Handwriting-Recognition | Software to recognize handwriting | Machine Learning library

by samkit-jain Python Version: 3.0 License: Apache-2.0

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

kandi X-RAY | Handwriting-Recognition Summary

Handwriting-Recognition is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. Handwriting-Recognition has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Handwriting-Recognition build file is not available. You can download it from GitHub.

Software to recognize handwriting. Uses EMNIST dataset for training. See Python README for more details.

Support

Quality

Security

License

Reuse

Support

Handwriting-Recognition has a low active ecosystem.

It has 43 star(s) with 16 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 12 have been closed. On average issues are closed in 72 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Handwriting-Recognition is 3.0

Quality

Handwriting-Recognition has 0 bugs and 0 code smells.

Security

Handwriting-Recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Handwriting-Recognition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Handwriting-Recognition 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

Handwriting-Recognition releases are available to install and integrate.

Handwriting-Recognition has no build file. You will be need to create the build yourself to build the component from source.

Handwriting-Recognition saves you 237 person hours of effort in developing the same functionality from scratch.

It has 579 lines of code, 31 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Create the EMNIST dataset
Convert index to image files
Download a file from a URL
Extract a gzip file
Extract a zip file
Return a list of image images
Extract contours from the image
Draw the character
Resets the image
Train the model
Read the dataset
Predict label
Get all contours in the image
Convert image to emnist

Get all kandi verified functions for this library.

Handwriting-Recognition Key Features

No Key Features are available at this moment for Handwriting-Recognition.

Handwriting-Recognition Examples and Code Snippets

No Code Snippets are available at this moment for Handwriting-Recognition.

Community Discussions

Trending Discussions on Handwriting-Recognition

Google Chrome version 91 causing legacy JSP with Struts to lose data and formatting

PyQt5 - Show virtual keyboard

QUESTION

Google Chrome version 91 causing legacy JSP with Struts to lose data and formatting

Asked 2021-Jun-11 at 18:03

UPDATE IN ANSWER BELOW

Is anyone else experiencing the newest couple versions of chrome causing issues with legacy Java applications? Just yesterday I needed to get the company's policy manager to allow downloading files from an internal unsecured server by adding our URLs to a whitelist - you can see the details of the process on the chromium blog here. That issue was present in v90 as well.

What I'm currently experiencing due to the v91 update is as follows: My boss was trying to use a page in one of our Java 6 legacy applications and he noticed that the page wouldn't return the data in any format - we checked and he was already v91. I was on v90 and the page worked fine. After updating Chrome to v91, I'm getting the same broken page as my boss.

I was thinking it might be something related to the CSS but I don't have time to poke at it and redeploy the legacy app every time to test the changes. Though, I have taken a peek at this chromium blog post for version 91. Though I don't see much relating to what may have caused the removal of all non-label fields and the formatting of the label fields are all wonky and out of place.

I'm going to look into investigating the struts tile that holds the code JSP code; if I find something I'll post it here for reference.

The first image below is what one row should look like with the header above it. As you see in the second picture, all there is the header with improper formatting and the grid is gone.

...

ANSWER

Answered 2021-Jun-10 at 21:45

I have determined the problem to be the

here tag. In the newest version (v91) of Chrome, the table rendering engine has been rewritten. the notes are here and if you want the in-depth documentation, is the link to the Google Doc that the developers wrote. Basically, the old way of rendering tables has become obsolete and the

Workaround: Disable the chrome flag named Enable TableNG and restart your browser.

Addition: I found chromestatus, a website that shows new features being added, deprecations, etc.

tag is now defunct.

Source https://stackoverflow.com/questions/67829181

QUESTION

PyQt5 - Show virtual keyboard

Asked 2020-Sep-23 at 05:37

I'm trying to figure out how to use a virtual keyboard for a touchscreen, using python 3.8 and PyQt5 on Windows.

I saw that Qt had his own plugin QtVirtualKeyboard. I pretty much followed what has been done in this link, first installing Qt 5.15 with the Virtual Keyboard support, and then setting up the environment variables.

A simple code example would be this :

...

ANSWER

Answered 2020-Sep-03 at 08:33

First, be the binaries associated with Qt VirtualKeyboard, and to not install Qt I have used aqtinstall(In this example Qt 5.15 was installed but it is recommended to use the same version that was used to compile pyqt5: python -c "from PyQt5.QtCore import QT_VERSION_STR; print('Qt version', QT_VERSION_STR)"):

Source https://stackoverflow.com/questions/62473386

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

Vulnerabilities

No vulnerabilities reported

Install Handwriting-Recognition

You can download it from GitHub.
You can use Handwriting-Recognition 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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