Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | V | W _ __call__() (callcut.extractors.BaseExtractor method) (callcut.extractors.SNRExtractor method) A add_file_handler() (in module callcut) alpha (callcut.training.FocalLoss property) (callcut.training.TverskyLoss property) B band_high (callcut.extractors.SNRExtractor property) band_low (callcut.extractors.SNRExtractor property) base (callcut.nn.TinySegCNN property) BaseDecoder (class in callcut.evaluation) BaseDetector (class in callcut.nn) BaseExtractor (class in callcut.extractors) BaseIntervalMatcher (class in callcut.evaluation) baseline_s (callcut.extractors.SNRExtractor property) BaseLoss (class in callcut.training) BCEWithLogitsLoss (class in callcut.training) beta (callcut.training.TverskyLoss property) BoundaryAccuracy (class in callcut.evaluation) C CallDataModule (class in callcut.training) CallDataset (class in callcut.io) CallDetectorModule (class in callcut.training) compute_boundary_accuracy() (in module callcut.evaluation) compute_event_metrics() (in module callcut.evaluation) compute_frame_metrics() (in module callcut.evaluation) compute_pos_weight() (callcut.io.CallDataset method) configure_optimizers() (callcut.training.CallDetectorModule method) D decode() (callcut.evaluation.BaseDecoder method) (callcut.evaluation.HysteresisDecoder method) DiceLoss (class in callcut.training) duration (callcut.evaluation.Interval property) E enter_threshold (callcut.evaluation.HysteresisDecoder property) estimate_frames() (callcut.io.RecordingInfo method) estimate_windows() (callcut.io.RecordingInfo method) evaluate_recordings() (in module callcut.pipeline) EvaluationReport (class in callcut.pipeline) EventMetrics (class in callcut.evaluation) exit_threshold (callcut.evaluation.HysteresisDecoder property) extract() (callcut.extractors.BaseExtractor method) (callcut.extractors.SNRExtractor method) extractor (callcut.io.CallDataset property) (callcut.training.CallDataModule property) F FocalLoss (class in callcut.training) forward() (callcut.nn.BaseDetector method) (callcut.nn.TinySegCNN method) (callcut.training.BaseLoss method) (callcut.training.BCEWithLogitsLoss method) (callcut.training.CallDetectorModule method) (callcut.training.DiceLoss method) (callcut.training.FocalLoss method) (callcut.training.TverskyLoss method) frame_rate (callcut.extractors.BaseExtractor property) (callcut.extractors.SNRExtractor property) FrameMetrics (class in callcut.evaluation) frames_to_seconds() (callcut.extractors.BaseExtractor method) (callcut.extractors.SNRExtractor method) G gamma (callcut.training.FocalLoss property) H history (callcut.training.MetricsHistoryCallback property) hop_ms (callcut.extractors.BaseExtractor property) (callcut.extractors.SNRExtractor property) hop_s (callcut.extractors.BaseExtractor property) (callcut.extractors.SNRExtractor property) HysteresisDecoder (class in callcut.evaluation) I Interval (class in callcut.evaluation) intervals_to_frame_labels() (in module callcut.io) iou_threshold (callcut.evaluation.IoUMatcher property) IoUMatcher (class in callcut.evaluation) L load_annotations() (in module callcut.io) load_audio() (in module callcut.io) load_pipeline() (in module callcut.pipeline) LoggingCallback (class in callcut.training) loss (callcut.training.CallDetectorModule property) M Match (class in callcut.evaluation) match() (callcut.evaluation.BaseIntervalMatcher method) (callcut.evaluation.IoUMatcher method) MetricsHistoryCallback (class in callcut.training) min_duration_s (callcut.evaluation.HysteresisDecoder property) min_gap_s (callcut.evaluation.HysteresisDecoder property) model (callcut.training.CallDetectorModule property) N n_bands (callcut.extractors.SNRExtractor property) (callcut.nn.BaseDetector property) n_features (callcut.extractors.BaseExtractor property) (callcut.extractors.SNRExtractor property) n_recordings (callcut.io.CallDataset property) (callcut.training.CallDataModule property) n_windows (callcut.io.CallDataset property) normalize (callcut.extractors.SNRExtractor property) O on_train_epoch_end() (callcut.training.LoggingCallback method) (callcut.training.MetricsHistoryCallback method) on_validation_epoch_end() (callcut.training.SaveBestModelCallback method) P pad_s (callcut.evaluation.HysteresisDecoder property) pos_weight (callcut.training.BCEWithLogitsLoss property) predict() (callcut.nn.BaseDetector method) predict_recordings() (in module callcut.pipeline) R receptive_field (callcut.nn.BaseDetector property) (callcut.nn.TinySegCNN property) RecordingEvaluation (class in callcut.pipeline) RecordingInfo (class in callcut.io) RecordingPrediction (class in callcut.pipeline) recordings (callcut.io.CallDataset property) S sample_rate (callcut.extractors.BaseExtractor property) (callcut.extractors.SNRExtractor property) save_pipeline() (in module callcut.pipeline) SaveBestModelCallback (class in callcut.training) scan_recordings() (in module callcut.io) seconds_to_frames() (callcut.extractors.BaseExtractor method) (callcut.extractors.SNRExtractor method) set_log_level() (in module callcut) setup() (callcut.training.CallDataModule method) smooth (callcut.training.DiceLoss property) (callcut.training.TverskyLoss property) SNRExtractor (class in callcut.extractors) T test_recordings (callcut.training.CallDataModule property) TinySegCNN (class in callcut.nn) train_dataloader() (callcut.training.CallDataModule method) train_dataset (callcut.training.CallDataModule property) train_recordings (callcut.training.CallDataModule property) training_step() (callcut.training.CallDetectorModule method) TverskyLoss (class in callcut.training) V val_dataloader() (callcut.training.CallDataModule method) val_dataset (callcut.training.CallDataModule property) val_recordings (callcut.training.CallDataModule property) validation_step() (callcut.training.CallDetectorModule method) W win_ms (callcut.extractors.SNRExtractor property) window_frames (callcut.io.CallDataset property) (callcut.nn.BaseDetector property) window_hop_frames (callcut.io.CallDataset property) window_hop_s (callcut.io.CallDataset property) window_s (callcut.io.CallDataset property)