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<div class="section" id="torchreid-data">
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<span id="id1"></span><h1>torchreid.data<a class="headerlink" href="#torchreid-data" title="Permalink to this headline">¶</a></h1>
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<div class="section" id="module-torchreid.data.datamanager">
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<span id="data-manager"></span><h2>Data Manager<a class="headerlink" href="#module-torchreid.data.datamanager" title="Permalink to this headline">¶</a></h2>
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<dl class="class">
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<dt id="torchreid.data.datamanager.DataManager">
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<em class="property">class </em><code class="descclassname">torchreid.data.datamanager.</code><code class="descname">DataManager</code><span class="sig-paren">(</span><em>sources=None</em>, <em>targets=None</em>, <em>height=256</em>, <em>width=128</em>, <em>random_erase=False</em>, <em>color_jitter=False</em>, <em>color_aug=False</em>, <em>use_cpu=False</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datamanager.html#DataManager"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datamanager.DataManager" title="Permalink to this definition">¶</a></dt>
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<dd><p>Base data manager.</p>
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<table class="docutils field-list" frame="void" rules="none">
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||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
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||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
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||
<li><strong>sources</strong> (<em>str</em><em> or </em><em>list</em>) – source dataset(s).</li>
|
||
<li><strong>targets</strong> (<em>str</em><em> or </em><em>list</em><em>, </em><em>optional</em>) – target dataset(s). If not given,
|
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it equals to <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</li>
|
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<li><strong>height</strong> (<em>int</em><em>, </em><em>optional</em>) – target image height. Default is 256.</li>
|
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<li><strong>width</strong> (<em>int</em><em>, </em><em>optional</em>) – target image width. Default is 128.</li>
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<li><strong>random_erase</strong> (<em>bool</em><em>, </em><em>optional</em>) – use random erasing. Default is False.</li>
|
||
<li><strong>color_jitter</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color jittering. Default is False.</li>
|
||
<li><strong>color_aug</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color augmentation. Default is False.</li>
|
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<li><strong>use_cpu</strong> (<em>bool</em><em>, </em><em>optional</em>) – use cpu. Default is False.</li>
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</ul>
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</td>
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</tr>
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</tbody>
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</table>
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<dl class="attribute">
|
||
<dt id="torchreid.data.datamanager.DataManager.num_train_cams">
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||
<code class="descname">num_train_cams</code><a class="headerlink" href="#torchreid.data.datamanager.DataManager.num_train_cams" title="Permalink to this definition">¶</a></dt>
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<dd><p>Returns the number of training cameras.</p>
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</dd></dl>
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|
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<dl class="attribute">
|
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<dt id="torchreid.data.datamanager.DataManager.num_train_pids">
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<code class="descname">num_train_pids</code><a class="headerlink" href="#torchreid.data.datamanager.DataManager.num_train_pids" title="Permalink to this definition">¶</a></dt>
|
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<dd><p>Returns the number of training person identities.</p>
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</dd></dl>
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<dl class="method">
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<dt id="torchreid.data.datamanager.DataManager.return_dataloaders">
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<code class="descname">return_dataloaders</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datamanager.html#DataManager.return_dataloaders"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datamanager.DataManager.return_dataloaders" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Returns trainloader and testloader.</p>
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||
</dd></dl>
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||
|
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<dl class="method">
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<dt id="torchreid.data.datamanager.DataManager.return_testdataset_by_name">
|
||
<code class="descname">return_testdataset_by_name</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datamanager.html#DataManager.return_testdataset_by_name"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datamanager.DataManager.return_testdataset_by_name" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Returns query and gallery of a test dataset, each containing
|
||
tuples of (img_path(s), pid, camid).</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>name</strong> (<em>str</em>) – dataset name.</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
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</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="class">
|
||
<dt id="torchreid.data.datamanager.ImageDataManager">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datamanager.</code><code class="descname">ImageDataManager</code><span class="sig-paren">(</span><em>root=''</em>, <em>sources=None</em>, <em>targets=None</em>, <em>height=256</em>, <em>width=128</em>, <em>random_erase=False</em>, <em>color_jitter=False</em>, <em>color_aug=False</em>, <em>use_cpu=False</em>, <em>split_id=0</em>, <em>combineall=False</em>, <em>batch_size=32</em>, <em>workers=4</em>, <em>num_instances=4</em>, <em>train_sampler=''</em>, <em>cuhk03_labeled=False</em>, <em>cuhk03_classic_split=False</em>, <em>market1501_500k=False</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datamanager.html#ImageDataManager"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datamanager.ImageDataManager" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Image data manager.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>root</strong> (<em>str</em>) – root path to datasets.</li>
|
||
<li><strong>sources</strong> (<em>str</em><em> or </em><em>list</em>) – source dataset(s).</li>
|
||
<li><strong>targets</strong> (<em>str</em><em> or </em><em>list</em><em>, </em><em>optional</em>) – target dataset(s). If not given,
|
||
it equals to <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</li>
|
||
<li><strong>height</strong> (<em>int</em><em>, </em><em>optional</em>) – target image height. Default is 256.</li>
|
||
<li><strong>width</strong> (<em>int</em><em>, </em><em>optional</em>) – target image width. Default is 128.</li>
|
||
<li><strong>random_erase</strong> (<em>bool</em><em>, </em><em>optional</em>) – use random erasing. Default is False.</li>
|
||
<li><strong>color_jitter</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color jittering. Default is False.</li>
|
||
<li><strong>color_aug</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color augmentation. Default is False.</li>
|
||
<li><strong>use_cpu</strong> (<em>bool</em><em>, </em><em>optional</em>) – use cpu. Default is False.</li>
|
||
<li><strong>split_id</strong> (<em>int</em><em>, </em><em>optional</em>) – split id (<em>0-based</em>). Default is 0.</li>
|
||
<li><strong>combineall</strong> (<em>bool</em><em>, </em><em>optional</em>) – combine train, query and gallery in a dataset for
|
||
training. Default is False.</li>
|
||
<li><strong>batch_size</strong> (<em>int</em><em>, </em><em>optional</em>) – number of images in a batch. Default is 32.</li>
|
||
<li><strong>workers</strong> (<em>int</em><em>, </em><em>optional</em>) – number of workers. Default is 4.</li>
|
||
<li><strong>num_instances</strong> (<em>int</em><em>, </em><em>optional</em>) – number of instances per identity in a batch.
