shape-recog | ml shape recognition app | Machine Learning library

by pixelmaid C++ Version: Current License: No License

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

kandi X-RAY | shape-recog Summary

shape-recog is a C++ library typically used in Artificial Intelligence, Machine Learning applications. shape-recog has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

ml shape recognition app.

Support

Quality

Security

License

Reuse

Support

shape-recog has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

shape-recog has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of shape-recog is current.

Quality

shape-recog has 0 bugs and 0 code smells.

Security

shape-recog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

shape-recog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

shape-recog 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

shape-recog releases are not available. You will need to build from source code and install.

It has 9 lines of code, 0 functions and 2 files.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of shape-recog

Get all kandi verified functions for this library.

shape-recog Key Features

No Key Features are available at this moment for shape-recog.

shape-recog Examples and Code Snippets

No Code Snippets are available at this moment for shape-recog.

Community Discussions

Trending Discussions on shape-recog

Tolerance issue while detecting Trapezium and Rhombus using Opencv

QUESTION

Tolerance issue while detecting Trapezium and Rhombus using Opencv

Asked 2020-Nov-01 at 14:04

I am supposed to write a code to recognise different shape, we were given a folder in which images of different shapes are given (Circle/ Triangle/ Trapezium/ Rhombus/ Square/ Quadrilateral/ Parallelogram/ Pentagon/ Hexagon). On recognising them it should return the output in the following format: { 'Shape': ['color', Area, cX, cY] }

My code keeps confusing Trapezium and Rhombus. I debugged it and found it's because of +/-1 tolerance in sides and angle. What should I do?.

Here are some of the links of StackOverflow that I tried: OpenCV: How to detect rhombus on an image? Detecting trapezium, rhombus, square, quadrilateral, parallelogram by Opencv in Python OpenCV shape detection Tutorial for iPhone OpenCV on shape recognising [closed]

There were more but they had community issues, so I won't waste your time on them. Long story short I did not find anything useful.

...

ANSWER

Answered 2020-Nov-01 at 14:04

As I mentioned, I was getting a tolerance of +/-1, so I used that tolerance to create a range and set if-elif-else conditions. I guess that's it. Correct this if you think it's not enough

p.s. I already have less reputation point so please don't vote. I am always open to constructive suggestions.

Source https://stackoverflow.com/questions/64621024

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

Vulnerabilities

No vulnerabilities reported

Install shape-recog

You can download it from GitHub.

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: