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<li class="toctree-l1"><a class="reference internal" href="AWESOME_REID.html">Awesome-ReID</a></li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">Model Zoo</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#imagenet-pretrained-models">ImageNet pretrained models</a></li>
<li class="toctree-l2"><a class="reference internal" href="#same-domain-reid">Same-domain ReID</a></li>
<li class="toctree-l2"><a class="reference internal" href="#cross-domain-reid">Cross-domain ReID</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#market1501-dukemtmc-reid">Market1501 -&gt; DukeMTMC-reID</a></li>
<li class="toctree-l3"><a class="reference internal" href="#dukemtmc-reid-market1501">DukeMTMC-reID -&gt; Market1501</a></li>
<li class="toctree-l3"><a class="reference internal" href="#msmt17-market1501-dukemtmc-reid-cuhk03">MSMT17 -&gt; Market1501, DukeMTMC-reID &amp; CUHK03</a></li>
<li class="toctree-l3"><a class="reference internal" href="#msmt17-combineall-true-market1501-dukemtmc-reid-cuhk03">MSMT17 (<code class="docutils literal notranslate"><span class="pre">combineall=True</span></code>) -&gt; Market1501, DukeMTMC-reID &amp; CUHK03</a></li>
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<div class="section" id="model-zoo">
<h1>Model Zoo<a class="headerlink" href="#model-zoo" title="Permalink to this headline"></a></h1>
<p>In general,</p>
<ul class="simple">
<li>results are presented in the format of <em>&lt;Rank-1 (mAP)&gt;</em>, unless specified otherwise.</li>
<li>when computing model size and FLOPs, only layers that are used at test time are considered (see <code class="docutils literal notranslate"><span class="pre">torchreid.utils.compute_model_complexity</span></code>).</li>
<li>asterisk (*) means the model is trained from scratch.</li>
<li><code class="docutils literal notranslate"><span class="pre">combineall=True</span></code> means all images in the dataset are used for model training.</li>
<li>for the cuhk03 dataset, we use the 767/700 split by <a class="reference external" href="https://arxiv.org/abs/1701.08398">Zhong et al. CVPR’17</a>.</li>
<li><a class="reference external" href="https://arxiv.org/abs/1512.00567">label smoothing regularizer</a> is used in the softmax loss.</li>
</ul>
<div class="section" id="imagenet-pretrained-models">
<h2>ImageNet pretrained models<a class="headerlink" href="#imagenet-pretrained-models" title="Permalink to this headline"></a></h2>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">shufflenet</td>
<td align="center"><a href="https://mega.nz/#!RDpUlQCY!tr_5xBEkelzDjveIYBBcGcovNCOrgfiJO9kiidz9fZM">model</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_0</td>
<td align="center"><a href="https://mega.nz/#!NKp2wAIA!1NH1pbNzY_M2hVk_hdsxNM1NUOWvvGPHhaNr-fASF6c">model</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_4</td>
<td align="center"><a href="https://mega.nz/#!RGhgEIwS!xN2s2ZdyqI6vQ3EwgmRXLEW3khr9tpXg96G9SUJugGk">model</a></td>
</tr>
<tr>
<td align="left">mlfn</td>
<td align="center"><a href="https://mega.nz/#!YHxAhaxC!yu9E6zWl0x5zscSouTdbZu8gdFFytDdl-RAdD2DEfpk">model</a></td>
</tr>
<tr>
<td align="left">osnet_x1_0</td>
<td align="center"><a href="https://mega.nz/#!YK5GRARL!F90NsNB2XHjXGZFC3Lrw1GMic0oMw4fnfuDUnSrPAYM">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_75</td>
<td align="center"><a href="https://mega.nz/#!NPxilYBA!Se414Wtts__7eY6J5FIrowynvjUUG7a8Z5zUPfJN33s">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_5</td>
<td align="center"><a href="https://mega.nz/#!NO4ihQSJ!oMIRSZ0HlJF_8FKUbXT8Ei0vzH0xUYs5tWaf_KLrODg">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_25</td>
<td align="center"><a href="https://mega.nz/#!IDwQwaxT!TbQ_33gPK-ZchPFTf43UMc45rlNKWiWMqH4rTXB1T7k">model</a></td>
</tr>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center"><a href="https://mega.nz/#!8Wo2kSDR!bNvgu4V0VkCQp_L2ZUDaudYKYRCkkSNdzcA1CcZGZTE">model</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="same-domain-reid">
<h2>Same-domain ReID<a class="headerlink" href="#same-domain-reid" title="Permalink to this headline"></a></h2>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">market1501</th>
<th align="center">dukemtmcreid</th>
<th align="center">msmt17</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">resnet50</td>
<td align="center">23.5</td>
<td align="center">2.7</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!FKZjVKaZ!4v_FR8pTvuHoMQIKdstJ_YCsRrtZW2hwWxc-T0JIlHE">87.9 (70.4)</a></td>
<td align="center"><a href="https://mega.nz/#!JPZjCYhK!YVJbE_4vTc8DX19Rt_FB77YY4BaEA1P6Xb5sNJGep2M">78.3 (58.9)</a></td>
<td align="center"><a href="https://mega.nz/#!APAxDY4Z!Iou9x8s3ATdYS2SlK2oiJbHrhvlzH7F1gE2qjM-GJGw">63.2 (33.9)</a></td>
</tr>
<tr>
<td align="left">resnet50_fc512</td>
<td align="center">24.6</td>
<td align="center">4.1</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!EaZjhKyS!lBvD3vAJ4DOmElZkNa7gyPM1RE661GUd2v9kK84gSZE">90.8 (75.3)</a></td>
<td align="center"><a href="https://mega.nz/#!lXYDSKZa!lumiXkY2H5Sm8gEgTWPBdWKv3ujy4zjrffjERaXkc9I">81.0 (64.0)</a></td>
<td align="center"><a href="https://mega.nz/#!9PQTXIpL!iI5wgieTCn0Jm-pyg9RCu0RkH43pV3ntHhr1PeqSyT4">69.6 (38.4)</a></td>
</tr>
<tr>
<td align="left">mlfn</td>
<td align="center">32.5</td>
<td align="center">2.8</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!kHQ3ESLT!NoGc8eHEBZOJZM19THh3DFfRBXIPXzM-sdLmF1mvTXA">90.1 (74.3)</a></td>
<td align="center"><a href="https://mega.nz/#!8PQXUCaI!mJO1vD9tI739hkNBj2QWUt0VPcZ-s89fSMMGPPP1msc">81.1 (63.2)</a></td>
<td align="center"><a href="https://mega.nz/#!paIXFQCS!W3ZGkxyF1idwvQzTRDE2p0DhNDki2SBJRfp7S_Cwphk">66.4 (37.2)</a></td>
</tr>
<tr>
<td align="left">hacnn<sup>*</sup></td>
<td align="center">4.5</td>
<td align="center">0.5</td>
<td align="center">softmax</td>
<td align="center">(160, 64)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!ULQXUQBK!S-8v_pR2xBD3ZpuY0I7Bqift-eX_V84gajHMDG6zUac">90.9 (75.6)</a></td>
<td align="center"><a href="https://mega.nz/#!wPJTkAQR!XkKd39lsmBZMrCh3JjF6vnNafBZkouVIVdeBqQKdSzA">80.1 (63.2)</a></td>
<td align="center"><a href="https://mega.nz/#!AXAziKjL!JtMwHz2UYy58gDMQLGakSmF3JOr72o8zmkqlQA-LIpQ">64.7 (37.2)</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.2</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!8KYTFAIB!3dL35WQLxSoTSClDTv0kxa81k3fh5hXmAWA4_a3qiOI">85.6 (67.3)</a></td>
<td align="center"><a href="https://mega.nz/#!hbRXDSCL!YYgqJ6PVUf4clgtUuK2s5FRhYJdU3yTibLscwOTNnDk">74.2 (54.7)</a></td>
<td align="center"><a href="https://mega.nz/#!5SJTmCYb!ZQ8O2MN9JF4-WDAeX04Xex1KyuBYQ_o2aoMIsTgQ748">57.4 (29.3)</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_4</td>
<td align="center">4.3</td>
<td align="center">0.4</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!4XZhEKCS!6lTuTRbHIWU5nzJzTPDGykA7sPME8_1ISGsUYFJXZWA">87.0 (68.5)</a></td>
