a href = "https://readthedocs.org" > Read the Docs< / a > .
< / footer >
< / div >
< / div >
< / section >
< / div >
< script type = "text/javascript" >
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
< / script >
< / body >
< / html >
