SuperGradients
Contents:
Introduction
Installation
super_gradients.training package
SuperGradients
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Index
Index
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C
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D
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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X
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Y
A
AbstractCollateFunction (class in super_gradients.training.datasets.datasets_utils)
AbstractYoLoV5Backbone (class in super_gradients.training.models.yolov5)
Accuracy (class in super_gradients.training.metrics.classification_metrics)
accuracy() (in module super_gradients.training.metrics.classification_metrics)
adapt_state_dict_to_fit_model_layer_names() (in module super_gradients.training.utils.checkpoint_utils)
adaptive_load_state_dict() (in module super_gradients.training.utils.checkpoint_utils)
add_log_to_file() (in module super_gradients.training.utils.sg_model_utils)
add_yolo_layer_to_modules_list() (super_gradients.training.models.yolov3.YoloV3 static method)
ADNNModelRepositoryDataInterfaces (class in super_gradients.common.data_interface.adnn_model_repository_data_interface)
analyze() (super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger method)
anchor_grid (super_gradients.training.utils.detection_utils.Anchors property)
AnchorGenerator (class in super_gradients.training.utils.detection_utils)
Anchors (class in super_gradients.training.utils.detection_utils)
anchors (super_gradients.training.utils.detection_utils.Anchors property)
AnyBackBoneDDRNet23 (class in super_gradients.training.models.ddrnet)
AnyNetX (class in super_gradients.training.models.regnet)
ap_per_class() (in module super_gradients.training.metrics.detection_metrics)
async_prefech() (super_gradients.training.legacy.utils.PrefetchDataLoader method)
AtomicInteger (class in super_gradients.training.datasets.datasets_utils)
AttentionRefinementModule (class in super_gradients.training.models.shelfnet)
augment_hsv() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
AugmentOp (class in super_gradients.training.datasets.auto_augment)
auto_contrast() (in module super_gradients.training.datasets.auto_augment)
AutoLoggerConfig (class in super_gradients.common.auto_logging.auto_logger)
autopad() (in module super_gradients.training.models.csp_darknet53)
aux_logits1 (super_gradients.training.models.googlenet.GoogLeNetOutputs property)
aux_logits2 (super_gradients.training.models.googlenet.GoogLeNetOutputs property)
average (super_gradients.training.utils.utils.AverageMeter property)
AverageMeter (class in super_gradients.training.utils.utils)
AWSConnector (class in super_gradients.common.aws_connection.aws_connector)
AWSSecretsManagerConnector (class in super_gradients.common.aws_connection.aws_secrets_manager_connector)
B
b0() (in module super_gradients.training.models.efficientnet)
b1() (in module super_gradients.training.models.efficientnet)
b2() (in module super_gradients.training.models.efficientnet)
b3() (in module super_gradients.training.models.efficientnet)
b4() (in module super_gradients.training.models.efficientnet)
b5() (in module super_gradients.training.models.efficientnet)
b6() (in module super_gradients.training.models.efficientnet)
b7() (in module super_gradients.training.models.efficientnet)
b8() (in module super_gradients.training.models.efficientnet)
backward_step() (super_gradients.training.sg_model.sg_model.SgModel method)
base_detection_collate_fn() (in module super_gradients.training.utils.detection_utils)
base_forward() (super_gradients.training.models.laddernet.BaseNet method)
BaseNet (class in super_gradients.training.models.laddernet)
BaseSgVisionDataset (class in super_gradients.training.datasets.sg_dataset)
BasicBlock (class in super_gradients.training.models.laddernet)
(class in super_gradients.training.models.resnet)
(class in super_gradients.training.models.senet)
BasicConv2d (class in super_gradients.training.models.googlenet)
BasicDDRBackBone (class in super_gradients.training.models.ddrnet)
batch_intersection_union() (in module super_gradients.training.metrics.segmentation_metrics)
batch_pix_accuracy() (in module super_gradients.training.metrics.segmentation_metrics)
bbox_view() (super_gradients.training.models.ssd.SSD method)
bias (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
Block (class in super_gradients.training.models.mobilenet)
BlockArgs (class in super_gradients.training.models.efficientnet)
BlockDecoder (class in super_gradients.training.models.efficientnet)
BOLD (super_gradients.common.environment.env_helpers.TerminalColours attribute)
Bottleneck (class in super_gradients.training.models.csp_darknet53)
(class in super_gradients.training.models.dpn)
(class in super_gradients.training.models.laddernet)
(class in super_gradients.training.models.resnet)
(class in super_gradients.training.models.shufflenet)
BottleneckCSP (class in super_gradients.training.models.csp_darknet53)
box_candidates() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
box_iou() (in module super_gradients.training.utils.detection_utils)
brightness() (in module super_gradients.training.datasets.auto_augment)
build_data_loaders() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)
build_detection_targets() (in module super_gradients.training.utils.detection_utils)
build_efficientnet() (in module super_gradients.training.models.efficientnet)
build_model() (super_gradients.training.sg_model.sg_model.SgModel method)
build_optimizer() (in module super_gradients.training.utils.optimizer_utils)
build_targets() (super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss method)
C
C3 (class in super_gradients.training.models.csp_darknet53)
calc_batch_prediction_accuracy() (in module super_gradients.training.utils.detection_utils)
calc_batch_prediction_detection_metrics_per_class() (in module super_gradients.training.metrics.metric_utils)
calc_bbox_iou_matrix() (in module super_gradients.training.utils.detection_utils)
calculate_bbox_iou_elementwise() (in module super_gradients.training.utils.detection_utils)
calculate_bbox_iou_matrix() (in module super_gradients.training.utils.detection_utils)
calculate_output_image_size() (in module super_gradients.training.models.efficientnet)
calculate_wh_iou() (in module super_gradients.training.utils.detection_utils)
CallbackHandler (class in super_gradients.training.utils.callbacks)
CellA (class in super_gradients.training.models.pnasnet)
CellB (class in super_gradients.training.models.pnasnet)
cfg (super_gradients.training.models.mobilenet.MobileNet attribute)
change_bbox_bounds_for_image_size() (in module super_gradients.training.utils.detection_utils)
check_anchor_order() (in module super_gradients.training.utils.detection_utils)
check_img_size_divisibilty() (in module super_gradients.training.utils.detection_utils)
check_key_exists() (super_gradients.common.data_connection.s3_connector.S3Connector method)
check_models_have_same_weights() (in module super_gradients.training.utils.utils)
check_valid_arguments() (super_gradients.training.utils.segmentation_utils.CropImageAndMask method)
(super_gradients.training.utils.segmentation_utils.PadShortToCropSize method)
(super_gradients.training.utils.segmentation_utils.RandomRescale method)
(super_gradients.training.utils.segmentation_utils.RandomRotate method)
(super_gradients.training.utils.segmentation_utils.Rescale method)
Cifar100DatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
Cifar10DatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
CifarResNet (class in super_gradients.training.models.resnet)
CityscapesDataset (class in super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation)
CityscapesDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
CLASSIFICATION (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)
(super_gradients.training.datasets.all_datasets.SgLibraryDatasets attribute)
ClassificationDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
ClassificationTestDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
cleanup() (super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging method)
CoCo2014DetectionDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
CoCoDataSetInterfaceBase (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
COCODetectionDataSet (class in super_gradients.training.datasets.detection_datasets.coco_detection)
CoCoDetectionDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
CoCoSegmentationDataSet (class in super_gradients.training.datasets.segmentation_datasets.coco_segmentation)
CoCoSegmentationDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
CollateMixup (class in super_gradients.training.datasets.mixup)
color() (in module super_gradients.training.datasets.auto_augment)
ColouredTextFormatter (class in super_gradients.common.environment.env_helpers)
ComposedCollateFunction (class in super_gradients.training.datasets.datasets_utils)
compute() (super_gradients.training.metrics.classification_metrics.Top5 method)
(super_gradients.training.metrics.classification_metrics.ToyTestClassificationMetric method)
(super_gradients.training.metrics.detection_metrics.DetectionMetrics method)
(super_gradients.training.metrics.segmentation_metrics.PixelAccuracy method)
compute_ap() (in module super_gradients.training.metrics.detection_metrics)
compute_loss() (super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss method)
compute_model_runtime() (super_gradients.training.sg_model.sg_model.SgModel method)
compute_precise_bn_stats() (in module super_gradients.training.utils.distributed_training_utils)
Concat (class in super_gradients.training.models.yolov5)
concatenate_layer_output() (super_gradients.training.models.yolov3.TinyYoloV3 static method)
(super_gradients.training.models.yolov3.YoloV3 static method)
configure_elasticsearch_handler() (super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig static method)
confmat (super_gradients.training.metrics.segmentation_metrics.IoU attribute)
connect_dataset_interface() (super_gradients.training.sg_model.sg_model.SgModel method)
contrast() (in module super_gradients.training.datasets.auto_augment)
Conv (class in super_gradients.training.models.csp_darknet53)
conv1x1() (in module super_gradients.training.models.resnext)
Conv2dDynamicSamePadding (class in super_gradients.training.models.efficientnet)
Conv2dStaticSamePadding (class in super_gradients.training.models.efficientnet)
conv3x3() (in module super_gradients.training.models.laddernet)
(in module super_gradients.training.models.resnext)
conv_1x1_bn() (in module super_gradients.training.models.mobilenetv2)
(in module super_gradients.training.models.mobilenetv3)
conv_3x3_bn() (in module super_gradients.training.models.mobilenetv3)
conv_bn() (in module super_gradients.training.models.mobilenetv2)
(in module super_gradients.training.models.repvgg)
ConvBN() (in module super_gradients.training.models.ddrnet)
ConvBNReLU (class in super_gradients.training.models.shelfnet)
convert_content_length_to_mb() (super_gradients.common.data_connection.s3_connector.S3Connector static method)
convert_to_tensor() (in module super_gradients.training.utils.utils)
convert_xywh_bbox_to_xyxy() (in module super_gradients.training.utils.detection_utils)
convert_xyxy_bbox_to_xywh() (in module super_gradients.training.utils.detection_utils)
copy_attr() (in module super_gradients.training.utils.ema)
copy_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)
correct (super_gradients.training.metrics.classification_metrics.Accuracy attribute)
CosineLRCallback (class in super_gradients.training.utils.callbacks)
create_bucket() (super_gradients.common.data_connection.s3_connector.S3Connector method)
create_conv_module() (in module super_gradients.training.models.darknet53)
create_grids() (super_gradients.training.models.yolov3.YOLOLayer method)
create_modules_list() (super_gradients.training.models.yolov3.TinyYoloV3 method)
(super_gradients.training.models.yolov3.YoloV3 method)
create_presigned_download_url() (super_gradients.common.data_connection.s3_connector.S3Connector method)
create_presigned_upload_url() (super_gradients.common.data_connection.s3_connector.S3Connector method)
CropImageAndMask (class in super_gradients.training.utils.segmentation_utils)
cross_entropy() (in module super_gradients.training.losses.label_smoothing_cross_entropy_loss)
CSPDarknet53 (class in super_gradients.training.models.csp_darknet53)
current_environment_client (super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector attribute)
custom_mobile_net_v2() (in module super_gradients.training.models.mobilenetv2)
Custom_YoLoV5 (class in super_gradients.training.models.yolov5)
CustomizedDensnet() (in module super_gradients.training.models.densenet)
CustomizedEfficientnet() (in module super_gradients.training.models.efficientnet)
CustomizedResnet() (in module super_gradients.training.models.resnet)
CustomizedResnet50() (in module super_gradients.training.models.resnet)
CustomizedResnet50Cifar() (in module super_gradients.training.models.resnet)
CustomizedResnetCifar() (in module super_gradients.training.models.resnet)
CustomizedResNeXt() (in module super_gradients.training.models.resnext)
CustomizedShuffleNetV2 (class in super_gradients.training.models.shufflenetv2)
CustomRegNet (class in super_gradients.training.models.regnet)
cutmix_bbox_and_lam() (in module super_gradients.training.datasets.mixup)
cutout() (super_gradients.training.datasets.data_augmentation.DataAugmentation static method)
D
DAPPM (class in super_gradients.training.models.ddrnet)
DAPPMBranch (class in super_gradients.training.models.ddrnet)
Darknet53 (class in super_gradients.training.models.darknet53)
Darknet53Base (class in super_gradients.training.models.darknet53)
DarkResidualBlock (class in super_gradients.training.models.darknet53)
DATA_PARALLEL (super_gradients.training.sg_model.sg_model.MultiGPUMode attribute)
DataAugmentation (class in super_gradients.training.datasets.data_augmentation)
DatasetDataInterface (class in super_gradients.common.data_interface.dataset_data_interface)
DataSetDoesNotExistException
DatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
DatasetStatisticsTensorboardLogger (class in super_gradients.training.datasets.datasets_utils)
dboxes256_coco() (super_gradients.training.utils.ssd_utils.DefaultBoxes static method)
dboxes300_coco() (super_gradients.training.utils.ssd_utils.DefaultBoxes static method)
dboxes300_coco_from19() (super_gradients.training.utils.ssd_utils.DefaultBoxes static method)
DDRBackBoneBase (class in super_gradients.training.models.ddrnet)
DDRNet (class in super_gradients.training.models.ddrnet)
DDRNet23 (class in super_gradients.training.models.ddrnet)
DDRNet23Slim (class in super_gradients.training.models.ddrnet)
DDRNetCustom (class in super_gradients.training.models.ddrnet)
DDRNetLoss (class in super_gradients.training.losses.ddrnet_loss)
deci_class_logger() (in module super_gradients.common.decorators.deci_logger)
DECI_ENVIRONMENTS (super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector attribute)
deci_func_logger() (in module super_gradients.common.decorators.deci_logger)
DeciLabUploadCallback (class in super_gradients.training.utils.callbacks)
decode() (super_gradients.training.models.efficientnet.BlockDecoder static method)
decode_segmentation_mask() (super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation.PascalVOC2012SegmentationDataSet method)
Decoder (class in super_gradients.training.models.laddernet)
DecoderBase (class in super_gradients.training.models.shelfnet)
DecoderHW (class in super_gradients.training.models.shelfnet)
DecoderLW (class in super_gradients.training.models.shelfnet)
DeepLearningTask (class in super_gradients.common.data_types.enum.deep_learning_task)
DEFAULT_SUMMARY_PARAMS (super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger attribute)
DefaultBoxes (class in super_gradients.training.utils.ssd_utils)
delete_bucket() (super_gradients.common.data_connection.s3_connector.S3Connector method)
delete_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)
DenseNet (class in super_gradients.training.models.densenet)
densenet121() (in module super_gradients.training.models.densenet)
densenet161() (in module super_gradients.training.models.densenet)
densenet169() (in module super_gradients.training.models.densenet)
densenet201() (in module super_gradients.training.models.densenet)
DEPTH_ESTIMATION (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)
Detect (class in super_gradients.training.models.yolov5)
detection_layers_num (super_gradients.training.utils.detection_utils.Anchors property)
DetectionDataSet (class in super_gradients.training.datasets.detection_datasets.detection_dataset)
DetectionMetrics (class in super_gradients.training.metrics.detection_metrics)
DetectionPostPredictionCallback (class in super_gradients.training.utils.detection_utils)
DetectionTestDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
DetectionVisualization (class in super_gradients.training.utils.detection_utils)
dilation (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
DirectoryDataSet (class in super_gradients.training.datasets.sg_dataset)
distributed_all_reduce_tensor_average() (in module super_gradients.training.utils.distributed_training_utils)
DISTRIBUTED_DATA_PARALLEL (super_gradients.training.sg_model.sg_model.MultiGPUMode attribute)
download_file_by_path() (super_gradients.common.data_connection.s3_connector.S3Connector method)
download_from_cloud() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)
download_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)
download_keys_by_prefix() (super_gradients.common.data_connection.s3_connector.S3Connector method)
DPN (class in super_gradients.training.models.dpn)
DPN26() (in module super_gradients.training.models.dpn)
DPN92() (in module super_gradients.training.models.dpn)
drop_connect() (in module super_gradients.training.models.efficientnet)
DropPath (class in super_gradients.training.utils.regularization_utils)
E
EarlyStop (class in super_gradients.training.utils.early_stopping)
EfficientNet (class in super_gradients.training.models.efficientnet)
empty_folder_content_by_path_prefix() (super_gradients.common.data_connection.s3_connector.S3Connector method)
EmptyCoCoClassesSelectionException
encode() (super_gradients.training.models.efficientnet.BlockDecoder static method)
ENDC (super_gradients.common.environment.env_helpers.TerminalColours attribute)
equalize() (in module super_gradients.training.datasets.auto_augment)
evaluate() (super_gradients.training.sg_model.sg_model.SgModel method)
EvaluationType (class in super_gradients.training.sg_model.sg_model)
exif_size() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
expand_ratio (super_gradients.training.models.efficientnet.BlockArgs property)
expansion (super_gradients.training.models.laddernet.BasicBlock attribute)
(super_gradients.training.models.laddernet.Bottleneck attribute)
(super_gradients.training.models.laddernet.LadderBottleneck attribute)
(super_gradients.training.models.preact_resnet.PreActBlock attribute)
(super_gradients.training.models.preact_resnet.PreActBottleneck attribute)
(super_gradients.training.models.resnext.GroupedConvBlock attribute)
explicit_params_validation() (in module super_gradients.common.decorators.explicit_params_validator)
ExportableHardswish (class in super_gradients.training.utils.export_utils)
ExternalDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
extract_features() (super_gradients.training.models.efficientnet.EfficientNet method)
F
FAIL (super_gradients.common.environment.env_helpers.TerminalColours attribute)
FCNHead (class in super_gradients.training.models.laddernet)
(class in super_gradients.training.models.shelfnet)
Final_LadderBlock (class in super_gradients.training.models.laddernet)
flatten_metrics_dict() (in module super_gradients.training.metrics.metric_utils)
FocalLoss (class in super_gradients.training.losses.focal_loss)
Focus (class in super_gradients.training.models.csp_darknet53)
format_time() (in module super_gradients.training.legacy.utils)
forward() (super_gradients.training.datasets.datasets_utils.RandomResizedCropAndInterpolation method)
(super_gradients.training.losses.ddrnet_loss.DDRNetLoss method)
(super_gradients.training.losses.focal_loss.FocalLoss method)
(super_gradients.training.losses.label_smoothing_cross_entropy_loss.LabelSmoothingCrossEntropyLoss method)
(super_gradients.training.losses.ohem_ce_loss.OhemCELoss method)
(super_gradients.training.losses.r_squared_loss.RSquaredLoss method)
(super_gradients.training.losses.shelfnet_ohem_loss.ShelfNetOHEMLoss method)
(super_gradients.training.losses.shelfnet_semantic_encoding_loss.ShelfNetSemanticEncodingLoss method)
(super_gradients.training.losses.ssd_loss.SSDLoss method)
(super_gradients.training.losses.yolo_v3_loss.YoLoV3DetectionLoss method)
(super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss method)
(super_gradients.training.models.csp_darknet53.Bottleneck method)
(super_gradients.training.models.csp_darknet53.BottleneckCSP method)
(super_gradients.training.models.csp_darknet53.C3 method)
(super_gradients.training.models.csp_darknet53.Conv method)
(super_gradients.training.models.csp_darknet53.CSPDarknet53 method)
(super_gradients.training.models.csp_darknet53.Focus method)
(super_gradients.training.models.csp_darknet53.SPP method)
(super_gradients.training.models.csp_darknet53.SPPF method)
(super_gradients.training.models.csp_darknet53.ViewModule method)
(super_gradients.training.models.darknet53.Darknet53 method)
(super_gradients.training.models.darknet53.Darknet53Base method)
(super_gradients.training.models.darknet53.DarkResidualBlock method)
(super_gradients.training.models.darknet53.ViewModule method)
(super_gradients.training.models.ddrnet.DAPPM method)
(super_gradients.training.models.ddrnet.DAPPMBranch method)
(super_gradients.training.models.ddrnet.DDRNet method)
(super_gradients.training.models.ddrnet.SegmentHead method)
(super_gradients.training.models.ddrnet.UpscaleOnline method)
(super_gradients.training.models.densenet.DenseNet method)
(super_gradients.training.models.dpn.Bottleneck method)
(super_gradients.training.models.dpn.DPN method)
(super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding method)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding method)
(super_gradients.training.models.efficientnet.EfficientNet method)
(super_gradients.training.models.efficientnet.Identity method)
(super_gradients.training.models.efficientnet.MBConvBlock method)
(super_gradients.training.models.googlenet.BasicConv2d method)
(super_gradients.training.models.googlenet.GoogLeNet method)
(super_gradients.training.models.googlenet.Inception method)
(super_gradients.training.models.googlenet.InceptionAux method)
(super_gradients.training.models.laddernet.BasicBlock method)
(super_gradients.training.models.laddernet.Bottleneck method)
(super_gradients.training.models.laddernet.Decoder method)
(super_gradients.training.models.laddernet.FCNHead method)
(super_gradients.training.models.laddernet.Final_LadderBlock method)
(super_gradients.training.models.laddernet.Initial_LadderBlock method)
(super_gradients.training.models.laddernet.LadderBlock method)
(super_gradients.training.models.laddernet.LadderBottleneck method)
(super_gradients.training.models.laddernet.LadderHead method)
(super_gradients.training.models.laddernet.LadderNet method)
(super_gradients.training.models.laddernet.LadderResNet method)
(super_gradients.training.models.lenet.LeNet method)
(super_gradients.training.models.mobilenet.Block method)
(super_gradients.training.models.mobilenet.MobileNet method)
(super_gradients.training.models.mobilenetv2.InvertedResidual method)
(super_gradients.training.models.mobilenetv2.MobileNetV2 method)
(super_gradients.training.models.mobilenetv3.h_sigmoid method)
(super_gradients.training.models.mobilenetv3.h_swish method)
(super_gradients.training.models.mobilenetv3.InvertedResidual method)
(super_gradients.training.models.mobilenetv3.MobileNetV3 method)
(super_gradients.training.models.mobilenetv3.SELayer method)
(super_gradients.training.models.pnasnet.CellA method)
(super_gradients.training.models.pnasnet.CellB method)
(super_gradients.training.models.pnasnet.PNASNet method)
(super_gradients.training.models.pnasnet.SepConv method)
(super_gradients.training.models.preact_resnet.PreActBlock method)
(super_gradients.training.models.preact_resnet.PreActBottleneck method)
(super_gradients.training.models.preact_resnet.PreActResNet method)
(super_gradients.training.models.regnet.AnyNetX method)
(super_gradients.training.models.regnet.Head method)
(super_gradients.training.models.regnet.Stage method)
(super_gradients.training.models.regnet.Stem method)
(super_gradients.training.models.regnet.XBlock method)
(super_gradients.training.models.repvgg.RepVGG method)
(super_gradients.training.models.repvgg.RepVGGBlock method)
(super_gradients.training.models.repvgg.SEBlock method)
(super_gradients.training.models.resnet.BasicBlock method)
(super_gradients.training.models.resnet.Bottleneck method)
(super_gradients.training.models.resnet.CifarResNet method)
(super_gradients.training.models.resnet.ResNet method)
(super_gradients.training.models.resnext.GroupedConvBlock method)
(super_gradients.training.models.resnext.ResNeXt method)
(super_gradients.training.models.senet.BasicBlock method)
(super_gradients.training.models.senet.PreActBlock method)
(super_gradients.training.models.senet.SENet method)
(super_gradients.training.models.shelfnet.AttentionRefinementModule method)
(super_gradients.training.models.shelfnet.ConvBNReLU method)
(super_gradients.training.models.shelfnet.DecoderBase method)
(super_gradients.training.models.shelfnet.DecoderHW method)
(super_gradients.training.models.shelfnet.DecoderLW method)
(super_gradients.training.models.shelfnet.FCNHead method)
(super_gradients.training.models.shelfnet.LadderBlockBase method)
(super_gradients.training.models.shelfnet.LadderBlockHW method)
(super_gradients.training.models.shelfnet.LadderBlockLW method)
(super_gradients.training.models.shelfnet.NetOutput method)
(super_gradients.training.models.shelfnet.ShelfBlock method)
(super_gradients.training.models.shelfnet.ShelfNetBase method)
(super_gradients.training.models.shelfnet.ShelfNetHW method)
(super_gradients.training.models.shelfnet.ShelfNetLW method)
(super_gradients.training.models.shelfnet.ShelfNetModuleBase method)
(super_gradients.training.models.shelfnet.ShelfResNetBackBone method)
(super_gradients.training.models.shufflenet.Bottleneck method)
(super_gradients.training.models.shufflenet.ShuffleBlock method)
(super_gradients.training.models.shufflenet.ShuffleNet method)
(super_gradients.training.models.shufflenetv2.ShuffleNetV2Base method)
(super_gradients.training.models.ssd.SSD method)
(super_gradients.training.models.vgg.VGG method)
(super_gradients.training.models.yolov3.SPPLayer method)
(super_gradients.training.models.yolov3.Upsample method)
(super_gradients.training.models.yolov3.YOLOLayer method)
(super_gradients.training.models.yolov3.YoloV3 method)
(super_gradients.training.models.yolov5.AbstractYoLoV5Backbone method)
(super_gradients.training.models.yolov5.Concat method)
(super_gradients.training.models.yolov5.Detect method)
(super_gradients.training.models.yolov5.YoLoV5Base method)
(super_gradients.training.models.yolov5.YoLoV5DarknetBackbone method)
(super_gradients.training.models.yolov5.YoLoV5Head method)
(super_gradients.training.models.yolov5.YoloV5PostPredictionCallback method)
(super_gradients.training.utils.detection_utils.DetectionPostPredictionCallback method)
(super_gradients.training.utils.detection_utils.YoloV3NonMaxSuppression method)
(super_gradients.training.utils.export_utils.ExportableHardswish static method)
(super_gradients.training.utils.module_utils.MultiOutputModule method)
(super_gradients.training.utils.regularization_utils.DropPath method)
(super_gradients.training.utils.ssd_utils.SSDPostPredictCallback method)
(super_gradients.training.utils.utils.WrappedModel method)
FunctionLRCallback (class in super_gradients.training.utils.callbacks)
fuse_block_residual_branches() (super_gradients.training.models.repvgg.RepVGGBlock method)
fuse_conv_and_bn() (in module super_gradients.training.utils.detection_utils)
fuse_conv_bn() (in module super_gradients.training.utils.export_utils)
fuse_repvgg_blocks_residual_branches() (in module super_gradients.training.utils.module_utils)
fuseforward() (super_gradients.training.models.csp_darknet53.Conv method)
G
generate_config_for_module_name() (super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig static method)
get_all_available_datasets() (super_gradients.training.datasets.all_datasets.SgLibraryDatasets static method)
get_arch_params() (super_gradients.training.sg_model.sg_model.SgModel method)
get_architecture() (super_gradients.training.sg_model.sg_model.SgModel method)
get_average_model() (super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging method)
get_aws_client_for_service_name() (super_gradients.common.aws_connection.aws_connector.AWSConnector static method)
get_aws_resource_for_service_name() (super_gradients.common.aws_connection.aws_connector.AWSConnector static method)
get_aws_session() (super_gradients.common.aws_connection.aws_connector.AWSConnector static method)
get_backbone_output_number_of_channels() (super_gradients.training.models.ddrnet.DDRBackBoneBase method)
get_ckpt_local_path() (in module super_gradients.training.utils.checkpoint_utils)
get_color_augmentation() (in module super_gradients.training.datasets.datasets_utils)
get_data_loaders() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)
(super_gradients.training.datasets.dataset_interfaces.dataset_interface.ExternalDatasetInterface method)
(super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface method)
get_dataset() (super_gradients.training.datasets.all_datasets.SgLibraryDatasets static method)
get_dataset_params() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)
get_environ_as_type() (in module super_gradients.common.environment.env_helpers)
get_exclude_attributes() (super_gradients.training.models.sg_module.SgModule method)
get_filename_suffix_by_framework() (in module super_gradients.training.utils.utils)
get_include_attributes() (super_gradients.training.models.sg_module.SgModule method)
(super_gradients.training.models.yolov5.YoLoV5Base method)
get_logger() (in module super_gradients.common.abstractions.abstract_logger)
get_logging_values() (in module super_gradients.training.metrics.metric_utils)
get_mean_and_std() (in module super_gradients.training.datasets.datasets_utils)
get_mean_and_std_torch() (in module super_gradients.training.datasets.datasets_utils)
get_metrics_dict() (in module super_gradients.training.metrics.metric_utils)
get_metrics_results_tuple() (in module super_gradients.training.metrics.metric_utils)
get_metrics_titles() (in module super_gradients.training.metrics.metric_utils)
get_module() (super_gradients.training.sg_model.sg_model.SgModel method)
get_modules_list() (super_gradients.training.models.darknet53.Darknet53 method)
get_object_by_etag() (super_gradients.common.data_connection.s3_connector.S3Connector method)
get_object_metadata() (super_gradients.common.data_connection.s3_connector.S3Connector method)
get_param() (in module super_gradients.training.utils.utils)
get_params() (super_gradients.training.models.shelfnet.ShelfNetModuleBase method)
get_same_padding_conv2d() (in module super_gradients.training.models.efficientnet)
get_secret_value_for_secret_key (super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector attribute)
get_secret_values_dict_for_secret_key_properties (super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector attribute)
get_structure() (super_gradients.training.sg_model.sg_model.SgModel method)
get_train_ids_color_palette() (super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation.CityscapesDataset method)
get_train_loop_description_dict() (in module super_gradients.training.metrics.metric_utils)
get_val_sample() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)
get_yolo_layers_indices() (super_gradients.training.models.yolov3.YoloV3 method)
GoogLeNet (class in super_gradients.training.models.googlenet)
googlenet_v1() (in module super_gradients.training.models.googlenet)
GoogLeNetOutputs (class in super_gradients.training.models.googlenet)
GroupedConvBlock (class in super_gradients.training.models.resnext)
groups (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
H
h_sigmoid (class in super_gradients.training.models.mobilenetv3)
h_swish (class in super_gradients.training.models.mobilenetv3)
Head (class in super_gradients.training.models.regnet)
HEADER (super_gradients.common.environment.env_helpers.TerminalColours attribute)
HpmStruct (class in super_gradients.training.utils.utils)
I
id_skip (super_gradients.training.models.efficientnet.BlockArgs property)
Identity (class in super_gradients.training.models.efficientnet)
ignore_index (super_gradients.training.losses.label_smoothing_cross_entropy_loss.LabelSmoothingCrossEntropyLoss attribute)
(super_gradients.training.losses.shelfnet_semantic_encoding_loss.ShelfNetSemanticEncodingLoss attribute)
IllegalDatasetParameterException
IllegalLRSchedulerMetric
ILogger (class in super_gradients.common.abstractions.abstract_logger)
ImageNetDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
Inception (class in super_gradients.training.models.googlenet)
InceptionAux (class in super_gradients.training.models.googlenet)
init_log_file() (in module super_gradients.training.utils.sg_model_utils)
init_params() (in module super_gradients.training.legacy.utils)
init_summary_writer() (in module super_gradients.training.utils.sg_model_utils)
init_trainer() (in module super_gradients.common.environment.env_helpers)
init_weight() (super_gradients.training.models.shelfnet.AttentionRefinementModule method)
(super_gradients.training.models.shelfnet.ConvBNReLU method)
(super_gradients.training.models.shelfnet.NetOutput method)
Initial_LadderBlock (class in super_gradients.training.models.laddernet)
initialize_param_groups() (super_gradients.training.models.sg_module.SgModule method)
(super_gradients.training.models.shelfnet.ShelfNetHW method)
(super_gradients.training.models.shelfnet.ShelfNetLW method)
(super_gradients.training.models.yolov3.YoloV3 method)
(super_gradients.training.models.yolov5.YoLoV5Base method)
initialize_weight() (super_gradients.training.models.regnet.AnyNetX method)
input_filters (super_gradients.training.models.efficientnet.BlockArgs property)
intersection_and_union() (in module super_gradients.training.metrics.segmentation_metrics)
invert() (in module super_gradients.training.datasets.auto_augment)
InvertedResidual (class in super_gradients.training.models.mobilenetv2)
(class in super_gradients.training.models.mobilenetv3)
IoU (class in super_gradients.training.metrics.segmentation_metrics)
IouThreshold (class in super_gradients.training.utils.detection_utils)
is_better() (in module super_gradients.training.legacy.utils)
is_client_error() (super_gradients.common.aws_connection.aws_connector.AWSConnector static method)
is_distributed() (in module super_gradients.common.environment.env_helpers)
is_range() (super_gradients.training.utils.detection_utils.IouThreshold method)
ITERATIVE (super_gradients.training.utils.detection_utils.NMS_Type attribute)
K
kernel_size (super_gradients.training.models.efficientnet.BlockArgs property)
(super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
KeyNotExistInBucketError
L
l2() (in module super_gradients.training.models.efficientnet)
LabelSmoothingCrossEntropyLoss (class in super_gradients.training.losses.label_smoothing_cross_entropy_loss)
LadderBlock (class in super_gradients.training.models.laddernet)
LadderBlockBase (class in super_gradients.training.models.shelfnet)
LadderBlockHW (class in super_gradients.training.models.shelfnet)
LadderBlockLW (class in super_gradients.training.models.shelfnet)
LadderBottleneck (class in super_gradients.training.models.laddernet)
LadderHead (class in super_gradients.training.models.laddernet)
LadderNet (class in super_gradients.training.models.laddernet)
LadderNet101 (class in super_gradients.training.models.laddernet)
LadderNet50 (class in super_gradients.training.models.laddernet)
LadderNet503433 (class in super_gradients.training.models.laddernet)
LadderNetBackBone101 (class in super_gradients.training.models.laddernet)
LadderNetBackBone50 (class in super_gradients.training.models.laddernet)
LadderNetBackBone503433 (class in super_gradients.training.models.laddernet)
LadderResNet (class in super_gradients.training.models.laddernet)
launch_tensorboard_process() (in module super_gradients.training.utils.sg_model_utils)
LeNet (class in super_gradients.training.models.lenet)
letterbox() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
LibraryDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
Lighting (class in super_gradients.training.datasets.data_augmentation)
list_bucket_objects() (super_gradients.common.data_connection.s3_connector.S3Connector method)
ListDataset (class in super_gradients.training.datasets.sg_dataset)
load_all_remote_log_files() (super_gradients.common.data_interface.adnn_model_repository_data_interface.ADNNModelRepositoryDataInterfaces method)
load_checkpoint_to_model() (in module super_gradients.training.utils.checkpoint_utils)
load_func() (in module super_gradients.training.utils.utils)
load_mosaic() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet method)
load_pretrained_weights() (in module super_gradients.training.utils.checkpoint_utils)
load_remote_checkpoints_file() (super_gradients.common.data_interface.adnn_model_repository_data_interface.ADNNModelRepositoryDataInterfaces method)
load_remote_dataset_file() (super_gradients.common.data_interface.dataset_data_interface.DatasetDataInterface method)
load_remote_logging_files() (super_gradients.common.data_interface.adnn_model_repository_data_interface.ADNNModelRepositoryDataInterfaces method)
load_state_dict() (super_gradients.training.models.efficientnet.EfficientNet method)
(super_gradients.training.models.googlenet.GoogLeNet method)
(super_gradients.training.models.resnet.ResNet method)
(super_gradients.training.models.shufflenetv2.ShuffleNetV2Base method)
(super_gradients.training.models.yolov5.YoLoV5Base method)
log_ (super_gradients.training.models.googlenet.GoogLeNetOutputs property)
log_uncaught_exceptions() (in module super_gradients.training.utils.sg_model_utils)
logger (super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger attribute)
(super_gradients.training.utils.detection_utils.AnchorGenerator attribute)
LRCallbackBase (class in super_gradients.training.utils.callbacks)
LRSchedulerCallback (class in super_gradients.training.utils.callbacks)
M
make_divisible() (in module super_gradients.training.models.mobilenetv2)
(in module super_gradients.training.utils.detection_utils)
makedirs_if_not_exists() (in module super_gradients.training.legacy.utils)
MAP_05 (super_gradients.training.utils.detection_utils.IouThreshold attribute)
MAP_05_TO_095 (super_gradients.training.utils.detection_utils.IouThreshold attribute)
match_dboxes() (super_gradients.training.losses.ssd_loss.SSDLoss method)
MATRIX (super_gradients.training.utils.detection_utils.NMS_Type attribute)
matrix_non_max_suppression() (in module super_gradients.training.utils.detection_utils)
MBConvBlock (class in super_gradients.training.models.efficientnet)
MetricsUpdateCallback (class in super_gradients.training.utils.callbacks)
MissingMonitorKeyException
MissingPretrainedWeightsException
mixup_target() (in module super_gradients.training.datasets.mixup)
mobile_net_v2() (in module super_gradients.training.models.mobilenetv2)
mobile_net_v2_135() (in module super_gradients.training.models.mobilenetv2)
MobileNet (class in super_gradients.training.models.mobilenet)
MobileNetV2 (class in super_gradients.training.models.mobilenetv2)
MobileNetV3 (class in super_gradients.training.models.mobilenetv3)
mobilenetv3_custom() (in module super_gradients.training.models.mobilenetv3)
mobilenetv3_large() (in module super_gradients.training.models.mobilenetv3)
mobilenetv3_small() (in module super_gradients.training.models.mobilenetv3)
mode_dict (super_gradients.training.utils.early_stopping.EarlyStop attribute)
ModelCheckpointNotFoundException
ModelConversionCheckCallback (class in super_gradients.training.utils.callbacks)
ModelEMA (class in super_gradients.training.utils.ema)
ModelWeightAveraging (class in super_gradients.training.utils.weight_averaging_utils)
module
super_gradients
super_gradients.common
super_gradients.common.abstractions
super_gradients.common.abstractions.abstract_logger
super_gradients.common.auto_logging
super_gradients.common.auto_logging.auto_logger
super_gradients.common.aws_connection
super_gradients.common.aws_connection.aws_connector
super_gradients.common.aws_connection.aws_secrets_manager_connector
super_gradients.common.data_connection
super_gradients.common.data_connection.s3_connector
super_gradients.common.data_interface
super_gradients.common.data_interface.adnn_model_repository_data_interface
super_gradients.common.data_interface.dataset_data_interface
super_gradients.common.data_types
super_gradients.common.data_types.enum
super_gradients.common.data_types.enum.deep_learning_task
super_gradients.common.decorators
super_gradients.common.decorators.deci_logger
super_gradients.common.decorators.explicit_params_validator
super_gradients.common.decorators.singleton
super_gradients.common.environment
super_gradients.common.environment.env_helpers
super_gradients.common.environment.environment_config
super_gradients.training
super_gradients.training.datasets
super_gradients.training.datasets.all_datasets
super_gradients.training.datasets.auto_augment
super_gradients.training.datasets.classification_datasets
super_gradients.training.datasets.data_augmentation
super_gradients.training.datasets.dataset_interfaces
super_gradients.training.datasets.dataset_interfaces.dataset_interface
super_gradients.training.datasets.datasets_conf
super_gradients.training.datasets.datasets_utils
super_gradients.training.datasets.detection_datasets
super_gradients.training.datasets.detection_datasets.coco_detection
super_gradients.training.datasets.detection_datasets.detection_dataset
super_gradients.training.datasets.detection_datasets.pascal_voc_detection
super_gradients.training.datasets.mixup
super_gradients.training.datasets.segmentation_datasets
super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation
super_gradients.training.datasets.segmentation_datasets.coco_segmentation
super_gradients.training.datasets.segmentation_datasets.pascal_aug_segmentation
super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation
super_gradients.training.datasets.segmentation_datasets.segmentation_dataset
super_gradients.training.datasets.sg_dataset
super_gradients.training.exceptions
super_gradients.training.exceptions.dataset_exceptions
super_gradients.training.exceptions.sg_model_exceptions
super_gradients.training.legacy
super_gradients.training.legacy.utils
super_gradients.training.losses
super_gradients.training.losses.all_losses
super_gradients.training.losses.ddrnet_loss
super_gradients.training.losses.focal_loss
super_gradients.training.losses.label_smoothing_cross_entropy_loss
super_gradients.training.losses.ohem_ce_loss
super_gradients.training.losses.r_squared_loss
super_gradients.training.losses.shelfnet_ohem_loss
super_gradients.training.losses.shelfnet_semantic_encoding_loss
super_gradients.training.losses.ssd_loss
super_gradients.training.losses.yolo_v3_loss
super_gradients.training.losses.yolo_v5_loss
super_gradients.training.metrics
super_gradients.training.metrics.classification_metrics
super_gradients.training.metrics.detection_metrics
super_gradients.training.metrics.metric_utils
super_gradients.training.metrics.segmentation_metrics
super_gradients.training.models
super_gradients.training.models.all_architectures
super_gradients.training.models.csp_darknet53
super_gradients.training.models.darknet53
super_gradients.training.models.ddrnet
super_gradients.training.models.densenet
super_gradients.training.models.dpn
super_gradients.training.models.efficientnet
super_gradients.training.models.googlenet
super_gradients.training.models.laddernet
super_gradients.training.models.lenet
super_gradients.training.models.mobilenet
super_gradients.training.models.mobilenetv2
super_gradients.training.models.mobilenetv3
super_gradients.training.models.pnasnet
super_gradients.training.models.preact_resnet
super_gradients.training.models.regnet
super_gradients.training.models.repvgg
super_gradients.training.models.resnet
super_gradients.training.models.resnext
super_gradients.training.models.senet
super_gradients.training.models.sg_module
super_gradients.training.models.shelfnet
super_gradients.training.models.shufflenet
super_gradients.training.models.shufflenetv2
super_gradients.training.models.ssd
super_gradients.training.models.vgg
super_gradients.training.models.yolov3
super_gradients.training.models.yolov5
super_gradients.training.params
super_gradients.training.pretrained_models
super_gradients.training.sg_model
super_gradients.training.sg_model.sg_model
super_gradients.training.utils
super_gradients.training.utils.callbacks
super_gradients.training.utils.checkpoint_utils
super_gradients.training.utils.detection_utils
super_gradients.training.utils.distributed_training_utils
super_gradients.training.utils.early_stopping
super_gradients.training.utils.ema
super_gradients.training.utils.export_utils
super_gradients.training.utils.module_utils
super_gradients.training.utils.optimizer_utils
super_gradients.training.utils.optimizers
super_gradients.training.utils.optimizers.rmsprop_tf
super_gradients.training.utils.regularization_utils
super_gradients.training.utils.segmentation_utils
super_gradients.training.utils.sg_model_utils
super_gradients.training.utils.ssd_utils
super_gradients.training.utils.utils
super_gradients.training.utils.weight_averaging_utils
move_state_dict_to_device() (in module super_gradients.training.utils.utils)
MultiGPUMode (class in super_gradients.training.sg_model.sg_model)
MultiGPUModeAutocastWrapper (class in super_gradients.training.utils.distributed_training_utils)
MultiOutputModule (class in super_gradients.training.utils.module_utils)
MultiScaleCollateFunction (class in super_gradients.training.datasets.datasets_utils)
N
named_sequential_module() (super_gradients.training.models.yolov3.YoloV3 static method)
NASRegNet (class in super_gradients.training.models.regnet)
NetOutput (class in super_gradients.training.models.shelfnet)
NLP (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)
NMS_Type (class in super_gradients.training.utils.detection_utils)
NO_KEY_MATCHING (super_gradients.training.sg_model.sg_model.StrictLoad attribute)
non_max_suppression() (in module super_gradients.training.utils.detection_utils)
normalize() (super_gradients.training.datasets.data_augmentation.DataAugmentation static method)
num_anchors (super_gradients.training.utils.detection_utils.Anchors property)
num_repeat (super_gradients.training.models.efficientnet.BlockArgs property)
NumClassesMissingException
numpy_loader_func() (super_gradients.training.datasets.sg_dataset.BaseSgVisionDataset static method)
O
OBJECT_DETECTION (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)
(super_gradients.training.datasets.all_datasets.SgLibraryDatasets attribute)
OFF (super_gradients.training.sg_model.sg_model.MultiGPUMode attribute)
(super_gradients.training.sg_model.sg_model.StrictLoad attribute)
OhemCELoss (class in super_gradients.training.losses.ohem_ce_loss)
OKBLUE (super_gradients.common.environment.env_helpers.TerminalColours attribute)
OKCYAN (super_gradients.common.environment.env_helpers.TerminalColours attribute)
OKGREEN (super_gradients.common.environment.env_helpers.TerminalColours attribute)
ON (super_gradients.training.sg_model.sg_model.StrictLoad attribute)
one_hot() (in module super_gradients.training.datasets.mixup)
onehot() (in module super_gradients.training.losses.label_smoothing_cross_entropy_loss)
OTHER (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)
out_channels (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
output_filters (super_gradients.training.models.efficientnet.BlockArgs property)
output_padding (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
override() (super_gradients.training.params.TrainingParams method)
(super_gradients.training.utils.utils.HpmStruct method)
P
padding (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
padding_mode (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
PadShortToCropSize (class in super_gradients.training.utils.segmentation_utils)
parse_xml_file() (super_gradients.training.datasets.detection_datasets.pascal_voc_detection.PascalVOC2012DetectionDataSet method)
PascalAUG2012SegmentationDataSet (class in super_gradients.training.datasets.segmentation_datasets.pascal_aug_segmentation)
PascalAUG2012SegmentationDataSetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
PascalVOC2012DetectionDataSet (class in super_gradients.training.datasets.detection_datasets.pascal_voc_detection)
PascalVOC2012DetectionDataSetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
PascalVOC2012SegmentationDataSet (class in super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation)
PascalVOC2012SegmentationDataSetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
Phase (class in super_gradients.training.utils.callbacks)
PhaseCallback (class in super_gradients.training.utils.callbacks)
PhaseContext (class in super_gradients.training.utils.callbacks)
PhaseContextTestCallback (class in super_gradients.training.utils.callbacks)
pixel_accuracy() (in module super_gradients.training.metrics.segmentation_metrics)
PixelAccuracy (class in super_gradients.training.metrics.segmentation_metrics)
plot_coco_datasaet_images_with_detections() (in module super_gradients.training.utils.detection_utils)
PNASNet (class in super_gradients.training.models.pnasnet)
PNASNetA() (in module super_gradients.training.models.pnasnet)
PNASNetB() (in module super_gradients.training.models.pnasnet)
PolyLRCallback (class in super_gradients.training.utils.callbacks)
POSE_ESTIMATION (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)
POST_TRAINING (super_gradients.training.utils.callbacks.Phase attribute)
posterize() (in module super_gradients.training.datasets.auto_augment)
PRE_TRAINING (super_gradients.training.utils.callbacks.Phase attribute)
PreActBlock (class in super_gradients.training.models.preact_resnet)
(class in super_gradients.training.models.senet)
PreActBottleneck (class in super_gradients.training.models.preact_resnet)
PreActResNet (class in super_gradients.training.models.preact_resnet)
PreActResNet101() (in module super_gradients.training.models.preact_resnet)
PreActResNet152() (in module super_gradients.training.models.preact_resnet)
PreActResNet18() (in module super_gradients.training.models.preact_resnet)
PreActResNet34() (in module super_gradients.training.models.preact_resnet)
PreActResNet50() (in module super_gradients.training.models.preact_resnet)
predict() (super_gradients.training.sg_model.sg_model.SgModel method)
prefetch_dataset() (in module super_gradients.training.legacy.utils)
PrefetchDataLoader (class in super_gradients.training.legacy.utils)
prep_model_for_conversion() (super_gradients.training.models.repvgg.RepVGG method)
(super_gradients.training.models.sg_module.SgModule method)
(super_gradients.training.models.yolov3.YoloV3 method)
(super_gradients.training.models.yolov5.YoLoV5Base method)
print_coloured_text() (super_gradients.common.environment.env_helpers.ColouredTextFormatter static method)
print_dataset_details() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)
print_once() (in module super_gradients.training.utils.utils)
R
raise_informative_runtime_error() (in module super_gradients.training.utils.checkpoint_utils)
rand_augment_ops() (in module super_gradients.training.datasets.auto_augment)
rand_augment_transform() (in module super_gradients.training.datasets.auto_augment)
rand_bbox() (in module super_gradients.training.datasets.mixup)
rand_bbox_minmax() (in module super_gradients.training.datasets.mixup)
RandAugment (class in super_gradients.training.datasets.auto_augment)
random_perspective() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet method)
random_seed() (in module super_gradients.training.utils.utils)
RandomErase (class in super_gradients.training.datasets.data_augmentation)
RandomFlip (class in super_gradients.training.utils.segmentation_utils)
RandomGaussianBlur (class in super_gradients.training.utils.segmentation_utils)
RandomRescale (class in super_gradients.training.utils.segmentation_utils)
RandomResizedCropAndInterpolation (class in super_gradients.training.datasets.datasets_utils)
RandomRotate (class in super_gradients.training.utils.segmentation_utils)
re_build_model() (super_gradients.training.sg_model.sg_model.SgModel method)
read_ckpt_state_dict() (in module super_gradients.training.utils.checkpoint_utils)
reduce_results_tuple_for_ddp() (in module super_gradients.training.utils.distributed_training_utils)
reduction (super_gradients.training.losses.ddrnet_loss.DDRNetLoss attribute)
(super_gradients.training.losses.focal_loss.FocalLoss attribute)
(super_gradients.training.losses.ohem_ce_loss.OhemCELoss attribute)
(super_gradients.training.losses.r_squared_loss.RSquaredLoss attribute)
(super_gradients.training.losses.shelfnet_ohem_loss.ShelfNetOHEMLoss attribute)
(super_gradients.training.losses.ssd_loss.SSDLoss attribute)
(super_gradients.training.losses.yolo_v3_loss.YoLoV3DetectionLoss attribute)
(super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss attribute)
RegnetDDRBackBone (class in super_gradients.training.models.ddrnet)
RegNetX (class in super_gradients.training.models.regnet)
RegNetY (class in super_gradients.training.models.regnet)
RegNetY200 (class in super_gradients.training.models.regnet)
RegNetY400 (class in super_gradients.training.models.regnet)
RegNetY600 (class in super_gradients.training.models.regnet)
RegNetY800 (class in super_gradients.training.models.regnet)
replace_activations() (in module super_gradients.training.utils.module_utils)
RepVGG (class in super_gradients.training.models.repvgg)
RepVggA0 (class in super_gradients.training.models.repvgg)
RepVggA1 (class in super_gradients.training.models.repvgg)
RepVggA2 (class in super_gradients.training.models.repvgg)
RepVggB0 (class in super_gradients.training.models.repvgg)
RepVggB1 (class in super_gradients.training.models.repvgg)
RepVggB2 (class in super_gradients.training.models.repvgg)
RepVggB3 (class in super_gradients.training.models.repvgg)
RepVGGBlock (class in super_gradients.training.models.repvgg)
RepVggCustom (class in super_gradients.training.models.repvgg)
RepVggD2SE (class in super_gradients.training.models.repvgg)
Rescale (class in super_gradients.training.utils.segmentation_utils)
rescale_bboxes_for_image_size() (in module super_gradients.training.utils.detection_utils)
ResNet (class in super_gradients.training.models.resnet)
ResNet101() (in module super_gradients.training.models.resnet)
ResNet152() (in module super_gradients.training.models.resnet)
ResNet18() (in module super_gradients.training.models.resnet)
ResNet18Cifar() (in module super_gradients.training.models.resnet)
ResNet34() (in module super_gradients.training.models.resnet)
ResNet50() (in module super_gradients.training.models.resnet)
ResNet50_3343() (in module super_gradients.training.models.resnet)
ResNeXt (class in super_gradients.training.models.resnext)
ResNeXt101() (in module super_gradients.training.models.resnext)
ResNeXt50() (in module super_gradients.training.models.resnext)
RMSpropTF (class in super_gradients.training.utils.optimizers.rmsprop_tf)
rotate() (in module super_gradients.training.datasets.auto_augment)
round_filters() (in module super_gradients.training.models.efficientnet)
round_repeats() (in module super_gradients.training.models.efficientnet)
RSquaredLoss (class in super_gradients.training.losses.r_squared_loss)
S
S3Connector (class in super_gradients.common.data_connection.s3_connector)
sample_loader() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
(super_gradients.training.datasets.segmentation_datasets.segmentation_dataset.SegmentationDataSet static method)
sample_post_process() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
sample_transform() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet method)
(super_gradients.training.datasets.segmentation_datasets.segmentation_dataset.SegmentationDataSet static method)
save_all_remote_checkpoint_files() (super_gradients.common.data_interface.adnn_model_repository_data_interface.ADNNModelRepositoryDataInterfaces method)
save_checkpoint() (super_gradients.training.sg_model.sg_model.SgModel method)
save_output_hook() (super_gradients.training.utils.module_utils.MultiOutputModule method)
save_remote_checkpoints_file() (super_gradients.common.data_interface.adnn_model_repository_data_interface.ADNNModelRepositoryDataInterfaces method)
save_remote_tensorboard_event_files() (super_gradients.common.data_interface.adnn_model_repository_data_interface.ADNNModelRepositoryDataInterfaces method)
scale_img() (in module super_gradients.training.utils.detection_utils)
scale_wh (super_gradients.training.utils.ssd_utils.DefaultBoxes property)
scale_xy (super_gradients.training.utils.ssd_utils.DefaultBoxes property)
scaled_all_reduce() (in module super_gradients.training.utils.distributed_training_utils)
se_ratio (super_gradients.training.models.efficientnet.BlockArgs property)
SEBlock (class in super_gradients.training.models.repvgg)
SegmentationDataSet (class in super_gradients.training.datasets.segmentation_datasets.segmentation_dataset)
SegmentationTestDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
SegmentHead (class in super_gradients.training.models.ddrnet)
SELayer (class in super_gradients.training.models.mobilenetv3)
SEMANTIC_SEGMENTATION (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)
(super_gradients.training.datasets.all_datasets.SgLibraryDatasets attribute)
SENet (class in super_gradients.training.models.senet)
SENet18() (in module super_gradients.training.models.senet)
separate_zero_wd_params_groups_for_optimizer() (in module super_gradients.training.utils.optimizer_utils)
SepConv (class in super_gradients.training.models.pnasnet)
SeperableConv2d() (in module super_gradients.training.models.ssd)
set_experiment_name() (super_gradients.training.sg_model.sg_model.SgModel method)
set_module() (super_gradients.training.sg_model.sg_model.SgModel method)
set_schema() (super_gradients.training.utils.utils.HpmStruct method)
SgLibraryDatasets (class in super_gradients.training.datasets.all_datasets)
SgModel (class in super_gradients.training.sg_model.sg_model)
SgModule (class in super_gradients.training.models.sg_module)
sharpness() (in module super_gradients.training.datasets.auto_augment)
shear_x() (in module super_gradients.training.datasets.auto_augment)
shear_y() (in module super_gradients.training.datasets.auto_augment)
ShelfBlock (class in super_gradients.training.models.shelfnet)
ShelfNet101 (class in super_gradients.training.models.shelfnet)
ShelfNet18_LW (class in super_gradients.training.models.shelfnet)
ShelfNet34_LW (class in super_gradients.training.models.shelfnet)
ShelfNet50 (class in super_gradients.training.models.shelfnet)
ShelfNet503343 (class in super_gradients.training.models.shelfnet)
ShelfNetBase (class in super_gradients.training.models.shelfnet)
ShelfNetHW (class in super_gradients.training.models.shelfnet)
ShelfNetLW (class in super_gradients.training.models.shelfnet)
ShelfNetModuleBase (class in super_gradients.training.models.shelfnet)
ShelfNetOHEMLoss (class in super_gradients.training.losses.shelfnet_ohem_loss)
ShelfNetSemanticEncodingLoss (class in super_gradients.training.losses.shelfnet_semantic_encoding_loss)
ShelfResNetBackBone (class in super_gradients.training.models.shelfnet)
ShelfResNetBackBone101 (class in super_gradients.training.models.shelfnet)
ShelfResNetBackBone18 (class in super_gradients.training.models.shelfnet)
ShelfResNetBackBone34 (class in super_gradients.training.models.shelfnet)
ShelfResNetBackBone50 (class in super_gradients.training.models.shelfnet)
ShelfResNetBackBone503343 (class in super_gradients.training.models.shelfnet)
ShuffleBlock (class in super_gradients.training.models.shufflenet)
ShuffleNet (class in super_gradients.training.models.shufflenet)
ShuffleNetG2() (in module super_gradients.training.models.shufflenet)
ShuffleNetG3() (in module super_gradients.training.models.shufflenet)
ShufflenetV2_x0_5 (class in super_gradients.training.models.shufflenetv2)
ShufflenetV2_x1_0 (class in super_gradients.training.models.shufflenetv2)
ShufflenetV2_x1_5 (class in super_gradients.training.models.shufflenetv2)
ShufflenetV2_x2_0 (class in super_gradients.training.models.shufflenetv2)
ShuffleNetV2Base (class in super_gradients.training.models.shufflenetv2)
singleton() (in module super_gradients.common.decorators.singleton)
SingletonMeta (class in super_gradients.common.decorators.singleton)
solarize() (in module super_gradients.training.datasets.auto_augment)
solarize_add() (in module super_gradients.training.datasets.auto_augment)
SPP (class in super_gradients.training.models.csp_darknet53)
SPPF (class in super_gradients.training.models.csp_darknet53)
SPPLayer (class in super_gradients.training.models.yolov3)
SSD (class in super_gradients.training.models.ssd)
SSDLiteMobileNetV2 (class in super_gradients.training.models.ssd)
SSDLoss (class in super_gradients.training.losses.ssd_loss)
SSDMobileNetV1 (class in super_gradients.training.models.ssd)
SSDPostPredictCallback (class in super_gradients.training.utils.ssd_utils)
Stage (class in super_gradients.training.models.regnet)
start() (super_gradients.training.utils.utils.Timer method)
static_vars() (in module super_gradients.training.utils.utils)
Stem (class in super_gradients.training.models.regnet)
step() (super_gradients.training.utils.optimizers.rmsprop_tf.RMSpropTF method)
StepLRCallback (class in super_gradients.training.utils.callbacks)
stop() (super_gradients.training.utils.utils.Timer method)
StrictLoad (class in super_gradients.training.sg_model.sg_model)
stride (super_gradients.training.models.efficientnet.BlockArgs property)
(super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
(super_gradients.training.utils.detection_utils.Anchors property)
super_gradients
module
super_gradients.common
module
super_gradients.common.abstractions
module
super_gradients.common.abstractions.abstract_logger
module
super_gradients.common.auto_logging
module
super_gradients.common.auto_logging.auto_logger
module
super_gradients.common.aws_connection
module
super_gradients.common.aws_connection.aws_connector
module
super_gradients.common.aws_connection.aws_secrets_manager_connector
module
super_gradients.common.data_connection
module
super_gradients.common.data_connection.s3_connector
module
super_gradients.common.data_interface
module
super_gradients.common.data_interface.adnn_model_repository_data_interface
module
super_gradients.common.data_interface.dataset_data_interface
module
super_gradients.common.data_types
module
super_gradients.common.data_types.enum
module
super_gradients.common.data_types.enum.deep_learning_task
module
super_gradients.common.decorators
module
super_gradients.common.decorators.deci_logger
module
super_gradients.common.decorators.explicit_params_validator
module
super_gradients.common.decorators.singleton
module
super_gradients.common.environment
module
super_gradients.common.environment.env_helpers
module
super_gradients.common.environment.environment_config
module
super_gradients.training
module
super_gradients.training.datasets
module
super_gradients.training.datasets.all_datasets
module
super_gradients.training.datasets.auto_augment
module
super_gradients.training.datasets.classification_datasets
module
super_gradients.training.datasets.data_augmentation
module
super_gradients.training.datasets.dataset_interfaces
module
super_gradients.training.datasets.dataset_interfaces.dataset_interface
module
super_gradients.training.datasets.datasets_conf
module
super_gradients.training.datasets.datasets_utils
module
super_gradients.training.datasets.detection_datasets
module
super_gradients.training.datasets.detection_datasets.coco_detection
module
super_gradients.training.datasets.detection_datasets.detection_dataset
module
super_gradients.training.datasets.detection_datasets.pascal_voc_detection
module
super_gradients.training.datasets.mixup
module
super_gradients.training.datasets.segmentation_datasets
module
super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation
module
super_gradients.training.datasets.segmentation_datasets.coco_segmentation
module
super_gradients.training.datasets.segmentation_datasets.pascal_aug_segmentation
module
super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation
module
super_gradients.training.datasets.segmentation_datasets.segmentation_dataset
module
super_gradients.training.datasets.sg_dataset
module
super_gradients.training.exceptions
module
super_gradients.training.exceptions.dataset_exceptions
module
super_gradients.training.exceptions.sg_model_exceptions
module
super_gradients.training.legacy
module
super_gradients.training.legacy.utils
module
super_gradients.training.losses
module
super_gradients.training.losses.all_losses
module
super_gradients.training.losses.ddrnet_loss
module
super_gradients.training.losses.focal_loss
module
super_gradients.training.losses.label_smoothing_cross_entropy_loss
module
super_gradients.training.losses.ohem_ce_loss
module
super_gradients.training.losses.r_squared_loss
module
super_gradients.training.losses.shelfnet_ohem_loss
module
super_gradients.training.losses.shelfnet_semantic_encoding_loss
module
super_gradients.training.losses.ssd_loss
module
super_gradients.training.losses.yolo_v3_loss
module
super_gradients.training.losses.yolo_v5_loss
module
super_gradients.training.metrics
module
super_gradients.training.metrics.classification_metrics
module
super_gradients.training.metrics.detection_metrics
module
super_gradients.training.metrics.metric_utils
module
super_gradients.training.metrics.segmentation_metrics
module
super_gradients.training.models
module
super_gradients.training.models.all_architectures
module
super_gradients.training.models.csp_darknet53
module
super_gradients.training.models.darknet53
module
super_gradients.training.models.ddrnet
module
super_gradients.training.models.densenet
module
super_gradients.training.models.dpn
module
super_gradients.training.models.efficientnet
module
super_gradients.training.models.googlenet
module
super_gradients.training.models.laddernet
module
super_gradients.training.models.lenet
module
super_gradients.training.models.mobilenet
module
super_gradients.training.models.mobilenetv2
module
super_gradients.training.models.mobilenetv3
module
super_gradients.training.models.pnasnet
module
super_gradients.training.models.preact_resnet
module
super_gradients.training.models.regnet
module
super_gradients.training.models.repvgg
module
super_gradients.training.models.resnet
module
super_gradients.training.models.resnext
module
super_gradients.training.models.senet
module
super_gradients.training.models.sg_module
module
super_gradients.training.models.shelfnet
module
super_gradients.training.models.shufflenet
module
super_gradients.training.models.shufflenetv2
module
super_gradients.training.models.ssd
module
super_gradients.training.models.vgg
module
super_gradients.training.models.yolov3
module
super_gradients.training.models.yolov5
module
super_gradients.training.params
module
super_gradients.training.pretrained_models
module
super_gradients.training.sg_model
module
super_gradients.training.sg_model.sg_model
module
super_gradients.training.utils
module
super_gradients.training.utils.callbacks
module
super_gradients.training.utils.checkpoint_utils
module
super_gradients.training.utils.detection_utils
module
super_gradients.training.utils.distributed_training_utils
module
super_gradients.training.utils.early_stopping
module
super_gradients.training.utils.ema
module
super_gradients.training.utils.export_utils
module
super_gradients.training.utils.module_utils
module
super_gradients.training.utils.optimizer_utils
module
super_gradients.training.utils.optimizers
module
super_gradients.training.utils.optimizers.rmsprop_tf
module
super_gradients.training.utils.regularization_utils
module
super_gradients.training.utils.segmentation_utils
module
super_gradients.training.utils.sg_model_utils
module
super_gradients.training.utils.ssd_utils
module
super_gradients.training.utils.utils
module
super_gradients.training.utils.weight_averaging_utils
module
supported_phases (super_gradients.training.utils.early_stopping.EarlyStop attribute)
T
target_loader() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
(super_gradients.training.datasets.detection_datasets.pascal_voc_detection.PascalVOC2012DetectionDataSet method)
(super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation.CityscapesDataset method)
(super_gradients.training.datasets.segmentation_datasets.coco_segmentation.CoCoSegmentationDataSet method)
(super_gradients.training.datasets.segmentation_datasets.pascal_aug_segmentation.PascalAUG2012SegmentationDataSet static method)
(super_gradients.training.datasets.segmentation_datasets.segmentation_dataset.SegmentationDataSet static method)
target_transform() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)
(super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation.CityscapesDataset static method)
(super_gradients.training.datasets.segmentation_datasets.segmentation_dataset.SegmentationDataSet static method)
tensor_container_to_device() (in module super_gradients.training.utils.utils)
TerminalColours (class in super_gradients.common.environment.env_helpers)
TEST (super_gradients.training.sg_model.sg_model.EvaluationType attribute)
test() (in module super_gradients.training.models.dpn)
(in module super_gradients.training.models.pnasnet)
(in module super_gradients.training.models.preact_resnet)
(in module super_gradients.training.models.senet)
(in module super_gradients.training.models.shufflenet)
(in module super_gradients.training.models.vgg)
(super_gradients.training.sg_model.sg_model.SgModel method)
TEST_BATCH_END (super_gradients.training.utils.callbacks.Phase attribute)
TEST_END (super_gradients.training.utils.callbacks.Phase attribute)
TestDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
TestYoloDetectionDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
text_file_loader_func() (super_gradients.training.datasets.sg_dataset.BaseSgVisionDataset static method)
Timer (class in super_gradients.training.utils.utils)
TinyImageNetDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)
TinyYoloV3 (class in super_gradients.training.models.yolov3)
to_dict() (super_gradients.training.utils.utils.HpmStruct method)
to_tensor() (super_gradients.training.datasets.data_augmentation.DataAugmentation static method)
Top5 (class in super_gradients.training.metrics.classification_metrics)
total (super_gradients.training.metrics.classification_metrics.Accuracy attribute)
ToyTestClassificationMetric (class in super_gradients.training.metrics.classification_metrics)
train() (super_gradients.training.models.repvgg.RepVGG method)
(super_gradients.training.sg_model.sg_model.SgModel method)
TRAIN_BATCH_END (super_gradients.training.utils.callbacks.Phase attribute)
TRAIN_BATCH_STEP (super_gradients.training.utils.callbacks.Phase attribute)
TRAIN_EPOCH_END (super_gradients.training.utils.callbacks.Phase attribute)
TRAIN_EPOCH_START (super_gradients.training.utils.callbacks.Phase attribute)
training (super_gradients.training.datasets.data_augmentation.RandomErase attribute)
(super_gradients.training.datasets.datasets_utils.RandomResizedCropAndInterpolation attribute)
(super_gradients.training.losses.shelfnet_ohem_loss.ShelfNetOHEMLoss attribute)
(super_gradients.training.metrics.classification_metrics.Top5 attribute)
(super_gradients.training.metrics.classification_metrics.ToyTestClassificationMetric attribute)
(super_gradients.training.metrics.detection_metrics.DetectionMetrics attribute)
(super_gradients.training.metrics.segmentation_metrics.PixelAccuracy attribute)
(super_gradients.training.models.csp_darknet53.Bottleneck attribute)
(super_gradients.training.models.csp_darknet53.BottleneckCSP attribute)
(super_gradients.training.models.csp_darknet53.C3 attribute)
(super_gradients.training.models.csp_darknet53.Conv attribute)
(super_gradients.training.models.csp_darknet53.CSPDarknet53 attribute)
(super_gradients.training.models.csp_darknet53.Focus attribute)
(super_gradients.training.models.csp_darknet53.SPP attribute)
(super_gradients.training.models.csp_darknet53.SPPF attribute)
(super_gradients.training.models.csp_darknet53.ViewModule attribute)
(super_gradients.training.models.darknet53.Darknet53 attribute)
(super_gradients.training.models.darknet53.Darknet53Base attribute)
(super_gradients.training.models.darknet53.DarkResidualBlock attribute)
(super_gradients.training.models.darknet53.ViewModule attribute)
(super_gradients.training.models.ddrnet.AnyBackBoneDDRNet23 attribute)
(super_gradients.training.models.ddrnet.BasicDDRBackBone attribute)
(super_gradients.training.models.ddrnet.DAPPM attribute)
(super_gradients.training.models.ddrnet.DAPPMBranch attribute)
(super_gradients.training.models.ddrnet.DDRBackBoneBase attribute)
(super_gradients.training.models.ddrnet.DDRNet attribute)
(super_gradients.training.models.ddrnet.DDRNet23 attribute)
(super_gradients.training.models.ddrnet.DDRNet23Slim attribute)
(super_gradients.training.models.ddrnet.DDRNetCustom attribute)
(super_gradients.training.models.ddrnet.RegnetDDRBackBone attribute)
(super_gradients.training.models.ddrnet.SegmentHead attribute)
(super_gradients.training.models.ddrnet.UpscaleOnline attribute)
(super_gradients.training.models.densenet.DenseNet attribute)
(super_gradients.training.models.dpn.Bottleneck attribute)
(super_gradients.training.models.dpn.DPN attribute)
(super_gradients.training.models.efficientnet.EfficientNet attribute)
(super_gradients.training.models.efficientnet.Identity attribute)
(super_gradients.training.models.efficientnet.MBConvBlock attribute)
(super_gradients.training.models.googlenet.BasicConv2d attribute)
(super_gradients.training.models.googlenet.GoogLeNet attribute)
(super_gradients.training.models.googlenet.Inception attribute)
(super_gradients.training.models.googlenet.InceptionAux attribute)
(super_gradients.training.models.laddernet.BaseNet attribute)
(super_gradients.training.models.laddernet.BasicBlock attribute)
(super_gradients.training.models.laddernet.Bottleneck attribute)
(super_gradients.training.models.laddernet.Decoder attribute)
(super_gradients.training.models.laddernet.FCNHead attribute)
(super_gradients.training.models.laddernet.Final_LadderBlock attribute)
(super_gradients.training.models.laddernet.Initial_LadderBlock attribute)
(super_gradients.training.models.laddernet.LadderBlock attribute)
(super_gradients.training.models.laddernet.LadderBottleneck attribute)
(super_gradients.training.models.laddernet.LadderHead attribute)
(super_gradients.training.models.laddernet.LadderNet attribute)
(super_gradients.training.models.laddernet.LadderNet101 attribute)
(super_gradients.training.models.laddernet.LadderNet50 attribute)
(super_gradients.training.models.laddernet.LadderNet503433 attribute)
(super_gradients.training.models.laddernet.LadderNetBackBone101 attribute)
(super_gradients.training.models.laddernet.LadderNetBackBone50 attribute)
(super_gradients.training.models.laddernet.LadderNetBackBone503433 attribute)
(super_gradients.training.models.laddernet.LadderResNet attribute)
(super_gradients.training.models.lenet.LeNet attribute)
(super_gradients.training.models.mobilenet.Block attribute)
(super_gradients.training.models.mobilenet.MobileNet attribute)
(super_gradients.training.models.mobilenetv2.InvertedResidual attribute)
(super_gradients.training.models.mobilenetv2.MobileNetV2 attribute)
(super_gradients.training.models.mobilenetv3.h_sigmoid attribute)
(super_gradients.training.models.mobilenetv3.h_swish attribute)
(super_gradients.training.models.mobilenetv3.InvertedResidual attribute)
(super_gradients.training.models.mobilenetv3.MobileNetV3 attribute)
(super_gradients.training.models.mobilenetv3.SELayer attribute)
(super_gradients.training.models.pnasnet.CellA attribute)
(super_gradients.training.models.pnasnet.CellB attribute)
(super_gradients.training.models.pnasnet.PNASNet attribute)
(super_gradients.training.models.pnasnet.SepConv attribute)
(super_gradients.training.models.preact_resnet.PreActBlock attribute)
(super_gradients.training.models.preact_resnet.PreActBottleneck attribute)
(super_gradients.training.models.preact_resnet.PreActResNet attribute)
(super_gradients.training.models.regnet.AnyNetX attribute)
(super_gradients.training.models.regnet.CustomRegNet attribute)
