@@ -3,10 +3,11 @@
 
                             <head>
                
 
                               <meta charset="utf-8" />
                
 
                               <meta name="viewport" content="width=device-width, initial-scale=1.0" />
                
 
                            -  <title>Index &mdash; SuperGradients 1.0 documentation</title>
                
 
                            +  <title>Index &mdash; SuperGradients 3.0.3 documentation</title>
                
 
                                   <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
                
 
                                   <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
                
 
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@@ -14,7 +15,9 @@
 
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                                     <script src="_static/jquery.js"></script>
                
 
                                     <script src="_static/underscore.js"></script>
                
 
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                                 <script src="_static/js/theme.js"></script>
                
 
                                 <link rel="index" title="Index" href="#" />
                
 
                                 <link rel="search" title="Search" href="search.html" /> 
                
@@ -35,30 +38,29 @@
 
                               </form>
                
 
                             </div>
                
 
                                     </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
                
 
                            -              <p class="caption"><span class="caption-text">Welcome To SuperGradients</span></p>
                
 
                            +              <p class="caption" role="heading"><span class="caption-text">Welcome To SuperGradients</span></p>
                
 
                             <ul>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="welcome.html">Fill our 4-question quick survey! We will raffle free SuperGradients swag between those who will participate -&gt; Fill Survey</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="welcome.html#supergradients">SuperGradients</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html">Version 3 is out! Notebooks have been updated!</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#build-with-supergradients">Build with SuperGradients</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#quick-installation">Quick Installation</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#what-s-new">What’s New</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#coming-soon">Coming soon</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#table-of-content">Table of Content</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#getting-started">Getting Started</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#advanced-features">Advanced Features</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#installation-methods">Installation Methods</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#implemented-model-architectures">Implemented Model Architectures</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#documentation">Documentation</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#contributing">Contributing</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#citation">Citation</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#community">Community</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#license">License</a></li>
                
 
                            +<li class="toctree-l1"><a class="reference internal" href="welcome.html#deci-platform">Deci Platform</a></li>
                
 
                             </ul>
                
 
                            -<p class="caption"><span class="caption-text">Technical Documentation</span></p>
                
 
                            +<p class="caption" role="heading"><span class="caption-text">Technical Documentation</span></p>
                
 
                             <ul>
                
 
                             <li class="toctree-l1"><a class="reference internal" href="super_gradients.common.html">Common package</a></li>
                
 
                             <li class="toctree-l1"><a class="reference internal" href="super_gradients.training.html">Training package</a></li>
                
 
                            -</ul>
                
 
                            -<p class="caption"><span class="caption-text">User Guide</span></p>
                
 
                            -<ul>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html">What is SuperGradients?</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#introducing-the-supergradients-library">Introducing the SuperGradients library</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#installation">Installation</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#integrating-your-training-code-complete-walkthrough">Integrating Your Training Code - Complete Walkthrough</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#training-parameters">Training Parameters</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#logs-and-checkpoints">Logs and Checkpoints</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#dataset-parameters">Dataset Parameters</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#network-architectures">Network Architectures</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#pretrained-models">Pretrained Models</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#how-to-reproduce-our-training-recipes">How To Reproduce Our Training Recipes</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#professional-tools-integration">Professional Tools Integration</a></li>
                
 
                            -<li class="toctree-l1"><a class="reference internal" href="user_guide.html#supergradients-faq">SuperGradients FAQ</a></li>
                
 
                             </ul>
                
 
                                     </div>
                
@@ -109,120 +111,51 @@
 
                              | <a href="#U"><strong>U</strong></a>
                
 
                              | <a href="#V"><strong>V</strong></a>
                
 
                              | <a href="#W"><strong>W</strong></a>
                
 
                            - | <a href="#X"><strong>X</strong></a>
                
 
                              | <a href="#Y"><strong>Y</strong></a>
                
 
                             </div>
                
 
                             <h2 id="A">A</h2>
                
 
                             <table style="width: 100%" class="indextable genindextable"><tr>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.AbstractCollateFunction">AbstractCollateFunction (class in super_gradients.training.datasets.datasets_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.AbstractMetricsArgsPrepFn">AbstractMetricsArgsPrepFn (class in super_gradients.training.metrics.segmentation_metrics)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.AbstractPrePredictionCallback">AbstractPrePredictionCallback (class in super_gradients.training.datasets.datasets_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Accuracy">Accuracy (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Accuracy">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Accuracy">(class in super_gradients.training.metrics.classification_metrics)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.accuracy">accuracy() (in module super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.accuracy">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.accuracy">(in module super_gradients.training.metrics.classification_metrics)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.utils.adapt_state_dict_to_fit_model_layer_names">adapt_state_dict_to_fit_model_layer_names() (in module super_gradients.training.utils)</a>, <a href="super_gradients.training.utils.html#super_gradients.training.utils.adapt_state_dict_to_fit_model_layer_names">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.checkpoint_utils.adapt_state_dict_to_fit_model_layer_names">(in module super_gradients.training.utils.checkpoint_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Accuracy">Accuracy (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.checkpoint_utils.adaptive_load_state_dict">adaptive_load_state_dict() (in module super_gradients.training.utils.checkpoint_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.ACCURACY">ACCURACY (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.add_log_to_file">add_log_to_file() (in module super_gradients.training.utils.sg_model_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.accuracy">accuracy() (in module super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.adjust_box_anns">adjust_box_anns() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.utils.adapt_state_dict_to_fit_model_layer_names">adapt_state_dict_to_fit_model_layer_names() (in module super_gradients.training.utils)</a>
                