|
||
Default is 4.</li>
|
||
<li><strong>train_sampler</strong> (<em>str</em><em>, </em><em>optional</em>) – sampler. Default is empty (<code class="docutils literal notranslate"><span class="pre">RandomSampler</span></code>).</li>
|
||
<li><strong>cuhk03_labeled</strong> (<em>bool</em><em>, </em><em>optional</em>) – use cuhk03 labeled images.
|
||
Default is False (defaul is to use detected images).</li>
|
||
<li><strong>cuhk03_classic_split</strong> (<em>bool</em><em>, </em><em>optional</em>) – use the classic split in cuhk03.
|
||
Default is False.</li>
|
||
<li><strong>market1501_500k</strong> (<em>bool</em><em>, </em><em>optional</em>) – add 500K distractors to the gallery
|
||
set in market1501. Default is False.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>Examples:</p>
|
||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">datamanager</span> <span class="o">=</span> <span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">ImageDataManager</span><span class="p">(</span>
|
||
<span class="n">root</span><span class="o">=</span><span class="s1">'path/to/reid-data'</span><span class="p">,</span>
|
||
<span class="n">sources</span><span class="o">=</span><span class="s1">'market1501'</span><span class="p">,</span>
|
||
<span class="n">height</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span>
|
||
<span class="n">width</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span>
|
||
<span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span>
|
||
<span class="p">)</span>
|
||
</pre></div>
|
||
</div>
|
||
</dd></dl>
|
||
|
||
<dl class="class">
|
||
<dt id="torchreid.data.datamanager.VideoDataManager">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datamanager.</code><code class="descname">VideoDataManager</code><span class="sig-paren">(</span><em>root=''</em>, <em>sources=None</em>, <em>targets=None</em>, <em>height=256</em>, <em>width=128</em>, <em>random_erase=False</em>, <em>color_jitter=False</em>, <em>color_aug=False</em>, <em>use_cpu=False</em>, <em>split_id=0</em>, <em>combineall=False</em>, <em>batch_size=3</em>, <em>workers=4</em>, <em>num_instances=4</em>, <em>train_sampler=None</em>, <em>seq_len=15</em>, <em>sample_method='evenly'</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datamanager.html#VideoDataManager"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datamanager.VideoDataManager" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Video data manager.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>root</strong> (<em>str</em>) – root path to datasets.</li>
|
||
<li><strong>sources</strong> (<em>str</em><em> or </em><em>list</em>) – source dataset(s).</li>
|
||
<li><strong>targets</strong> (<em>str</em><em> or </em><em>list</em><em>, </em><em>optional</em>) – target dataset(s). If not given,
|
||
it equals to <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</li>
|
||
<li><strong>height</strong> (<em>int</em><em>, </em><em>optional</em>) – target image height. Default is 256.</li>
|
||
<li><strong>width</strong> (<em>int</em><em>, </em><em>optional</em>) – target image width. Default is 128.</li>
|
||
<li><strong>random_erase</strong> (<em>bool</em><em>, </em><em>optional</em>) – use random erasing. Default is False.</li>
|
||
<li><strong>color_jitter</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color jittering. Default is False.</li>
|
||
<li><strong>color_aug</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color augmentation. Default is False.</li>
|
||
<li><strong>use_cpu</strong> (<em>bool</em><em>, </em><em>optional</em>) – use cpu. Default is False.</li>
|
||
<li><strong>split_id</strong> (<em>int</em><em>, </em><em>optional</em>) – split id (<em>0-based</em>). Default is 0.</li>
|
||
<li><strong>combineall</strong> (<em>bool</em><em>, </em><em>optional</em>) – combine train, query and gallery in a dataset for
|
||
training. Default is False.</li>
|
||
<li><strong>batch_size</strong> (<em>int</em><em>, </em><em>optional</em>) – number of <em>tracklets</em> in a batch. Default is 3.</li>
|
||
<li><strong>workers</strong> (<em>int</em><em>, </em><em>optional</em>) – number of workers. Default is 4.</li>
|
||
<li><strong>num_instances</strong> (<em>int</em><em>, </em><em>optional</em>) – number of instances per identity in a batch.
