add cvpr19 link and fix typo in datamanager.py

AWESOME_REID.html

@@ -195,6 +195,7 @@
 <div class="section" id="cvpr-2019">
 <h3>CVPR 2019<a class="headerlink" href="#cvpr-2019" title="Permalink to this headline">¶</a></h3>
 <ul class="simple">
+<li>Joint Discriminative and Generative Learning for Person Re-identification. [<a class="reference external" href="https://arxiv.org/abs/1904.07223">paper</a>][<a class="reference external" href="https://github.com/NVlabs/DG-Net">code</a>]</li>
 <li>Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [<a class="reference external" href="https://arxiv.org/abs/1904.01990">paper</a>][<a class="reference external" href="https://github.com/zhunzhong07/ECN">code</a>]</li>
 <li>Dissecting Person Re-identification from the Viewpoint of Viewpoint. [<a class="reference external" href="https://arxiv.org/abs/1812.02162">paper</a>][<a class="reference external" href="https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint">code</a>]</li>
 <li>Unsupervised Person Re-identification by Soft Multilabel Learning. [<a class="reference external" href="https://arxiv.org/abs/1903.06325">paper</a>][<a class="reference external" href="https://github.com/KovenYu/MAR">code</a>]</li>

_modules/torchreid/data/datamanager.html

@@ -435,7 +435,7 @@
                  <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">&#39;evenly&#39;</span><span class="p">):</span>
         
         <span class="nb">super</span><span class="p">(</span><span class="n">VideoDataManager</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">sources</span><span class="o">=</span><span class="n">sources</span><span class="p">,</span> <span class="n">targets</span><span class="o">=</span><span class="n">targets</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="o">=</span><span class="n">width</span><span class="p">,</span>
-                                               <span class="n">transforms</span><span class="o">=</span><span class="n">transforms</span><span class="p">,</span> <span class="n">se_cpu</span><span class="o">=</span><span class="n">use_cpu</span><span class="p">)</span>
+                                               <span class="n">transforms</span><span class="o">=</span><span class="n">transforms</span><span class="p">,</span> <span class="n">use_cpu</span><span class="o">=</span><span class="n">use_cpu</span><span class="p">)</span>
 
         <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;=&gt; Loading train (source) dataset&#39;</span><span class="p">)</span>
         <span class="n">trainset</span> <span class="o">=</span> <span class="p">[]</span>  

_sources/AWESOME_REID.md.txt

@@ -10,6 +10,7 @@ Here is a collection of ReID-related research with links to papers and code. You
 - **[ArXiv](#arxiv)**
 
 ### CVPR 2019
+- Joint Discriminative and Generative Learning for Person Re-identification. [[paper](https://arxiv.org/abs/1904.07223)][[code](https://github.com/NVlabs/DG-Net)]
 - Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [[paper](https://arxiv.org/abs/1904.01990)][[code](https://github.com/zhunzhong07/ECN)]
 - Dissecting Person Re-identification from the Viewpoint of Viewpoint. [[paper](https://arxiv.org/abs/1812.02162)][[code](https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint)]
 - Unsupervised Person Re-identification by Soft Multilabel Learning. [[paper](https://arxiv.org/abs/1903.06325)][[code](https://github.com/KovenYu/MAR)]