 
                             </li>
                
 
                                   <li><a href="super_gradients.common.html#super_gradients.common.ADNNModelRepositoryDataInterfaces">ADNNModelRepositoryDataInterfaces (class in super_gradients.common)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_interface.html#super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces">(class in super_gradients.common.data_interface)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.common.data_interface.html#super_gradients.common.data_interface.adnn_model_repository_data_interface.ADNNModelRepositoryDataInterfaces">(class in super_gradients.common.data_interface.adnn_model_repository_data_interface)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger.analyze">analyze() (super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger method)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors.anchor_grid">anchor_grid (super_gradients.training.utils.detection_utils.Anchors property)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors">Anchors (class in super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors.anchors">anchors (super_gradients.training.utils.detection_utils.Anchors property)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.TrainingStageSwitchCallbackBase.apply_stage_change">apply_stage_change() (super_gradients.training.utils.callbacks.TrainingStageSwitchCallbackBase method)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.YoloXTrainingStageSwitchCallback.apply_stage_change">(super_gradients.training.utils.callbacks.YoloXTrainingStageSwitchCallback method)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces">(class in super_gradients.common.data_interface)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.COCODetectionDataset.apply_transforms">apply_transforms() (super_gradients.training.datasets.COCODetectionDataset method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.COCODetectionDataset.apply_transforms">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.coco_detection.COCODetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.coco_detection.COCODetectionDataset method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.COCODetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.COCODetectionDataset method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataset.apply_transforms">apply_transforms() (super_gradients.training.datasets.DetectionDataset method)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionRandomAffine.ar_thr">ar_thr (super_gradients.training.transforms.DetectionRandomAffine attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.DetectionDataset method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataset.apply_transforms">(super_gradients.training.datasets.DetectionDataset method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataset.apply_transforms">[1]</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                               </ul></td>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.legacy.html#super_gradients.training.legacy.utils.PrefetchDataLoader.async_prefech">async_prefech() (super_gradients.training.legacy.utils.PrefetchDataLoader method)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.AtomicInteger">AtomicInteger (class in super_gradients.training.datasets.datasets_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionRandomAffine.area_thr">area_thr (super_gradients.training.transforms.DetectionRandomAffine attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.AugmentOp">AugmentOp (class in super_gradients.training.datasets.auto_augment)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.MultiGPUMode.AUTO">AUTO (super_gradients.common.data_types.enum.MultiGPUMode attribute)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.MultiGPUMode.AUTO">AUTO (super_gradients.common.data_types.MultiGPUMode attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.MultiGPUMode.AUTO">(super_gradients.common.data_types.MultiGPUMode attribute)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.AUTO">(super_gradients.common.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                                     <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.AUTO">(super_gradients.training.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.MultiGPUMode.AUTO">(super_gradients.training.sg_model.MultiGPUMode attribute)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.MultiGPUMode.AUTO">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.sg_trainer.MultiGPUMode.AUTO">(super_gradients.training.sg_trainer.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.auto_contrast">auto_contrast() (in module super_gradients.training.datasets.auto_augment)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.AutoLoggerConfig">AutoLoggerConfig (class in super_gradients.common.auto_logging)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.AutoLoggerConfig">AutoLoggerConfig (class in super_gradients.common)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig">(class in super_gradients.common.auto_logging.auto_logger)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.auto_logging.AutoLoggerConfig">(class in super_gradients.common.auto_logging)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.AverageMeter.average">average (super_gradients.training.utils.utils.AverageMeter property)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.AverageMeter">AverageMeter (class in super_gradients.training.utils.utils)</a>
                
 
                            -</li>
                
 
                                   <li><a href="super_gradients.common.html#super_gradients.common.AWSConnector">AWSConnector (class in super_gradients.common)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.AWSConnector">(class in super_gradients.common.aws_connection)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_connector.AWSConnector">(class in super_gradients.common.aws_connection.aws_connector)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector">AWSSecretsManagerConnector (class in super_gradients.common.aws_connection.aws_secrets_manager_connector)</a>
                
 
                             </li>
                
 
                               </ul></td>
                
 
                             </tr></table>
                
@@ -230,67 +163,31 @@
 
                             <h2 id="B">B</h2>
                
 
                             <table style="width: 100%" class="indextable genindextable"><tr>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.sg_dataset.BaseSgVisionDataset">BaseSgVisionDataset (class in super_gradients.training.datasets.sg_dataset)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.BinarySegmentationVisualizationCallback.batch_idx">batch_idx (super_gradients.training.utils.callbacks.BinarySegmentationVisualizationCallback attribute)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DetectionVisualizationCallback.batch_idx">(super_gradients.training.utils.callbacks.DetectionVisualizationCallback attribute)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.batch_intersection_union">batch_intersection_union() (in module super_gradients.training.metrics.segmentation_metrics)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.batch_pix_accuracy">batch_pix_accuracy() (in module super_gradients.training.metrics.segmentation_metrics)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.Losses.BCE_DICE_LOSS">BCE_DICE_LOSS (super_gradients.training.losses.Losses attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.losses.BCEDiceLoss">BCEDiceLoss (class in super_gradients.training.losses)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.BCEDiceLoss">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.BCEDiceLoss">BCEDiceLoss (class in super_gradients.training.losses)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.best">best (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice">BinaryDice (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryDice">[1]</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.UpsampleMode.BICUBIC">BICUBIC (super_gradients.common.data_types.UpsampleMode attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryDice">(class in super_gradients.training.metrics.segmentation_metrics)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.UpsampleMode.BICUBIC">(super_gradients.common.UpsampleMode attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU">BinaryIOU (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryIOU">[1]</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.UpsampleMode.BILINEAR">BILINEAR (super_gradients.common.data_types.UpsampleMode attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU">(class in super_gradients.training.metrics.segmentation_metrics)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.UpsampleMode.BILINEAR">(super_gradients.common.UpsampleMode attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.segmentation_utils.BinarySegmentationVisualization">BinarySegmentationVisualization (class in super_gradients.training.utils.segmentation_utils)</a>
                
