Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
A
add() (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_page() (kraken.transcribe.TranscriptionInterface method)
append() (kraken.lib.vgsl.TorchVGSLModel method)
aux_layers (kraken.lib.vgsl.TorchVGSLModel property)
B
base_dir (kraken.rpred.ocr_record attribute)
BaselineSet (class in kraken.lib.dataset)
beam_decoder() (in module kraken.lib.ctc_decoder)
blank_threshold_decoder() (in module kraken.lib.ctc_decoder)
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_series() (kraken.lib.vgsl.TorchVGSLModel method)
build_wav2vec2() (kraken.lib.vgsl.TorchVGSLModel method)
C
calculate_polygonal_environment() (in module kraken.lib.segmentation)
compute_polygon_section() (in module kraken.lib.segmentation)
confidences (kraken.rpred.ocr_record property)
criterion (kraken.lib.vgsl.TorchVGSLModel attribute)
cuts (kraken.rpred.ocr_record property)
D
decode() (kraken.lib.codec.PytorchCodec method)
denoising_hysteresis_thresh() (in module kraken.lib.segmentation)
display_order() (kraken.rpred.ocr_record method)
E
encode() (kraken.lib.codec.PytorchCodec 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)
forward() (kraken.lib.models.TorchSeqRecognizer method)
G
greedy_decoder() (in module kraken.lib.ctc_decoder)
GroundTruthDataset (class in kraken.lib.dataset)
H
height (kraken.lib.exceptions.KrakenCairoSurfaceException attribute)
hyper_params (kraken.lib.vgsl.TorchVGSLModel property)
I
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
load_any() (in module kraken.lib.models)
load_model() (kraken.lib.vgsl.TorchVGSLModel class method)
logical_order() (kraken.rpred.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)
model_type (kraken.lib.vgsl.TorchVGSLModel property)
N
nlbin() (in module kraken.binarization)
nn (kraken.lib.vgsl.TorchVGSLModel attribute)
no_encode() (kraken.lib.dataset.GroundTruthDataset method)
(kraken.lib.dataset.PolygonGTDataset method)
O
ocr_record (class in kraken.rpred)
one_channel_mode (kraken.lib.vgsl.TorchVGSLModel attribute)
(kraken.lib.vgsl.TorchVGSLModel property)
P
parse() (kraken.lib.dataset.GroundTruthDataset method)
(kraken.lib.dataset.PolygonGTDataset method)
parse_alto() (in module kraken.lib.xml)
parse_page() (in module kraken.lib.xml)
parse_xml() (in module kraken.lib.xml)
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.rpred.ocr_record property)
PytorchCodec (class in kraken.lib.codec)
R
reading_order() (in module kraken.lib.segmentation)
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_polygonal_lines() (in module kraken.lib.segmentation)
scale_regions() (in module kraken.lib.segmentation)
seg_type (kraken.lib.vgsl.TorchVGSLModel property)
segment() (in module kraken.blla)
(in module kraken.pageseg)
serialize() (in module kraken.serialization)
serialize_segmentation() (in module kraken.serialization)
set_num_threads() (kraken.lib.vgsl.TorchVGSLModel method)
T
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.rpred.ocr_record property)
U
user_metadata (kraken.lib.vgsl.TorchVGSLModel attribute)
V
vectorize_lines() (in module kraken.lib.segmentation)
W
width (kraken.lib.exceptions.KrakenCairoSurfaceException attribute)
write() (kraken.transcribe.TranscriptionInterface method)
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