Index

A

AddEcho (class in koogu.data.augmentations.Temporal) AddGaussianNoise (class in koogu.data.augmentations.Temporal) AlterDistance (class in koogu.data.augmentations.SpectroTemporal) analyze_clips() (in module koogu.inference) apply_chain() (koogu.data.augmentations.SpectroTemporal static method) (koogu.data.augmentations.Temporal static method)

assess() (koogu.utils.assessments.BaseMetric method) (koogu.utils.assessments.PrecisionRecall method) assess_annotations_and_clips_match() (in module koogu.utils.detections) assess_annotations_and_detections_match() (in module koogu.utils.detections) Audio2Spectral (class in koogu.data.tf_transformations) audio_settings (koogu.model.TrainedModel property)

B

BaseArchitecture (class in koogu.model.architectures) BaseFeeder (class in koogu.data.feeder)

BaseMetric (class in koogu.utils.assessments) build_network() (koogu.model.architectures.BaseArchitecture method)

C

class_names (koogu.data.feeder.BaseFeeder property) (koogu.model.TrainedModel property)

classes_list (koogu.utils.detections.LabelHelper property) ConvNet (class in koogu.model.architectures)

D

data_shape (koogu.data.feeder.BaseFeeder property)

DataFeeder (class in koogu.data.feeder) DenseNet (class in koogu.model.architectures)

F

from_selection_table_map() (in module koogu.data.preprocess)

from_top_level_dirs() (in module koogu.data.preprocess)

G

GaussianBlur (class in koogu.data.tf_transformations)

get_shape_transformation_info() (koogu.data.feeder.BaseFeeder method)

I

infer() (koogu.model.TrainedModel method)

K

koogu.data.preprocess module koogu.data.tf_transformations module koogu.inference module

koogu.model.architectures module koogu.utils.detections module

L

LabelHelper (class in koogu.utils.detections)

labels_to_indices (koogu.utils.detections.LabelHelper property) Linear2dB (class in koogu.data.tf_transformations)

M

make_dataset() (koogu.data.feeder.BaseFeeder method) module koogu.data.preprocess koogu.data.tf_transformations koogu.inference koogu.model.architectures koogu.utils.detections

N

negative_class_index (koogu.utils.detections.LabelHelper property)

num_classes (koogu.data.feeder.BaseFeeder property)

P

post_transform() (koogu.data.feeder.BaseFeeder method) postprocess_detections() (in module koogu.utils.detections)

pre_transform() (koogu.data.feeder.BaseFeeder method) PrecisionRecall (class in koogu.utils.assessments)

R

RampVolume (class in koogu.data.augmentations.Temporal)

recognize() (in module koogu.inference)

S

SelectionTableReader (class in koogu.utils.detections) ShiftPitch (class in koogu.data.augmentations.Temporal) SmearFrequency (class in koogu.data.augmentations.SpectroTemporal) SmearTime (class in koogu.data.augmentations.SpectroTemporal)

Spec2Img (class in koogu.data.tf_transformations) spec_settings (koogu.model.TrainedModel property) SpectralDataFeeder (class in koogu.data.feeder) SquishFrequency (class in koogu.data.augmentations.SpectroTemporal) SquishTime (class in koogu.data.augmentations.SpectroTemporal)

T

train() (in module koogu) TrainedModel (class in koogu.model)

training_samples (koogu.data.feeder.BaseFeeder property) training_samples_per_class (koogu.data.feeder.BaseFeeder property) transform() (koogu.data.feeder.BaseFeeder method)

V

validation_samples (koogu.data.feeder.BaseFeeder property)

validation_samples_per_class (koogu.data.feeder.BaseFeeder property)