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<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
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<h1>Source code for torchreid.data.datasets.image.cuhk01</h1><div class="highlight"><pre>
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<span></span><span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">absolute_import</span>
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<span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">print_function</span>
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<span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">division</span>
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<span class="kn">import</span> <span class="nn">sys</span>
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<span class="kn">import</span> <span class="nn">os</span>
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<span class="kn">import</span> <span class="nn">os.path</span> <span class="k">as</span> <span class="nn">osp</span>
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<span class="kn">import</span> <span class="nn">glob</span>
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<span class="kn">import</span> <span class="nn">zipfile</span>
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<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<span class="kn">from</span> <span class="nn">torchreid.data.datasets</span> <span class="k">import</span> <span class="n">ImageDataset</span>
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<span class="kn">from</span> <span class="nn">torchreid.utils</span> <span class="k">import</span> <span class="n">read_json</span><span class="p">,</span> <span class="n">write_json</span>
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<div class="viewcode-block" id="CUHK01"><a class="viewcode-back" href="../../../../../pkg/data.html#torchreid.data.datasets.image.cuhk01.CUHK01">[docs]</a><span class="k">class</span> <span class="nc">CUHK01</span><span class="p">(</span><span class="n">ImageDataset</span><span class="p">):</span>
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<span class="sd">"""CUHK01.</span>
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<span class="sd"> Reference:</span>
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<span class="sd"> Li et al. Human Reidentification with Transferred Metric Learning. ACCV 2012.</span>
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<span class="sd"> URL: `<http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html>`_</span>
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<span class="sd"> </span>
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<span class="sd"> Dataset statistics:</span>
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<span class="sd"> - identities: 971.</span>
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<span class="sd"> - images: 3884.</span>
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<span class="sd"> - cameras: 4.</span>
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<span class="sd"> """</span>
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<span class="n">dataset_dir</span> <span class="o">=</span> <span class="s1">'cuhk01'</span>
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<span class="n">dataset_url</span> <span class="o">=</span> <span class="kc">None</span>
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<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">root</span><span class="o">=</span><span class="s1">''</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>
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<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>
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<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>
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<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>
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<span class="bp">self</span><span class="o">.</span><span class="n">zip_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">'CUHK01.zip'</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">campus_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">'campus'</span><span class="p">)</span>
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<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">'splits.json'</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">extract_file</span><span class="p">()</span>
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<span class="n">required_files</span> <span class="o">=</span> <span class="p">[</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">,</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">campus_dir</span>
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<span class="p">]</span>
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<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>
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<span class="bp">self</span><span class="o">.</span><span class="n">prepare_split</span><span class="p">()</span>
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<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>
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<span class="k">if</span> <span class="n">split_id</span> <span class="o">>=</span> <span class="nb">len</span><span class="p">(</span><span class="n">splits</span><span class="p">):</span>
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<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'split_id exceeds range, received </span><span class="si">{}</span><span class="s1">, but expected between 0 and </span><span class="si">{}</span><span class="s1">'</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>
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<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>
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<span class="n">train</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="s1">'train'</span><span class="p">]</span>
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<span class="n">query</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="s1">'query'</span><span class="p">]</span>
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<span class="n">gallery</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="s1">'gallery'</span><span class="p">]</span>
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<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>
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<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>
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<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>
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<span class="nb">super</span><span class="p">(</span><span class="n">CUHK01</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>
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<span class="k">def</span> <span class="nf">extract_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<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">campus_dir</span><span class="p">):</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Extracting files'</span><span class="p">)</span>
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<span class="n">zip_ref</span> <span class="o">=</span> <span class="n">zipfile</span><span class="o">.</span><span class="n">ZipFile</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">zip_path</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">)</span>
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<span class="n">zip_ref</span><span class="o">.</span><span class="n">extractall</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataset_dir</span><span class="p">)</span>
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<span class="n">zip_ref</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
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<div class="viewcode-block" id="CUHK01.prepare_split"><a class="viewcode-back" href="../../../../../pkg/data.html#torchreid.data.datasets.image.cuhk01.CUHK01.prepare_split">[docs]</a> <span class="k">def</span> <span class="nf">prepare_split</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="sd">"""</span>
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<span class="sd"> Image name format: 0001001.png, where first four digits represent identity</span>
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<span class="sd"> and last four digits represent cameras. Camera 1&2 are considered the same</span>
