Advanced use of Tesseract with Python
Find out in this article how to use tesseract in relatively complex cases with Python and OpenCV.
All to understand and practice A.I. in a simple way
Find out in this article how to use tesseract in relatively complex cases with Python and OpenCV.
In this post, I suggest you create a web service (RESTFul) in Python which will retrieve an image (JPEG) to analyze and process it in order to return the constituent elements.
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Interested in OCRs? learn how to use Tesseract (Open Source OCR) from the command line but also via Python.
In this article we will see how to install and especially use the Python Flask micro-framework. very useful for publishing your Machine learning models in REST!
Find out in this article how to build regular expressions and then use them with Python and Java.
Discover in a simple and progressive approach how to do NLP simply with the SpaCy Python library!
Looking for data? but … you don’t know where. I will try in this article to provide you with a number of links to the most useful Open Data sites.
To follow up on my article on the management of character strings, here is a first part which will allow us to have a progressive approach to the processing of this type of data. Far from any semantic approach (which will be the subject of a later post) we will discuss here the technique of bags of words
If you want to have an analytical approach to your data, you have of course been faced with the difficulty of using character strings. So much so that very often you have certainly had to put some aside. Lack of tools, complexity of managing complex semantics … In this article (first in a series) we will tackle these problems and especially see how to solve them.