Comments (3)
Hi @vasanththangavel! Thanks for your question. The GPU configuration is determined by TensorFlow. You can see if TensorFlow sees the GPU using:
import tensorflow as tf
print(tf.config.list_physical_devices('GPU'))
That should get you started with figuring out how to get the dependencies set up to use the GPU. That said, 2GB is probably not enough memory for the models in this package to run on the GPU (you will probably get out-of-memory errors). So it may not be worth figuring out. Let us know how it goes!
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@faustomorales I tried this code
import tensorflow as tf print(tf.config.list_physical_devices('GPU'))
but it returns empty list. so i tried different tensorflow version like 2.1.1 and 2.0.0 which is compatible for cuda 10.2 but still issue not resolved.
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Configuring TensorFlow on GPU is a TensorFlow issue that, unfortunately, cannot be resolved by this package. Please see https://www.tensorflow.org/install/gpu for instructions. StackOverflow may have helpful information for troubleshooting TensorFlow / CUDA / GPU issues.
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Related Issues (20)
- 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
- tensorflow is missing from requirements
- Readme.md issue
- Pipeline constructor initializing libiomp5 multiple times
- Cannot Download Pipeline: Unrecognized keyword arguments passed to Dense HOT 2
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