Short description

I am trying to train Tesseract on Akkadian language. The language-specific.sh script was modified accordingly. When converting the training text to TIFF images, the text2image program crashes.

Environment

• Tesseract Version: 3.04.01
• Commit Number: the standard package in Ubuntu, package version 3.04.01-4, commit unknown
• Platform: Linux ubuntu

This is an awesome library, thanks @ddbourgin!!

Users might not know the best way to install this package and try it out. (I didn't, so I eventually just copied the source files.)
Neither the readme nor readthedocs have install instructions.

I couldn't find it on PyPi or Anaconda, and there doesn't appear to be a pyproject.toml, setup.cfg, setup.py, or conda recipe.

Moreover, the t

→ Step 1: Describe the issue 📝

bodypix returns error in p5js instance mode

→ Step 2: Screenshots or Relevant Documentation 🖼

→ Step 3: Share an example of the issue 🦄

https://editor.p5js.org/micuat/sketches/PYuow4Be3

• Web browser & version: chrome (but perhaps any)
• Operating System: windows (but perhaps any)
• ml5 version you're using: 0.5.0
• **Any addit

when i run the example which using timit to build a lstm+ctc system,i meet a mistake,the error as follows：

can you give a suggest how to deal with it,thank very much.

I add a function(according the code in the tutorial4) to calculate the bleu score, but i get the vey low score(0.09), could you tell me why?
This is code to calculate bleu:

def translate_sentence(sentence, src_field, trg_field, model, device, max_len = 50):
    
    model.eval()
        
    if isinstance(sentence, str):
        nlp = spacy.load('de')
        tokens = [token.te

Hi,

First thanks for releasing this, it has been quite helpful.
Would be great if the README page mentioned in software requirements the dependency on pytorch-qrnn (for QRNN-based models). Currently, following the instructions and running one of the standard QRNN models will just throw a ModuleNotFoundError with no instructions. Would be great if there was a prior mention and/or a try/catch w

http://pytorch.org/tutorials/beginner/deep_learning_nlp_tutorial.html
has 5 nice noteboks all in python3

The one in github is python2 and not in sync

This may create difficulty for many as it did for me
You may have 1 version - perhaps the 5 working ones

I looked up the documentation for sequence_loss_by_example and it doesn't seem to be taking vocab_size as argument. I'd really appreciate it if you could help me understand what this argument is doing. Thanks a lot!
` loss = seq2seq.sequence_loss_by_example([self.logits],
[tf.reshape(self.targets, [-1])],
[tf.ones([args.batch_size * args.seq_length])],

Tried following the quickstart guide to run the application quickly but running into many software dependency issues. Have you considered dockerizing this application?

I have a background in this area, would be interested in contributing to the project to add that capability if you are open to incorporating this as a feature.

Let me know.

In preprocess_csv function in preprocess.py (link), pandas can be used to parse the csv more efficiently and with way less code. The machine I was using while developing the project did not have pandas installed.