Index

_

__call__() (easypl.lr_schedulers.wrapper.WrapperScheduler method) (easypl.optimizers.wrapper.WrapperOptimizer method) __getitem__() (easypl.datasets.base.PathBaseDataset method) (easypl.datasets.classification.csv.CSVDatasetClassification method) (easypl.datasets.classification.dir.DirDatasetClassification method) (easypl.datasets.detection.csv.CSVDatasetDetection method) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation method) __len__() (easypl.datasets.base.PathBaseDataset method) (easypl.datasets.classification.csv.CSVDatasetClassification method) (easypl.datasets.classification.dir.DirDatasetClassification method) (easypl.datasets.detection.csv.CSVDatasetDetection method) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation method) _log_on_disk() (easypl.callbacks.loggers.base.BaseSampleLogger method) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger method) (easypl.callbacks.loggers.image_detection.DetectionImageLogger method) (easypl.callbacks.loggers.image_gan.GANImageLogger method) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger method)

_log_tensorboard() (easypl.callbacks.loggers.base.BaseSampleLogger method) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger method) (easypl.callbacks.loggers.image_detection.DetectionImageLogger method) (easypl.callbacks.loggers.image_gan.GANImageLogger method) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger method) _log_wandb() (easypl.callbacks.loggers.base.BaseSampleLogger method) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger method) (easypl.callbacks.loggers.image_detection.DetectionImageLogger method) (easypl.callbacks.loggers.image_gan.GANImageLogger method) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger method) _post_init() (easypl.callbacks.loggers.base.BaseSampleLogger method) (easypl.callbacks.loggers.base_image.BaseImageLogger method) _read_image() (easypl.datasets.base.PathBaseDataset method)

A

alpha (easypl.callbacks.mixers.cutmix.Cutmix attribute) (easypl.callbacks.mixers.mixup.Mixup attribute) augment() (easypl.callbacks.predictors.base.BaseTestTimeAugmentation method) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation method) augmentation (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) augmentation_method (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.base_image.BaseImageTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute)

augmentations (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.base_image.BaseImageTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) average (easypl.metrics.segmentation.pixel_level.PixelLevelAccuracy attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelBase attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelF1 attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelFBeta attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelPrecision attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelRecall attribute)

B

background_class (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) BaseDetectionMetric (class in easypl.metrics.detection.base) BaseImageLogger (class in easypl.callbacks.loggers.base_image) BaseImageTestTimeAugmentation (class in easypl.callbacks.predictors.base_image) BaseLearner (class in easypl.learners.base) BaseSampleLogger (class in easypl.callbacks.loggers.base) BaseTestTimeAugmentation (class in easypl.callbacks.predictors.base) batch (easypl.learners.base.BaseLearner attribute), [1] (easypl.learners.classification.ClassificationLearner attribute), [1] (easypl.learners.detection.DetectionLearner attribute), [1] (easypl.learners.gan.GANLearner attribute), [1] (easypl.learners.recognition.RecognitionLearner attribute), [1] (easypl.learners.segmentation.SegmentationLearner attribute), [1]

batch_size (easypl.metrics.classification.search_accuracy.SearchAccuracy attribute) (easypl.metrics.classification.search_mean_average_precision.SearchMAP attribute) beta (easypl.metrics.detection.f_beta.FBetaDetection attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelFBeta attribute)

C

class_metrics (easypl.metrics.detection.mean_average_precision.MAP attribute) class_names (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) (easypl.metrics.torch.TorchMetric attribute) ClassificationImageLogger (class in easypl.callbacks.loggers.image_classification) ClassificationImageTestTimeAugmentation (class in easypl.callbacks.predictors.image_classification) ClassificationLearner (class in easypl.learners.classification)

clone() (easypl.metrics.base.MetricsList method) confidence (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.metrics.detection.base.BaseDetectionMetric attribute) (easypl.metrics.detection.f_beta.FBetaDetection attribute) csv_path (easypl.datasets.classification.csv.CSVDatasetClassification attribute) (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute) CSVDatasetClassification (class in easypl.datasets.classification.csv) CSVDatasetDetection (class in easypl.datasets.detection.csv) CSVDatasetSegmentation (class in easypl.datasets.segmentation.csv) Cutmix (class in easypl.callbacks.mixers.cutmix)

D

data_keys (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute) dataloader_idx (easypl.callbacks.loggers.base.BaseSampleLogger attribute), [1], [2] (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute), [1], [2] (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute), [1], [2] (easypl.callbacks.loggers.image_gan.GANImageLogger attribute), [1], [2] (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute), [1], [2] (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute), [1] (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute), [1] DetectionImageLogger (class in easypl.callbacks.loggers.image_detection)

DetectionLearner (class in easypl.learners.detection) DiceLoss (class in easypl.losses.segmentation.diceloss) dir_path (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) DirDatasetClassification (class in easypl.datasets.classification.dir) distance (easypl.metrics.classification.search_accuracy.SearchAccuracy attribute) (easypl.metrics.classification.search_mean_average_precision.SearchMAP attribute) domen (easypl.callbacks.mixers.cutmix.Cutmix attribute) (easypl.callbacks.mixers.mixup.Mixup attribute) (easypl.callbacks.mixers.mosaic.Mosaic attribute) dpi (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute)

E

eps (easypl.metrics.detection.f_beta.FBetaDetection attribute) epsilon (easypl.metrics.segmentation.pixel_level.PixelLevelF1 attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelFBeta attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelPrecision attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelRecall attribute)

F

FBetaDetection (class in easypl.metrics.detection.f_beta) forward() (easypl.learners.classification.ClassificationLearner method) (easypl.learners.detection.DetectionLearner method) (easypl.learners.gan.GANLearner method) (easypl.learners.recognition.RecognitionLearner method) (easypl.learners.segmentation.SegmentationLearner method)

G

GANImageLogger (class in easypl.callbacks.loggers.image_gan) GANLearner (class in easypl.learners.gan) get_outputs() (easypl.learners.base.BaseLearner method) (easypl.learners.classification.ClassificationLearner method) (easypl.learners.detection.DetectionLearner method) (easypl.learners.gan.GANLearner method) (easypl.learners.recognition.RecognitionLearner method) (easypl.learners.segmentation.SegmentationLearner method)

get_targets() (easypl.learners.base.BaseLearner method) (easypl.learners.classification.ClassificationLearner method) (easypl.learners.detection.DetectionLearner method) (easypl.learners.gan.GANLearner method) (easypl.learners.recognition.RecognitionLearner method) (easypl.learners.segmentation.SegmentationLearner method)

I

idx (easypl.datasets.base.PathBaseDataset attribute) (easypl.datasets.classification.csv.CSVDatasetClassification attribute) (easypl.datasets.classification.dir.DirDatasetClassification attribute) (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute) ignore_index (easypl.losses.segmentation.diceloss.DiceLoss attribute) image_column (easypl.datasets.classification.csv.CSVDatasetClassification attribute) (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute)

image_id (easypl.datasets.base.PathBaseDataset attribute) image_prefix (easypl.datasets.base.PathBaseDataset attribute), [1] (easypl.datasets.classification.csv.CSVDatasetClassification attribute) (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute) image_read_kwargs (easypl.datasets.base.PathBaseDataset attribute) iou_threshold (easypl.metrics.detection.base.BaseDetectionMetric attribute) (easypl.metrics.detection.f_beta.FBetaDetection attribute) iou_thresholds (easypl.metrics.detection.mean_average_precision.MAP attribute)

K

k (easypl.metrics.classification.search_accuracy.SearchAccuracy attribute) (easypl.metrics.classification.search_mean_average_precision.SearchMAP attribute) kwargs (easypl.losses.segmentation.diceloss.DiceLoss attribute) (easypl.metrics.detection.base.BaseDetectionMetric attribute) (easypl.metrics.detection.f_beta.FBetaDetection attribute) (easypl.metrics.detection.mean_average_precision.MAP attribute) (easypl.optimizers.wrapper.WrapperOptimizer attribute)

L

label_parser (easypl.datasets.classification.dir.DirDatasetClassification attribute) largest (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) (easypl.metrics.classification.search_accuracy.SearchAccuracy attribute) (easypl.metrics.classification.search_mean_average_precision.SearchMAP attribute) loss (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute)

loss_step() (easypl.learners.base.BaseLearner method) (easypl.learners.classification.ClassificationLearner method) (easypl.learners.detection.DetectionLearner method) (easypl.learners.gan.GANLearner method) (easypl.learners.recognition.RecognitionLearner method) (easypl.learners.segmentation.SegmentationLearner method) lr_scheduler (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute)

