2019-03-24 17:22:43 +00:00
<!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" >
2019-07-08 15:49:21 +01:00
< title > torchreid.data.sampler — torchreid 0.8.1 documentation< / title >
2019-03-24 17:22:43 +00:00
< 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" >
2019-07-08 15:49:21 +01:00
0.8.1
2019-03-24 17:22:43 +00:00
< / 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.data.sampler< / 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.data.sampler< / 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" > division< / span >
< span class = "kn" > from< / span > < span class = "nn" > collections< / span > < span class = "k" > import< / span > < span class = "n" > defaultdict< / span >
< span class = "kn" > import< / span > < span class = "nn" > numpy< / span > < span class = "k" > as< / span > < span class = "nn" > np< / span >
< span class = "kn" > import< / span > < span class = "nn" > copy< / span >
< span class = "kn" > import< / span > < span class = "nn" > random< / span >
< span class = "kn" > import< / span > < span class = "nn" > torch< / span >
< span class = "kn" > from< / span > < span class = "nn" > torch.utils.data.sampler< / span > < span class = "k" > import< / span > < span class = "n" > Sampler< / span > < span class = "p" > ,< / span > < span class = "n" > RandomSampler< / span >
< div class = "viewcode-block" id = "RandomIdentitySampler" > < a class = "viewcode-back" href = "../../../pkg/data.html#torchreid.data.sampler.RandomIdentitySampler" > [docs]< / a > < span class = "k" > class< / span > < span class = "nc" > RandomIdentitySampler< / span > < span class = "p" > (< / span > < span class = "n" > Sampler< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " Randomly samples N identities each with K instances.< / span >
< span class = "sd" > Args:< / span >
< span class = "sd" > data_source (list): contains tuples of (img_path(s), pid, camid).< / span >
< span class = "sd" > batch_size (int): batch size.< / span >
< span class = "sd" > num_instances (int): number of instances per identity in a batch.< / span >
< span class = "sd" > " " " < / span >
< span class = "k" > def< / span > < span class = "nf" > __init__< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > data_source< / span > < span class = "p" > ,< / span > < span class = "n" > batch_size< / span > < span class = "p" > ,< / span > < span class = "n" > num_instances< / span > < span class = "p" > ):< / span >
2019-05-06 10:48:46 +01:00
< span class = "k" > if< / span > < span class = "n" > batch_size< / span > < span class = "o" > < < / span > < span class = "n" > num_instances< / span > < span class = "p" > :< / span >
< span class = "k" > raise< / span > < span class = "ne" > ValueError< / span > < span class = "p" > (< / span > < span class = "s1" > ' batch_size=< / span > < span class = "si" > {}< / span > < span class = "s1" > must be no less ' < / span >
< span class = "s1" > ' than num_instances=< / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "n" > batch_size< / span > < span class = "p" > ,< / span > < span class = "n" > num_instances< / span > < span class = "p" > ))< / span >
2019-03-24 17:22:43 +00:00
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > data_source< / span > < span class = "o" > =< / span > < span class = "n" > data_source< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > batch_size< / span > < span class = "o" > =< / span > < span class = "n" > batch_size< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span > < span class = "o" > =< / span > < span class = "n" > num_instances< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_pids_per_batch< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > batch_size< / span > < span class = "o" > //< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > index_dic< / span > < span class = "o" > =< / span > < span class = "n" > defaultdict< / span > < span class = "p" > (< / span > < span class = "nb" > list< / span > < span class = "p" > )< / span >
< span class = "k" > for< / span > < span class = "n" > index< / span > < span class = "p" > ,< / span > < span class = "p" > (< / span > < span class = "n" > _< / span > < span class = "p" > ,< / span > < span class = "n" > pid< / span > < span class = "p" > ,< / span > < span class = "n" > _< / span > < span class = "p" > )< / span > < span class = "ow" > in< / span > < span class = "nb" > enumerate< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > data_source< / span > < span class = "p" > ):< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > index_dic< / span > < span class = "p" > [< / span > < span class = "n" > pid< / span > < span class = "p" > ]< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > index< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > pids< / span > < span class = "o" > =< / span > < span class = "nb" > list< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > index_dic< / span > < span class = "o" > .< / span > < span class = "n" > keys< / span > < span class = "p" > ())< / span >
