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A
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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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I
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K
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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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__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)
_read_image() (easypl.datasets.base.PathBaseDataset method)
A
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
BaseDetectionMetric (class in easypl.metrics.detection.base)
BaseLearner (class in easypl.learners.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.metrics.torch.TorchMetric attribute)
ClassificationLearner (class in easypl.learners.classification)
clone() (easypl.metrics.base.MetricsList method)
confidence (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)
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)
DetectionLearner (class in easypl.learners.detection)
DiceLoss (class in easypl.losses.segmentation.diceloss)
DirDatasetClassification (class in easypl.datasets.classification.dir)
distance (easypl.metrics.classification.search_accuracy.SearchAccuracy attribute)
(easypl.metrics.classification.search_mean_average_precision.SearchMAP 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
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_info_key (easypl.learners.detection.DetectionLearner 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.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)
metric (easypl.metrics.torch.TorchMetric attribute)
MetricsList (class in easypl.metrics.base)
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)
multilabel (easypl.learners.classification.ClassificationLearner attribute)
(easypl.learners.recognition.RecognitionLearner attribute)
(easypl.learners.segmentation.SegmentationLearner attribute)
N
num_classes (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)
O
on_test_epoch_end() (easypl.learners.base.BaseLearner method)
on_train_epoch_end() (easypl.learners.base.BaseLearner method)
on_validation_epoch_end() (easypl.learners.base.BaseLearner method)
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.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
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)
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)
postprocessing (easypl.learners.detection.DetectionLearner attribute)
R
rec_thresholds (easypl.metrics.detection.mean_average_precision.MAP attribute)
RecognitionLearner (class in easypl.learners.recognition)
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
scheduler_class (easypl.lr_schedulers.wrapper.WrapperScheduler attribute)
SearchAccuracy (class in easypl.metrics.classification.search_accuracy)
SearchMAP (class in easypl.metrics.classification.search_mean_average_precision)
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.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)
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)
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)
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