SkinDetector | A Python based skin detection system using OpenCV | Computer Vision library

by WillBrennan Python Version: Current License: MIT

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

kandi X-RAY | SkinDetector Summary

SkinDetector is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. SkinDetector has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A Python based skin detection system using OpenCV

Support

Quality

Security

License

Reuse

Support

SkinDetector has a low active ecosystem.

It has 133 star(s) with 38 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 9 have been closed. On average issues are closed in 147 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SkinDetector is current.

Quality

SkinDetector has 0 bugs and 0 code smells.

Security

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

SkinDetector code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SkinDetector 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

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

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

Installation instructions, examples and code snippets are available.

SkinDetector saves you 113 person hours of effort in developing the same functionality from scratch.

It has 286 lines of code, 16 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Process an image
R Grab a cut mask
Calculate RGB mask based on a color image
Calculate ycrcb mask from an image
Calculate the HSV mask from an image
Closes the given mask
Display an image

Get all kandi verified functions for this library.

SkinDetector Key Features

No Key Features are available at this moment for SkinDetector.

SkinDetector Examples and Code Snippets

No Code Snippets are available at this moment for SkinDetector.

Community Discussions

Trending Discussions on SkinDetector

Converting webcam program to process one image

QUESTION

Converting webcam program to process one image

Asked 2018-Jul-20 at 16:02

I am currently trying to modify a program that takes in a webcam stream as input. The problem is, when I try to alter the program to use a single image, it doesn't display the output that I am expecting e.g. with video stream (code below)

...

ANSWER

Answered 2018-Jul-20 at 16:02

The original code processes different images captured from the camera each time it goes round the loop and outputs the differences. Since you are now using the same image every time round there are never any differences hence the output is completely blank. (Note that it will still be playing the output as a video, just a constantly blank one)

The first line in the for loop is where it grabs a new image from the camera:

Source https://stackoverflow.com/questions/51445756

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

Vulnerabilities

No vulnerabilities reported

Install SkinDetector

Getting the app to run is pretty easy. This script will not install OpenCV. However to install the rest of the project dependencies and run the demo script use the following commands;.

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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