Comments (16)
Which model did you use?
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fraktur_19th_century
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This model is trained to predict both characters and numbers. Could you please provide a line of your data where it fails?
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it writes nothing in the result.txt
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I use a picture that has numbers and chinese characters
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The fraktur 19th century model can only be used for Fraktur fonts: The characters must be similar to https://en.wikipedia.org/wiki/Fraktur.
It might be possible that the model could possibly detect Arabic digits embedded in Chinese fonts, however I can not guarantee that. Do you input a full image or only a single horizontal text line? The latter is required.
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I put a full image into the network ,my goal is just recognizing the
numbers and I dont care if there are chinese characters or not.
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Calamari can only process single lines, not a full image. You need a separate tool to handle the line segmentation. You can use e. g. https://github.com/tmbdev/ocropy/wiki/Page-Segmentation for the page and line segmentation.
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my pictures are cropped from ID cards ,the row of birthdays
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Solely the row of birthdays? Can you attach a single image file. Maybe you need https://github.com/Calamari-OCR/calamari_models/tree/master/antiqua_modern as model (Modern typographic fonts).
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you can test the pictures,and show me the results
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This might work, but additional steps are required:
- Crop the bottom area to the content with approximately 3px margin around the text.
- Binarize the image
I manually did those steps and got (. 1986t 1 t 8 fH
as result for 001.png
.
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My manually processed input line:
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do you mind I make a friend with you ? My qq is 913452977, I think I have something more to ask you ,hehe
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You can E-Mail me via [email protected].
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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
- Model very sensitive on PNG input HOT 3
- 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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