Current Behavior:

The the wiki page APIExample, for the python example, the handle api is is run through the TessBaseAPIDelete funciton if the api failed to be initialized whereas for the C example below, this is not the case.

python:

rc = tesseract.TessBaseAPIInit3(api, TESSDATA_PREFIX, lang)
if (rc):
    te

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.

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 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

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.