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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
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# ocrd includes opencv, numpy, shapely, click
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ocrd >= 3.3.0
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numpy <1.24.0
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numpy < 2.0
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scikit-learn >= 0.23.2
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tensorflow < 2.13
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tensorflow
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tf-keras # avoid keras 3 (also needs TF_USE_LEGACY_KERAS=1)
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numba <= 0.58.1
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scikit-image
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biopython
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