 
                            -</li>
                
 
                               </ul></td>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.BinarySegmentationVisualizationCallback">BinarySegmentationVisualizationCallback (class in super_gradients.training.utils.callbacks)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.environment.html#super_gradients.common.environment.env_helpers.TerminalColours.BOLD">BOLD (super_gradients.common.environment.env_helpers.TerminalColours attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.box_iou">box_iou() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.brightness">brightness() (in module super_gradients.training.datasets.auto_augment)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.build_data_loaders">build_data_loaders() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionDatasetInterface.build_data_loaders">(super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionDatasetInterface method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.BINARY_DICE">BINARY_DICE (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.DatasetInterface.build_data_loaders">(super_gradients.training.datasets.dataset_interfaces.DatasetInterface method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.BINARY_IOU">BINARY_IOU (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DatasetInterface.build_data_loaders">(super_gradients.training.datasets.DatasetInterface method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DatasetInterface.build_data_loaders">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice">BinaryDice (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.KDModel.build_model">build_model() (super_gradients.training.KDModel method)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.build_model">(super_gradients.training.sg_model.sg_model.SgModel method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.build_model">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.build_model">[1]</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.build_model">(super_gradients.training.SgModel method)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.optimizer_utils.build_optimizer">build_optimizer() (in module super_gradients.training.utils.optimizer_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU">BinaryIOU (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                               </ul></td>
                