< span class = "c1" > # estimate number of examples in an epoch< / span >
< span class = "c1" > # TODO: improve precision< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > length< / span > < span class = "o" > =< / span > < span class = "mi" > 0< / span >
< span class = "k" > for< / span > < span class = "n" > pid< / span > < span class = "ow" > in< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > pids< / span > < span class = "p" > :< / span >
< span class = "n" > idxs< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > index_dic< / span > < span class = "p" > [< / span > < span class = "n" > pid< / span > < span class = "p" > ]< / span >
< span class = "n" > num< / span > < span class = "o" > =< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > idxs< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "n" > num< / span > < span class = "o" > < < / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span > < span class = "p" > :< / span >
< span class = "n" > num< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > length< / span > < span class = "o" > +=< / span > < span class = "n" > num< / span > < span class = "o" > -< / span > < span class = "n" > num< / span > < span class = "o" > %< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span >
< span class = "k" > def< / span > < span class = "nf" > __iter__< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ):< / span >
< span class = "n" > batch_idxs_dict< / span > < span class = "o" > =< / span > < span class = "n" > defaultdict< / span > < span class = "p" > (< / span > < span class = "nb" > list< / span > < span class = "p" > )< / span >
< span class = "k" > for< / span > < span class = "n" > pid< / span > < span class = "ow" > in< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > pids< / span > < span class = "p" > :< / span >
< span class = "n" > idxs< / span > < span class = "o" > =< / span > < span class = "n" > copy< / span > < span class = "o" > .< / span > < span class = "n" > deepcopy< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > index_dic< / span > < span class = "p" > [< / span > < span class = "n" > pid< / span > < span class = "p" > ])< / span >
< span class = "k" > if< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > idxs< / span > < span class = "p" > )< / span > < span class = "o" > < < / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span > < span class = "p" > :< / span >
< span class = "n" > idxs< / span > < span class = "o" > =< / span > < span class = "n" > np< / span > < span class = "o" > .< / span > < span class = "n" > random< / span > < span class = "o" > .< / span > < span class = "n" > choice< / span > < span class = "p" > (< / span > < span class = "n" > idxs< / span > < span class = "p" > ,< / span > < span class = "n" > size< / span > < span class = "o" > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span > < span class = "p" > ,< / span > < span class = "n" > replace< / span > < span class = "o" > =< / span > < span class = "kc" > True< / span > < span class = "p" > )< / span >
< span class = "n" > random< / span > < span class = "o" > .< / span > < span class = "n" > shuffle< / span > < span class = "p" > (< / span > < span class = "n" > idxs< / span > < span class = "p" > )< / span >
< span class = "n" > batch_idxs< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "k" > for< / span > < span class = "n" > idx< / span > < span class = "ow" > in< / span > < span class = "n" > idxs< / span > < span class = "p" > :< / span >
< span class = "n" > batch_idxs< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > idx< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > batch_idxs< / span > < span class = "p" > )< / span > < span class = "o" > ==< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_instances< / span > < span class = "p" > :< / span >
< span class = "n" > batch_idxs_dict< / span > < span class = "p" > [< / span > < span class = "n" > pid< / span > < span class = "p" > ]< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > batch_idxs< / span > < span class = "p" > )< / span >
< span class = "n" > batch_idxs< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "n" > avai_pids< / span > < span class = "o" > =< / span > < span class = "n" > copy< / span > < span class = "o" > .< / span > < span class = "n" > deepcopy< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > pids< / span > < span class = "p" > )< / span >