<td align="center"><a href="https://mega.nz/#!JbQVDIYQ!-7pnjIfpIDt1EoQOvpvuIEcTj3Qg8SE6o_3ZPGWrIcw">76.2 (55.8)</a></td>
<td align="center"><a href="https://mega.nz/#!gOYDAQrK!sMJO7c_X4iIxoVfV_tXYdzeDJByPo5XkUjEN7Z2JTmM">60.1 (31.5)</a></td>
</tr>
<tr>
<td align="left">osnet_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!hLoyTSba!fqt7GcKrHJhwe9BtuK0ozgVAQcrlMG8Pm6JsSfr5HEI">94.2 (82.6)</a></td>
<td align="center"><a href="https://mega.nz/#!ETwGhQYB!h2gHN-H3J4X4WqcJXy2b0pPKl28paydkiS-PDHsEgPM">87.0 (70.2)</a></td>
<td align="center"><a href="https://mega.nz/#!hWxE2aJA!NGcxu5uYH1qI6DfBTu0KFoi_NfoA0TJcBFW-g43pC0I">74.9 (43.8)</a></td>
</tr>
<tr>
<td align="left">osnet_x0_75</td>
<td align="center">1.3</td>
<td align="center">0.57</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!JO4WAaJa!nQuoqZnYfy0xu7vs2mp28AFceya-ZhrXTry837jvoDQ">93.7 (81.2)</a></td>
<td align="center"><a href="https://mega.nz/#!lOgkEIoI!fQ5vuYIABIOcRxF-OK-6YxtEufWhyVkYkGB4qPoRYJ4">85.8 (69.8)</a></td>
<td align="center"><a href="https://mega.nz/#!0exGXI5a!rxtzBayyRK0on0HFq9XO0UtWEBhbV86dFitljhjeWcs">72.8 (41.4)</a></td>
</tr>
<tr>
<td align="left">osnet_x0_5</td>
<td align="center">0.6</td>
<td align="center">0.27</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!QCx0RArD!hqz3Mh0Iif5d8PpQW0frxa-Tepn2a2g24aei7du4MFs">92.5 (79.8)</a></td>
<td align="center"><a href="https://mega.nz/#!QTxCDIbT!eOZxj4dHl0uFnjKEB-J3YBY98blXZvppgWGA3CGa-tk">85.1 (67.4)</a></td>
<td align="center"><a href="https://mega.nz/#!ETpiECDa!CCkq4JryztHqgw7spL5zDw0usJpAfEsSd5gPlkMufCc">69.7 (37.5)</a></td>
</tr>
<tr>
<td align="left">osnet_x0_25</td>
<td align="center">0.2</td>
<td align="center">0.08</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://mega.nz/#!VWxCgSqY!Q4WaQ3j9D7HMhK3jsbvMuwaZ7yBY80T2Zj5V8JAlAKU">91.2 (75.0)</a></td>
<td align="center"><a href="https://mega.nz/#!5TpwnATK!UvU_Asdy_aJ9SNzuvqhEFoemxSSB8vm_Gm8Xe03jqiA">82.0 (61.4)</a></td>
<td align="center"><a href="https://mega.nz/#!AWgE3SzD!DngUaNyA7VIqOd2gq10Aty_-ER0CmG0xTJLHLj6_36g">61.4 (29.5)</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="cross-domain-reid">
<h2>Cross-domain ReID<a class="headerlink" href="#cross-domain-reid" title="Permalink to this headline"></a></h2>
<div class="section" id="market1501-dukemtmc-reid">
<h3>Market1501 -&gt; DukeMTMC-reID<a class="headerlink" href="#market1501-dukemtmc-reid" title="Permalink to this headline"></a></h3>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">Rank-1</th>
<th align="center">Rank-5</th>
<th align="center">Rank-10</th>
<th align="center">Rank-20</th>
<th align="center">mAP</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">48.5</td>
<td align="center">62.3</td>
<td align="center">67.4</td>
<td align="center">72.2</td>
<td align="center">26.7</td>
<td align="center"><a href="https://mega.nz/#!wXwGxKxK!f8EMk8hBt6AjxU3JIPGMFSMvX7j-Nt5Lp1Gpbqso1Ts">model</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="dukemtmc-reid-market1501">
<h3>DukeMTMC-reID -&gt; Market1501<a class="headerlink" href="#dukemtmc-reid-market1501" title="Permalink to this headline"></a></h3>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">Rank-1</th>
<th align="center">Rank-5</th>
<th align="center">Rank-10</th>
<th align="center">Rank-20</th>
<th align="center">mAP</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">57.7</td>
<td align="center">73.7</td>
<td align="center">80.0</td>
<td align="center">84.8</td>
<td align="center">26.1</td>
