Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
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)
append() (kraken.lib.vgsl.TorchVGSLModel method)
ArrowIPCRecognitionDataset (class in kraken.lib.dataset)
aux_layers (kraken.lib.vgsl.TorchVGSLModel property)
B
base_dir (kraken.containers.BaselineLine attribute)
,
[1]
(kraken.containers.BaselineOCRRecord attribute)
(kraken.containers.BBoxLine attribute)
,
[1]
(kraken.containers.BBoxOCRRecord attribute)
(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)
blank_threshold_decoder() (in module kraken.lib.ctc_decoder)
boundary (kraken.containers.BaselineLine attribute)
,
[1]
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
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)
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)
cuts (kraken.containers.BaselineOCRRecord attribute)
(kraken.containers.BaselineOCRRecord property)
(kraken.containers.BBoxOCRRecord attribute)
(kraken.containers.ocr_record property)
D
decode() (kraken.lib.codec.PytorchCodec method)
description (kraken.containers.ProcessingStep attribute)
,
[1]
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
fit() (kraken.lib.train.KrakenTrainer method)
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)
hyper_params (kraken.lib.vgsl.TorchVGSLModel property)
I
id (kraken.containers.BaselineLine attribute)
,
[1]
(kraken.containers.BBoxLine attribute)
,
[1]
(kraken.containers.ProcessingStep attribute)
,
[1]
ImageInputTransforms (class in kraken.lib.dataset)
imagename (kraken.containers.BaselineLine attribute)
,
[1]
(kraken.containers.BBoxLine attribute)
,
[1]
(kraken.containers.Segmentation attribute)
,
[1]
init_weights() (kraken.lib.vgsl.TorchVGSLModel method)
input (kraken.lib.vgsl.TorchVGSLModel attribute)
is_valid (kraken.lib.codec.PytorchCodec property)
K
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
line_orders (kraken.containers.Segmentation attribute)
,
[1]
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)
merge() (kraken.lib.codec.PytorchCodec method)
message (kraken.lib.exceptions.KrakenCairoSurfaceException attribute)
mm_rpred (class in kraken.rpred)
mode (kraken.lib.dataset.ImageInputTransforms property)
model_type (kraken.lib.vgsl.TorchVGSLModel property)
N
neural_reading_order() (in module kraken.lib.segmentation)
nlbin() (in module kraken.binarization)
nn (kraken.lib.vgsl.TorchVGSLModel attribute)
no_encode() (kraken.lib.dataset.ArrowIPCRecognitionDataset method)
(kraken.lib.dataset.GroundTruthDataset method)
(kraken.lib.dataset.PolygonGTDataset method)
O
ocr_record (class in kraken.containers)
one_channel_mode (kraken.lib.vgsl.TorchVGSLModel attribute)
(kraken.lib.vgsl.TorchVGSLModel property)
P
pad (kraken.lib.dataset.ImageInputTransforms property)
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_type (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]
split (kraken.containers.BaselineLine attribute)
,
[1]
(kraken.containers.BBoxLine attribute)
,
[1]
T
tags (kraken.containers.BaselineLine attribute)
,
[1]
(kraken.containers.BBoxLine attribute)
,
[1]
text (kraken.containers.BaselineLine attribute)
,
[1]
(kraken.containers.BBoxLine attribute)
,
[1]
text_direction (kraken.containers.BBoxLine attribute)
,
[1]
(kraken.containers.Segmentation attribute)
,
[1]
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.vgsl.TorchVGSLModel method)
TranscriptionInterface (class in kraken.transcribe)
transform() (kraken.lib.dataset.BaselineSet method)
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)
V
valid_norm (kraken.lib.dataset.ImageInputTransforms property)
vectorize_lines() (in module kraken.lib.segmentation)
W
width (kraken.lib.dataset.ImageInputTransforms property)
(kraken.lib.exceptions.KrakenCairoSurfaceException attribute)
write() (kraken.transcribe.TranscriptionInterface method)
X
XMLPage (class in kraken.lib.xml)
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