ensemble-boxes

v1.0.9

Python implementation of several methods for ensembling boxes from object detection models: Non-maximum Suppression (NMS), Soft-NMS, Non-maximum weighted (NMW), Weighted boxes fusion (WBF) For more information about how to use this package see README

Latest version published 3 years ago
License: MIT

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Package Health Score

49 / 100

Popularity

Recognized
GitHub Stars
1.74K
Forks
238
Contributors
5

Direct Usage Popularity

Uncommon

Based on project statistics from the GitHub repository for the PyPI package ensemble-boxes, we found that it has been starred 1,735 times.

Security

Security review needed
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1.0.9 (Latest)

Security and license risk for latest version

Release Date
Apr 20, 2022
Direct Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
Indirect Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
License Risk
  • 0
    H
  • 0
    M
  • 0
    L
All security vulnerabilities belong to production dependencies of direct and indirect packages.

License
MIT

Security Policy
No

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Maintenance

Inactive

Commit Frequency

No Recent Commits
Open Issues
36
Open PR
0
Last Release
3 years ago
Last Commit
2 years ago

Further analysis of the maintenance status of ensemble-boxes based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for ensemble-boxes is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable
Readme
Yes
Contributing.md
No
Code of Conduct
No
Contributors
5
Funding
No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like ensemble-boxes is missing a Code of Conduct.


Embed Package Health Score Badge

package health: 49/100 package health 49/100

Package

Python Versions Compatibility
Unspecified

Age
5 years
Latest Release
3 years ago
Dependencies
3 Direct / 11 Total
Versions
9
Maintainers
1
Wheels
OS Independent