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KaiyangZhou 2019-05-06 10:48:46 +01:00
parent 8ff67bca64
commit f32c97cc4b
4 changed files with 19 additions and 4 deletions
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4
_modules/torchreid/data/sampler.html
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@ -186,6 +186,10 @@
<span class="sd"> num_instances (int): number of instances per identity in a batch.</span>
<span class="sd"> &quot;&quot;&quot;</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>
<span class="k">if</span> <span class="n">batch_size</span> <span class="o">&lt;</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">&#39;batch_size=</span><span class="si">{}</span><span class="s1"> must be no less &#39;</span>
<span class="s1">&#39;than num_instances=</span><span class="si">{}</span><span class="s1">&#39;</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>
<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>

2
_modules/torchreid/engine/video/triplet.html
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@ -237,7 +237,7 @@
<span class="sd"> save_dir=&#39;log/resnet50-triplet-mars&#39;,</span>
<span class="sd"> print_freq=10</span>
<span class="sd"> )</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="sd"> &quot;&quot;&quot;</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">datamanager</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">margin</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span>
<span class="n">weight_t</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">weight_x</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">use_cpu</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>

15
index.html
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@ -188,7 +188,10 @@
<p>Documentation: <a class="reference external" href="https://kaiyangzhou.github.io/deep-person-reid/">https://kaiyangzhou.github.io/deep-person-reid/</a>.</p>
<div class="section" id="news">
<h2>News<a class="headerlink" href="#news" title="Permalink to this headline"></a></h2>
<p>24-03-2019: <a class="reference external" href="https://kaiyangzhou.github.io/deep-person-reid/">Torchreid documentation</a> is out!</p>
<ul class="simple">
<li>06-05-2019: We released a tech report on <a class="reference external" href="https://arxiv.org/abs/1905.00953">arxiv</a>. Code and models will be released.</li>
<li>24-03-2019: <a class="reference external" href="https://kaiyangzhou.github.io/deep-person-reid/">Torchreid documentation</a> is out!</li>
</ul>
</div>
<div class="section" id="installation">
<h2>Installation<a class="headerlink" href="#installation" title="Permalink to this headline"></a></h2>
@ -414,7 +417,15 @@ $ <span class="c1"># python setup.py develop</span>
</div>
<div class="section" id="citation">
<h2>Citation<a class="headerlink" href="#citation" title="Permalink to this headline"></a></h2>
<p>If you find this code useful to your research, please link this repository in your paper.</p>
<p>If you find this code useful to your research, please cite the following publication.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>@article<span class="o">{</span>zhou2019osnet,
<span class="nv">title</span><span class="o">={</span>Omni-Scale Feature Learning <span class="k">for</span> Person Re-Identification<span class="o">}</span>,
<span class="nv">author</span><span class="o">={</span>Kaiyang Zhou and Yongxin Yang and Andrea Cavallaro and Tao Xiang<span class="o">}</span>,
<span class="nv">journal</span><span class="o">={</span>arXiv preprint arXiv:1905.00953<span class="o">}</span>,
<span class="nv">year</span><span class="o">={</span><span class="m">2019</span><span class="o">}</span>
<span class="o">}</span>
</pre></div>
</div>
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searchindex.js
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