eynollah/requirements.txt

# ocrd includes opencv, numpy, shapely, click
ocrd >= 3.3.0
numpy < 2.0
scikit-learn >= 0.23.2
tensorflow
tf-keras # avoid keras 3 (also needs TF_USE_LEGACY_KERAS=1)
numba <= 0.58.1
scikit-image
tabulate
extend setup.py, add Makefile, gitignore, requirements.txt 2020-11-20 17:37:35 +01:00			`# ocrd includes opencv, numpy, shapely, click`
Update requirements.txt Co-authored-by: Konstantin Baierer <kba@users.noreply.github.com> 2025-04-01 18:13:28 +02:00			`ocrd >= 3.3.0`
drop TF1 vernacular, relax TF/Keras and Torch requirements… - do not restrict TF version, but depend on tf-keras and set `TF_USE_LEGACY_KERAS=1` to avoid Keras 3 behaviour - relax Numpy version requirement up to v2 - relax Torch version requirement - drop TF1 session management code - drop TF1 config in favour of TF2 config code for memory growth - training.*: also simplify and limit line length - training.train: always train with TensorBoard callback 2026-01-20 04:18:55 +01:00			`numpy < 2.0`
extend setup.py, add Makefile, gitignore, requirements.txt 2020-11-20 17:37:35 +01:00			`scikit-learn >= 0.23.2`
drop TF1 vernacular, relax TF/Keras and Torch requirements… - do not restrict TF version, but depend on tf-keras and set `TF_USE_LEGACY_KERAS=1` to avoid Keras 3 behaviour - relax Numpy version requirement up to v2 - relax Torch version requirement - drop TF1 session management code - drop TF1 config in favour of TF2 config code for memory growth - training.*: also simplify and limit line length - training.train: always train with TensorBoard callback 2026-01-20 04:18:55 +01:00			`tensorflow`
			`tf-keras # avoid keras 3 (also needs TF_USE_LEGACY_KERAS=1)`
updating requirements 2024-11-14 17:35:00 +01:00			`numba <= 0.58.1`
I have tried to address the issues #163 and #161 . The changes have also improved marginal detection and enhanced the isolation of headers. 2025-05-12 00:10:18 +02:00			`scikit-image`
reorganize model_zoo 2025-10-22 16:04:48 +02:00			`tabulate`