Index

A

add() (kraken.lib.dataset.ArrowIPCRecognitionDataset method) (kraken.lib.dataset.BaselineSet method) (kraken.lib.dataset.GroundTruthDataset method) (kraken.lib.dataset.PolygonGTDataset method) add_codec() (kraken.lib.vgsl.TorchVGSLModel method) add_labels() (kraken.lib.codec.PytorchCodec method) add_line() (kraken.lib.dataset.GroundTruthDataset method) (kraken.lib.dataset.PolygonGTDataset method) add_page() (kraken.lib.dataset.GroundTruthDataset method) (kraken.lib.dataset.PolygonGTDataset method) (kraken.transcribe.TranscriptionInterface method)

alphabet (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PolygonGTDataset attribute) append() (kraken.lib.vgsl.TorchVGSLModel method) arrow_table (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) ArrowIPCRecognitionDataset (class in kraken.lib.dataset) aug (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.BaselineSet attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PolygonGTDataset attribute) automatic_optimization (kraken.lib.train.KrakenTrainer attribute) aux_layers (kraken.lib.vgsl.TorchVGSLModel property)

B

base_dir (kraken.containers.BaselineLine attribute), [1] (kraken.containers.BaselineOCRRecord attribute), [1] (kraken.containers.BBoxLine attribute), [1] (kraken.containers.BBoxOCRRecord attribute), [1] (kraken.containers.ocr_record attribute) baseline (kraken.containers.BaselineLine attribute), [1] BaselineLine (class in kraken.containers) BaselineOCRRecord (class in kraken.containers) BaselineSet (class in kraken.lib.dataset) batch (kraken.lib.dataset.ImageInputTransforms property) bbox (kraken.containers.BBoxLine attribute), [1] BBoxLine (class in kraken.containers) BBoxOCRRecord (class in kraken.containers) beam_decoder() (in module kraken.lib.ctc_decoder) bidi_reordering (kraken.rpred.mm_rpred attribute)

blank_threshold_decoder() (in module kraken.lib.ctc_decoder) boundary (kraken.containers.BaselineLine attribute), [1] bounds (kraken.rpred.mm_rpred attribute) build_addition() (kraken.lib.vgsl.TorchVGSLModel method) build_conv() (kraken.lib.vgsl.TorchVGSLModel method) build_dropout() (kraken.lib.vgsl.TorchVGSLModel method) build_groupnorm() (kraken.lib.vgsl.TorchVGSLModel method) build_identity() (kraken.lib.vgsl.TorchVGSLModel method) build_maxpool() (kraken.lib.vgsl.TorchVGSLModel method) build_output() (kraken.lib.vgsl.TorchVGSLModel method) build_parallel() (kraken.lib.vgsl.TorchVGSLModel method) build_reshape() (kraken.lib.vgsl.TorchVGSLModel method) build_rnn() (kraken.lib.vgsl.TorchVGSLModel method) build_ro() (kraken.lib.vgsl.TorchVGSLModel method) build_series() (kraken.lib.vgsl.TorchVGSLModel method) build_wav2vec2() (kraken.lib.vgsl.TorchVGSLModel method)

C

c_sorted (kraken.lib.codec.PytorchCodec attribute) calculate_polygonal_environment() (in module kraken.lib.segmentation) category (kraken.containers.ProcessingStep attribute), [1] centerline_norm (kraken.lib.dataset.ImageInputTransforms property) channels (kraken.lib.dataset.ImageInputTransforms property) class_mapping (kraken.lib.dataset.BaselineSet attribute) class_stats (kraken.lib.dataset.BaselineSet attribute) codec (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.models.TorchSeqRecognizer attribute) (kraken.lib.vgsl.TorchVGSLModel attribute)

collate_sequences() (in module kraken.lib.dataset) compute_confusions() (in module kraken.lib.dataset) compute_polygon_section() (in module kraken.lib.segmentation) confidences (kraken.containers.BaselineOCRRecord attribute) (kraken.containers.BBoxOCRRecord attribute) (kraken.containers.ocr_record property) criterion (kraken.lib.vgsl.TorchVGSLModel attribute), [1] cuts (kraken.containers.BaselineOCRRecord attribute) (kraken.containers.BaselineOCRRecord property) (kraken.containers.BBoxOCRRecord attribute) (kraken.containers.ocr_record property)

D

data (kraken.lib.dataset.PageWiseROSet attribute) (kraken.lib.dataset.PairWiseROSet attribute) decode() (kraken.lib.codec.PytorchCodec method) decoder (kraken.lib.models.TorchSeqRecognizer attribute) description (kraken.containers.ProcessingStep attribute), [1]

device (kraken.lib.models.TorchSeqRecognizer attribute) display_order (kraken.containers.BaselineOCRRecord attribute) (kraken.containers.BBoxOCRRecord attribute) display_order() (kraken.containers.BaselineOCRRecord method) (kraken.containers.BBoxOCRRecord method) (kraken.containers.ocr_record method)

