#609 Ci fix

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  <h1>Source code for super_gradients.training.datasets.detection_datasets.coco_detection</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">cv2</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">pycocotools.coco</span> <span class="kn">import</span> <span class="n">COCO</span>
<span class="kn">from</span> <span class="nn">super_gradients.common.abstractions.abstract_logger</span> <span class="kn">import</span> <span class="n">get_logger</span>
<span class="kn">from</span> <span class="nn">super_gradients.training.datasets.detection_datasets.detection_dataset</span> <span class="kn">import</span> <span class="n">DetectionDataset</span>
<span class="kn">from</span> <span class="nn">super_gradients.training.utils.detection_utils</span> <span class="kn">import</span> <span class="n">DetectionTargetsFormat</span>
<span class="kn">from</span> <span class="nn">super_gradients.training.datasets.datasets_conf</span> <span class="kn">import</span> <span class="n">COCO_DETECTION_CLASSES_LIST</span>
<span class="n">logger</span> <span class="o">=</span> <span class="n">get_logger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
<div class="viewcode-block" id="COCODetectionDataset"><a class="viewcode-back" href="../../../../../super_gradients.training.html#super_gradients.training.datasets.COCODetectionDataset">[docs]</a><span class="k">class</span> <span class="nc">COCODetectionDataset</span><span class="p">(</span><span class="n">DetectionDataset</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Dataset for COCO object detection.&quot;&quot;&quot;</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">json_file</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;instances_train2017.json&quot;</span><span class="p">,</span>
        <span class="n">subdir</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;images/train2017&quot;</span><span class="p">,</span>
        <span class="n">tight_box_rotation</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
        <span class="n">with_crowd</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
        <span class="o">*</span><span class="n">args</span><span class="p">,</span>
        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
    <span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        :param json_file:           Name of the coco json file, that resides in data_dir/annotations/json_file.</span>
<span class="sd">        :param subdir:              Sub directory of data_dir containing the data.</span>
<span class="sd">        :param tight_box_rotation:  bool, whether to use of segmentation maps convex hull as target_seg</span>
<span class="sd">                                    (check get_sample docs).</span>
<span class="sd">        :param with_crowd: Add the crowd groundtruths to __getitem__</span>
<span class="sd">        kwargs:</span>
<span class="sd">            all_classes_list: all classes list, default is COCO_DETECTION_CLASSES_LIST.</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">subdir</span> <span class="o">=</span> <span class="n">subdir</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">json_file</span> <span class="o">=</span> <span class="n">json_file</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">tight_box_rotation</span> <span class="o">=</span> <span class="n">tight_box_rotation</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">with_crowd</span> <span class="o">=</span> <span class="n">with_crowd</span>
        <span class="n">target_fields</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;target&quot;</span><span class="p">,</span> <span class="s2">&quot;crowd_target&quot;</span><span class="p">]</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">with_crowd</span> <span class="k">else</span> <span class="p">[</span><span class="s2">&quot;target&quot;</span><span class="p">]</span>
        <span class="n">kwargs</span><span class="p">[</span><span class="s2">&quot;target_fields&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">target_fields</span>
        <span class="n">kwargs</span><span class="p">[</span><span class="s2">&quot;output_fields&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;image&quot;</span><span class="p">,</span> <span class="o">*</span><span class="n">target_fields</span><span class="p">]</span>
        <span class="n">kwargs</span><span class="p">[</span><span class="s2">&quot;original_target_format&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">DetectionTargetsFormat</span><span class="o">.</span><span class="n">XYXY_LABEL</span>
        <span class="n">kwargs</span><span class="p">[</span><span class="s2">&quot;all_classes_list&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;all_classes_list&quot;</span><span class="p">)</span> <span class="ow">or</span> <span class="n">COCO_DETECTION_CLASSES_LIST</span>
        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</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">_setup_data_source</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span>
        <span class="sd">&quot;&quot;&quot;Initialize img_and_target_path_list and warn if label file is missing</span>
<span class="sd">        :return: List of tuples made of (img_path,target_path)</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">coco</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_init_coco</span><span class="p">()</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">class_ids</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coco</span><span class="o">.</span><span class="n">getCatIds</span><span class="p">())</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">classes</span> <span class="o">=</span> <span class="nb">list</span><span class="p">([</span><span class="n">category</span><span class="p">[</span><span class="s2">&quot;name&quot;</span><span class="p">]</span> <span class="k">for</span> <span class="n">category</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">coco</span><span class="o">.</span><span class="n">loadCats</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">class_ids</span><span class="p">)])</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">sample_id_to_coco_id</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">coco</span><span class="o">.</span><span class="n">getImgIds</span><span class="p">()</span>
        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sample_id_to_coco_id</span><span class="p">)</span>
    <span class="k">def</span> <span class="nf">_init_coco</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">COCO</span><span class="p">:</span>
        <span class="n">annotation_file_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</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">data_dir</span><span class="p">,</span> <span class="s2">&quot;annotations&quot;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">json_file</span><span class="p">)</span>
        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">annotation_file_path</span><span class="p">):</span>
            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Could not find annotation file under &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">annotation_file_path</span><span class="p">))</span>
        <span class="n">coco</span> <span class="o">=</span> <span class="n">COCO</span><span class="p">(</span><span class="n">annotation_file_path</span><span class="p">)</span>
        <span class="n">remove_useless_info</span><span class="p">(</span><span class="n">coco</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">tight_box_rotation</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">coco</span>
    <span class="k">def</span> <span class="nf">_load_annotation</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sample_id</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">dict</span><span class="p">:</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Load relevant information of a specific image.</span>
<span class="sd">        :param sample_id:               Sample_id in the dataset</span>
<span class="sd">        :return target:                 Target Bboxes (detection) in XYXY_LABEL format</span>
<span class="sd">        :return crowd_target:           Crowd target Bboxes (detection) in XYXY_LABEL format</span>
<span class="sd">        :return target_segmentation:    Segmentation</span>
<span class="sd">        :return initial_img_shape:      Image (height, width)</span>
<span class="sd">        :return resized_img_shape:      Resides image (height, width)</span>
<span class="sd">        :return img_path:               Path to the associated image</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="n">img_id</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_id_to_coco_id</span><span class="p">[</span><span class="n">sample_id</span><span class="p">]</span>
        <span class="n">img_metadata</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">coco</span><span class="o">.</span><span class="n">loadImgs</span><span class="p">(</span><span class="n">img_id</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
        <span class="n">width</span> <span class="o">=</span> <span class="n">img_metadata</span><span class="p">[</span><span class="s2">&quot;width&quot;</span><span class="p">]</span>
        <span class="n">height</span> <span class="o">=</span> <span class="n">img_metadata</span><span class="p">[</span><span class="s2">&quot;height&quot;</span><span class="p">]</span>
        <span class="n">img_annotation_ids</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">coco</span><span class="o">.</span><span class="n">getAnnIds</span><span class="p">(</span><span class="n">imgIds</span><span class="o">=</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">img_id</span><span class="p">)])</span>
        <span class="n">img_annotations</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">coco</span><span class="o">.</span><span class="n">loadAnns</span><span class="p">(</span><span class="n">img_annotation_ids</span><span class="p">)</span>
        <span class="n">cleaned_annotations</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="k">for</span> <span class="n">annotation</span> <span class="ow">in</span> <span class="n">img_annotations</span><span class="p">:</span>
            <span class="n">x1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;bbox&quot;</span><span class="p">][</span><span class="mi">0</span><span class="p">]))</span>
            <span class="n">y1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;bbox&quot;</span><span class="p">][</span><span class="mi">1</span><span class="p">]))</span>
            <span class="n">x2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">((</span><span class="n">width</span><span class="p">,</span> <span class="n">x1</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;bbox&quot;</span><span class="p">][</span><span class="mi">2</span><span class="p">]))))</span>
            <span class="n">y2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">((</span><span class="n">height</span><span class="p">,</span> <span class="n">y1</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;bbox&quot;</span><span class="p">][</span><span class="mi">3</span><span class="p">]))))</span>
            <span class="k">if</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;area&quot;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">0</span> <span class="ow">and</span> <span class="n">x2</span> <span class="o">&gt;=</span> <span class="n">x1</span> <span class="ow">and</span> <span class="n">y2</span> <span class="o">&gt;=</span> <span class="n">y1</span><span class="p">:</span>
