Comments (2)
Calamari uses a bidirectional 1D-Lstm (Time equates x-Axis of line, usual Latin reading order). 2D LSTMs are not supported.
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@ChWick I see. Thanks a lot.
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Related Issues (20)
- calamari-predict: Exception, when prediction is 0% HOT 3
- calamari-train: Exception 'NoneType' object has no attribute 'astype' HOT 4
- encoding of arabic characters in the confusion file is wrong HOT 2
- calamari-predict truncates filename HOT 3
- output_dir parameter does not work as described in doc string
- PAGE XML: explicit namespace prefixes are missing when writing new elements HOT 3
- calamari-predict: Glyph Coordinates are "strange"
- Argument "val.preload" documented but not known HOT 1
- Cannot convert a symbolic Tensor - Cannot even initialize the Predictor object HOT 2
- Characters coordinates HOT 1
- training: Cannot convert a symbolic Tensor to a numpy array HOT 7
- HDF5 dataset format: how to convert HOT 4
- calamari-train: warmstart not working without also giving network spec
- featreq: when warmstart-training, init weights of new chars from existing ones HOT 2
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- calamari-eval: unknown arguments HOT 6
- calamari-eval: confusion table miscalculates relative frequency HOT 3
- Error when convert old trained model to latest version model HOT 1
- Got exception during training HOT 4
- calamari-ocr 2.2.2 on ubuntu 22.04 partial success, difficulty with GPU software
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