M

MAP (class in easypl.metrics.detection.mean_average_precision) mask_prefix (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute) max_detection_thresholds (easypl.metrics.detection.mean_average_precision.MAP attribute) max_detections_per_image (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) max_log_classes (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) max_samples (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) metric (easypl.metrics.torch.TorchMetric attribute) metric_formatting() (easypl.callbacks.predictors.base.BaseTestTimeAugmentation method) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation method) MetricsList (class in easypl.metrics.base) mix() (easypl.callbacks.mixers.base.MixBaseCallback method) (easypl.callbacks.mixers.cutmix.Cutmix method) (easypl.callbacks.mixers.mixup.Mixup method) (easypl.callbacks.mixers.mosaic.Mosaic method)

MixBaseCallback (class in easypl.callbacks.mixers.base) Mixup (class in easypl.callbacks.mixers.mixup) mode (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) model (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute) Mosaic (class in easypl.callbacks.mixers.mosaic) multilabel (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute)

N

n (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.base_image.BaseImageTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) n_mosaics (easypl.callbacks.mixers.mosaic.Mosaic attribute) num_classes (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) (easypl.metrics.detection.base.BaseDetectionMetric attribute) (easypl.metrics.detection.f_beta.FBetaDetection attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelAccuracy attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelBase attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelF1 attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelFBeta attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelPrecision attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelRecall attribute)

num_workers (easypl.callbacks.mixers.base.MixBaseCallback attribute) (easypl.callbacks.mixers.cutmix.Cutmix attribute) (easypl.callbacks.mixers.mixup.Mixup attribute) (easypl.callbacks.mixers.mosaic.Mosaic attribute)

O

on_batch (easypl.callbacks.mixers.base.MixBaseCallback attribute) (easypl.callbacks.mixers.cutmix.Cutmix attribute) (easypl.callbacks.mixers.mixup.Mixup attribute) (easypl.callbacks.mixers.mosaic.Mosaic attribute) optimizer (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute) (easypl.lr_schedulers.wrapper.WrapperScheduler attribute) optimizer_cls (easypl.optimizers.wrapper.WrapperOptimizer attribute)

optimizer_idx (easypl.learners.classification.ClassificationLearner attribute), [1], [2] (easypl.learners.detection.DetectionLearner attribute), [1], [2] (easypl.learners.gan.GANLearner attribute), [1], [2] (easypl.learners.recognition.RecognitionLearner attribute), [1], [2] (easypl.learners.segmentation.SegmentationLearner attribute), [1], [2] outputs (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute)

P

p (easypl.callbacks.mixers.base.MixBaseCallback attribute) (easypl.callbacks.mixers.cutmix.Cutmix attribute) (easypl.callbacks.mixers.mixup.Mixup attribute) (easypl.callbacks.mixers.mosaic.Mosaic attribute) params (easypl.optimizers.wrapper.WrapperOptimizer attribute) path_transform (easypl.datasets.base.PathBaseDataset attribute) (easypl.datasets.classification.csv.CSVDatasetClassification attribute) (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute) PathBaseDataset (class in easypl.datasets.base) phase (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.base_image.BaseImageTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute)

PixelLevelAccuracy (class in easypl.metrics.segmentation.pixel_level) PixelLevelBase (class in easypl.metrics.segmentation.pixel_level) PixelLevelF1 (class in easypl.metrics.segmentation.pixel_level) PixelLevelFBeta (class in easypl.metrics.segmentation.pixel_level) PixelLevelPrecision (class in easypl.metrics.segmentation.pixel_level) PixelLevelRecall (class in easypl.metrics.segmentation.pixel_level) pl_module (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.base_image.BaseImageTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) post_init() (easypl.callbacks.predictors.base.BaseTestTimeAugmentation method) (easypl.callbacks.predictors.base_image.BaseImageTestTimeAugmentation method) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation method) postprocessing (easypl.learners.detection.DetectionLearner attribute) postprocessing() (easypl.callbacks.predictors.base.BaseTestTimeAugmentation method) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation method) preprocessing() (easypl.callbacks.predictors.base.BaseTestTimeAugmentation method) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation method)