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<span class="sd"> view and camera 3&4 are considered the same view.</span>
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<span class="sd"> """</span>
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<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>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Creating 10 random splits of train ids and test ids'</span><span class="p">)</span>
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<span class="n">img_paths</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">campus_dir</span><span class="p">,</span> <span class="s1">'*.png'</span><span class="p">)))</span>
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<span class="n">img_list</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="n">pid_container</span> <span class="o">=</span> <span class="nb">set</span><span class="p">()</span>
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<span class="k">for</span> <span class="n">img_path</span> <span class="ow">in</span> <span class="n">img_paths</span><span class="p">:</span>
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<span class="n">img_name</span> <span class="o">=</span> <span class="n">osp</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span>
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<span class="n">pid</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">img_name</span><span class="p">[:</span><span class="mi">4</span><span class="p">])</span> <span class="o">-</span> <span class="mi">1</span>
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<span class="n">camid</span> <span class="o">=</span> <span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">img_name</span><span class="p">[</span><span class="mi">4</span><span class="p">:</span><span class="mi">7</span><span class="p">])</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span> <span class="c1"># result is either 0 or 1</span>
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<span class="n">img_list</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">img_path</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="n">camid</span><span class="p">))</span>
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<span class="n">pid_container</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">pid</span><span class="p">)</span>
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<span class="n">num_pids</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">pid_container</span><span class="p">)</span>
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<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>
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<span class="n">splits</span> <span class="o">=</span> <span class="p">[]</span>
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<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>
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<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>
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<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>
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<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>
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<span class="n">train_idxs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">train_idxs</span><span class="p">)</span>
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<span class="n">idx2label</span> <span class="o">=</span> <span class="p">{</span><span class="n">idx</span><span class="p">:</span> <span class="n">label</span> <span class="k">for</span> <span class="n">label</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>
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<span class="n">train</span><span class="p">,</span> <span class="n">test_a</span><span class="p">,</span> <span class="n">test_b</span> <span class="o">=</span> <span class="p">[],</span> <span class="p">[],</span> <span class="p">[]</span>
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<span class="k">for</span> <span class="n">img_path</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="n">camid</span> <span class="ow">in</span> <span class="n">img_list</span><span class="p">:</span>
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<span class="k">if</span> <span class="n">pid</span> <span class="ow">in</span> <span class="n">train_idxs</span><span class="p">:</span>
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<span class="n">train</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">img_path</span><span class="p">,</span> <span class="n">idx2label</span><span class="p">[</span><span class="n">pid</span><span class="p">],</span> <span class="n">camid</span><span class="p">))</span>
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<span class="k">else</span><span class="p">:</span>
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<span class="k">if</span> <span class="n">camid</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
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<span class="n">test_a</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">img_path</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="n">camid</span><span class="p">))</span>
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<span class="k">else</span><span class="p">:</span>
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<span class="n">test_b</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">img_path</span><span class="p">,</span> <span class="n">pid</span><span class="p">,</span> <span class="n">camid</span><span class="p">))</span>
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<span class="c1"># use cameraA as query and cameraB as gallery</span>
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<span class="n">split</span> <span class="o">=</span> <span class="p">{</span>
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<span class="s1">'train'</span><span class="p">:</span> <span class="n">train</span><span class="p">,</span>
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<span class="s1">'query'</span><span class="p">:</span> <span class="n">test_a</span><span class="p">,</span>
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<span class="s1">'gallery'</span><span class="p">:</span> <span class="n">test_b</span><span class="p">,</span>
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<span class="s1">'num_train_pids'</span><span class="p">:</span> <span class="n">num_train_pids</span><span class="p">,</span>
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<span class="s1">'num_query_pids'</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>
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<span class="s1">'num_gallery_pids'</span><span class="p">:</span> <span class="n">num_pids</span> <span class="o">-</span> <span class="n">num_train_pids</span>
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<span class="p">}</span>
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<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>
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<span class="c1"># use cameraB as query and cameraA as gallery</span>
|
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<span class="n">split</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="s1">'train'</span><span class="p">:</span> <span class="n">train</span><span class="p">,</span>
|
|
<span class="s1">'query'</span><span class="p">:</span> <span class="n">test_b</span><span class="p">,</span>
|
|
<span class="s1">'gallery'</span><span class="p">:</span> <span class="n">test_a</span><span class="p">,</span>
|
|
<span class="s1">'num_train_pids'</span><span class="p">:</span> <span class="n">num_train_pids</span><span class="p">,</span>
|
|
<span class="s1">'num_query_pids'</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">'num_gallery_pids'</span><span class="p">:</span> <span class="n">num_pids</span> <span class="o">-</span> <span class="n">num_train_pids</span>
|
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<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>
|
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Totally </span><span class="si">{}</span><span class="s1"> splits are created'</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>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Split file saved to </span><span class="si">{}</span><span class="s1">'</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></div>
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</pre></div>
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