Hello-Morse-OpenCV | Morse Code detection with eyes using Computer Vision

by raghavpatnecha Python Version: Current License: No License

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

kandi X-RAY | Hello-Morse-OpenCV Summary

Hello-Morse-OpenCV is a Python library. Hello-Morse-OpenCV has no bugs, it has no vulnerabilities and it has low support. However Hello-Morse-OpenCV build file is not available. You can download it from GitHub.

Morse Code encodes the ISO basic Latin alphabet, some extra Latin letters, the Arabic numerals and a small set of punctuation and procedural signals (prosigns) as standardized sequences of short and long signals called "dots" and "dashes", or "dits" and "dahs", as in amateur radio practice.

Support

Quality

Security

License

Reuse

Support

Hello-Morse-OpenCV has a low active ecosystem.

It has 40 star(s) with 21 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Hello-Morse-OpenCV is current.

Quality

Hello-Morse-OpenCV has 0 bugs and 0 code smells.

Security

Hello-Morse-OpenCV has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Hello-Morse-OpenCV code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Hello-Morse-OpenCV does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Hello-Morse-OpenCV releases are not available. You will need to build from source code and install.

Hello-Morse-OpenCV has no build file. You will be need to create the build yourself to build the component from source.

Hello-Morse-OpenCV saves you 214 person hours of effort in developing the same functionality from scratch.

It has 525 lines of code, 18 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the aspect ratio
Convert morse to text
Log a success message
Calculate the ratio of eye aspect ratio
Create a video feed
Stream of bytes
Generate morse representation
Get a PNG image from the cap

Get all kandi verified functions for this library.

Hello-Morse-OpenCV Key Features

No Key Features are available at this moment for Hello-Morse-OpenCV.

Hello-Morse-OpenCV Examples and Code Snippets

No Code Snippets are available at this moment for Hello-Morse-OpenCV.

Community Discussions

No Community Discussions are available at this moment for Hello-Morse-OpenCV.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Hello-Morse-OpenCV

You can download it from GitHub.
You can use Hello-Morse-OpenCV 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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