hwrt | A toolset for handwriting recognition | Machine Learning library

by MartinThoma Python Version: 0.2.1 License: MIT

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

kandi X-RAY | hwrt Summary

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

A toolset for handwriting recognition

Support

Quality

Security

License

Reuse

Support

hwrt has a low active ecosystem.

It has 68 star(s) with 18 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 30 open issues and 11 have been closed. On average issues are closed in 6 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hwrt is 0.2.1

Quality

hwrt has 0 bugs and 0 code smells.

Security

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

hwrt code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hwrt is licensed under the MIT License. This license is Permissive.

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

Reuse

hwrt releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

hwrt saves you 3846 person hours of effort in developing the same functionality from scratch.

It has 8197 lines of code, 579 functions and 71 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Perform the work
Sorts hypotheses by probability
Add hypotheses for new_stroke
Add a new stroke to the beam
Get all the symbol records from a directory
Strip end of text
Convert an ElementTree element to a dictionary
Read in a folder
Get the segmentation for a recording
Calculate the segmentation
Fix math issues
Get a dictionary mapping index to LaTeX
Analyze a single feature
Create a preprocessing dataset
Main function
Get mapping of symbol ids
Create an hdf5 file
Create output_semantics
Create a tar file for a model
Wrapper for keras
Get the segmentation data
Check if python modules are present
Load the validation set
Evaluate a model for a single recording
Display raw data
Insert recording into database
Return the user id for the given username

Get all kandi verified functions for this library.

hwrt Key Features

No Key Features are available at this moment for hwrt.

hwrt Examples and Code Snippets

No Code Snippets are available at this moment for hwrt.

Community Discussions

Trending Discussions on hwrt

Python dash call back function

QUESTION

Python dash call back function

Asked 2019-Jun-12 at 21:23

This maybe asking alot, but I was curious if anyone had any tips for combining these two dash scripts. The purpose would be to incorporate the drop down menu to remove/add data points on the visualization plots.

The first script will visualize my data nicely and the second script with the callback function is for creating a drop down menu from the plotly tutorials.

...

ANSWER

Answered 2019-Jun-12 at 21:23

What you need to know is that the callback takes Input from some Dash element (here the value of the dropdown) and returns to Output for some property of another Dash element (here the figure from the graph; notice we only change the data property).

Source https://stackoverflow.com/questions/56569959

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

Vulnerabilities

No vulnerabilities reported

Install hwrt

You can install using 'pip install hwrt' or download it from GitHub, PyPI.
You can use hwrt 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.