|
||
Default is 4.</li>
|
||
<li><strong>train_sampler</strong> (<em>str</em><em>, </em><em>optional</em>) – sampler. Default is empty (<code class="docutils literal notranslate"><span class="pre">RandomSampler</span></code>).</li>
|
||
<li><strong>seq_len</strong> (<em>int</em><em>, </em><em>optional</em>) – how many images to sample in a tracklet. Default is 15.</li>
|
||
<li><strong>sample_method</strong> (<em>str</em><em>, </em><em>optional</em>) – how to sample images in a tracklet. Default is “evenly”.
|
||
Choices are [“evenly”, “random”, “all”]. “evenly” and “random” sample <code class="docutils literal notranslate"><span class="pre">seq_len</span></code>
|
||
images in a tracklet while “all” samples all images in a tracklet, thus <code class="docutils literal notranslate"><span class="pre">batch_size</span></code>
|
||
needs to be set to 1.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>Examples:</p>
|
||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">datamanager</span> <span class="o">=</span> <span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">VideoDataManager</span><span class="p">(</span>
|
||
<span class="n">root</span><span class="o">=</span><span class="s1">'path/to/reid-data'</span><span class="p">,</span>
|
||
<span class="n">sources</span><span class="o">=</span><span class="s1">'mars'</span><span class="p">,</span>
|
||
<span class="n">height</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span>
|
||
<span class="n">width</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span>
|
||
<span class="n">batch_size</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
|
||
<span class="n">seq_len</span><span class="o">=</span><span class="mi">15</span><span class="p">,</span>
|
||
<span class="n">sample_method</span><span class="o">=</span><span class="s1">'evenly'</span>
|
||
<span class="p">)</span>
|
||
</pre></div>
|
||
</div>
|
||
</dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-torchreid.data.sampler">
|
||
<span id="sampler"></span><h2>Sampler<a class="headerlink" href="#module-torchreid.data.sampler" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="class">
|
||
<dt id="torchreid.data.sampler.RandomIdentitySampler">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.sampler.</code><code class="descname">RandomIdentitySampler</code><span class="sig-paren">(</span><em>data_source</em>, <em>batch_size</em>, <em>num_instances</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/sampler.html#RandomIdentitySampler"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.sampler.RandomIdentitySampler" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Randomly samples N identities each with K instances.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>data_source</strong> (<em>list</em>) – contains tuples of (img_path(s), pid, camid).</li>
|
||
<li><strong>batch_size</strong> (<em>int</em>) – batch size.</li>
|
||
<li><strong>num_instances</strong> (<em>int</em>) – number of instances per identity in a batch.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
<dl class="function">
|
||
<dt id="torchreid.data.sampler.build_train_sampler">
|
||
<code class="descclassname">torchreid.data.sampler.</code><code class="descname">build_train_sampler</code><span class="sig-paren">(</span><em>data_source</em>, <em>train_sampler</em>, <em>batch_size=32</em>, <em>num_instances=4</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/sampler.html#build_train_sampler"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.sampler.build_train_sampler" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Builds a training sampler.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>data_source</strong> (<em>list</em>) – contains tuples of (img_path(s), pid, camid).</li>
|
||
<li><strong>train_sampler</strong> (<em>str</em>) – sampler name (default: <code class="docutils literal notranslate"><span class="pre">RandomSampler</span></code>).</li>
|
||
<li><strong>batch_size</strong> (<em>int</em><em>, </em><em>optional</em>) – batch size. Default is 32.</li>
|
||
<li><strong>num_instances</strong> (<em>int</em><em>, </em><em>optional</em>) – number of instances per identity in a
|
||
batch (for <code class="docutils literal notranslate"><span class="pre">RandomIdentitySampler</span></code>). Default is 4.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-torchreid.data.transforms">
|
||
<span id="transforms"></span><h2>Transforms<a class="headerlink" href="#module-torchreid.data.transforms" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="class">
|
||
<dt id="torchreid.data.transforms.ColorAugmentation">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.transforms.</code><code class="descname">ColorAugmentation</code><span class="sig-paren">(</span><em>p=0.5</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/transforms.html#ColorAugmentation"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.transforms.ColorAugmentation" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Randomly alters the intensities of RGB channels.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Krizhevsky et al. ImageNet Classification with Deep ConvolutionalNeural
|
||
Networks. NIPS 2012.</dd>
|
||
</dl>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – probability that this operation takes place.
