deep-text-recognition-benchmark
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Text recognition (optical character recognition) with deep learning methods, ICCV 2019
### Trained the model with custom dataset and when trying to test it with demo.py file, It gives an the below error #Error ['model input parameters 32 100 20 1...
@ku21fan Thanks for sharing this wonderful work. You did really a good job. I need to do transfer learning to train the model with a small dataset of mine and...
test.py is not using CTCLabelConverterForBaiduWarpctc https://github.com/clovaai/deep-text-recognition-benchmark/blob/68a80fe97943a111ff1efaf52a63ad8f0f1c0e5d/test.py#L192-L195 which conflicts with https://github.com/clovaai/deep-text-recognition-benchmark/blob/68a80fe97943a111ff1efaf52a63ad8f0f1c0e5d/test.py#L113-L115 using CTCLabelConverterForBaiduWarpctc can fix it https://github.com/clovaai/deep-text-recognition-benchmark/blob/68a80fe97943a111ff1efaf52a63ad8f0f1c0e5d/train.py#L47-L53
When I create lmdb dataset with custom data(e.g. with trdg create multi words in per image), I followed the guide to create dataset, and I trained with below code: `CUDA_VISIBLE_DEVICES=0,1,2,3...
Hi, do you have a recognition model trained on Korean characters? Or even better, English+Korean?
Hi First I fine-tuned the None-VGG-BiLSTM-CTC on [pre-trained weights](https://drive.google.com/file/d/1GGC2IRYEMQviZhqQpbtpeTgHO_IXWetG/view) with these characters: `+-/0123456789ABCDEFGHJKLMNPQRSTUVWYZ` ``` CUDA_VISIBLE_DEVICES=0 python3 train.py --train_data result/train --valid_data result/val \ --Transformation None --FeatureExtraction VGG --SequenceModeling BiLSTM --Prediction CTC...
How could I join the Craft model with this when I already have the texts trimmed.
I'm starting to work on an handwritten OCR. I would like to know if someone manage to train an handwritten OCR (with recognition rate you were able to produce) and...
Hello, As many people referenced before me there is an issue while fine tuning the saved model on your own dataset #73 #275 #145 There were multiple solutions suggested: -...
I hace almost 25W images to digital recognition by hand , 5W are real and others are Simulation。 It overfitting very fast. both adam(lr = 0.001) and Adadelta(lr = 1)...