doctr | Document Text Recognition ) - a seamless , high-performing | Computer Vision library

by mindee Python Version: v0.6.0 License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | doctr Summary

doctr is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow applications. doctr has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install doctr' or download it from GitHub, PyPI.

What you can expect from this repository:.

Support

Quality

Security

License

Reuse

Support

doctr has a medium active ecosystem.

It has 1852 star(s) with 252 fork(s). There are 31 watchers for this library.

It had no major release in the last 12 months.

There are 45 open issues and 199 have been closed. On average issues are closed in 112 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of doctr is v0.6.0

Quality

doctr has 0 bugs and 0 code smells.

Security

doctr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

doctr code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

doctr is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

doctr releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed doctr and discovered the below as its top functions. This is intended to give you an instant insight into doctr implemented functionality, and help decide if they suit your requirements.

Visualize an image .
Push the model to TensorFlow .
Creates a shadow mask .
Export the document as an XML tree .
Wrapper for MobileNetV3 .
Draw a thresholding map .
Resolve enclosing boxes .
Download a file from a URL .
Loads the configuration from the hub .
Encode sequences of sequences .

Get all kandi verified functions for this library.

doctr Key Features

No Key Features are available at this moment for doctr.

doctr Examples and Code Snippets

SymPy Docs Repository,Development docs

HTML

Lines of Code : 4

License : Non-SPDX (NOASSERTION)

Copy

rm -rf dev/
cp -R ../path/to/sympy/doc/_build/html dev/

git add -A dev/

./generate_indexes.py

Community Discussions

Trending Discussions on doctr

mamba fails to create env

Is it possible to get doctring of coroutine?

QUESTION

mamba fails to create env

Asked 2021-Aug-04 at 05:11

I had just installed Anaconda from anaconda.com. The installation proceeded smoothly. After that, I was trying to create a new environment from this environment.yml file. (nbdev.yml)

...

ANSWER

Answered 2021-Aug-04 at 05:11

After a lot of research, I stumbled on to Mamba doesn't find a solution when mixing conda forge defaults and not specifying Python explicitly 1102. So I just edited nbdev.yml from

Source https://stackoverflow.com/questions/68645697

QUESTION

Is it possible to get doctring of coroutine?

Asked 2020-Mar-08 at 16:47

I got a function defined by:

...

ANSWER

Answered 2020-Mar-08 at 16:29

You can see from the implementation of command that your func is wrapped in a Command object:

Source https://stackoverflow.com/questions/60589497

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install doctr

You can install using 'pip install doctr' or download it from GitHub, PyPI.
You can use doctr like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.