|
||
Default is 0.5.</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
<dl class="class">
|
||
<dt id="torchreid.data.transforms.Random2DTranslation">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.transforms.</code><code class="descname">Random2DTranslation</code><span class="sig-paren">(</span><em>height</em>, <em>width</em>, <em>p=0.5</em>, <em>interpolation=2</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/transforms.html#Random2DTranslation"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.transforms.Random2DTranslation" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Randomly translates the input image with a probability.</p>
|
||
<p>Specifically, given a predefined shape (height, width), the input is first
|
||
resized with a factor of 1.25, leading to (height*1.25, width*1.25), then
|
||
a random crop is performed. Such operation is done with a probability.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>height</strong> (<em>int</em>) – target image height.</li>
|
||
<li><strong>width</strong> (<em>int</em>) – target image width.</li>
|
||
<li><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – probability that this operation takes place.
|
||
Default is 0.5.</li>
|
||
<li><strong>interpolation</strong> (<em>int</em><em>, </em><em>optional</em>) – desired interpolation. Default is
|
||
<code class="docutils literal notranslate"><span class="pre">PIL.Image.BILINEAR</span></code></li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
<dl class="class">
|
||
<dt id="torchreid.data.transforms.RandomErasing">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.transforms.</code><code class="descname">RandomErasing</code><span class="sig-paren">(</span><em>probability=0.5, sl=0.02, sh=0.4, r1=0.3, mean=[0.4914, 0.4822, 0.4465]</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/transforms.html#RandomErasing"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.transforms.RandomErasing" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Randomly erases an image patch.</p>
|
||
<p>Origin: <a class="reference external" href="https://github.com/zhunzhong07/Random-Erasing">https://github.com/zhunzhong07/Random-Erasing</a></p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Zhong et al. Random Erasing Data Augmentation.</dd>
|
||
</dl>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>probability</strong> (<em>float</em><em>, </em><em>optional</em>) – probability that this operation takes place.
|
||
Default is 0.5.</li>
|
||
<li><strong>sl</strong> (<em>float</em><em>, </em><em>optional</em>) – min erasing area.</li>
|
||
<li><strong>sh</strong> (<em>float</em><em>, </em><em>optional</em>) – max erasing area.</li>
|
||
<li><strong>r1</strong> (<em>float</em><em>, </em><em>optional</em>) – min aspect ratio.</li>
|
||
<li><strong>mean</strong> (<em>list</em><em>, </em><em>optional</em>) – erasing value.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
<dl class="function">
|
||
<dt id="torchreid.data.transforms.build_transforms">
|
||
<code class="descclassname">torchreid.data.transforms.</code><code class="descname">build_transforms</code><span class="sig-paren">(</span><em>height, width, random_erase=False, color_jitter=False, color_aug=False, norm_mean=[0.485, 0.456, 0.406], norm_std=[0.229, 0.224, 0.225], **kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/transforms.html#build_transforms"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.transforms.build_transforms" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Builds train and test transform functions</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>height</strong> (<em>int</em>) – target image height.</li>
|
||
<li><strong>width</strong> (<em>int</em>) – target image width.</li>
|
||
<li><strong>random_erase</strong> (<em>bool</em><em>, </em><em>optional</em>) – use random erasing. Default is False.</li>
|
||
<li><strong>color_jitter</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color jittering. Default is False.</li>
|
||
<li><strong>color_aug</strong> (<em>bool</em><em>, </em><em>optional</em>) – use color augmentation. Default is False.</li>
|
||
<li><strong>norm_mean</strong> (<em>list</em>) – normalization mean values. Default is ImageNet means.</li>
|
||
<li><strong>norm_std</strong> (<em>list</em>) – normalization standard deviation values. Default is
|
||
ImageNet standard deviation values.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-torchreid.data.datasets.dataset">
|
||
<span id="dataset"></span><h2>Dataset<a class="headerlink" href="#module-torchreid.data.datasets.dataset" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="class">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.dataset.</code><code class="descname">Dataset</code><span class="sig-paren">(</span><em>train</em>, <em>query</em>, <em>gallery</em>, <em>transform=None</em>, <em>mode='train'</em>, <em>combineall=False</em>, <em>verbose=True</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>An abstract class representing a Dataset.</p>
|
||
<p>This is the base class for <code class="docutils literal notranslate"><span class="pre">ImageDataset</span></code> and <code class="docutils literal notranslate"><span class="pre">VideoDataset</span></code>.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>train</strong> (<em>list</em>) – contains tuples of (img_path(s), pid, camid).</li>
|
||
<li><strong>query</strong> (<em>list</em>) – contains tuples of (img_path(s), pid, camid).</li>
|
||
<li><strong>gallery</strong> (<em>list</em>) – contains tuples of (img_path(s), pid, camid).</li>
|
||
<li><strong>transform</strong> – transform function.</li>
|
||
<li><strong>mode</strong> (<em>str</em>) – ‘train’, ‘query’ or ‘gallery’.</li>
|
||
<li><strong>combineall</strong> (<em>bool</em>) – combines train, query and gallery in a
|
||
dataset for training.</li>
|
||
<li><strong>verbose</strong> (<em>bool</em>) – show information.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset.check_before_run">
|
||
<code class="descname">check_before_run</code><span class="sig-paren">(</span><em>required_files</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset.check_before_run"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset.check_before_run" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Checks if required files exist before going deeper.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>required_files</strong> (<em>str</em><em> or </em><em>list</em>) – string file name(s).</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset.combine_all">
|
||
<code class="descname">combine_all</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset.combine_all"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset.combine_all" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Combines train, query and gallery in a dataset for training.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset.download_dataset">
|
||
<code class="descname">download_dataset</code><span class="sig-paren">(</span><em>dataset_dir</em>, <em>dataset_url</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset.download_dataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset.download_dataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Downloads and extracts dataset.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>dataset_dir</strong> (<em>str</em>) – dataset directory.</li>
|
||
<li><strong>dataset_url</strong> (<em>str</em>) – url to download dataset.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset.get_num_cams">
|
||
<code class="descname">get_num_cams</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset.get_num_cams"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset.get_num_cams" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Returns the number of training cameras.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset.get_num_pids">
|
||
<code class="descname">get_num_pids</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset.get_num_pids"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset.get_num_pids" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Returns the number of training person identities.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset.parse_data">
|
||
<code class="descname">parse_data</code><span class="sig-paren">(</span><em>data</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset.parse_data"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset.parse_data" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Parses data list and returns the number of person IDs
|
||
and the number of camera views.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>data</strong> (<em>list</em>) – contains tuples of (img_path(s), pid, camid)</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</dd></dl>
|
||
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.Dataset.show_summary">
|
||
<code class="descname">show_summary</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#Dataset.show_summary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.Dataset.show_summary" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Shows dataset statistics.</p>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="class">
|
||
<dt id="torchreid.data.datasets.dataset.ImageDataset">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.dataset.</code><code class="descname">ImageDataset</code><span class="sig-paren">(</span><em>train</em>, <em>query</em>, <em>gallery</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#ImageDataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.ImageDataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>A base class representing ImageDataset.</p>
|
||
<p>All other image datasets should subclass it.</p>
|
||
<p><code class="docutils literal notranslate"><span class="pre">__getitem__</span></code> returns an image given index.
|
||
It will return <code class="docutils literal notranslate"><span class="pre">img</span></code>, <code class="docutils literal notranslate"><span class="pre">pid</span></code>, <code class="docutils literal notranslate"><span class="pre">camid</span></code> and <code class="docutils literal notranslate"><span class="pre">img_path</span></code>
|
||
where <code class="docutils literal notranslate"><span class="pre">img</span></code> has shape (channel, height, width). As a result,
|
||
data in each batch has shape (batch_size, channel, height, width).</p>
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.ImageDataset.show_summary">
|
||
<code class="descname">show_summary</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#ImageDataset.show_summary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.ImageDataset.show_summary" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Shows dataset statistics.</p>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="class">
|
||
<dt id="torchreid.data.datasets.dataset.VideoDataset">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.dataset.</code><code class="descname">VideoDataset</code><span class="sig-paren">(</span><em>train</em>, <em>query</em>, <em>gallery</em>, <em>seq_len=15</em>, <em>sample_method='evenly'</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#VideoDataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.VideoDataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>A base class representing VideoDataset.</p>
|
||
<p>All other video datasets should subclass it.</p>
|
||
<p><code class="docutils literal notranslate"><span class="pre">__getitem__</span></code> returns an image given index.
|
||
It will return <code class="docutils literal notranslate"><span class="pre">imgs</span></code>, <code class="docutils literal notranslate"><span class="pre">pid</span></code> and <code class="docutils literal notranslate"><span class="pre">camid</span></code>
|
||
where <code class="docutils literal notranslate"><span class="pre">imgs</span></code> has shape (seq_len, channel, height, width). As a result,
|
||
data in each batch has shape (batch_size, seq_len, channel, height, width).</p>
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.dataset.VideoDataset.show_summary">
|
||
<code class="descname">show_summary</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/dataset.html#VideoDataset.show_summary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.dataset.VideoDataset.show_summary" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Shows dataset statistics.</p>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.__init__"></span><dl class="function">
|
||
<dt id="torchreid.data.datasets.__init__.init_image_dataset">
|
||
<code class="descclassname">torchreid.data.datasets.__init__.</code><code class="descname">init_image_dataset</code><span class="sig-paren">(</span><em>name</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/__init__.html#init_image_dataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.__init__.init_image_dataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Initializes an image dataset.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="function">
|
||
<dt id="torchreid.data.datasets.__init__.init_video_dataset">
|
||
<code class="descclassname">torchreid.data.datasets.__init__.</code><code class="descname">init_video_dataset</code><span class="sig-paren">(</span><em>name</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/__init__.html#init_video_dataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.__init__.init_video_dataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Initializes a video dataset.</p>
|
||
</dd></dl>
|
||
|
||
<dl class="function">
|
||
<dt id="torchreid.data.datasets.__init__.register_image_dataset">
