nms-python | Python Implementation of Non-maximum suppression | Build Tool library

by vickyboy47 Python Version: Current License: No License

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

kandi X-RAY | nms-python Summary

nms-python is a Python library typically used in Utilities, Build Tool, Numpy applications. nms-python has no bugs, it has no vulnerabilities and it has low support. However nms-python build file is not available. You can download it from GitHub.

Python Implementation of Non-maximum suppression.

Support

Quality

Security

License

Reuse

Support

nms-python has a low active ecosystem.

It has 9 star(s) with 9 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

nms-python has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nms-python is current.

Quality

nms-python has 0 bugs and 0 code smells.

Security

nms-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nms-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nms-python 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

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

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

It has 38 lines of code, 1 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Compute the nms of the given boxes .

Get all kandi verified functions for this library.

nms-python Key Features

No Key Features are available at this moment for nms-python.

nms-python Examples and Code Snippets

No Code Snippets are available at this moment for nms-python.

Community Discussions

Trending Discussions on nms-python

calling setattr before 'self' is returned

QUESTION

calling setattr before 'self' is returned

Asked 2017-Feb-27 at 11:15

I suspect this is kind of a klugefest on my part, but I'm working with the Luigi and Sciluigi modules which set a number of critical parameters PRIOR to 'self' being returned by an init. ANd if I try to manhandle these parameters AFTER self is returned, the Luigi.Parameter object masks them in such a way that I cant do what I need to do.

The luigi and sciluigi classes (as one uses them) contain no __init__. And if I try to insert an __init__ or call super(ChildClass, self).__init__(*args, **kwargs) ...I get weird errors 'unexpected parameter' errors.

So a Sciluigi class looks like this...

...

ANSWER

Answered 2017-Feb-24 at 22:12

Accept and silently discard arguments in your constructor, like so:

Source https://stackoverflow.com/questions/42442863

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

Vulnerabilities

No vulnerabilities reported

Install nms-python

You can download it from GitHub.
You can use nms-python 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: