SuperGradients
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SuperGradients
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Index
Index
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B
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C
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D
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E
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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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Y
A
Accuracy (class in super_gradients.training.metrics)
ACCURACY (super_gradients.training.metrics.Metrics attribute)
accuracy() (in module super_gradients.training.metrics)
adapt_state_dict_to_fit_model_layer_names() (in module super_gradients.training.utils)
ADNNModelRepositoryDataInterfaces (class in super_gradients.common)
(class in super_gradients.common.data_interface)
apply_transforms() (super_gradients.training.datasets.DetectionDataset method)
ar_thr (super_gradients.training.transforms.DetectionRandomAffine attribute)
area_thr (super_gradients.training.transforms.DetectionRandomAffine attribute)
AUTO (super_gradients.common.data_types.MultiGPUMode attribute)
(super_gradients.common.MultiGPUMode attribute)
(super_gradients.training.MultiGPUMode attribute)
(super_gradients.training.sg_trainer.MultiGPUMode attribute)
AutoLoggerConfig (class in super_gradients.common)
(class in super_gradients.common.auto_logging)
AWSConnector (class in super_gradients.common)
B
BCE_DICE_LOSS (super_gradients.training.losses.Losses attribute)
BCEDiceLoss (class in super_gradients.training.losses)
BICUBIC (super_gradients.common.data_types.UpsampleMode attribute)
(super_gradients.common.UpsampleMode attribute)
BILINEAR (super_gradients.common.data_types.UpsampleMode attribute)
(super_gradients.common.UpsampleMode attribute)
BINARY_DICE (super_gradients.training.metrics.Metrics attribute)
BINARY_IOU (super_gradients.training.metrics.Metrics attribute)
BinaryDice (class in super_gradients.training.metrics)
BinaryIOU (class in super_gradients.training.metrics)
C
center_sampling_radius (super_gradients.training.losses.YoloXDetectionLoss attribute)
CenterCrop (super_gradients.training.transforms.Transforms attribute)
check_key_exists() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
Cifar10 (class in super_gradients.training.datasets)
Cifar100 (class in super_gradients.training.datasets)
cifar100_train() (in module super_gradients.training.dataloaders)
cifar100_val() (in module super_gradients.training.dataloaders)
cifar10_resnet_train_params() (in module super_gradients.training.training_hyperparams)
cifar10_train() (in module super_gradients.training.dataloaders)
cifar10_val() (in module super_gradients.training.dataloaders)
cityscapes_ddrnet_train() (in module super_gradients.training.dataloaders)
cityscapes_ddrnet_train_params() (in module super_gradients.training.training_hyperparams)
cityscapes_ddrnet_val() (in module super_gradients.training.dataloaders)
cityscapes_regseg48_train() (in module super_gradients.training.dataloaders)
cityscapes_regseg48_train_params() (in module super_gradients.training.training_hyperparams)
cityscapes_regseg48_val() (in module super_gradients.training.dataloaders)
cityscapes_stdc_base_train_params() (in module super_gradients.training.training_hyperparams)
cityscapes_stdc_seg50_train() (in module super_gradients.training.dataloaders)
cityscapes_stdc_seg50_train_params() (in module super_gradients.training.training_hyperparams)
cityscapes_stdc_seg50_val() (in module super_gradients.training.dataloaders)
cityscapes_stdc_seg75_train() (in module super_gradients.training.dataloaders)
cityscapes_stdc_seg75_train_params() (in module super_gradients.training.training_hyperparams)
cityscapes_stdc_seg75_val() (in module super_gradients.training.dataloaders)
cityscapes_train() (in module super_gradients.training.dataloaders)
cityscapes_val() (in module super_gradients.training.dataloaders)
CLASS_LABELS (super_gradients.training.datasets.SuperviselyPersonsDataset attribute)
CLASSIFICATION (super_gradients.common.data_types.DeepLearningTask attribute)
(super_gradients.common.DeepLearningTask attribute)
close() (super_gradients.training.transforms.DetectionMosaic method)
(super_gradients.training.transforms.DetectionRandomAffine method)
coco2017_ssd_lite_mobilenet_v2_train_params() (in module super_gradients.training.training_hyperparams)
coco2017_train() (in module super_gradients.training.dataloaders)
coco2017_train_ssd_lite_mobilenet_v2() (in module super_gradients.training.dataloaders)
coco2017_train_yolox() (in module super_gradients.training.dataloaders)
coco2017_val() (in module super_gradients.training.dataloaders)
coco2017_val_ssd_lite_mobilenet_v2() (in module super_gradients.training.dataloaders)
coco2017_val_yolox() (in module super_gradients.training.dataloaders)
coco2017_yolox_train_params() (in module super_gradients.training.training_hyperparams)
coco_segmentation_shelfnet_lw_train_params() (in module super_gradients.training.training_hyperparams)
coco_segmentation_train() (in module super_gradients.training.dataloaders)
coco_segmentation_val() (in module super_gradients.training.dataloaders)
COCODetectionDataset (class in super_gradients.training.datasets)
CoCoSegmentationDataSet (class in super_gradients.training.datasets)
ColorJitter (super_gradients.training.transforms.Transforms attribute)
component_names (super_gradients.training.losses.DiceCEEdgeLoss property)
(super_gradients.training.losses.KDLogitsLoss property)
(super_gradients.training.losses.ShelfNetOHEMLoss property)
(super_gradients.training.losses.ShelfNetSemanticEncodingLoss property)
(super_gradients.training.losses.SSDLoss property)
(super_gradients.training.losses.YoloXDetectionLoss property)
Compose (super_gradients.training.transforms.Transforms attribute)
compute() (super_gradients.training.metrics.BinaryDice method)
(super_gradients.training.metrics.BinaryIOU method)
(super_gradients.training.metrics.DetectionMetrics method)
(super_gradients.training.metrics.Dice method)
(super_gradients.training.metrics.PixelAccuracy method)
(super_gradients.training.metrics.Top5 method)
(super_gradients.training.metrics.ToyTestClassificationMetric method)
confmat (super_gradients.training.metrics.BinaryDice attribute)
(super_gradients.training.metrics.BinaryIOU attribute)
(super_gradients.training.metrics.Dice attribute)
(super_gradients.training.metrics.IoU attribute)
CONSOLE_LOGGING_LEVEL (super_gradients.common.auto_logging.AutoLoggerConfig attribute)
(super_gradients.common.AutoLoggerConfig attribute)
ConsoleSink (class in super_gradients.common.auto_logging)
convert_content_length_to_mb() (super_gradients.common.data_connection.S3Connector static method)
(super_gradients.common.S3Connector static method)
convert_to_tensor() (in module super_gradients.training.utils)
ConvertImageDtype (super_gradients.training.transforms.Transforms attribute)
copy_key() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
correct (super_gradients.training.metrics.Accuracy attribute)
create_bucket() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
create_presigned_download_url() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
create_presigned_upload_url() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
CROSS_ENTROPY (super_gradients.training.losses.Losses attribute)
cumulative_sizes (super_gradients.training.datasets.PascalVOCAndAUGUnifiedDataset attribute)
cutout() (super_gradients.training.DataAugmentation static method)
(super_gradients.training.datasets.DataAugmentation static method)
D
DATA_PARALLEL (super_gradients.common.data_types.MultiGPUMode attribute)
(super_gradients.common.MultiGPUMode attribute)
(super_gradients.training.MultiGPUMode attribute)
(super_gradients.training.sg_trainer.MultiGPUMode attribute)
DataAugmentation (class in super_gradients.training)
(class in super_gradients.training.datasets)
DatasetDataInterface (class in super_gradients.common)
(class in super_gradients.common.data_interface)
datasets (super_gradients.training.datasets.PascalVOCAndAUGUnifiedDataset attribute)
decode_segmentation_mask() (super_gradients.training.datasets.PascalVOC2012SegmentationDataSet method)
DeepLearningTask (class in super_gradients.common)
(class in super_gradients.common.data_types)
degrees (super_gradients.training.transforms.DetectionRandomAffine attribute)
delete_bucket() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
delete_key() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
DEPTH_ESTIMATION (super_gradients.common.data_types.DeepLearningTask attribute)
(super_gradients.common.DeepLearningTask attribute)
DETECTION_METRICS (super_gradients.training.metrics.Metrics attribute)
DETECTION_METRICS_050 (super_gradients.training.metrics.Metrics attribute)
DETECTION_METRICS_050_095 (super_gradients.training.metrics.Metrics attribute)
DETECTION_METRICS_075 (super_gradients.training.metrics.Metrics attribute)
DetectionDataset (class in super_gradients.training.datasets)
DetectionHorizontalFlip (super_gradients.training.transforms.Transforms attribute)
DetectionHSV (class in super_gradients.training.transforms)
(super_gradients.training.transforms.Transforms attribute)
DetectionMetrics (class in super_gradients.training.metrics)
DetectionMetrics_050 (class in super_gradients.training.metrics)
DetectionMetrics_050_095 (class in super_gradients.training.metrics)
DetectionMetrics_075 (class in super_gradients.training.metrics)
DetectionMixup (super_gradients.training.transforms.Transforms attribute)
DetectionMosaic (class in super_gradients.training.transforms)
(super_gradients.training.transforms.Transforms attribute)
DetectionPaddedRescale (class in super_gradients.training.transforms)
(super_gradients.training.transforms.Transforms attribute)
DetectionRandomAffine (class in super_gradients.training.transforms)
(super_gradients.training.transforms.Transforms attribute)
DetectionTargetsFormat (super_gradients.training.transforms.Transforms attribute)
DetectionTargetsFormatTransform (class in super_gradients.training.transforms)
(super_gradients.training.transforms.Transforms attribute)
Dice (class in super_gradients.training.metrics)
DICE (super_gradients.training.metrics.Metrics attribute)
DICE_CE_EDGE_LOSS (super_gradients.training.losses.Losses attribute)
DiceCEEdgeLoss (class in super_gradients.training.losses)
dict() (super_gradients.common.data_types.MultiGPUMode class method)
(super_gradients.common.MultiGPUMode class method)
(super_gradients.training.MultiGPUMode class method)
(super_gradients.training.sg_trainer.MultiGPUMode class method)
DirectoryDataSet (class in super_gradients.training.datasets)
dist_sync_on_step (super_gradients.training.metrics.DetectionMetrics attribute)
DISTRIBUTED_DATA_PARALLEL (super_gradients.common.data_types.MultiGPUMode attribute)
(super_gradients.common.MultiGPUMode attribute)
(super_gradients.training.MultiGPUMode attribute)
(super_gradients.training.sg_trainer.MultiGPUMode attribute)
download() (super_gradients.training.datasets.PascalVOCDetectionDataset static method)
download_file_by_path() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
download_key() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
download_keys_by_prefix() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
dynamic_k_matching() (super_gradients.training.losses.YoloXDetectionLoss method)
E
empty_folder_content_by_path_prefix() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
enable (super_gradients.training.transforms.DetectionRandomAffine attribute)
enable_mosaic (super_gradients.training.transforms.DetectionMosaic attribute)
evaluate() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
evaluate_checkpoint() (super_gradients.training.sg_trainer.Trainer class method)
(super_gradients.training.Trainer class method)
evaluate_from_recipe() (super_gradients.training.sg_trainer.Trainer class method)
(super_gradients.training.Trainer class method)
EvaluationType (class in super_gradients.common)
(class in super_gradients.common.data_types)
(class in super_gradients.training)
explicit_params_validation() (in module super_gradients.common)
(in module super_gradients.common.decorators)
F
FILE_LOGGING_LEVEL (super_gradients.common.auto_logging.AutoLoggerConfig attribute)
(super_gradients.common.AutoLoggerConfig attribute)
filename (super_gradients.common.auto_logging.AutoLoggerConfig attribute)
(super_gradients.common.AutoLoggerConfig attribute)
filter_box_candidates (super_gradients.training.transforms.DetectionRandomAffine attribute)
FiveCrop (super_gradients.training.transforms.Transforms attribute)
flush() (super_gradients.common.auto_logging.ConsoleSink static method)
FocalLoss (class in super_gradients.training.losses)
forward() (super_gradients.training.losses.BCEDiceLoss method)
(super_gradients.training.losses.DiceCEEdgeLoss method)
(super_gradients.training.losses.FocalLoss method)
(super_gradients.training.losses.KDLogitsLoss method)
(super_gradients.training.losses.LabelSmoothingCrossEntropyLoss method)
(super_gradients.training.losses.RSquaredLoss method)
(super_gradients.training.losses.ShelfNetOHEMLoss method)
(super_gradients.training.losses.ShelfNetSemanticEncodingLoss method)
(super_gradients.training.losses.SSDLoss method)
(super_gradients.training.losses.YoloXDetectionLoss method)
(super_gradients.training.utils.WrappedModel method)
G
GaussianBlur (super_gradients.training.transforms.Transforms attribute)
get() (in module super_gradients.training.dataloaders)
(in module super_gradients.training.training_hyperparams)
get_arch_params (super_gradients.training.sg_trainer.Trainer property)
(super_gradients.training.Trainer property)
get_architecture (super_gradients.training.sg_trainer.Trainer property)
(super_gradients.training.Trainer property)
get_assignments() (super_gradients.training.losses.YoloXDetectionLoss method)
get_aws_client_for_service_name() (super_gradients.common.AWSConnector static method)
get_aws_resource_for_service_name() (super_gradients.common.AWSConnector static method)
get_aws_session() (super_gradients.common.AWSConnector static method)
get_data_loader() (in module super_gradients.training.dataloaders)
get_filename() (super_gradients.common.auto_logging.ConsoleSink static method)
get_in_boxes_info() (super_gradients.training.losses.YoloXDetectionLoss method)
get_instance() (super_gradients.common.auto_logging.AutoLoggerConfig class method)
(super_gradients.common.AutoLoggerConfig class method)
get_l1_target() (super_gradients.training.losses.YoloXDetectionLoss method)
get_log_file_path() (super_gradients.common.auto_logging.AutoLoggerConfig class method)
(super_gradients.common.AutoLoggerConfig class method)
get_module (super_gradients.training.sg_trainer.Trainer property)
(super_gradients.training.Trainer property)
get_net (super_gradients.training.sg_trainer.Trainer property)
(super_gradients.training.Trainer property)
get_object_by_etag() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
get_object_metadata() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
get_param() (in module super_gradients.training.utils)
get_random_item() (super_gradients.training.datasets.DetectionDataset method)
get_random_sample() (super_gradients.training.datasets.DetectionDataset method)
get_random_samples() (super_gradients.training.datasets.DetectionDataset method)
get_resized_image() (super_gradients.training.datasets.DetectionDataset method)
get_sample() (super_gradients.training.datasets.DetectionDataset method)
get_structure (super_gradients.training.sg_trainer.Trainer property)
(super_gradients.training.Trainer property)
Grayscale (super_gradients.training.transforms.Transforms attribute)
H
HpmStruct (class in super_gradients.training.utils)
I
ignore_index (super_gradients.training.losses.LabelSmoothingCrossEntropyLoss attribute)
(super_gradients.training.losses.ShelfNetSemanticEncodingLoss attribute)
IGNORE_LABEL (super_gradients.training.datasets.PascalVOC2012SegmentationDataSet attribute)
imagenet_efficientnet_train() (in module super_gradients.training.dataloaders)
imagenet_efficientnet_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_efficientnet_val() (in module super_gradients.training.dataloaders)
imagenet_mobilenetv2_train() (in module super_gradients.training.dataloaders)
imagenet_mobilenetv2_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_mobilenetv2_val() (in module super_gradients.training.dataloaders)
imagenet_mobilenetv3_base_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_mobilenetv3_large_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_mobilenetv3_small_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_mobilenetv3_train() (in module super_gradients.training.dataloaders)
imagenet_mobilenetv3_val() (in module super_gradients.training.dataloaders)
imagenet_regnetY_train() (in module super_gradients.training.dataloaders)
imagenet_regnetY_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_regnetY_val() (in module super_gradients.training.dataloaders)
imagenet_repvgg_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_resnet50_kd_train() (in module super_gradients.training.dataloaders)
imagenet_resnet50_kd_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_resnet50_kd_val() (in module super_gradients.training.dataloaders)
imagenet_resnet50_train() (in module super_gradients.training.dataloaders)
imagenet_resnet50_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_resnet50_val() (in module super_gradients.training.dataloaders)
imagenet_train() (in module super_gradients.training.dataloaders)
imagenet_val() (in module super_gradients.training.dataloaders)
imagenet_vit_base_train() (in module super_gradients.training.dataloaders)
imagenet_vit_base_train_params() (in module super_gradients.training.training_hyperparams)
imagenet_vit_base_val() (in module super_gradients.training.dataloaders)
imagenet_vit_large_train_params() (in module super_gradients.training.training_hyperparams)
ImageNetDataset (class in super_gradients.training.datasets)
init_trainer() (in module super_gradients.common)
(in module super_gradients.common.environment)
input_dim (super_gradients.training.transforms.DetectionMosaic attribute)
(super_gradients.training.transforms.DetectionPaddedRescale attribute)
InterpolationMode (super_gradients.training.transforms.Transforms attribute)
IoU (class in super_gradients.training.metrics)
IOU (super_gradients.training.metrics.Metrics attribute)
iou_thresholds (super_gradients.training.metrics.DetectionMetrics attribute)
iou_type (super_gradients.training.losses.YoloXDetectionLoss attribute)
is_client_error() (super_gradients.common.AWSConnector static method)
is_distributed() (in module super_gradients.common)
(in module super_gradients.common.environment)
K
KD_LOSS (super_gradients.training.losses.Losses attribute)
KDLogitsLoss (class in super_gradients.training.losses)
KDTrainer (class in super_gradients.training)
(class in super_gradients.training.kd_trainer)
L
label_smoothing (super_gradients.training.losses.LabelSmoothingCrossEntropyLoss attribute)
(super_gradients.training.losses.ShelfNetSemanticEncodingLoss attribute)
LabelSmoothingCrossEntropyLoss (class in super_gradients.training.losses)
Lambda (super_gradients.training.transforms.Transforms attribute)
Lighting (super_gradients.training.transforms.Transforms attribute)
LinearTransformation (super_gradients.training.transforms.Transforms attribute)
list_bucket_objects() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
ListDataset (class in super_gradients.training.datasets)
load_all_remote_log_files() (super_gradients.common.ADNNModelRepositoryDataInterfaces method)
(super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces method)
load_remote_checkpoints_file() (super_gradients.common.ADNNModelRepositoryDataInterfaces method)
(super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces method)
load_remote_dataset_file() (super_gradients.common.data_interface.DatasetDataInterface method)
(super_gradients.common.DatasetDataInterface method)
load_remote_logging_files() (super_gradients.common.ADNNModelRepositoryDataInterfaces method)
(super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces method)
loss_weights (super_gradients.training.losses.BCEDiceLoss attribute)
Losses (class in super_gradients.training.losses)
M
match_dboxes() (super_gradients.training.losses.SSDLoss method)
max_targets (super_gradients.training.transforms.DetectionTargetsFormatTransform attribute)
Metrics (class in super_gradients.training.metrics)
min_bbox_edge_size (super_gradients.training.transforms.DetectionTargetsFormatTransform attribute)
module
super_gradients.common
super_gradients.common.auto_logging
super_gradients.common.data_connection
super_gradients.common.data_interface
super_gradients.common.data_types
super_gradients.common.decorators
super_gradients.common.environment
super_gradients.common.factories
super_gradients.common.plugins
super_gradients.common.registry
super_gradients.common.sg_loggers
super_gradients.training
super_gradients.training.dataloaders
super_gradients.training.datasets
super_gradients.training.exceptions
super_gradients.training.kd_trainer
super_gradients.training.legacy
super_gradients.training.losses
super_gradients.training.metrics
super_gradients.training.models
super_gradients.training.sg_trainer
super_gradients.training.training_hyperparams
super_gradients.training.transforms
super_gradients.training.utils
MSE (super_gradients.training.losses.Losses attribute)
MultiGPUMode (class in super_gradients.common)
(class in super_gradients.common.data_types)
(class in super_gradients.training)
(class in super_gradients.training.sg_trainer)
N
NEAREST (super_gradients.common.data_types.UpsampleMode attribute)
(super_gradients.common.UpsampleMode attribute)
NLP (super_gradients.common.data_types.DeepLearningTask attribute)
(super_gradients.common.DeepLearningTask attribute)
NO_KEY_MATCHING (super_gradients.common.data_types.StrictLoad attribute)
(super_gradients.common.StrictLoad attribute)
(super_gradients.training.sg_trainer.StrictLoad attribute)
(super_gradients.training.StrictLoad attribute)
Normalize (super_gradients.training.transforms.Transforms attribute)
normalize() (super_gradients.training.DataAugmentation static method)
(super_gradients.training.datasets.DataAugmentation static method)
normalize_targets (super_gradients.training.metrics.DetectionMetrics attribute)
num_classes (super_gradients.training.losses.YoloXDetectionLoss attribute)
num_cls (super_gradients.training.metrics.DetectionMetrics attribute)
O
OBJECT_DETECTION (super_gradients.common.data_types.DeepLearningTask attribute)
(super_gradients.common.DeepLearningTask attribute)
OFF (super_gradients.common.data_types.MultiGPUMode attribute)
(super_gradients.common.data_types.StrictLoad attribute)
(super_gradients.common.MultiGPUMode attribute)
(super_gradients.common.StrictLoad attribute)
(super_gradients.training.MultiGPUMode attribute)
(super_gradients.training.sg_trainer.MultiGPUMode attribute)
(super_gradients.training.sg_trainer.StrictLoad attribute)
(super_gradients.training.StrictLoad attribute)
ON (super_gradients.common.data_types.StrictLoad attribute)
(super_gradients.common.StrictLoad attribute)
(super_gradients.training.sg_trainer.StrictLoad attribute)
(super_gradients.training.StrictLoad attribute)
OTHER (super_gradients.common.data_types.DeepLearningTask attribute)
(super_gradients.common.DeepLearningTask attribute)
output_format (super_gradients.training.transforms.DetectionTargetsFormatTransform attribute)
output_target_format (super_gradients.training.datasets.DetectionDataset property)
override() (super_gradients.training.utils.HpmStruct method)
P
Pad (super_gradients.training.transforms.Transforms attribute)
pascal_aug_segmentation_train() (in module super_gradients.training.dataloaders)
pascal_aug_segmentation_val() (in module super_gradients.training.dataloaders)
pascal_voc_detection_train() (in module super_gradients.training.dataloaders)
pascal_voc_detection_val() (in module super_gradients.training.dataloaders)
pascal_voc_segmentation_train() (in module super_gradients.training.dataloaders)
pascal_voc_segmentation_val() (in module super_gradients.training.dataloaders)
PascalAUG2012SegmentationDataSet (class in super_gradients.training.datasets)
PascalVOC2012SegmentationDataSet (class in super_gradients.training.datasets)
PascalVOCAndAUGUnifiedDataset (class in super_gradients.training.datasets)
PascalVOCDetectionDataset (class in super_gradients.training.datasets)
PILToTensor (super_gradients.training.transforms.Transforms attribute)
PIXEL_ACCURACY (super_gradients.training.metrics.Metrics attribute)
PixelAccuracy (class in super_gradients.training.metrics)
plot() (super_gradients.training.datasets.DetectionDataset method)
POSE_ESTIMATION (super_gradients.common.data_types.DeepLearningTask attribute)
(super_gradients.common.DeepLearningTask attribute)
post_prediction_callback (super_gradients.training.metrics.DetectionMetrics attribute)
predict() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
prepare_predictions() (super_gradients.training.losses.YoloXDetectionLoss method)
PreprocessSegmentationMetricsArgs (class in super_gradients.training.metrics)
prob (super_gradients.training.transforms.DetectionMosaic attribute)
R
R_SQUARED_LOSS (super_gradients.training.losses.Losses attribute)
raise_informative_runtime_error() (in module super_gradients.training.utils)
RandAugmentTransform (super_gradients.training.transforms.Transforms attribute)
random_seed() (in module super_gradients.training.utils)
RandomAdjustSharpness (super_gradients.training.transforms.Transforms attribute)
RandomAffine (super_gradients.training.transforms.Transforms attribute)
RandomApply (super_gradients.training.transforms.Transforms attribute)
RandomAutocontrast (super_gradients.training.transforms.Transforms attribute)
RandomChoice (super_gradients.training.transforms.Transforms attribute)
RandomCrop (super_gradients.training.transforms.Transforms attribute)
RandomEqualize (super_gradients.training.transforms.Transforms attribute)
RandomErase (super_gradients.training.transforms.Transforms attribute)
RandomErasing (super_gradients.training.transforms.Transforms attribute)
RandomGrayscale (super_gradients.training.transforms.Transforms attribute)
RandomHorizontalFlip (super_gradients.training.transforms.Transforms attribute)
RandomInvert (super_gradients.training.transforms.Transforms attribute)
RandomOrder (super_gradients.training.transforms.Transforms attribute)
RandomPerspective (super_gradients.training.transforms.Transforms attribute)
RandomPosterize (super_gradients.training.transforms.Transforms attribute)
RandomResizedCrop (super_gradients.training.transforms.Transforms attribute)
RandomResizedCropAndInterpolation (super_gradients.training.transforms.Transforms attribute)
RandomRotation (super_gradients.training.transforms.Transforms attribute)
RandomSolarize (super_gradients.training.transforms.Transforms attribute)
RandomVerticalFlip (super_gradients.training.transforms.Transforms attribute)
recall_thresholds (super_gradients.training.metrics.DetectionMetrics attribute)
reduction (super_gradients.training.losses.DiceCEEdgeLoss attribute)
(super_gradients.training.losses.FocalLoss attribute)
(super_gradients.training.losses.KDLogitsLoss attribute)
(super_gradients.training.losses.RSquaredLoss attribute)
(super_gradients.training.losses.ShelfNetOHEMLoss attribute)
(super_gradients.training.losses.SSDLoss attribute)
(super_gradients.training.losses.YoloXDetectionLoss attribute)
(super_gradients.training.losses.YoloXFastDetectionLoss attribute)
register_detection_module() (in module super_gradients.common.registry)
register_loss() (in module super_gradients.common.registry)
register_metric() (in module super_gradients.common.registry)
register_model() (in module super_gradients.common.registry)