E

encode() (kraken.lib.codec.PytorchCodec method) (kraken.lib.dataset.ArrowIPCRecognitionDataset method) (kraken.lib.dataset.GroundTruthDataset method) (kraken.lib.dataset.PolygonGTDataset method)

eval() (kraken.lib.vgsl.TorchVGSLModel method) extract_polygons() (in module kraken.lib.segmentation)

F

failed_samples (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.BaselineSet attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PageWiseROSet attribute) (kraken.lib.dataset.PairWiseROSet attribute) (kraken.lib.dataset.PolygonGTDataset attribute)

fit() (kraken.lib.train.KrakenTrainer method) font (kraken.transcribe.TranscriptionInterface attribute) force_binarization (kraken.lib.dataset.ImageInputTransforms property) forward() (kraken.lib.models.TorchSeqRecognizer method)

G

get_feature_dim() (kraken.lib.dataset.PageWiseROSet method) (kraken.lib.dataset.PairWiseROSet method)

global_align() (in module kraken.lib.dataset) greedy_decoder() (in module kraken.lib.ctc_decoder) GroundTruthDataset (class in kraken.lib.dataset)

H

height (kraken.lib.dataset.ImageInputTransforms property) (kraken.lib.exceptions.KrakenCairoSurfaceException attribute), [1]

hyper_params (kraken.lib.vgsl.TorchVGSLModel property)

I

id (kraken.containers.BaselineLine attribute), [1] (kraken.containers.BBoxLine attribute), [1] (kraken.containers.ProcessingStep attribute), [1] idx (kraken.lib.vgsl.TorchVGSLModel attribute) im (kraken.rpred.mm_rpred attribute) im_mode (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.BaselineSet attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PolygonGTDataset attribute)

ImageInputTransforms (class in kraken.lib.dataset) imagename (kraken.containers.BaselineLine attribute), [1] (kraken.containers.BBoxLine attribute), [1] (kraken.containers.Segmentation attribute), [1] imgs (kraken.lib.dataset.BaselineSet attribute) init_weights() (kraken.lib.vgsl.TorchVGSLModel method) input (kraken.lib.vgsl.TorchVGSLModel attribute), [1] is_valid (kraken.lib.codec.PytorchCodec property)

K

kind (kraken.lib.models.TorchSeqRecognizer attribute) KrakenCairoSurfaceException (class in kraken.lib.exceptions) KrakenCodecException (class in kraken.lib.exceptions) KrakenEncodeException (class in kraken.lib.exceptions) KrakenInputException (class in kraken.lib.exceptions)

KrakenInvalidModelException (class in kraken.lib.exceptions) KrakenRecordException (class in kraken.lib.exceptions) KrakenRepoException (class in kraken.lib.exceptions) KrakenStopTrainingException (class in kraken.lib.exceptions) KrakenTrainer (class in kraken.lib.train)

L

l2c (kraken.lib.codec.PytorchCodec attribute) l2c_single (kraken.lib.codec.PytorchCodec attribute) legacy_polygons (kraken.lib.dataset.PolygonGTDataset attribute) legacy_polygons_status (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) len (kraken.rpred.mm_rpred attribute) line_idx (kraken.transcribe.TranscriptionInterface attribute) line_iter (kraken.rpred.mm_rpred attribute)

line_orders (kraken.containers.Segmentation attribute), [1] line_width (kraken.lib.dataset.BaselineSet attribute) lines (kraken.containers.Segmentation attribute), [1] load_any() (in module kraken.lib.models) load_model() (kraken.lib.vgsl.TorchVGSLModel class method) logical_order() (kraken.containers.BaselineOCRRecord method) (kraken.containers.BBoxOCRRecord method) (kraken.containers.ocr_record method)

M

max_label (kraken.lib.codec.PytorchCodec property) mbl_dict (kraken.lib.dataset.BaselineSet attribute) merge() (kraken.lib.codec.PytorchCodec method) message (kraken.lib.exceptions.KrakenCairoSurfaceException attribute), [1]

mm_rpred (class in kraken.rpred) mode (kraken.lib.dataset.ImageInputTransforms property) model_type (kraken.lib.vgsl.TorchVGSLModel property) mreg_dict (kraken.lib.dataset.BaselineSet attribute)

N

named_spec (kraken.lib.vgsl.TorchVGSLModel attribute) nets (kraken.rpred.mm_rpred attribute) neural_reading_order() (in module kraken.lib.segmentation) nlbin() (in module kraken.binarization) nn (kraken.lib.models.TorchSeqRecognizer attribute) (kraken.lib.vgsl.TorchVGSLModel attribute), [1]

no_encode() (kraken.lib.dataset.ArrowIPCRecognitionDataset method) (kraken.lib.dataset.GroundTruthDataset method) (kraken.lib.dataset.PolygonGTDataset method) no_legacy_polygons (kraken.rpred.mm_rpred attribute) num_classes (kraken.lib.dataset.BaselineSet attribute)

O

ocr_record (class in kraken.containers) one_channel_mode (kraken.lib.models.TorchSeqRecognizer attribute) (kraken.lib.vgsl.TorchVGSLModel attribute) (kraken.lib.vgsl.TorchVGSLModel property)

ops (kraken.lib.vgsl.TorchVGSLModel attribute)

