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<h1>Source code for torchreid.data.datasets.image.viper</h1><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">division</span><span class="p">,</span> <span class="n">print_function</span><span class="p">,</span> <span class="n">absolute_import</span>
<span class="kn">import</span> <span class="nn">glob</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">os.path</span> <span class="k">as</span> <span class="nn">osp</span>
<span class="kn">from</span> <span class="nn">torchreid.utils</span> <span class="kn">import</span> <span class="n">read_json</span><span class="p">,</span> <span class="n">write_json</span>
<span class="kn">from</span> <span class="nn">..dataset</span> <span class="kn">import</span> <span class="n">ImageDataset</span>
<div class="viewcode-block" id="VIPeR"><a class="viewcode-back" href="../../../../../pkg/data.html#torchreid.data.datasets.image.viper.VIPeR">[docs]</a><span class="k">class</span> <span class="nc">VIPeR</span><span class="p">(</span><span class="n">ImageDataset</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;VIPeR.</span>
<span class="sd"> Reference:</span>
<span class="sd"> Gray et al. Evaluating appearance models for recognition, reacquisition, and tracking. PETS 2007.</span>
<span class="sd"> URL: `&lt;https://vision.soe.ucsc.edu/node/178&gt;`_</span>
<span class="sd"> </span>
<span class="sd"> Dataset statistics:</span>
<span class="sd"> - identities: 632.</span>
<span class="sd"> - images: 632 x 2 = 1264.</span>
<span class="sd"> - cameras: 2.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">dataset_dir</span> <span class="o">=</span> <span class="s1">&#39;viper&#39;</span>
<span class="n">dataset_url</span> <span class="o">=</span> <span class="s1">&#39;http://users.soe.ucsc.edu/~manduchi/VIPeR.v1.0.zip&#39;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">split_id</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">root</span> <span class="o">=</span> <span class="n">osp</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="n">osp</span><span class="o">.</span><span class="n">expanduser</span><span class="p">(</span><span class="n">root</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span> <span class="o">=</span> <span class="n">osp</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">root</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">download_dataset</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataset_url</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">cam_a_dir</span> <span class="o">=</span> <span class="n">osp</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">,</span> <span class="s1">&#39;VIPeR&#39;</span><span class="p">,</span> <span class="s1">&#39;cam_a&#39;</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">cam_b_dir</span> <span class="o">=</span> <span class="n">osp</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">,</span> <span class="s1">&#39;VIPeR&#39;</span><span class="p">,</span> <span class="s1">&#39;cam_b&#39;</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">split_path</span> <span class="o">=</span> <span class="n">osp</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">,</span> <span class="s1">&#39;splits.json&#39;</span><span class="p">)</span>
<span class="n">required_files</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">cam_a_dir</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">cam_b_dir</span><span class="p">]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">check_before_run</span><span class="p">(</span><span class="n">required_files</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prepare_split</span><span class="p">()</span>
<span class="n">splits</span> <span class="o">=</span> <span class="n">read_json</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">split_path</span><span class="p">)</span>
<span class="k">if</span> <span class="n">split_id</span> <span class="o">&gt;=</span> <span class="nb">len</span><span class="p">(</span><span class="n">splits</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
<span class="s1">&#39;split_id exceeds range, received </span><span class="si">{}</span><span class="s1">, &#39;</span>
<span class="s1">&#39;but expected between 0 and </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">split_id</span><span class="p">,</span>
<span class="nb">len</span><span class="p">(</span><span class="n">splits</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
<span class="p">)</span>
<span class="p">)</span>
<span class="n">split</span> <span class="o">=</span> <span class="n">splits</span><span class="p">[</span><span class="n">split_id</span><span class="p">]</span>
<span class="n">train</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">]</span>
<span class="n">query</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="s1">&#39;query&#39;</span><span class="p">]</span> <span class="c1"># query and gallery share the same images</span>
<span class="n">gallery</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="s1">&#39;gallery&#39;</span><span class="p">]</span>
<span class="n">train</span> <span class="o">=</span> <span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">item</span><span class="p">)</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">train</span><span class="p">]</span>
<span class="n">query</span> <span class="o">=</span> <span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">item</span><span class="p">)</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">query</span><span class="p">]</span>
<span class="n">gallery</span> <span class="o">=</span> <span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">item</span><span class="p">)</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">gallery</span><span class="p">]</span>
<span class="nb">super</span><span class="p">(</span><span class="n">VIPeR</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">train</span><span class="p">,</span> <span class="n">query</span><span class="p">,</span> <span class="n">gallery</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">prepare_split</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">osp</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">split_path</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Creating 10 random splits of train ids and test ids&#39;</span><span class="p">)</span>
<span class="n">cam_a_imgs</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="n">osp</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">cam_a_dir</span><span class="p">,</span> <span class="s1">&#39;*.bmp&#39;</span><span class="p">)))</span>
<span class="n">cam_b_imgs</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="n">osp</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">cam_b_dir</span><span class="p">,</span> <span class="s1">&#39;*.bmp&#39;</span><span class="p">)))</span>