|
||
<code class="descclassname">torchreid.data.datasets.__init__.</code><code class="descname">register_image_dataset</code><span class="sig-paren">(</span><em>name</em>, <em>dataset_</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/__init__.html#register_image_dataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.__init__.register_image_dataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Registers a new image dataset.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>name</strong> (<em>str</em>) – key corresponding to the new dataset.</li>
|
||
<li><strong>dataset</strong> (<a class="reference internal" href="#torchreid.data.datasets.dataset.Dataset" title="torchreid.data.datasets.dataset.Dataset"><em>Dataset</em></a>) – the new dataset class.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>Examples:</p>
|
||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">torchreid</span>
|
||
<span class="kn">import</span> <span class="nn">NewDataset</span>
|
||
<span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">register_image_dataset</span><span class="p">(</span><span class="s1">'new_dataset'</span><span class="p">,</span> <span class="n">NewDataset</span><span class="p">)</span>
|
||
<span class="c1"># single dataset case</span>
|
||
<span class="n">datamanager</span> <span class="o">=</span> <span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">ImageDataManager</span><span class="p">(</span>
|
||
<span class="n">root</span><span class="o">=</span><span class="s1">'reid-data'</span><span class="p">,</span>
|
||
<span class="n">sources</span><span class="o">=</span><span class="s1">'new_dataset'</span>
|
||
<span class="p">)</span>
|
||
<span class="c1"># multiple dataset case</span>
|
||
<span class="n">datamanager</span> <span class="o">=</span> <span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">ImageDataManager</span><span class="p">(</span>
|
||
<span class="n">root</span><span class="o">=</span><span class="s1">'reid-data'</span><span class="p">,</span>
|
||
<span class="n">sources</span><span class="o">=</span><span class="p">[</span><span class="s1">'new_dataset'</span><span class="p">,</span> <span class="s1">'dukemtmcreid'</span><span class="p">]</span>
|
||
<span class="p">)</span>
|
||
</pre></div>
|
||
</div>
|
||
</dd></dl>
|
||
|
||
<dl class="function">
|
||
<dt id="torchreid.data.datasets.__init__.register_video_dataset">
|
||
<code class="descclassname">torchreid.data.datasets.__init__.</code><code class="descname">register_video_dataset</code><span class="sig-paren">(</span><em>name</em>, <em>dataset_</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/__init__.html#register_video_dataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.__init__.register_video_dataset" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Registers a new video dataset.</p>
|
||
<table class="docutils field-list" frame="void" rules="none">
|
||
<col class="field-name" />
|
||
<col class="field-body" />
|
||
<tbody valign="top">
|
||
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
|
||
<li><strong>name</strong> (<em>str</em>) – key corresponding to the new dataset.</li>
|
||
<li><strong>dataset</strong> (<a class="reference internal" href="#torchreid.data.datasets.dataset.Dataset" title="torchreid.data.datasets.dataset.Dataset"><em>Dataset</em></a>) – the new dataset class.</li>
|
||
</ul>
|
||
</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>Examples:</p>
|
||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">torchreid</span>
|
||
<span class="kn">import</span> <span class="nn">NewDataset</span>
|
||
<span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">register_video_dataset</span><span class="p">(</span><span class="s1">'new_dataset'</span><span class="p">,</span> <span class="n">NewDataset</span><span class="p">)</span>
|
||
<span class="c1"># single dataset case</span>
|
||
<span class="n">datamanager</span> <span class="o">=</span> <span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">VideoDataManager</span><span class="p">(</span>
|
||
<span class="n">root</span><span class="o">=</span><span class="s1">'reid-data'</span><span class="p">,</span>
|
||
<span class="n">sources</span><span class="o">=</span><span class="s1">'new_dataset'</span>
|
||
<span class="p">)</span>
|
||
<span class="c1"># multiple dataset case</span>
|
||
<span class="n">datamanager</span> <span class="o">=</span> <span class="n">torchreid</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">VideoDataManager</span><span class="p">(</span>
|
||
<span class="n">root</span><span class="o">=</span><span class="s1">'reid-data'</span><span class="p">,</span>
|
||
<span class="n">sources</span><span class="o">=</span><span class="p">[</span><span class="s1">'new_dataset'</span><span class="p">,</span> <span class="s1">'ilidsvid'</span><span class="p">]</span>
|
||
<span class="p">)</span>
|
||
</pre></div>
|
||
</div>
|
||
</dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-torchreid.data.datasets.image.market1501">
|
||
<span id="image-datasets"></span><h2>Image Datasets<a class="headerlink" href="#module-torchreid.data.datasets.image.market1501" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="class">
|
||
<dt id="torchreid.data.datasets.image.market1501.Market1501">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.market1501.</code><code class="descname">Market1501</code><span class="sig-paren">(</span><em>root=''</em>, <em>market1501_500k=False</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/market1501.html#Market1501"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.market1501.Market1501" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Market1501.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Zheng et al. Scalable Person Re-identification: A Benchmark. ICCV 2015.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="http://www.liangzheng.org/Project/project_reid.html">http://www.liangzheng.org/Project/project_reid.html</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 1501 (+1 for background).</li>
|
||
<li>images: 12936 (train) + 3368 (query) + 15913 (gallery).</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.cuhk03"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.cuhk03.CUHK03">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.cuhk03.</code><code class="descname">CUHK03</code><span class="sig-paren">(</span><em>root=''</em>, <em>split_id=0</em>, <em>cuhk03_labeled=False</em>, <em>cuhk03_classic_split=False</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/cuhk03.html#CUHK03"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.cuhk03.CUHK03" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>CUHK03.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Li et al. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification. CVPR 2014.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html#!">http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html#!</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 1360.</li>