 
                             </tr></table>
                
@@ -298,527 +195,367 @@
 
                             <h2 id="C">C</h2>
                
 
                             <table style="width: 100%" class="indextable genindextable"><tr>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.calc_bbox_iou_matrix">calc_bbox_iou_matrix() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.calculate_bbox_iou_matrix">calculate_bbox_iou_matrix() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.center_sampling_radius">center_sampling_radius (super_gradients.training.losses.YoloXDetectionLoss attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.CallbackHandler">CallbackHandler (class in super_gradients.training.utils.callbacks)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.CenterCrop">CenterCrop (super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.CallbackHandler.callbacks">callbacks (super_gradients.training.utils.callbacks.CallbackHandler attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.center_sampling_radius">center_sampling_radius (super_gradients.training.losses.YoloXDetectionLoss attribute)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.center_sampling_radius">[1]</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.change_bbox_bounds_for_image_size">change_bbox_bounds_for_image_size() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DetectionMultiscalePrePredictionCallback.change_frequency">change_frequency (super_gradients.training.datasets.datasets_utils.DetectionMultiscalePrePredictionCallback attribute)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.MultiscalePrePredictionCallback.change_frequency">(super_gradients.training.datasets.datasets_utils.MultiscalePrePredictionCallback attribute)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.change_from_best">change_from_best (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.change_from_previous">change_from_previous (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.check_img_size_divisibility">check_img_size_divisibility() (in module super_gradients.training.utils.utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.check_key_exists">check_key_exists() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.check_key_exists">check_key_exists() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.check_key_exists">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.check_key_exists">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.check_models_have_same_weights">check_models_have_same_weights() (in module super_gradients.training.utils.utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.Cifar10">Cifar10 (class in super_gradients.training.datasets)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.Cifar100DatasetInterface">Cifar100DatasetInterface (class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.Cifar100DatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.Cifar100">Cifar100 (class in super_gradients.training.datasets)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.Cifar10DatasetInterface">Cifar10DatasetInterface (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.Cifar10DatasetInterface">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.Cifar10DatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cifar100_train">cifar100_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.Cifar10DatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cifar100_val">cifar100_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.CityscapesDataset">CityscapesDataset (class in super_gradients.training.datasets.segmentation_datasets)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation.CityscapesDataset">(class in super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.cifar10_resnet_train_params">cifar10_resnet_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CityscapesDatasetInterface">CityscapesDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cifar10_train">cifar10_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DeciLabUploadCallback.ckpt_name">ckpt_name (super_gradients.training.utils.callbacks.DeciLabUploadCallback attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cifar10_val">cifar10_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.SuperviselyPersonsDataset.CLASS_LABELS">CLASS_LABELS (super_gradients.training.datasets.segmentation_datasets.SuperviselyPersonsDataset attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_ddrnet_train">cityscapes_ddrnet_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DetectionVisualizationCallback.classes">classes (super_gradients.training.utils.callbacks.DetectionVisualizationCallback attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.cityscapes_ddrnet_train_params">cityscapes_ddrnet_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.DeepLearningTask.CLASSIFICATION">CLASSIFICATION (super_gradients.common.data_types.DeepLearningTask attribute)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask.CLASSIFICATION">(super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_ddrnet_val">cityscapes_ddrnet_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.DeepLearningTask.CLASSIFICATION">(super_gradients.common.data_types.enum.DeepLearningTask attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_regseg48_train">cityscapes_regseg48_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.common.html#super_gradients.common.DeepLearningTask.CLASSIFICATION">(super_gradients.common.DeepLearningTask attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.cityscapes_regseg48_train_params">cityscapes_regseg48_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.all_datasets.SgLibraryDatasets.CLASSIFICATION">(super_gradients.training.datasets.all_datasets.SgLibraryDatasets attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_regseg48_val">cityscapes_regseg48_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.ClassificationDatasetInterface">ClassificationDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ClassificationDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.cityscapes_stdc_base_train_params">cityscapes_stdc_base_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.ClassificationTestDatasetInterface">ClassificationTestDatasetInterface (class in super_gradients.training)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.ClassificationTestDatasetInterface">(class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.ClassificationTestDatasetInterface">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_stdc_seg50_train">cityscapes_stdc_seg50_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.ClassificationTestDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.cityscapes_stdc_seg50_train_params">cityscapes_stdc_seg50_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ClassificationTestDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_stdc_seg50_val">cityscapes_stdc_seg50_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging.cleanup">cleanup() (super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_stdc_seg75_train">cityscapes_stdc_seg75_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.segmentation_utils.coco_sub_classes_inclusion_tuples_list">coco_sub_classes_inclusion_tuples_list() (in module super_gradients.training.utils.segmentation_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.cityscapes_stdc_seg75_train_params">cityscapes_stdc_seg75_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase">CoCoDataSetInterfaceBase (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_stdc_seg75_val">cityscapes_stdc_seg75_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.COCODetectionDataset">COCODetectionDataset (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.COCODetectionDataset">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.COCODetectionDataset">(class in super_gradients.training.datasets.detection_datasets)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_train">cityscapes_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.coco_detection.COCODetectionDataset">(class in super_gradients.training.datasets.detection_datasets.coco_detection)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.cityscapes_val">cityscapes_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.CoCoDetectionDatasetInterface">CoCoDetectionDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDetectionDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.SuperviselyPersonsDataset.CLASS_LABELS">CLASS_LABELS (super_gradients.training.datasets.SuperviselyPersonsDataset attribute)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.CoCoSegmentationDataSet">CoCoSegmentationDataSet (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.CoCoSegmentationDataSet">[1]</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.DeepLearningTask.CLASSIFICATION">CLASSIFICATION (super_gradients.common.data_types.DeepLearningTask attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.CoCoSegmentationDataSet">(class in super_gradients.training.datasets.segmentation_datasets)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.coco_segmentation.CoCoSegmentationDataSet">(class in super_gradients.training.datasets.segmentation_datasets.coco_segmentation)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.DeepLearningTask.CLASSIFICATION">(super_gradients.common.DeepLearningTask attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.CoCoSegmentationDatasetInterface">CoCoSegmentationDatasetInterface (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.CoCoSegmentationDatasetInterface">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionMosaic.close">close() (super_gradients.training.transforms.DetectionMosaic method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.CoCoSegmentationDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoSegmentationDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionRandomAffine.close">(super_gradients.training.transforms.DetectionRandomAffine method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.mixup.CollateMixup">CollateMixup (class in super_gradients.training.datasets.mixup)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.color">color() (in module super_gradients.training.datasets.auto_augment)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.environment.html#super_gradients.common.environment.env_helpers.ColouredTextFormatter">ColouredTextFormatter (class in super_gradients.common.environment.env_helpers)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.ComposedCollateFunction">ComposedCollateFunction (class in super_gradients.training.datasets.datasets_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice.compute">compute() (super_gradients.training.metrics.BinaryDice method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryDice.compute">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU.compute">(super_gradients.training.metrics.BinaryIOU method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryIOU.compute">[1]</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Top5.compute">(super_gradients.training.metrics.classification_metrics.Top5 method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.ToyTestClassificationMetric.compute">(super_gradients.training.metrics.classification_metrics.ToyTestClassificationMetric method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.DetectionMetrics.compute">(super_gradients.training.metrics.detection_metrics.DetectionMetrics method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.coco2017_ssd_lite_mobilenet_v2_train_params">coco2017_ssd_lite_mobilenet_v2_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics.compute">(super_gradients.training.metrics.DetectionMetrics method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.DetectionMetrics.compute">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco2017_train">coco2017_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice.compute">(super_gradients.training.metrics.Dice method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Dice.compute">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco2017_train_ssd_lite_mobilenet_v2">coco2017_train_ssd_lite_mobilenet_v2() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.PixelAccuracy.compute">(super_gradients.training.metrics.PixelAccuracy method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.PixelAccuracy.compute">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco2017_train_yolox">coco2017_train_yolox() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryDice.compute">(super_gradients.training.metrics.segmentation_metrics.BinaryDice method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco2017_val">coco2017_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU.compute">(super_gradients.training.metrics.segmentation_metrics.BinaryIOU method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco2017_val_ssd_lite_mobilenet_v2">coco2017_val_ssd_lite_mobilenet_v2() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.Dice.compute">(super_gradients.training.metrics.segmentation_metrics.Dice method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco2017_val_yolox">coco2017_val_yolox() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.PixelAccuracy.compute">(super_gradients.training.metrics.segmentation_metrics.PixelAccuracy method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.coco2017_yolox_train_params">coco2017_yolox_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Top5.compute">(super_gradients.training.metrics.Top5 method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Top5.compute">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.training_hyperparams.coco_segmentation_shelfnet_lw_train_params">coco_segmentation_shelfnet_lw_train_params() (in module super_gradients.training.training_hyperparams)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.ToyTestClassificationMetric.compute">(super_gradients.training.metrics.ToyTestClassificationMetric method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.ToyTestClassificationMetric.compute">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco_segmentation_train">coco_segmentation_train() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                               </ul></td>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_box_area">compute_box_area() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_detection_matching">compute_detection_matching() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.dataloaders.coco_segmentation_val">coco_segmentation_val() (in module super_gradients.training.dataloaders)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_detection_metrics">compute_detection_metrics() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.COCODetectionDataset">COCODetectionDataset (class in super_gradients.training.datasets)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_detection_metrics_per_cls">compute_detection_metrics_per_cls() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.CoCoSegmentationDataSet">CoCoSegmentationDataSet (class in super_gradients.training.datasets)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_img_detection_matching">compute_img_detection_matching() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.ColorJitter">ColorJitter (super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.distributed_training_utils.compute_precise_bn_stats">compute_precise_bn_stats() (in module super_gradients.training.utils.distributed_training_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice.confmat">confmat (super_gradients.training.metrics.BinaryDice attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryDice.confmat">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.DiceCEEdgeLoss.component_names">component_names (super_gradients.training.losses.DiceCEEdgeLoss property)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU.confmat">(super_gradients.training.metrics.BinaryIOU attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryIOU.confmat">[1]</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice.confmat">(super_gradients.training.metrics.Dice attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Dice.confmat">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.losses.KDLogitsLoss.component_names">(super_gradients.training.losses.KDLogitsLoss property)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.IoU.confmat">(super_gradients.training.metrics.IoU attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.IoU.confmat">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.losses.ShelfNetOHEMLoss.component_names">(super_gradients.training.losses.ShelfNetOHEMLoss property)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryDice.confmat">(super_gradients.training.metrics.segmentation_metrics.BinaryDice attribute)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.losses.ShelfNetSemanticEncodingLoss.component_names">(super_gradients.training.losses.ShelfNetSemanticEncodingLoss property)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU.confmat">(super_gradients.training.metrics.segmentation_metrics.BinaryIOU attribute)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.losses.SSDLoss.component_names">(super_gradients.training.losses.SSDLoss property)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.Dice.confmat">(super_gradients.training.metrics.segmentation_metrics.Dice attribute)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.IoU.confmat">(super_gradients.training.metrics.segmentation_metrics.IoU attribute)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.component_names">(super_gradients.training.losses.YoloXDetectionLoss property)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.connect_dataset_interface">connect_dataset_interface() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.Compose">Compose (super_gradients.training.transforms.Transforms attribute)</a>
                
 
                            +</li>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice.compute">compute() (super_gradients.training.metrics.BinaryDice method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.connect_dataset_interface">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.connect_dataset_interface">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU.compute">(super_gradients.training.metrics.BinaryIOU method)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.connect_dataset_interface">(super_gradients.training.SgModel method)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics.compute">(super_gradients.training.metrics.DetectionMetrics method)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.ContextSgMethods">ContextSgMethods (class in super_gradients.training.utils.callbacks)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice.compute">(super_gradients.training.metrics.Dice method)</a>
                
 
                            +</li>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.PixelAccuracy.compute">(super_gradients.training.metrics.PixelAccuracy method)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.contrast">contrast() (in module super_gradients.training.datasets.auto_augment)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Top5.compute">(super_gradients.training.metrics.Top5 method)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.module_utils.ConvBNReLU">ConvBNReLU (class in super_gradients.training.utils.module_utils)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.ToyTestClassificationMetric.compute">(super_gradients.training.metrics.ToyTestClassificationMetric method)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.convert_content_length_to_mb">convert_content_length_to_mb() (super_gradients.common.data_connection.s3_connector.S3Connector static method)</a>
                
 
                            +      </ul></li>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice.confmat">confmat (super_gradients.training.metrics.BinaryDice attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.convert_content_length_to_mb">(super_gradients.common.data_connection.S3Connector static method)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU.confmat">(super_gradients.training.metrics.BinaryIOU attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.convert_content_length_to_mb">(super_gradients.common.S3Connector static method)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice.confmat">(super_gradients.training.metrics.Dice attribute)</a>
                
 
                            +</li>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.metrics.IoU.confmat">(super_gradients.training.metrics.IoU attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.utils.convert_to_tensor">convert_to_tensor() (in module super_gradients.training.utils)</a>, <a href="super_gradients.training.utils.html#super_gradients.training.utils.convert_to_tensor">[1]</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.auto_logging.AutoLoggerConfig.CONSOLE_LOGGING_LEVEL">CONSOLE_LOGGING_LEVEL (super_gradients.common.auto_logging.AutoLoggerConfig attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.convert_to_tensor">(in module super_gradients.training.utils.utils)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.AutoLoggerConfig.CONSOLE_LOGGING_LEVEL">(super_gradients.common.AutoLoggerConfig attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.convert_xywh_bbox_to_xyxy">convert_xywh_bbox_to_xyxy() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.ema.copy_attr">copy_attr() (in module super_gradients.training.utils.ema)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.auto_logging.ConsoleSink">ConsoleSink (class in super_gradients.common.auto_logging)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.copy_key">copy_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.convert_content_length_to_mb">convert_content_length_to_mb() (super_gradients.common.data_connection.S3Connector static method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.copy_key">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.copy_key">(super_gradients.common.S3Connector method)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.convert_content_length_to_mb">(super_gradients.common.S3Connector static method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Accuracy.correct">correct (super_gradients.training.metrics.Accuracy attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Accuracy.correct">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.utils.convert_to_tensor">convert_to_tensor() (in module super_gradients.training.utils)</a>
                
 
                            +</li>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.ConvertImageDtype">ConvertImageDtype (super_gradients.training.transforms.Transforms attribute)</a>
                
 
                            +</li>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.copy_key">copy_key() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Accuracy.correct">(super_gradients.training.metrics.classification_metrics.Accuracy attribute)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.copy_key">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.CosineLRCallback">CosineLRCallback (class in super_gradients.training.utils.callbacks)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Accuracy.correct">correct (super_gradients.training.metrics.Accuracy attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.create_bucket">create_bucket() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.create_bucket">create_bucket() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.create_bucket">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.create_bucket">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.create_presigned_download_url">create_presigned_download_url() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.create_presigned_download_url">create_presigned_download_url() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.create_presigned_download_url">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.create_presigned_download_url">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.create_presigned_upload_url">create_presigned_upload_url() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.create_presigned_upload_url">create_presigned_upload_url() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.create_presigned_upload_url">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.create_presigned_upload_url">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.label_smoothing_cross_entropy_loss.cross_entropy">cross_entropy() (in module super_gradients.training.losses.label_smoothing_cross_entropy_loss)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.crowd_ioa">crowd_ioa() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.CrowdDetectionCollateFN">CrowdDetectionCollateFN (class in super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.current">current (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.Losses.CROSS_ENTROPY">CROSS_ENTROPY (super_gradients.training.losses.Losses attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector.current_environment_client">current_environment_client (super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.mixup.cutmix_bbox_and_lam">cutmix_bbox_and_lam() (in module super_gradients.training.datasets.mixup)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.PascalVOCAndAUGUnifiedDataset.cumulative_sizes">cumulative_sizes (super_gradients.training.datasets.PascalVOCAndAUGUnifiedDataset attribute)</a>
                