Resize (super_gradients.training.transforms.Transforms attribute)
resume_experiment() (super_gradients.training.sg_trainer.Trainer class method)
(super_gradients.training.Trainer class method)
RSquaredLoss (class in super_gradients.training.losses)
S
S3Connector (class in super_gradients.common)
(class in super_gradients.common.data_connection)
sample_loader() (super_gradients.training.datasets.SegmentationDataSet static method)
sample_transform() (super_gradients.training.datasets.SegmentationDataSet static method)
save_all_remote_checkpoint_files() (super_gradients.common.ADNNModelRepositoryDataInterfaces method)
(super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces method)
save_remote_checkpoints_file() (super_gradients.common.ADNNModelRepositoryDataInterfaces method)
(super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces method)
save_remote_tensorboard_event_files() (super_gradients.common.ADNNModelRepositoryDataInterfaces method)
(super_gradients.common.data_interface.ADNNModelRepositoryDataInterfaces method)
scales (super_gradients.training.transforms.DetectionRandomAffine attribute)
score_threshold (super_gradients.training.metrics.DetectionMetrics attribute)
SegColorJitter (super_gradients.training.transforms.Transforms attribute)
SegCropImageAndMask (super_gradients.training.transforms.Transforms attribute)
SegmentationDataSet (class in super_gradients.training.datasets)
SegPadShortToCropSize (super_gradients.training.transforms.Transforms attribute)
SegRandomFlip (super_gradients.training.transforms.Transforms attribute)
SegRandomGaussianBlur (super_gradients.training.transforms.Transforms attribute)
SegRandomRescale (super_gradients.training.transforms.Transforms attribute)
SegRandomRotate (super_gradients.training.transforms.Transforms attribute)
SegRescale (super_gradients.training.transforms.Transforms attribute)
SegResize (super_gradients.training.transforms.Transforms attribute)
SEMANTIC_SEGMENTATION (super_gradients.common.data_types.DeepLearningTask attribute)
(super_gradients.common.DeepLearningTask attribute)
set_ckpt_best_name() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
set_ema() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
set_experiment_name() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
set_location() (super_gradients.common.auto_logging.ConsoleSink static method)
set_module() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
set_net() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
set_schema() (super_gradients.training.utils.HpmStruct method)
setup_crash_handler() (in module super_gradients.common)
setup_logging() (super_gradients.common.auto_logging.AutoLoggerConfig class method)
(super_gradients.common.AutoLoggerConfig class method)
shear (super_gradients.training.transforms.DetectionRandomAffine attribute)
SHELFNET_OHEM_LOSS (super_gradients.training.losses.Losses attribute)
SHELFNET_SE_LOSS (super_gradients.training.losses.Losses attribute)
ShelfNetOHEMLoss (class in super_gradients.training.losses)
ShelfNetSemanticEncodingLoss (class in super_gradients.training.losses)
singleton() (in module super_gradients.common)
(in module super_gradients.common.decorators)
SNPE_BILINEAR (super_gradients.common.data_types.UpsampleMode attribute)
(super_gradients.common.UpsampleMode attribute)
SSD_LOSS (super_gradients.training.losses.Losses attribute)
SSDLoss (class in super_gradients.training.losses)
start() (super_gradients.training.utils.Timer method)
STDC_LOSS (super_gradients.training.losses.Losses attribute)
stop() (super_gradients.training.utils.Timer method)
StrictLoad (class in super_gradients.common)
(class in super_gradients.common.data_types)
(class in super_gradients.training)
(class in super_gradients.training.sg_trainer)
strides (super_gradients.training.losses.YoloXDetectionLoss attribute)
super_gradients.common
module
super_gradients.common.auto_logging
module
super_gradients.common.data_connection
module
super_gradients.common.data_interface
module
super_gradients.common.data_types
module
super_gradients.common.decorators
module
super_gradients.common.environment
module
super_gradients.common.factories
module
super_gradients.common.plugins
module
super_gradients.common.registry
module
super_gradients.common.sg_loggers
module
super_gradients.training
module
super_gradients.training.dataloaders
module
super_gradients.training.datasets
module
super_gradients.training.exceptions
module
super_gradients.training.kd_trainer
module
super_gradients.training.legacy
module
super_gradients.training.losses
module
super_gradients.training.metrics
module
super_gradients.training.models
module
super_gradients.training.sg_trainer
module
super_gradients.training.training_hyperparams
module
super_gradients.training.transforms
module
super_gradients.training.utils
module
supervisely_persons_train() (in module super_gradients.training.dataloaders)
supervisely_persons_val() (in module super_gradients.training.dataloaders)
SuperviselyPersonsDataset (class in super_gradients.training.datasets)
swap (super_gradients.training.transforms.DetectionPaddedRescale attribute)
T
target_loader() (super_gradients.training.datasets.CoCoSegmentationDataSet method)
(super_gradients.training.datasets.PascalAUG2012SegmentationDataSet static method)
(super_gradients.training.datasets.SegmentationDataSet static method)
target_size (super_gradients.training.transforms.DetectionRandomAffine attribute)
target_transform() (super_gradients.training.datasets.PascalVOC2012SegmentationDataSet static method)
(super_gradients.training.datasets.SegmentationDataSet static method)
TenCrop (super_gradients.training.transforms.Transforms attribute)
tensor_container_to_device() (in module super_gradients.training.utils)
TEST (super_gradients.common.data_types.EvaluationType attribute)
(super_gradients.common.EvaluationType attribute)
(super_gradients.training.EvaluationType attribute)
test() (super_gradients.training.sg_trainer.Trainer method)
(super_gradients.training.Trainer method)
Timer (class in super_gradients.training.utils)
tiny_imagenet_train() (in module super_gradients.training.dataloaders)
tiny_imagenet_val() (in module super_gradients.training.dataloaders)
to_dict() (super_gradients.training.utils.HpmStruct method)
to_tensor() (super_gradients.training.DataAugmentation static method)
(super_gradients.training.datasets.DataAugmentation static method)
Top5 (class in super_gradients.training.metrics)
TOP5 (super_gradients.training.metrics.Metrics attribute)
top_k_predictions (super_gradients.training.metrics.DetectionMetrics attribute)
ToPILImage (super_gradients.training.transforms.Transforms attribute)
torch_version_is_greater_or_equal() (in module super_gradients.training.utils)
total (super_gradients.training.metrics.Accuracy attribute)
ToTensor (super_gradients.training.transforms.Transforms attribute)
ToyTestClassificationMetric (class in super_gradients.training.metrics)
train() (super_gradients.training.kd_trainer.KDTrainer method)
(super_gradients.training.KDTrainer method)
(super_gradients.training.sg_trainer.Trainer method)
,
[1]
(super_gradients.training.Trainer method)
,
[1]
train_from_config() (super_gradients.training.kd_trainer.KDTrainer class method)
(super_gradients.training.KDTrainer class method)
(super_gradients.training.sg_trainer.Trainer class method)
(super_gradients.training.Trainer class method)
Trainer (class in super_gradients.training)
(class in super_gradients.training.sg_trainer)
training (super_gradients.training.losses.BCEDiceLoss attribute)
(super_gradients.training.losses.YoloXFastDetectionLoss attribute)
(super_gradients.training.metrics.BinaryDice attribute)
(super_gradients.training.metrics.BinaryIOU attribute)
(super_gradients.training.utils.WrappedModel attribute)
Transforms (class in super_gradients.training.transforms)
translate (super_gradients.training.transforms.DetectionRandomAffine attribute)
U
update() (super_gradients.training.metrics.Accuracy method)
(super_gradients.training.metrics.DetectionMetrics method)
(super_gradients.training.metrics.Dice method)
(super_gradients.training.metrics.IoU method)
(super_gradients.training.metrics.PixelAccuracy method)
(super_gradients.training.metrics.Top5 method)
(super_gradients.training.metrics.ToyTestClassificationMetric method)
upload_buffer() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
upload_file() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
upload_file_from_stream() (super_gradients.common.data_connection.S3Connector method)
(super_gradients.common.S3Connector method)
UpsampleMode (class in super_gradients.common)
(class in super_gradients.common.data_types)
use_l1 (super_gradients.training.losses.YoloXDetectionLoss attribute)
V
validate() (super_gradients.training.utils.HpmStruct method)
VALIDATION (super_gradients.common.data_types.EvaluationType attribute)
(super_gradients.common.EvaluationType attribute)
(super_gradients.training.EvaluationType attribute)
W
wh_thr (super_gradients.training.transforms.DetectionRandomAffine attribute)
WrappedModel (class in super_gradients.training.utils)
Y
YOLOX_FAST_LOSS (super_gradients.training.losses.Losses attribute)
YOLOX_LOSS (super_gradients.training.losses.Losses attribute)
YoloXDetectionLoss (class in super_gradients.training.losses)
YoloXFastDetectionLoss (class in super_gradients.training.losses)