Comments (4)
Also i was wondering whether i can use an svg files for training and use the trained model to predict svg file images
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i got the same issue with new dataset of captcha. could @pythonlessons please help us the way how to adjust model architecture to solve other type of captcha.
Here is my one of captcha image:
Thank you.
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Make sure you read your images correctly, to do so you can use OpenCV to show your images while iterating dataProvider. Batch size doesn't have any considerable impact on this; you need to work on model architecture. I made a tutorial just as an example that you can use to continue working on similar tasks.
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Related Issues (20)
- Empty model folder HOT 1
- Saving and Loading model errors HOT 7
- model.onnx file is not creating HOT 5
- captcha images name issue for training HOT 2
- Epoch 51: early stopping HOT 7
- Impossible to solve contradiction in dependencies on Mac M1. HOT 3
- Failed to find data adapter that can handle input HOT 11
- Epoch 11: val_CER did not improve from 1.00000 HOT 3
- mltu/transformer.py SpectrogramPadding Bag. HOT 2
- no module named tf2onnx HOT 8
- No module named mltu
- I want to increase learning_rate and train_workers, is that possible? HOT 18
- train.py giving error on custom dataset HOT 19
- Transcription has no stops between sentences. HOT 8
- about your augmentators ultility HOT 1
- Compatibility Issue with Protobuf Versions in TensorFlow ONNX Conversion HOT 1
- Dropout with Batch Normalization Disharmony HOT 3
- ValueError: Failed to find data adapter that can handle input: <class 'mltu.dataProvider.DataProvider'>, <class 'NoneType'> HOT 5
- The module 'Models' could not be loaded. HOT 4
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