|
||
<li>images: 13164.</li>
|
||
<li>cameras: 6.</li>
|
||
<li>splits: 20 (classic).</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.dukemtmcreid"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.dukemtmcreid.DukeMTMCreID">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.dukemtmcreid.</code><code class="descname">DukeMTMCreID</code><span class="sig-paren">(</span><em>root=''</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/dukemtmcreid.html#DukeMTMCreID"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.dukemtmcreid.DukeMTMCreID" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>DukeMTMC-reID.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>Ristani et al. Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking. ECCVW 2016.</li>
|
||
<li>Zheng et al. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro. ICCV 2017.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="https://github.com/layumi/DukeMTMC-reID_evaluation">https://github.com/layumi/DukeMTMC-reID_evaluation</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 1404 (train + query).</li>
|
||
<li>images:16522 (train) + 2228 (query) + 17661 (gallery).</li>
|
||
<li>cameras: 8.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.msmt17"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.msmt17.MSMT17">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.msmt17.</code><code class="descname">MSMT17</code><span class="sig-paren">(</span><em>root=''</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/msmt17.html#MSMT17"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.msmt17.MSMT17" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>MSMT17.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Wei et al. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification. CVPR 2018.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="http://www.pkuvmc.com/publications/msmt17.html">http://www.pkuvmc.com/publications/msmt17.html</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 4101.</li>
|
||
<li>images: 32621 (train) + 11659 (query) + 82161 (gallery).</li>
|
||
<li>cameras: 15.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.viper"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.viper.VIPeR">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.viper.</code><code class="descname">VIPeR</code><span class="sig-paren">(</span><em>root=''</em>, <em>split_id=0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/viper.html#VIPeR"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.viper.VIPeR" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>VIPeR.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Gray et al. Evaluating appearance models for recognition, reacquisition, and tracking. PETS 2007.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="https://vision.soe.ucsc.edu/node/178">https://vision.soe.ucsc.edu/node/178</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 632.</li>
|
||
<li>images: 632 x 2 = 1264.</li>
|
||
<li>cameras: 2.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.grid"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.grid.GRID">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.grid.</code><code class="descname">GRID</code><span class="sig-paren">(</span><em>root=''</em>, <em>split_id=0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/grid.html#GRID"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.grid.GRID" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>GRID.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Loy et al. Multi-camera activity correlation analysis. CVPR 2009.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="http://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_underground_reid.html">http://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_underground_reid.html</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 250.</li>
|
||
<li>images: 1275.</li>
|
||
<li>cameras: 8.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.cuhk01"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.cuhk01.CUHK01">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.cuhk01.</code><code class="descname">CUHK01</code><span class="sig-paren">(</span><em>root=''</em>, <em>split_id=0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/cuhk01.html#CUHK01"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.cuhk01.CUHK01" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>CUHK01.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Li et al. Human Reidentification with Transferred Metric Learning. ACCV 2012.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html">http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 971.</li>
|
||
<li>images: 3884.</li>
|
||
<li>cameras: 4.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.image.cuhk01.CUHK01.prepare_split">
|
||
<code class="descname">prepare_split</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/cuhk01.html#CUHK01.prepare_split"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.cuhk01.CUHK01.prepare_split" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Image name format: 0001001.png, where first four digits represent identity
|
||
and last four digits represent cameras. Camera 1&2 are considered the same
|
||
view and camera 3&4 are considered the same view.</p>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.ilids"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.ilids.iLIDS">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.ilids.</code><code class="descname">iLIDS</code><span class="sig-paren">(</span><em>root=''</em>, <em>split_id=0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/ilids.html#iLIDS"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.ilids.iLIDS" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>QMUL-iLIDS.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Zheng et al. Associating Groups of People. BMVC 2009.</dd>
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 119.</li>
|
||
<li>images: 476.</li>
|
||
<li>cameras: 8 (not explicitly provided).</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.sensereid"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.sensereid.SenseReID">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.sensereid.</code><code class="descname">SenseReID</code><span class="sig-paren">(</span><em>root=''</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/sensereid.html#SenseReID"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.sensereid.SenseReID" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>SenseReID.</p>
|
||
