Releases: bertsky/ocrd_detectron2
Releases · bertsky/ocrd_detectron2
v0.2.0
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Changed
updated to OCR-D v3 API
switched from setup.py to pyproject.toml
(and ocrd-tool.json based versioning)
updated Dockerfile (base version, variables, labels, ocrd-all-tool.json)
updated CI
v0.1.8
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Fixed
workarounds for broken models (DocBank_X101, Jambo-sudo_X101)
make deps: add explicit reqs prior to pip step with Torch index
set pc:PcGts/@pcGtsId from mets:file/@ID
Added
CI for CLI tests (with cached models and stored result artifacts)
Changed
migrated model URLs from external to Github release assets
v0.1.7
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Fixed
adapt to Numpy 1.24 (no np.bool)
Added
model by Jambo-sudo (PubLayNet+custom GT)
model by LayoutParser (PRImA Layout GT)
CLI tests
v0.1.6
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Fixed
avoid colon in generated region IDs
make deps: add explicit deps for torch
fix/update file resources
fix model config base paths on-the-fly
Added
v0.1.5
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Fixed
param debug_img: 1 image per page
URLs/specs for PubLayNet/JPLeoRX models
v0.1.4
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Added
param postprocessing (select steps, including none)
param debug_img (styles to visualise raw predictions, including none)
v0.1.3
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Fixed
make deps: fall back to Detectron2 src build
Changed
added various models as file resources
added corresponding preset files
updated documentation
v0.1.2
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Fixed
make deps: fix CUDA detection even more
apply device param as passed
Changed
downscale images to no more than 150 DPI for prediction (for speed)
add param operation_level (default page), add table mode
v0.1.1
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Fixed
make deps: fix CUDA detection and allow CPU as fallback
Changed
instance segmentation postprocessing: use asymmetric overlap
criterion for non-maximum suppression
skip instances which belong to classes with empty category
annotate incrementally (by skipping candidates that overlap
with pre-existing top-level regions)
v0.1.0
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