MathSymbolRecognizer | Copyright 2012-2014 Kenny Davila , Richard Zanibbi
kandi X-RAY | MathSymbolRecognizer Summary
kandi X-RAY | MathSymbolRecognizer Summary
MathSymbolRecognizer is a Python library. MathSymbolRecognizer has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However MathSymbolRecognizer build file is not available. You can download it from GitHub.
Copyright (c) 2012-2014 Kenny Davila, Richard Zanibbi. RIT DPRL Math Symbol Recognizers is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. RIT DPRL Math Symbol Recognizers is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with RIT DPRL Math Symbol Recognizers. If not, see The system divides is composed of different tools for data extraction, training and evaluation and other miscellaneous tools for isolated math symbol recognition. A README file is included in the doc/ directory for each tool that describes its purpose, how to use it and what its parameters are. A README file is included in the doc/ directory for each tool that describes its purpose, how to use it and what its parameters are.
Copyright (c) 2012-2014 Kenny Davila, Richard Zanibbi. RIT DPRL Math Symbol Recognizers is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. RIT DPRL Math Symbol Recognizers is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with RIT DPRL Math Symbol Recognizers. If not, see The system divides is composed of different tools for data extraction, training and evaluation and other miscellaneous tools for isolated math symbol recognition. A README file is included in the doc/ directory for each tool that describes its purpose, how to use it and what its parameters are. A README file is included in the doc/ directory for each tool that describes its purpose, how to use it and what its parameters are.
Support
Quality
Security
License
Reuse
Support
MathSymbolRecognizer has a low active ecosystem.
It has 23 star(s) with 5 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 530 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MathSymbolRecognizer is current.
Quality
MathSymbolRecognizer has 0 bugs and 0 code smells.
Security
MathSymbolRecognizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
MathSymbolRecognizer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
MathSymbolRecognizer is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
MathSymbolRecognizer releases are not available. You will need to build from source code and install.
MathSymbolRecognizer has no build file. You will be need to create the build yourself to build the component from source.
MathSymbolRecognizer saves you 2386 person hours of effort in developing the same functionality from scratch.
It has 5203 lines of code, 178 functions and 30 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed MathSymbolRecognizer and discovered the below as its top functions. This is intended to give you an instant insight into MathSymbolRecognizer implemented functionality, and help decide if they suit your requirements.
- Gets information about the type subsegments
- Compute the signed angle of alpha and beta
- Return the distance between two points
- Compute the slope angle between two points
- Returns a list of all features
- Compute the distance between a point
- Helper function to output a sample
- Load aninkml file
- Calculate the info about each line
- Return a list of crossings between two lines
- Save the bounding box as SVG
- Gets the bounding box of the traces
- Get all features for each symbol
- Get the PCA for a training set
- Calculates the variance of a matrix
- Extract the common set of samples from the given dataset
- Get the list of all the classes
- Load PCA parameters from file
- Calculates the counts of the number of labels per class
- Count the number of occurrences of two counts
- Load the symbols from aninkml file
- Load anink xml file
- Calculates the smoothing of the curve
- Replace string labels
- Project the PCA of a training set
- Calculates theabor distance
- Restore a symbol
Get all kandi verified functions for this library.
MathSymbolRecognizer Key Features
No Key Features are available at this moment for MathSymbolRecognizer.
MathSymbolRecognizer Examples and Code Snippets
No Code Snippets are available at this moment for MathSymbolRecognizer.
Community Discussions
No Community Discussions are available at this moment for MathSymbolRecognizer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MathSymbolRecognizer
You can download it from GitHub.
You can use MathSymbolRecognizer 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.
You can use MathSymbolRecognizer 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page