 
                             </li>
                
 
                                   <li><a href="super_gradients.training.html#super_gradients.training.DataAugmentation.cutout">cutout() (super_gradients.training.DataAugmentation static method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.data_augmentation.DataAugmentation.cutout">(super_gradients.training.datasets.data_augmentation.DataAugmentation static method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DataAugmentation.cutout">(super_gradients.training.datasets.DataAugmentation static method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DataAugmentation.cutout">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.datasets.DataAugmentation.cutout">(super_gradients.training.datasets.DataAugmentation static method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.cxcywh2xyxy">cxcywh2xyxy() (in module super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionTargetsFormat.CXCYWH_LABEL">CXCYWH_LABEL (super_gradients.training.utils.detection_utils.DetectionTargetsFormat attribute)</a>
                
 
                            -</li>
                
 
                               </ul></td>
                
 
                             </tr></table>
                
 
                             <h2 id="D">D</h2>
                
 
                             <table style="width: 100%" class="indextable genindextable"><tr>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.MultiGPUMode.DATA_PARALLEL">DATA_PARALLEL (super_gradients.common.data_types.enum.MultiGPUMode attribute)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.MultiGPUMode.DATA_PARALLEL">DATA_PARALLEL (super_gradients.common.data_types.MultiGPUMode attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.MultiGPUMode.DATA_PARALLEL">(super_gradients.common.data_types.MultiGPUMode attribute)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.DATA_PARALLEL">(super_gradients.common.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                                     <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.DATA_PARALLEL">(super_gradients.training.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.MultiGPUMode.DATA_PARALLEL">(super_gradients.training.sg_model.MultiGPUMode attribute)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.MultiGPUMode.DATA_PARALLEL">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.sg_trainer.MultiGPUMode.DATA_PARALLEL">(super_gradients.training.sg_trainer.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                                   <li><a href="super_gradients.training.html#super_gradients.training.DataAugmentation">DataAugmentation (class in super_gradients.training)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DataAugmentation">(class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DataAugmentation">[1]</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.data_augmentation.DataAugmentation">(class in super_gradients.training.datasets.data_augmentation)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.datasets.DataAugmentation">(class in super_gradients.training.datasets)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                                   <li><a href="super_gradients.common.html#super_gradients.common.DatasetDataInterface">DatasetDataInterface (class in super_gradients.common)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_interface.html#super_gradients.common.data_interface.DatasetDataInterface">(class in super_gradients.common.data_interface)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.common.data_interface.html#super_gradients.common.data_interface.dataset_data_interface.DatasetDataInterface">(class in super_gradients.common.data_interface.dataset_data_interface)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.all_datasets.DataSetDoesNotExistException">DataSetDoesNotExistException</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DatasetInterface">DatasetInterface (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DatasetInterface">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.DatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.data_interface.DatasetDataInterface">(class in super_gradients.common.data_interface)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger">DatasetStatisticsTensorboardLogger (class in super_gradients.training.datasets.datasets_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ddrnet_loss.DDRNetLoss">DDRNetLoss (class in super_gradients.training.losses.ddrnet_loss)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.decorators.html#super_gradients.common.decorators.deci_logger.deci_class_logger">deci_class_logger() (in module super_gradients.common.decorators.deci_logger)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector.DECI_ENVIRONMENTS">DECI_ENVIRONMENTS (super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.PascalVOCAndAUGUnifiedDataset.datasets">datasets (super_gradients.training.datasets.PascalVOCAndAUGUnifiedDataset attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.decorators.html#super_gradients.common.decorators.deci_logger.deci_func_logger">deci_func_logger() (in module super_gradients.common.decorators.deci_logger)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.PascalVOC2012SegmentationDataSet.decode_segmentation_mask">decode_segmentation_mask() (super_gradients.training.datasets.PascalVOC2012SegmentationDataSet method)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DeciLabUploadCallback">DeciLabUploadCallback (class in super_gradients.training.utils.callbacks)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.PascalVOC2012SegmentationDataSet.decode_segmentation_mask">decode_segmentation_mask() (super_gradients.training.datasets.PascalVOC2012SegmentationDataSet method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.PascalVOC2012SegmentationDataSet.decode_segmentation_mask">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation.PascalVOC2012SegmentationDataSet.decode_segmentation_mask">(super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation.PascalVOC2012SegmentationDataSet method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.PascalVOC2012SegmentationDataSet.decode_segmentation_mask">(super_gradients.training.datasets.segmentation_datasets.PascalVOC2012SegmentationDataSet method)</a>
                
