Comments (1)
Hi @tfilip!
- Can I train a different model? In order to supply all the convenience functions, there are a lot of constraints that the architectures must satisfy. You can modify the recognizer and detector architectures somewhat using the keyword arguments (see API documentation and examples). For example, on the recognizer, you can select different RNN layers, number of filters, etc. If you wish to submit an amendment to the architecture, please open an issue to discuss your specific change.
- Can I train the recognizer with multiple GPUs? A multi-GPU example is provided here.
from keras-ocr.
Related Issues (20)
- What version of matplotlib are you guys using?
- Could not download HOT 1
- Very inaccurate results with keras-ocr tflite model HOT 1
- Cannot train Recognizer - ValueError: Exception encountered when calling layer 'lambda_1' (type Lambda). HOT 5
- "Tried to convert 'num' to a tensor and failed. Error: None values not supported." HOT 1
- Can I get Korean Text from Image? Using keras-ocr HOT 1
- Open Source License HOT 1
- Adding an example for fine-tuning both detector & recognizer using an your own dataset HOT 4
- Detecting vertical text with craft HOT 3
- Can I extract the text color too?
- Error while import package
- How can I load the models in an offline environment? HOT 1
- Finetuning the recognizer crashes when reaching the fit_generator method
- README.md has 3 image links for running OCR. Second image is not available.
- Text bbox transform
- Train the recognizer
- Filling up RAM
- unable to load fonts. There is some issue not loading fonts while end-to-end training. HOT 1
- Small Issue With Letter Recognition
- is there a way to skip download data_generation.get_backgrounds and data_generation.get_fonts
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from keras-ocr.