(super_gradients.training.models.regnet.Head attribute)
(super_gradients.training.models.regnet.NASRegNet attribute)
(super_gradients.training.models.regnet.RegNetX attribute)
(super_gradients.training.models.regnet.RegNetY attribute)
(super_gradients.training.models.regnet.RegNetY200 attribute)
(super_gradients.training.models.regnet.RegNetY400 attribute)
(super_gradients.training.models.regnet.RegNetY600 attribute)
(super_gradients.training.models.regnet.RegNetY800 attribute)
(super_gradients.training.models.regnet.Stage attribute)
(super_gradients.training.models.regnet.Stem attribute)
(super_gradients.training.models.regnet.XBlock attribute)
(super_gradients.training.models.repvgg.RepVGG attribute)
(super_gradients.training.models.repvgg.RepVggA0 attribute)
(super_gradients.training.models.repvgg.RepVggA1 attribute)
(super_gradients.training.models.repvgg.RepVggA2 attribute)
(super_gradients.training.models.repvgg.RepVggB0 attribute)
(super_gradients.training.models.repvgg.RepVggB1 attribute)
(super_gradients.training.models.repvgg.RepVggB2 attribute)
(super_gradients.training.models.repvgg.RepVggB3 attribute)
(super_gradients.training.models.repvgg.RepVGGBlock attribute)
(super_gradients.training.models.repvgg.RepVggCustom attribute)
(super_gradients.training.models.repvgg.RepVggD2SE attribute)
(super_gradients.training.models.repvgg.SEBlock attribute)
(super_gradients.training.models.resnet.BasicBlock attribute)
(super_gradients.training.models.resnet.Bottleneck attribute)
(super_gradients.training.models.resnet.CifarResNet attribute)
(super_gradients.training.models.resnet.ResNet attribute)
(super_gradients.training.models.resnext.GroupedConvBlock attribute)
(super_gradients.training.models.resnext.ResNeXt attribute)
(super_gradients.training.models.senet.BasicBlock attribute)
(super_gradients.training.models.senet.PreActBlock attribute)
(super_gradients.training.models.senet.SENet attribute)
(super_gradients.training.models.sg_module.SgModule attribute)
(super_gradients.training.models.shelfnet.AttentionRefinementModule attribute)
(super_gradients.training.models.shelfnet.ConvBNReLU attribute)
(super_gradients.training.models.shelfnet.DecoderBase attribute)
(super_gradients.training.models.shelfnet.DecoderHW attribute)
(super_gradients.training.models.shelfnet.DecoderLW attribute)
(super_gradients.training.models.shelfnet.FCNHead attribute)
(super_gradients.training.models.shelfnet.LadderBlockBase attribute)
(super_gradients.training.models.shelfnet.LadderBlockHW attribute)
(super_gradients.training.models.shelfnet.LadderBlockLW attribute)
(super_gradients.training.models.shelfnet.NetOutput attribute)
(super_gradients.training.models.shelfnet.ShelfBlock attribute)
(super_gradients.training.models.shelfnet.ShelfNet101 attribute)
(super_gradients.training.models.shelfnet.ShelfNet18_LW attribute)
(super_gradients.training.models.shelfnet.ShelfNet34_LW attribute)
(super_gradients.training.models.shelfnet.ShelfNet50 attribute)
(super_gradients.training.models.shelfnet.ShelfNet503343 attribute)
(super_gradients.training.models.shelfnet.ShelfNetBase attribute)
(super_gradients.training.models.shelfnet.ShelfNetHW attribute)
(super_gradients.training.models.shelfnet.ShelfNetLW attribute)
(super_gradients.training.models.shelfnet.ShelfNetModuleBase attribute)
(super_gradients.training.models.shelfnet.ShelfResNetBackBone attribute)
(super_gradients.training.models.shelfnet.ShelfResNetBackBone101 attribute)
(super_gradients.training.models.shelfnet.ShelfResNetBackBone18 attribute)
(super_gradients.training.models.shelfnet.ShelfResNetBackBone34 attribute)
(super_gradients.training.models.shelfnet.ShelfResNetBackBone50 attribute)
(super_gradients.training.models.shelfnet.ShelfResNetBackBone503343 attribute)
(super_gradients.training.models.shufflenet.Bottleneck attribute)
(super_gradients.training.models.shufflenet.ShuffleBlock attribute)
(super_gradients.training.models.shufflenet.ShuffleNet attribute)
(super_gradients.training.models.shufflenetv2.CustomizedShuffleNetV2 attribute)
(super_gradients.training.models.shufflenetv2.ShufflenetV2_x0_5 attribute)
(super_gradients.training.models.shufflenetv2.ShufflenetV2_x1_0 attribute)
(super_gradients.training.models.shufflenetv2.ShufflenetV2_x1_5 attribute)
(super_gradients.training.models.shufflenetv2.ShufflenetV2_x2_0 attribute)
(super_gradients.training.models.shufflenetv2.ShuffleNetV2Base attribute)
(super_gradients.training.models.ssd.SSD attribute)
(super_gradients.training.models.ssd.SSDLiteMobileNetV2 attribute)
(super_gradients.training.models.ssd.SSDMobileNetV1 attribute)
(super_gradients.training.models.vgg.VGG attribute)
(super_gradients.training.models.yolov3.SPPLayer attribute)
(super_gradients.training.models.yolov3.TinyYoloV3 attribute)
(super_gradients.training.models.yolov3.Upsample attribute)
(super_gradients.training.models.yolov3.YOLOLayer attribute)
(super_gradients.training.models.yolov3.YoloV3 attribute)
(super_gradients.training.models.yolov5.Concat attribute)
(super_gradients.training.models.yolov5.Custom_YoLoV5 attribute)
(super_gradients.training.models.yolov5.Detect attribute)
(super_gradients.training.models.yolov5.YoLoV5Base attribute)
(super_gradients.training.models.yolov5.YoLoV5DarknetBackbone attribute)
(super_gradients.training.models.yolov5.YoLoV5Head attribute)
(super_gradients.training.models.yolov5.YoLoV5L attribute)
(super_gradients.training.models.yolov5.YoLoV5M attribute)
(super_gradients.training.models.yolov5.YoloV5PostPredictionCallback attribute)
(super_gradients.training.models.yolov5.YoLoV5S attribute)
(super_gradients.training.models.yolov5.YoLoV5X attribute)
(super_gradients.training.utils.detection_utils.Anchors attribute)
(super_gradients.training.utils.detection_utils.DetectionPostPredictionCallback attribute)
(super_gradients.training.utils.detection_utils.YoloV3NonMaxSuppression attribute)
(super_gradients.training.utils.export_utils.ExportableHardswish attribute)
(super_gradients.training.utils.module_utils.MultiOutputModule attribute)
(super_gradients.training.utils.regularization_utils.DropPath attribute)
(super_gradients.training.utils.ssd_utils.SSDPostPredictCallback attribute)
(super_gradients.training.utils.utils.WrappedModel attribute)
TrainingParams (class in super_gradients.training.params)
translate_x_abs() (in module super_gradients.training.datasets.auto_augment)
translate_x_rel() (in module super_gradients.training.datasets.auto_augment)
translate_y_abs() (in module super_gradients.training.datasets.auto_augment)
translate_y_rel() (in module super_gradients.training.datasets.auto_augment)
transposed (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
try_port() (in module super_gradients.training.utils.sg_model_utils)
U
UNDERLINE (super_gradients.common.environment.env_helpers.TerminalColours attribute)
undo_image_preprocessing() (in module super_gradients.training.utils.detection_utils)
unpack_batch_items() (in module super_gradients.training.utils.sg_model_utils)
UnsupportedBatchItemsFormat
UnsupportedOptimizerFormat
UnsupportedTrainingParameterFormat
update() (super_gradients.training.metrics.classification_metrics.Accuracy method)
(super_gradients.training.metrics.classification_metrics.Top5 method)
(super_gradients.training.metrics.classification_metrics.ToyTestClassificationMetric method)
(super_gradients.training.metrics.detection_metrics.DetectionMetrics method)
(super_gradients.training.metrics.segmentation_metrics.IoU method)
(super_gradients.training.metrics.segmentation_metrics.PixelAccuracy method)
(super_gradients.training.utils.ema.ModelEMA method)
(super_gradients.training.utils.utils.AverageMeter method)
update_architecture() (super_gradients.training.sg_model.sg_model.SgModel method)
update_attr() (super_gradients.training.utils.ema.ModelEMA method)
update_context() (super_gradients.training.utils.callbacks.PhaseContext method)
update_lr() (super_gradients.training.utils.callbacks.LRCallbackBase method)
update_param_groups() (super_gradients.training.models.sg_module.SgModule method)
(super_gradients.training.models.shelfnet.ShelfNetBase method)
(super_gradients.training.models.yolov5.YoLoV5Base method)
update_snapshots_dict() (super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging method)
upload_buffer() (super_gradients.common.data_connection.s3_connector.S3Connector method)
upload_file() (super_gradients.common.data_connection.s3_connector.S3Connector method)
upload_file_from_stream() (super_gradients.common.data_connection.s3_connector.S3Connector method)
Upsample (class in super_gradients.training.models.yolov3)
UpscaleOnline (class in super_gradients.training.models.ddrnet)
V
validate() (super_gradients.training.utils.utils.HpmStruct method)
validate_backbone_attributes() (super_gradients.training.models.ddrnet.DDRBackBoneBase method)
VALIDATION (super_gradients.training.sg_model.sg_model.EvaluationType attribute)
VALIDATION_BATCH_END (super_gradients.training.utils.callbacks.Phase attribute)
VALIDATION_EPOCH_END (super_gradients.training.utils.callbacks.Phase attribute)
verify_correctness_of_parameters() (in module super_gradients.training.models.regnet)
VGG (class in super_gradients.training.models.vgg)
ViewModule (class in super_gradients.training.models.csp_darknet53)
(class in super_gradients.training.models.darknet53)
visualize_batch() (super_gradients.training.utils.detection_utils.DetectionVisualization static method)
W
WarmupLRCallback (class in super_gradients.training.utils.callbacks)
WARNING (super_gradients.common.environment.env_helpers.TerminalColours attribute)
weight (super_gradients.training.models.efficientnet.Conv2dDynamicSamePadding attribute)
(super_gradients.training.models.efficientnet.Conv2dStaticSamePadding attribute)
width_multiplier() (in module super_gradients.training.models.csp_darknet53)
(in module super_gradients.training.models.resnet)
WrappedModel (class in super_gradients.training.utils.utils)
write_hpms() (in module super_gradients.training.utils.sg_model_utils)
write_training_results() (in module super_gradients.training.utils.sg_model_utils)
X
XBlock (class in super_gradients.training.models.regnet)
Y
yolo_v3_non_max_suppression() (in module super_gradients.training.utils.detection_utils)
YOLOLayer (class in super_gradients.training.models.yolov3)
YoloV3 (class in super_gradients.training.models.yolov3)
YoLoV3DetectionLoss (class in super_gradients.training.losses.yolo_v3_loss)
YoloV3NonMaxSuppression (class in super_gradients.training.utils.detection_utils)
YoLoV5Base (class in super_gradients.training.models.yolov5)
YoLoV5DarknetBackbone (class in super_gradients.training.models.yolov5)
YoLoV5DetectionLoss (class in super_gradients.training.losses.yolo_v5_loss)
YoLoV5Head (class in super_gradients.training.models.yolov5)
YoLoV5L (class in super_gradients.training.models.yolov5)
YoLoV5M (class in super_gradients.training.models.yolov5)
YoloV5PostPredictionCallback (class in super_gradients.training.models.yolov5)
YoLoV5S (class in super_gradients.training.models.yolov5)
YoLoV5X (class in super_gradients.training.models.yolov5)