 
                            -</li>
                
 
                            -      </ul></li>
                
 
                                   <li><a href="super_gradients.common.html#super_gradients.common.DeepLearningTask">DeepLearningTask (class in super_gradients.common)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.DeepLearningTask">(class in super_gradients.common.data_types)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.DeepLearningTask">(class in super_gradients.common.data_types.enum)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask">(class in super_gradients.common.data_types.enum.deep_learning_task)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.data_types.DeepLearningTask">(class in super_gradients.common.data_types)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger.DEFAULT_SUMMARY_PARAMS">DEFAULT_SUMMARY_PARAMS (super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionRandomAffine.degrees">degrees (super_gradients.training.transforms.DetectionRandomAffine attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.ssd_utils.DefaultBoxes">DefaultBoxes (class in super_gradients.training.utils.ssd_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.delete_bucket">delete_bucket() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.delete_bucket">delete_bucket() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.delete_bucket">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.delete_bucket">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.delete_key">delete_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.delete_key">delete_key() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.delete_key">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.delete_key">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.DeepLearningTask.DEPTH_ESTIMATION">DEPTH_ESTIMATION (super_gradients.common.data_types.DeepLearningTask attribute)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.DeepLearningTask.DEPTH_ESTIMATION">DEPTH_ESTIMATION (super_gradients.common.data_types.DeepLearningTask attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask.DEPTH_ESTIMATION">(super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.DeepLearningTask.DEPTH_ESTIMATION">(super_gradients.common.data_types.enum.DeepLearningTask attribute)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.DeepLearningTask.DEPTH_ESTIMATION">(super_gradients.common.DeepLearningTask attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors.detection_layers_num">detection_layers_num (super_gradients.training.utils.detection_utils.Anchors property)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.DETECTION_METRICS">DETECTION_METRICS (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionCollateFN">DetectionCollateFN (class in super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.DETECTION_METRICS_050">DETECTION_METRICS_050 (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataset">DetectionDataset (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataset">[1]</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataset">(class in super_gradients.training.datasets.detection_datasets)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.DETECTION_METRICS_050_095">DETECTION_METRICS_050_095 (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset">(class in super_gradients.training.datasets.detection_datasets.detection_dataset)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.DETECTION_METRICS_075">DETECTION_METRICS_075 (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -  </ul></td>
                
 
                            -  <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionDatasetInterface">DetectionDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataset">DetectionDataset (class in super_gradients.training.datasets)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics">DetectionMetrics (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.DetectionMetrics">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionHorizontalFlip">DetectionHorizontalFlip (super_gradients.training.transforms.Transforms attribute)</a>
                
 
                            +</li>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionHSV">DetectionHSV (class in super_gradients.training.transforms)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.DetectionMetrics">(class in super_gradients.training.metrics.detection_metrics)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionHSV">(super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DetectionMultiscalePrePredictionCallback">DetectionMultiscalePrePredictionCallback (class in super_gradients.training.datasets.datasets_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionPostPredictionCallback">DetectionPostPredictionCallback (class in super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionTargetsFormat">DetectionTargetsFormat (class in super_gradients.training.utils.detection_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.DetectionTestDatasetInterface">DetectionTestDatasetInterface (class in super_gradients.training)</a>
                
 
                            -
                
 
                            -      <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionTestDatasetInterface">(class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionTestDatasetInterface">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics">DetectionMetrics (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.DetectionTestDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics_050">DetectionMetrics_050 (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionTestDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics_050_095">DetectionMetrics_050_095 (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionVisualization">DetectionVisualization (class in super_gradients.training.utils.detection_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics_075">DetectionMetrics_075 (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DetectionVisualizationCallback">DetectionVisualizationCallback (class in super_gradients.training.utils.callbacks)</a>
                
 
                            +  </ul></td>
                
 
                            +  <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionMixup">DetectionMixup (super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice">Dice (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Dice">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionMosaic">DetectionMosaic (class in super_gradients.training.transforms)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.Dice">(class in super_gradients.training.metrics.segmentation_metrics)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionMosaic">(super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.losses.DiceCEEdgeLoss">DiceCEEdgeLoss (class in super_gradients.training.losses)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.DiceCEEdgeLoss">[1]</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DirectoryDataSet">DirectoryDataSet (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DirectoryDataSet">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionPaddedRescale">DetectionPaddedRescale (class in super_gradients.training.transforms)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.sg_dataset.DirectoryDataSet">(class in super_gradients.training.datasets.sg_dataset)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionPaddedRescale">(super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.display_epoch_summary">display_epoch_summary() (in module super_gradients.training.utils.sg_model_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.DetectionMetrics.dist_sync_on_step">dist_sync_on_step (super_gradients.training.metrics.detection_metrics.DetectionMetrics attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionRandomAffine">DetectionRandomAffine (class in super_gradients.training.transforms)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics.dist_sync_on_step">(super_gradients.training.metrics.DetectionMetrics attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.DetectionMetrics.dist_sync_on_step">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionRandomAffine">(super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.distributed_training_utils.distributed_all_reduce_tensor_average">distributed_all_reduce_tensor_average() (in module super_gradients.training.utils.distributed_training_utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionTargetsFormat">DetectionTargetsFormat (super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">DISTRIBUTED_DATA_PARALLEL (super_gradients.common.data_types.enum.MultiGPUMode attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionTargetsFormatTransform">DetectionTargetsFormatTransform (class in super_gradients.training.transforms)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.common.data_types.MultiGPUMode attribute)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.transforms.Transforms.DetectionTargetsFormatTransform">(super_gradients.training.transforms.Transforms attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.common.MultiGPUMode attribute)</a>
                
 
                            +      </ul></li>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice">Dice (class in super_gradients.training.metrics)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.training.MultiGPUMode attribute)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Metrics.DICE">DICE (super_gradients.training.metrics.Metrics attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.training.sg_model.MultiGPUMode attribute)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.Losses.DICE_CE_EDGE_LOSS">DICE_CE_EDGE_LOSS (super_gradients.training.losses.Losses attribute)</a>
                
 
                             </li>
                
 
                            -      </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.pascal_voc_detection.PascalVOCDetectionDataset.download">download() (super_gradients.training.datasets.detection_datasets.pascal_voc_detection.PascalVOCDetectionDataset static method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.DiceCEEdgeLoss">DiceCEEdgeLoss (class in super_gradients.training.losses)</a>
                
