deep-text-recognition-benchmark
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Text recognition (optical character recognition) with deep learning methods, ICCV 2019
see OCR
Hi, I really appreciate the technology you come up with. I have trained and tested with my own data. I have one question is how can I view the identity...
If the probability of any label is less than 0.5 than we can show both the best and the second best prediction using above code.
Hi, thanks for your great work. I was confused by teacher forcing technique. In your prediction.py, you claimed that ` if is_train: for i in range(num_steps): # one-hot vectors for...
I want to fine-tune the model on my own dataset. The default lr is set to 1., which seems to be quite high. What lr is suggested for fine-tuning? Moreover,...
Hi. I created lmdb dataset on my own data by running create_lmdb_dataset.py. then I run the train command on it and got the following output: Traceback (most recent call last):...
I am trying to fine-tune the model on single characters (my own dataset). I created the dataset as described within the README, but unfortunately the prediction for each item within...
Hi, I am using the CRAFT + this library pipeline to locate and do char level recognition using a pretrained model you provided (TPS-ResNet-BiLSTM-Attn-case-sensitive.pth). However, I am stuck in a...
Has anybody used this model for Hindi Text Recognition? Please share the model architecture used and the results obtained.
model input parameters 32 100 20 1 512 256 15 25 TPS ResNet BiLSTM Attn loading pretrained model from saved_models/TPS-ResNet-BiLSTM-Attn-Seed1111/best_accuracy.pth output path : ./onnx_output/onnx_output/ Traceback (most recent call last): File...
I added more character('train.py' --character) and got an error (size mismatch) I don't know why It works when the Prediction is different from what pretrained model's Prediction for example these...