P

pad (kraken.lib.dataset.BaselineSet attribute) (kraken.lib.dataset.ImageInputTransforms property) (kraken.rpred.mm_rpred attribute) page_idx (kraken.transcribe.TranscriptionInterface attribute) pages (kraken.transcribe.TranscriptionInterface attribute) PageWiseROSet (class in kraken.lib.dataset) PairWiseROSet (class in kraken.lib.dataset) polygonal_reading_order() (in module kraken.lib.segmentation)

PolygonGTDataset (class in kraken.lib.dataset) predict() (kraken.lib.models.TorchSeqRecognizer method) predict_labels() (kraken.lib.models.TorchSeqRecognizer method) predict_string() (kraken.lib.models.TorchSeqRecognizer method) prediction (kraken.containers.BaselineOCRRecord attribute) (kraken.containers.BBoxOCRRecord attribute) (kraken.containers.ocr_record property) ProcessingStep (class in kraken.containers) PytorchCodec (class in kraken.lib.codec)

R

reading_order() (in module kraken.lib.segmentation) rebuild_alphabet() (kraken.lib.dataset.ArrowIPCRecognitionDataset method) regions (kraken.containers.BaselineLine attribute), [1] (kraken.containers.BBoxLine attribute), [1] (kraken.containers.Segmentation attribute), [1]

render_report() (in module kraken.serialization) resize_output() (kraken.lib.vgsl.TorchVGSLModel method) rpred() (in module kraken.rpred)

S

save_model() (kraken.lib.vgsl.TorchVGSLModel method) scale (kraken.lib.dataset.ImageInputTransforms property) scale_polygonal_lines() (in module kraken.lib.segmentation) scale_regions() (in module kraken.lib.segmentation) script_detection (kraken.containers.Segmentation attribute), [1] seg_idx (kraken.transcribe.TranscriptionInterface attribute) seg_type (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.BaselineSet attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PolygonGTDataset attribute) (kraken.lib.models.TorchSeqRecognizer attribute) (kraken.lib.vgsl.TorchVGSLModel property)

segment() (in module kraken.blla) (in module kraken.pageseg) Segmentation (class in kraken.containers) serialize() (in module kraken.serialization) set_num_threads() (kraken.lib.vgsl.TorchVGSLModel method) settings (kraken.containers.ProcessingStep attribute), [1] skip_empty_lines (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PolygonGTDataset attribute) spec (kraken.lib.vgsl.TorchVGSLModel attribute) split (kraken.containers.BaselineLine attribute), [1] (kraken.containers.BBoxLine attribute), [1] strict (kraken.lib.codec.PytorchCodec attribute)

T

tags (kraken.containers.BaselineLine attribute), [1] (kraken.containers.BBoxLine attribute), [1] tags_ignore (kraken.rpred.mm_rpred attribute) targets (kraken.lib.dataset.BaselineSet attribute) text (kraken.containers.BaselineLine attribute), [1] (kraken.containers.BBoxLine attribute), [1] text_direction (kraken.containers.BBoxLine attribute), [1] (kraken.containers.Segmentation attribute), [1] (kraken.transcribe.TranscriptionInterface attribute) text_transforms (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PolygonGTDataset attribute) tmpl (kraken.transcribe.TranscriptionInterface attribute) to() (kraken.lib.models.TorchSeqRecognizer method) (kraken.lib.vgsl.TorchVGSLModel method)

TorchSeqRecognizer (class in kraken.lib.models) TorchVGSLModel (class in kraken.lib.vgsl) train (kraken.lib.models.TorchSeqRecognizer attribute) train() (kraken.lib.vgsl.TorchVGSLModel method) TranscriptionInterface (class in kraken.transcribe) transform() (kraken.lib.dataset.BaselineSet method) transforms (kraken.lib.dataset.ArrowIPCRecognitionDataset attribute) (kraken.lib.dataset.BaselineSet attribute) (kraken.lib.dataset.GroundTruthDataset attribute) (kraken.lib.dataset.PolygonGTDataset attribute) type (kraken.containers.BaselineLine attribute) (kraken.containers.BaselineOCRRecord attribute), [1] (kraken.containers.BBoxLine attribute) (kraken.containers.BBoxOCRRecord attribute), [1] (kraken.containers.ocr_record property) (kraken.containers.Segmentation attribute), [1]

U

use_legacy_polygons (kraken.lib.vgsl.TorchVGSLModel property)

user_metadata (kraken.lib.vgsl.TorchVGSLModel attribute), [1]

V

valid_baselines (kraken.lib.dataset.BaselineSet attribute) valid_norm (kraken.lib.dataset.ImageInputTransforms property)

valid_regions (kraken.lib.dataset.BaselineSet attribute) vectorize_lines() (in module kraken.lib.segmentation)

W

width (kraken.lib.dataset.ImageInputTransforms property) (kraken.lib.exceptions.KrakenCairoSurfaceException attribute), [1]

write() (kraken.transcribe.TranscriptionInterface method)

X

XMLPage (class in kraken.lib.xml)