 
                            +</li>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.MultiGPUMode.dict">dict() (super_gradients.common.data_types.MultiGPUMode class method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.PascalVOCDetectionDataset.download">(super_gradients.training.datasets.detection_datasets.PascalVOCDetectionDataset static method)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.dict">(super_gradients.common.MultiGPUMode class method)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.PascalVOCDetectionDataset.download">(super_gradients.training.datasets.PascalVOCDetectionDataset static method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.PascalVOCDetectionDataset.download">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.dict">(super_gradients.training.MultiGPUMode class method)</a>
                
 
                            +</li>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.sg_trainer.MultiGPUMode.dict">(super_gradients.training.sg_trainer.MultiGPUMode class method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.download_and_untar_from_url">download_and_untar_from_url() (in module super_gradients.training.utils.utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.DirectoryDataSet">DirectoryDataSet (class in super_gradients.training.datasets)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.download_and_unzip_from_url">download_and_unzip_from_url() (in module super_gradients.training.utils.utils)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics.dist_sync_on_step">dist_sync_on_step (super_gradients.training.metrics.DetectionMetrics attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.download_file_by_path">download_file_by_path() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_types.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">DISTRIBUTED_DATA_PARALLEL (super_gradients.common.data_types.MultiGPUMode attribute)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.download_file_by_path">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.common.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.download_file_by_path">(super_gradients.common.S3Connector method)</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.training.MultiGPUMode attribute)</a>
                
 
                            +</li>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.sg_trainer.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.training.sg_trainer.MultiGPUMode attribute)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.download_from_cloud">download_from_cloud() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.datasets.PascalVOCDetectionDataset.download">download() (super_gradients.training.datasets.PascalVOCDetectionDataset static method)</a>
                
 
                            +</li>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.download_file_by_path">download_file_by_path() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.DatasetInterface.download_from_cloud">(super_gradients.training.datasets.dataset_interfaces.DatasetInterface method)</a>
                
 
                            -</li>
                
 
                            -        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DatasetInterface.download_from_cloud">(super_gradients.training.datasets.DatasetInterface method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DatasetInterface.download_from_cloud">[1]</a>
                
 
                            +        <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.download_file_by_path">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.download_key">download_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.download_key">download_key() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.download_key">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.download_key">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.download_keys_by_prefix">download_keys_by_prefix() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.download_keys_by_prefix">download_keys_by_prefix() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.download_keys_by_prefix">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.download_keys_by_prefix">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.regularization_utils.DropPath">DropPath (class in super_gradients.training.utils.regularization_utils)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.dynamic_k_matching">dynamic_k_matching() (super_gradients.training.losses.YoloXDetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.dynamic_k_matching">[1]</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.dynamic_k_matching">dynamic_k_matching() (super_gradients.training.losses.YoloXDetectionLoss method)</a>
                
 
                             </li>
                
 
                               </ul></td>
                
 
                             </tr></table>
                
@@ -826,2228 +563,1044 @@
 
                             <h2 id="E">E</h2>
                
 
                             <table style="width: 100%" class="indextable genindextable"><tr>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.early_stopping.EarlyStop">EarlyStop (class in super_gradients.training.utils.early_stopping)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DeciLabUploadCallback.email">email (super_gradients.training.utils.callbacks.DeciLabUploadCallback attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.empty_folder_content_by_path_prefix">empty_folder_content_by_path_prefix() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
                
 
                            +      <li><a href="super_gradients.common.html#super_gradients.common.data_connection.S3Connector.empty_folder_content_by_path_prefix">empty_folder_content_by_path_prefix() (super_gradients.common.data_connection.S3Connector method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.empty_folder_content_by_path_prefix">(super_gradients.common.data_connection.S3Connector method)</a>
                
 
                            -</li>
                
 
                                     <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.empty_folder_content_by_path_prefix">(super_gradients.common.S3Connector method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                            -      <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.coco_segmentation.EmptyCoCoClassesSelectionException">EmptyCoCoClassesSelectionException</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionRandomAffine.enable">enable (super_gradients.training.transforms.DetectionRandomAffine attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.training.exceptions.html#super_gradients.training.exceptions.dataset_exceptions.EmptyDatasetException">EmptyDatasetException</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.transforms.DetectionMosaic.enable_mosaic">enable_mosaic (super_gradients.training.transforms.DetectionMosaic attribute)</a>
                
 
                             </li>
                
 
                            -      <li><a href="super_gradients.common.environment.html#super_gradients.common.environment.env_helpers.TerminalColours.ENDC">ENDC (super_gradients.common.environment.env_helpers.TerminalColours attribute)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.equalize">equalize() (in module super_gradients.training.datasets.auto_augment)</a>
                
 
                            -</li>
                
 
                            -      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.evaluate">evaluate() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.sg_trainer.Trainer.evaluate">evaluate() (super_gradients.training.sg_trainer.Trainer method)</a>
                
 
                                   <ul>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.evaluate">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.evaluate">[1]</a>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.Trainer.evaluate">(super_gradients.training.Trainer method)</a>
                
 
                             </li>
                
 
                            -        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.evaluate">(super_gradients.training.SgModel method)</a>
                
 
                            +      </ul></li>
                
 
                            +      <li><a href="super_gradients.training.html#super_gradients.training.sg_trainer.Trainer.evaluate_checkpoint">evaluate_checkpoint() (super_gradients.training.sg_trainer.Trainer class method)</a>
                
 
                            +
                
 
                            +      <ul>
                
 
                            +        <li><a href="super_gradients.training.html#super_gradients.training.Trainer.evaluate_checkpoint">(super_gradients.training.Trainer class method)</a>
                
 
                             </li>
                
 
                                   </ul></li>
                
 
                               </ul></td>
                
 
                               <td style="width: 33%; vertical-align: top;"><ul>