<td align="center"><a href="https://mega.nz/#!FD4WEKJS!ZGgI-2IwVuX6re09xylChR03o6Dkjpi6KSebrbS0fAA">model</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="msmt17-market1501-dukemtmc-reid-cuhk03">
<h3>MSMT17 -&gt; Market1501, DukeMTMC-reID &amp; CUHK03<a class="headerlink" href="#msmt17-market1501-dukemtmc-reid-cuhk03" title="Permalink to this headline"></a></h3>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">msmt17 -&gt; market1501</th>
<th align="center">msmt17 -&gt; dukemtmcreid</th>
<th align="center">msmt17 -&gt; cuhk03</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">60.2 (29.9)</td>
<td align="center">59.9 (37.4)</td>
<td align="center">15.1 (14.1)</td>
<td align="center"><a href="https://mega.nz/#!0HgmGSwY!RoUlNAOA92epmFetZYPeyl2xOrEkUkEgcKRyluOXchM">model</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="msmt17-combineall-true-market1501-dukemtmc-reid-cuhk03">
<h3>MSMT17 (<code class="docutils literal notranslate"><span class="pre">combineall=True</span></code>) -&gt; Market1501, DukeMTMC-reID &amp; CUHK03<a class="headerlink" href="#msmt17-combineall-true-market1501-dukemtmc-reid-cuhk03" title="Permalink to this headline"></a></h3>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">msmt17 -&gt; market1501</th>
<th align="center">msmt17 -&gt; dukemtmcreid</th>
<th align="center">msmt17 -&gt; cuhk03</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">resnet50</td>
<td align="center">23.5</td>
<td align="center">2.7</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">46.3 (22.8)</td>
<td align="center">52.3 (32.1)</td>
<td align="center">11.7 (13.1)</td>
<td align="center"><a href="https://mega.nz/#!VTpkWSbS!Y8gDnmg7u-sPwnZDhWXrtZNYOj7UYL4QzZkhDf1qWW4">model</a></td>
</tr>
<tr>
<td align="left">osnet_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">66.6 (37.5)</td>
<td align="center">66.0 (45.3)</td>
<td align="center">21.0 (19.9)</td>
<td align="center"><a href="https://mega.nz/#!MepG3QRC!Lb-C9d7rdS_YJjGSoJ5cRlzjYcP28P_1Cm5S5WSslW0">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_75</td>
<td align="center">1.3</td>
<td align="center">0.57</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">63.6 (35.5)</td>
<td align="center">65.3 (44.5)</td>
<td align="center">20.0 (19.4)</td>
<td align="center"><a href="https://mega.nz/#!tO4WDagL!8Tl6kdJWRXRHQb16GeUHR008tJqW3N7_3fyVMu-LcKM">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_5</td>
<td align="center">0.6</td>
<td align="center">0.27</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">64.3 (34.9)</td>
<td align="center">65.2 (43.3)</td>
<td align="center">19.6 (19.2)</td>
<td align="center"><a href="https://mega.nz/#!papSWQhY!IId-QfcHj7nXQ_muUubgv9_n0SsnZzarmb5mQgcMv74">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_25</td>
<td align="center">0.2</td>
<td align="center">0.08</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">59.9 (31.0)</td>
<td align="center">61.5 (39.6)</td>
<td align="center">14.5 (14.5)</td>
<td align="center"><a href="https://mega.nz/#!QCoE0Kpa!BITLANumgjiR68TUFteL__N_RIoDKkL0M5Bl3Q8LC3U">model</a></td>
</tr>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">66.5 (37.2)</td>
<td align="center">67.4 (45.6)</td>
<td align="center">22.0 (20.8)</td>
<td align="center"><a href="https://mega.nz/#!dL4Q2K5B!ZdHQ_X_rs2T-xmggigM5YvzJhmT1orkr6aQ1_fHgunM">model</a></td>
</tr>
</tbody>
</table></div>
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