<span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">cam_a_imgs</span><span class="p">)</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">cam_b_imgs</span><span class="p">)</span>
<span class="n">num_pids</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">cam_a_imgs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Number of identities: </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">num_pids</span><span class="p">))</span>
<span class="n">num_train_pids</span> <span class="o">=</span> <span class="n">num_pids</span> <span class="o">//</span> <span class="mi">2</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> In total, there will be 20 splits because each random split creates two</span>
<span class="sd"> sub-splits, one using cameraA as query and cameraB as gallery</span>
<span class="sd"> while the other using cameraB as query and cameraA as gallery.</span>
<span class="sd"> Therefore, results should be averaged over 20 splits (split_id=0~19).</span>
<span class="sd"> </span>
<span class="sd"> In practice, a model trained on split_id=0 can be applied to split_id=0&amp;1</span>
<span class="sd"> as split_id=0&amp;1 share the same training data (so on and so forth).</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">splits</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">):</span>
<span class="n">order</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">num_pids</span><span class="p">)</span>
<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">order</span><span class="p">)</span>
<span class="n">train_idxs</span> <span class="o">=</span> <span class="n">order</span><span class="p">[:</span><span class="n">num_train_pids</span><span class="p">]</span>
<span class="n">test_idxs</span> <span class="o">=</span> <span class="n">order</span><span class="p">[</span><span class="n">num_train_pids</span><span class="p">:]</span>
<span class="k">assert</span> <span class="ow">not</span> <span class="nb">bool</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">train_idxs</span><span class="p">)</span> <span class="o">&amp;</span> <span class="nb">set</span><span class="p">(</span><span class="n">test_idxs</span><span class="p">)),</span> \
<span class="s1">&#39;Error: train and test overlap&#39;</span>
<span class="n">train</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">pid</span><span class="p">,</span> <span class="n">idx</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">train_idxs</span><span class="p">):</span>
<span class="n">cam_a_img</span> <span class="o">=</span> <span class="n">cam_a_imgs</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span>
<span class="n">cam_b_img</span> <span class="o">=</span> <span class="n">cam_b_imgs</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span>
<span class="n">train</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">cam_a_img</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
<span class="n">train</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">cam_b_img</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="n">test_a</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">test_b</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">pid</span><span class="p">,</span> <span class="n">idx</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">test_idxs</span><span class="p">):</span>
<span class="n">cam_a_img</span> <span class="o">=</span> <span class="n">cam_a_imgs</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span>
<span class="n">cam_b_img</span> <span class="o">=</span> <span class="n">cam_b_imgs</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span>
<span class="n">test_a</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">cam_a_img</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
<span class="n">test_b</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">cam_b_img</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="c1"># use cameraA as query and cameraB as gallery</span>
<span class="n">split</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">&#39;train&#39;</span><span class="p">:</span> <span class="n">train</span><span class="p">,</span>
<span class="s1">&#39;query&#39;</span><span class="p">:</span> <span class="n">test_a</span><span class="p">,</span>
<span class="s1">&#39;gallery&#39;</span><span class="p">:</span> <span class="n">test_b</span><span class="p">,</span>
<span class="s1">&#39;num_train_pids&#39;</span><span class="p">:</span> <span class="n">num_train_pids</span><span class="p">,</span>
<span class="s1">&#39;num_query_pids&#39;</span><span class="p">:</span> <span class="n">num_pids</span> <span class="o">-</span> <span class="n">num_train_pids</span><span class="p">,</span>
<span class="s1">&#39;num_gallery_pids&#39;</span><span class="p">:</span> <span class="n">num_pids</span> <span class="o">-</span> <span class="n">num_train_pids</span>
<span class="p">}</span>
<span class="n">splits</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split</span><span class="p">)</span>
<span class="c1"># use cameraB as query and cameraA as gallery</span>
<span class="n">split</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">&#39;train&#39;</span><span class="p">:</span> <span class="n">train</span><span class="p">,</span>
<span class="s1">&#39;query&#39;</span><span class="p">:</span> <span class="n">test_b</span><span class="p">,</span>
<span class="s1">&#39;gallery&#39;</span><span class="p">:</span> <span class="n">test_a</span><span class="p">,</span>
<span class="s1">&#39;num_train_pids&#39;</span><span class="p">:</span> <span class="n">num_train_pids</span><span class="p">,</span>
<span class="s1">&#39;num_query_pids&#39;</span><span class="p">:</span> <span class="n">num_pids</span> <span class="o">-</span> <span class="n">num_train_pids</span><span class="p">,</span>
<span class="s1">&#39;num_gallery_pids&#39;</span><span class="p">:</span> <span class="n">num_pids</span> <span class="o">-</span> <span class="n">num_train_pids</span>
<span class="p">}</span>
<span class="n">splits</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Totally </span><span class="si">{}</span><span class="s1"> splits are created&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">splits</span><span class="p">)))</span>
<span class="n">write_json</span><span class="p">(</span><span class="n">splits</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">split_path</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Split file saved to </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="bp">self</span><span class="o">.</span><span class="n">split_path</span><span class="p">))</span></div>
</pre></div>
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