Comments (3)
I don't think the input size matters that much. Please note that calamari is line based, it does not include code or models for segmentation tasks. As long as your images is cropped nicely around a single line or you provide coordinates via PAGE XML, it should work.
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I don't think the input size matters that much. Please note that calamari is line based, it does not include code or models for segmentation tasks. As long as your images is cropped nicely around a single line or you provide coordinates via PAGE XML, it should work.
then I believe image like this may work, but it does not.
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The uw3 dataset the model uw3-modern-english was trained on contains only binarised data, therefore the model struggles with colour or grayscale images. If you convert your image to monochrome, e.g. via convert online.png -monochrome online.bin.png
, it's recognised perfectly.
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Related Issues (20)
- 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
- calamari-eval: skip missing pairs HOT 3
- 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
- Prediction from calamari trained .pb model HOT 5
- Issue while using the model and json HOT 8
- setup.py on Ubuntu20.04: tensorflow is wrong version HOT 7
- calamari/1.0: hold Tensorflow and Protobuf dependencies HOT 6
- What is the accuracy on Chinese/Japanese text? HOT 2
- Attention layer
- "No training configuration" for code that should not have one HOT 5
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