This is an a DIY Article on building a license plate detector using attention OCR.
We deep dive in with this article on how you can automate your data entry work with the help of deep learning based OCR. It speaks about attention mechanisms, spatial transformer networks and how they are applied for any text recognition task.
I always seen Show HN for interactive things, not articles (which I would say this is), thinking specifically about this part from the Show HN Guidelines:
> Show HN is for something you've made that other people can play with. HN users can try it out, give you feedback, and ask questions in the thread.
it's in the attention-ocr fork of the same account. the link is mentioned in the README file (the link to number_plates.py file). go into models/research/attention_ocr/python/datasets/data/number_plates. you'll find the charset-labels.txt file there.
This is an a DIY Article on building a license plate detector using attention OCR.
We deep dive in with this article on how you can automate your data entry work with the help of deep learning based OCR. It speaks about attention mechanisms, spatial transformer networks and how they are applied for any text recognition task.