                <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;clean_bbox&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">x1</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">y2</span><span class="p">]</span>
                <span class="n">cleaned_annotations</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">annotation</span><span class="p">)</span>
        <span class="n">non_crowd_annotations</span> <span class="o">=</span> <span class="p">[</span><span class="n">annotation</span> <span class="k">for</span> <span class="n">annotation</span> <span class="ow">in</span> <span class="n">cleaned_annotations</span> <span class="k">if</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;iscrowd&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span>
        <span class="n">target</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">non_crowd_annotations</span><span class="p">),</span> <span class="mi">5</span><span class="p">))</span>
        <span class="n">num_seg_values</span> <span class="o">=</span> <span class="mi">98</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tight_box_rotation</span> <span class="k">else</span> <span class="mi">0</span>
        <span class="n">target_segmentation</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">non_crowd_annotations</span><span class="p">),</span> <span class="n">num_seg_values</span><span class="p">))</span>
        <span class="n">target_segmentation</span><span class="o">.</span><span class="n">fill</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
        <span class="k">for</span> <span class="n">ix</span><span class="p">,</span> <span class="n">annotation</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">non_crowd_annotations</span><span class="p">):</span>
            <span class="bp">cls</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">class_ids</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;category_id&quot;</span><span class="p">])</span>
            <span class="n">target</span><span class="p">[</span><span class="n">ix</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">4</span><span class="p">]</span> <span class="o">=</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;clean_bbox&quot;</span><span class="p">]</span>
            <span class="n">target</span><span class="p">[</span><span class="n">ix</span><span class="p">,</span> <span class="mi">4</span><span class="p">]</span> <span class="o">=</span> <span class="bp">cls</span>
            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tight_box_rotation</span><span class="p">:</span>
                <span class="n">seg_points</span> <span class="o">=</span> <span class="p">[</span><span class="n">j</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">annotation</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;segmentation&quot;</span><span class="p">,</span> <span class="p">[])</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">i</span><span class="p">]</span>
                <span class="k">if</span> <span class="n">seg_points</span><span class="p">:</span>
                    <span class="n">seg_points_c</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">seg_points</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">int</span><span class="p">)</span>
                    <span class="n">seg_points_convex</span> <span class="o">=</span> <span class="n">cv2</span><span class="o">.</span><span class="n">convexHull</span><span class="p">(</span><span class="n">seg_points_c</span><span class="p">)</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>
                <span class="k">else</span><span class="p">:</span>
                    <span class="n">seg_points_convex</span> <span class="o">=</span> <span class="p">[]</span>
                <span class="n">target_segmentation</span><span class="p">[</span><span class="n">ix</span><span class="p">,</span> <span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">seg_points_convex</span><span class="p">)]</span> <span class="o">=</span> <span class="n">seg_points_convex</span>
        <span class="n">crowd_annotations</span> <span class="o">=</span> <span class="p">[</span><span class="n">annotation</span> <span class="k">for</span> <span class="n">annotation</span> <span class="ow">in</span> <span class="n">cleaned_annotations</span> <span class="k">if</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;iscrowd&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span>
        <span class="n">crowd_target</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">crowd_annotations</span><span class="p">),</span> <span class="mi">5</span><span class="p">))</span>
        <span class="k">for</span> <span class="n">ix</span><span class="p">,</span> <span class="n">annotation</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">crowd_annotations</span><span class="p">):</span>
            <span class="bp">cls</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">class_ids</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;category_id&quot;</span><span class="p">])</span>
            <span class="n">crowd_target</span><span class="p">[</span><span class="n">ix</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">4</span><span class="p">]</span> <span class="o">=</span> <span class="n">annotation</span><span class="p">[</span><span class="s2">&quot;clean_bbox&quot;</span><span class="p">]</span>
            <span class="n">crowd_target</span><span class="p">[</span><span class="n">ix</span><span class="p">,</span> <span class="mi">4</span><span class="p">]</span> <span class="o">=</span> <span class="bp">cls</span>
        <span class="n">r</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_dim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="n">height</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_dim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">/</span> <span class="n">width</span><span class="p">)</span>