< span class = "n" > final_idxs< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "k" > while< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > avai_pids< / span > < span class = "p" > )< / span > < span class = "o" > > =< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_pids_per_batch< / span > < span class = "p" > :< / span >
< span class = "n" > selected_pids< / span > < span class = "o" > =< / span > < span class = "n" > random< / span > < span class = "o" > .< / span > < span class = "n" > sample< / span > < span class = "p" > (< / span > < span class = "n" > avai_pids< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > num_pids_per_batch< / span > < span class = "p" > )< / span >
< span class = "k" > for< / span > < span class = "n" > pid< / span > < span class = "ow" > in< / span > < span class = "n" > selected_pids< / span > < span class = "p" > :< / span >
< span class = "n" > batch_idxs< / span > < span class = "o" > =< / span > < span class = "n" > batch_idxs_dict< / span > < span class = "p" > [< / span > < span class = "n" > pid< / span > < span class = "p" > ]< / span > < span class = "o" > .< / span > < span class = "n" > pop< / span > < span class = "p" > (< / span > < span class = "mi" > 0< / span > < span class = "p" > )< / span >
< span class = "n" > final_idxs< / span > < span class = "o" > .< / span > < span class = "n" > extend< / span > < span class = "p" > (< / span > < span class = "n" > batch_idxs< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > batch_idxs_dict< / span > < span class = "p" > [< / span > < span class = "n" > pid< / span > < span class = "p" > ])< / span > < span class = "o" > ==< / span > < span class = "mi" > 0< / span > < span class = "p" > :< / span >
< span class = "n" > avai_pids< / span > < span class = "o" > .< / span > < span class = "n" > remove< / span > < span class = "p" > (< / span > < span class = "n" > pid< / span > < span class = "p" > )< / span >
< span class = "k" > return< / span > < span class = "nb" > iter< / span > < span class = "p" > (< / span > < span class = "n" > final_idxs< / span > < span class = "p" > )< / span >
< span class = "k" > def< / span > < span class = "nf" > __len__< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ):< / span >
< span class = "k" > return< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > length< / span > < / div >
< div class = "viewcode-block" id = "build_train_sampler" > < a class = "viewcode-back" href = "../../../pkg/data.html#torchreid.data.sampler.build_train_sampler" > [docs]< / a > < span class = "k" > def< / span > < span class = "nf" > build_train_sampler< / span > < span class = "p" > (< / span > < span class = "n" > data_source< / span > < span class = "p" > ,< / span > < span class = "n" > train_sampler< / span > < span class = "p" > ,< / span > < span class = "n" > batch_size< / span > < span class = "o" > =< / span > < span class = "mi" > 32< / span > < span class = "p" > ,< / span > < span class = "n" > num_instances< / span > < span class = "o" > =< / span > < span class = "mi" > 4< / span > < span class = "p" > ,< / span > < span class = "o" > **< / span > < span class = "n" > kwargs< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " Builds a training sampler.< / span >
< span class = "sd" > Args:< / span >
< span class = "sd" > data_source (list): contains tuples of (img_path(s), pid, camid).< / span >
< span class = "sd" > train_sampler (str): sampler name (default: ``RandomSampler``).< / span >
< span class = "sd" > batch_size (int, optional): batch size. Default is 32.< / span >
< span class = "sd" > num_instances (int, optional): number of instances per identity in a< / span >
< span class = "sd" > batch (for ``RandomIdentitySampler``). Default is 4.< / span >
< span class = "sd" > " " " < / span >
< span class = "k" > if< / span > < span class = "n" > train_sampler< / span > < span class = "o" > ==< / span > < span class = "s1" > ' RandomIdentitySampler' < / span > < span class = "p" > :< / span >
< span class = "n" > sampler< / span > < span class = "o" > =< / span > < span class = "n" > RandomIdentitySampler< / span > < span class = "p" > (< / span > < span class = "n" > data_source< / span > < span class = "p" > ,< / span > < span class = "n" > batch_size< / span > < span class = "p" > ,< / span > < span class = "n" > num_instances< / span > < span class = "p" > )< / span >
< span class = "k" > else< / span > < span class = "p" > :< / span >
< span class = "n" > sampler< / span > < span class = "o" > =< / span > < span class = "n" > RandomSampler< / span > < span class = "p" > (< / span > < span class = "n" > data_source< / span > < span class = "p" > )< / span >
< span class = "k" > return< / span > < span class = "n" > sampler< / 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 >