<p>This dataset is used for test purpose only.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Zhao et al. Spindle Net: Person Re-identification with Human Body
|
||
Region Guided Feature Decomposition and Fusion. CVPR 2017.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="https://drive.google.com/file/d/0B56OfSrVI8hubVJLTzkwV2VaOWM/view">https://drive.google.com/file/d/0B56OfSrVI8hubVJLTzkwV2VaOWM/view</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>query: 522 ids, 1040 images.</li>
|
||
<li>gallery: 1717 ids, 3388 images.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.image.prid"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.image.prid.PRID">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.image.prid.</code><code class="descname">PRID</code><span class="sig-paren">(</span><em>single-shot version of prid-2011</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/image/prid.html#PRID"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.image.prid.PRID" title="Permalink to this definition">¶</a></dt>
|
||
<dd><dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Hirzer et al. Person Re-Identification by Descriptive and Discriminative
|
||
Classification. SCIA 2011.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/PRID11/">https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/PRID11/</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>Two views.</li>
|
||
<li>View A captures 385 identities.</li>
|
||
<li>View B captures 749 identities.</li>
|
||
<li>200 identities appear in both views.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</div>
|
||
<div class="section" id="module-torchreid.data.datasets.video.mars">
|
||
<span id="video-datasets"></span><h2>Video Datasets<a class="headerlink" href="#module-torchreid.data.datasets.video.mars" title="Permalink to this headline">¶</a></h2>
|
||
<dl class="class">
|
||
<dt id="torchreid.data.datasets.video.mars.Mars">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.video.mars.</code><code class="descname">Mars</code><span class="sig-paren">(</span><em>root=''</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/video/mars.html#Mars"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.video.mars.Mars" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>MARS.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Zheng et al. MARS: A Video Benchmark for Large-Scale Person Re-identification. ECCV 2016.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="http://www.liangzheng.com.cn/Project/project_mars.html">http://www.liangzheng.com.cn/Project/project_mars.html</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 1261.</li>
|
||
<li>tracklets: 8298 (train) + 1980 (query) + 9330 (gallery).</li>
|
||
<li>cameras: 6.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="method">
|
||
<dt id="torchreid.data.datasets.video.mars.Mars.combine_all">
|
||
<code class="descname">combine_all</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/video/mars.html#Mars.combine_all"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.video.mars.Mars.combine_all" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>Combines train, query and gallery in a dataset for training.</p>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.video.ilidsvid"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.video.ilidsvid.iLIDSVID">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.video.ilidsvid.</code><code class="descname">iLIDSVID</code><span class="sig-paren">(</span><em>root=''</em>, <em>split_id=0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/video/ilidsvid.html#iLIDSVID"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.video.ilidsvid.iLIDSVID" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>iLIDS-VID.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Wang et al. Person Re-Identification by Video Ranking. ECCV 2014.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="http://www.eecs.qmul.ac.uk/~xiatian/downloads_qmul_iLIDS-VID_ReID_dataset.html">http://www.eecs.qmul.ac.uk/~xiatian/downloads_qmul_iLIDS-VID_ReID_dataset.html</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 300.</li>
|
||
<li>tracklets: 600.</li>
|
||
<li>cameras: 2.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.video.prid2011"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.video.prid2011.PRID2011">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.video.prid2011.</code><code class="descname">PRID2011</code><span class="sig-paren">(</span><em>root=''</em>, <em>split_id=0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/video/prid2011.html#PRID2011"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.video.prid2011.PRID2011" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>PRID2011.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd>Hirzer et al. Person Re-Identification by Descriptive and
|
||
Discriminative Classification. SCIA 2011.</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/PRID11/">https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/PRID11/</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 200.</li>
|
||
<li>tracklets: 400.</li>
|
||
<li>cameras: 2.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<span class="target" id="module-torchreid.data.datasets.video.dukemtmcvidreid"></span><dl class="class">
|
||
<dt id="torchreid.data.datasets.video.dukemtmcvidreid.DukeMTMCVidReID">
|
||
<em class="property">class </em><code class="descclassname">torchreid.data.datasets.video.dukemtmcvidreid.</code><code class="descname">DukeMTMCVidReID</code><span class="sig-paren">(</span><em>root=''</em>, <em>min_seq_len=0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchreid/data/datasets/video/dukemtmcvidreid.html#DukeMTMCVidReID"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torchreid.data.datasets.video.dukemtmcvidreid.DukeMTMCVidReID" title="Permalink to this definition">¶</a></dt>
|
||
<dd><p>DukeMTMCVidReID.</p>
|
||
<dl class="docutils">
|
||
<dt>Reference:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>Ristani et al. Performance Measures and a Data Set for Multi-Target,
|
||
Multi-Camera Tracking. ECCVW 2016.</li>
|
||
<li>Wu et al. Exploit the Unknown Gradually: One-Shot Video-Based Person
|
||
Re-Identification by Stepwise Learning. CVPR 2018.</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<p>URL: <a class="reference external" href="https://github.com/Yu-Wu/DukeMTMC-VideoReID">https://github.com/Yu-Wu/DukeMTMC-VideoReID</a></p>
|
||
<dl class="docutils">
|
||
<dt>Dataset statistics:</dt>
|
||
<dd><ul class="first last simple">
|
||
<li>identities: 702 (train) + 702 (test).</li>
|
||
<li>tracklets: 2196 (train) + 2636 (test).</li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
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|
||
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|
||
|
||
|
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