        <span class="n">target</span><span class="p">[:,</span> <span class="p">:</span><span class="mi">4</span><span class="p">]</span> <span class="o">*=</span> <span class="n">r</span>
        <span class="n">crowd_target</span><span class="p">[:,</span> <span class="p">:</span><span class="mi">4</span><span class="p">]</span> <span class="o">*=</span> <span class="n">r</span>
        <span class="n">target_segmentation</span> <span class="o">*=</span> <span class="n">r</span>
        <span class="n">initial_img_shape</span> <span class="o">=</span> <span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">)</span>
        <span class="n">resized_img_shape</span> <span class="o">=</span> <span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">height</span> <span class="o">*</span> <span class="n">r</span><span class="p">),</span> <span class="nb">int</span><span class="p">(</span><span class="n">width</span> <span class="o">*</span> <span class="n">r</span><span class="p">))</span>
        <span class="n">file_name</span> <span class="o">=</span> <span class="n">img_metadata</span><span class="p">[</span><span class="s2">&quot;file_name&quot;</span><span class="p">]</span> <span class="k">if</span> <span class="s2">&quot;file_name&quot;</span> <span class="ow">in</span> <span class="n">img_metadata</span> <span class="k">else</span> <span class="s2">&quot;</span><span class="si">{:012}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">img_id</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;.jpg&quot;</span>
        <span class="n">img_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</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">data_dir</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">subdir</span><span class="p">,</span> <span class="n">file_name</span><span class="p">)</span>
        <span class="n">img_id</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_id_to_coco_id</span><span class="p">[</span><span class="n">sample_id</span><span class="p">]</span>
        <span class="n">annotation</span> <span class="o">=</span> <span class="p">{</span>
            <span class="s2">&quot;target&quot;</span><span class="p">:</span> <span class="n">target</span><span class="p">,</span>
            <span class="s2">&quot;crowd_target&quot;</span><span class="p">:</span> <span class="n">crowd_target</span><span class="p">,</span>
            <span class="s2">&quot;target_segmentation&quot;</span><span class="p">:</span> <span class="n">target_segmentation</span><span class="p">,</span>
            <span class="s2">&quot;initial_img_shape&quot;</span><span class="p">:</span> <span class="n">initial_img_shape</span><span class="p">,</span>
            <span class="s2">&quot;resized_img_shape&quot;</span><span class="p">:</span> <span class="n">resized_img_shape</span><span class="p">,</span>
            <span class="s2">&quot;img_path&quot;</span><span class="p">:</span> <span class="n">img_path</span><span class="p">,</span>
            <span class="s2">&quot;id&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">img_id</span><span class="p">]),</span>
        <span class="p">}</span>
        <span class="k">return</span> <span class="n">annotation</span></div>
<span class="k">def</span> <span class="nf">remove_useless_info</span><span class="p">(</span><span class="n">coco</span><span class="p">,</span> <span class="n">use_seg_info</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    Remove useless info in coco dataset. COCO object is modified inplace.</span>
<span class="sd">    This function is mainly used for saving memory (save about 30% mem).</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">coco</span><span class="p">,</span> <span class="n">COCO</span><span class="p">):</span>
        <span class="n">dataset</span> <span class="o">=</span> <span class="n">coco</span><span class="o">.</span><span class="n">dataset</span>
        <span class="n">dataset</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">&quot;info&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
        <span class="n">dataset</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">&quot;licenses&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
        <span class="k">for</span> <span class="n">img</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">[</span><span class="s2">&quot;images&quot;</span><span class="p">]:</span>
            <span class="n">img</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">&quot;license&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
            <span class="n">img</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">&quot;coco_url&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
            <span class="n">img</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">&quot;date_captured&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
            <span class="n">img</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">&quot;flickr_url&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
        <span class="k">if</span> <span class="s2">&quot;annotations&quot;</span> <span class="ow">in</span> <span class="n">coco</span><span class="o">.</span><span class="n">dataset</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">use_seg_info</span><span class="p">:</span>
            <span class="k">for</span> <span class="n">anno</span> <span class="ow">in</span> <span class="n">coco</span><span class="o">.</span><span class="n">dataset</span><span class="p">[</span><span class="s2">&quot;annotations&quot;</span><span class="p">]:</span>
                <span class="n">anno</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">&quot;segmentation&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
</pre></div>
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#609 Ci fix

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