Non-Maximum-Suppression | 描述非极大值抑制（Non-Maximum-Suppression，NMS） | Plugin library

by amusi Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | Non-Maximum-Suppression Summary

Non-Maximum-Suppression is a Python library typically used in Plugin, Minecraft, OpenCV applications. Non-Maximum-Suppression has no bugs, it has no vulnerabilities and it has low support. However Non-Maximum-Suppression build file is not available. You can download it from GitHub.

描述非极大值抑制（Non-Maximum-Suppression，NMS）

Support

Quality

Security

License

Reuse

Support

Non-Maximum-Suppression has a low active ecosystem.

It has 30 star(s) with 9 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 229 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Non-Maximum-Suppression is current.

Quality

Non-Maximum-Suppression has 0 bugs and 0 code smells.

Security

Non-Maximum-Suppression has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Non-Maximum-Suppression code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Non-Maximum-Suppression 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

Non-Maximum-Suppression releases are not available. You will need to build from source code and install.

Non-Maximum-Suppression has no build file. You will be need to create the build yourself to build the component from source.

Non-Maximum-Suppression saves you 22 person hours of effort in developing the same functionality from scratch.

It has 62 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 Non-Maximum-Suppression and discovered the below as its top functions. This is intended to give you an instant insight into Non-Maximum-Suppression implemented functionality, and help decide if they suit your requirements.

Compute the nms of a bounding boxes .

Get all kandi verified functions for this library.

Non-Maximum-Suppression Key Features

No Key Features are available at this moment for Non-Maximum-Suppression.

Non-Maximum-Suppression Examples and Code Snippets

No Code Snippets are available at this moment for Non-Maximum-Suppression.

Community Discussions

Trending Discussions on Non-Maximum-Suppression

Plus one in calculating area of rectangle

Non maximum suppression from google cloud vision response nodejs

Fast NMS algorithm suppresses boxes without overlap

Convert vector OpenCV to vector> in C++

QUESTION

Plus one in calculating area of rectangle

Asked 2020-Nov-05 at 03:41

areas = (end_x - start_x + 1) * (end_y - start_y + 1)

...

ANSWER

Answered 2020-Nov-05 at 03:41

I guess that plus one is just used to get the exact area. For example, width begin in pixel 2, end in pixel 4. The exact width is 3 (pixel 2, 3, 4). A 3 equals to 4 - 2 + 1.

But in my opion, it's not essential to care about that. Just make sure you cal every area in the same standard.

Source https://stackoverflow.com/questions/64690655

QUESTION

Non maximum suppression from google cloud vision response nodejs

Asked 2019-Sep-03 at 09:25

So I'd like to see if it's possible to implement non max suppression in nodejs from google clouds vision API responses, for example a response looks like this:

...

ANSWER

Answered 2019-Sep-03 at 09:25

Ok so actually this is pretty simple if you use Tensorflow.js - use the following function to take the response from google vision:

Note 288 and 512 are my image width and height you'll need to setup your own.

Source https://stackoverflow.com/questions/57748071

QUESTION

Fast NMS algorithm suppresses boxes without overlap

Asked 2019-May-08 at 08:45

I'm testing out the Fast NMS algorithm by Malisiewicz et al. I noticed while running through examples that in one case, if I input two particular boxes that have no overlap, with an IoU threshold below approximately 0.75, one box is suppressed anyway.

Am I misunderstanding NMS? I thought that no boxes should be dropped if there's zero overlap between them, regardless of where the IoU threshold is set.

Example:

...

ANSWER

Answered 2019-May-08 at 08:45

your input test case is not legal, argument boxes expect boxes coordinates in absolute format, e.g. in pixel coordinates.

you can notice that when calculating area of all boxes, it is

Source https://stackoverflow.com/questions/56032918

QUESTION

Convert vector OpenCV to vector> in C++

Asked 2017-Jul-05 at 07:51

I am trying to convert the vector Rect datatype to vector vector float to use non maximum suppression on the vector. vector contains rectangle points of faces. I want to apply nms as seen here:Non Maximum Suppression.

When trying to compile I get following error:

...

ANSWER

Answered 2017-Jul-05 at 07:51

I added the nms files into the CMakeFileList.txt SOURCE_FILES(). It seems to work now.

Source https://stackoverflow.com/questions/44826786

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

Vulnerabilities

No vulnerabilities reported

Install Non-Maximum-Suppression

You can download it from GitHub.
You can use Non-Maximum-Suppression 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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