R

rec_thresholds (easypl.metrics.detection.mean_average_precision.MAP attribute) RecognitionLearner (class in easypl.learners.recognition) reduce() (easypl.callbacks.predictors.base.BaseTestTimeAugmentation method) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation method) reduce_method (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) reset() (easypl.metrics.detection.base.BaseDetectionMetric method) (easypl.metrics.detection.mean_average_precision.MAP method)

return_label (easypl.datasets.classification.csv.CSVDatasetClassification attribute) (easypl.datasets.classification.dir.DirDatasetClassification attribute) (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute) root_path (easypl.datasets.classification.dir.DirDatasetClassification attribute)

S

sample (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute), [1], [2] (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute), [1], [2] sample1 (easypl.callbacks.mixers.base.MixBaseCallback attribute) (easypl.callbacks.mixers.cutmix.Cutmix attribute) (easypl.callbacks.mixers.mixup.Mixup attribute) (easypl.callbacks.mixers.mosaic.Mosaic attribute) sample2 (easypl.callbacks.mixers.base.MixBaseCallback attribute) (easypl.callbacks.mixers.cutmix.Cutmix attribute) (easypl.callbacks.mixers.mixup.Mixup attribute) (easypl.callbacks.mixers.mosaic.Mosaic attribute) sample_key (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) samples (easypl.callbacks.loggers.base.BaseSampleLogger attribute), [1], [2] (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute), [1], [2] (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute), [1], [2] (easypl.callbacks.loggers.image_gan.GANImageLogger attribute), [1], [2] (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute), [1], [2]

samples_per (easypl.callbacks.mixers.base.MixBaseCallback attribute) save_on_disk (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) scheduler_class (easypl.lr_schedulers.wrapper.WrapperScheduler attribute) score_func (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.loggers.image_classification.ClassificationImageLogger attribute) (easypl.callbacks.loggers.image_detection.DetectionImageLogger attribute) (easypl.callbacks.loggers.image_gan.GANImageLogger attribute) (easypl.callbacks.loggers.image_segmentation.SegmentationImageLogger attribute) SearchAccuracy (class in easypl.metrics.classification.search_accuracy) SearchMAP (class in easypl.metrics.classification.search_mean_average_precision) SegmentationImageLogger (class in easypl.callbacks.loggers.image_segmentation) SegmentationLearner (class in easypl.learners.segmentation) sequence (easypl.callbacks.finetuners.sequential_tuner.SequentialFinetuning attribute) SequentialFinetuning (class in easypl.callbacks.finetuners.sequential_tuner)

T

target_column (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute) target_columns (easypl.datasets.classification.csv.CSVDatasetClassification attribute) target_keys (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute) targets (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute) tensor (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) test_metrics (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute)

threshold (easypl.metrics.segmentation.pixel_level.PixelLevelAccuracy attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelBase attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelF1 attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelFBeta attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelPrecision attribute) (easypl.metrics.segmentation.pixel_level.PixelLevelRecall attribute) TorchMetric (class in easypl.metrics.torch) train_metrics (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute) trainer (easypl.callbacks.loggers.base.BaseSampleLogger attribute) (easypl.callbacks.loggers.base_image.BaseImageLogger attribute) (easypl.callbacks.predictors.base.BaseTestTimeAugmentation attribute) (easypl.callbacks.predictors.base_image.BaseImageTestTimeAugmentation attribute) (easypl.callbacks.predictors.image_classification.ClassificationImageTestTimeAugmentation attribute) transform (easypl.datasets.base.PathBaseDataset attribute) (easypl.datasets.classification.csv.CSVDatasetClassification attribute) (easypl.datasets.classification.dir.DirDatasetClassification attribute) (easypl.datasets.detection.csv.CSVDatasetDetection attribute) (easypl.datasets.segmentation.csv.CSVDatasetSegmentation attribute)

V

val_metrics (easypl.learners.base.BaseLearner attribute) (easypl.learners.classification.ClassificationLearner attribute) (easypl.learners.detection.DetectionLearner attribute) (easypl.learners.gan.GANLearner attribute) (easypl.learners.recognition.RecognitionLearner attribute) (easypl.learners.segmentation.SegmentationLearner attribute)

W

weight (easypl.losses.segmentation.diceloss.DiceLoss attribute)

WrapperOptimizer (class in easypl.optimizers.wrapper) WrapperScheduler (class in easypl.lr_schedulers.wrapper)