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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 2 years ago
License: MIT
PyPI
GitHub

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Package Health Score

49 / 100

Popularity

Recognized
GitHub Stars
1.69K
Forks
234
Contributors
5

Direct Usage Popularity

Occasionally

Based on project statistics from the GitHub repository for the PyPI package ensemble-boxes, we found that it has been starred 1,692 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
35
Open PR
0
Last Release
2 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.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

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.

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package health: 49/100 package health 49/100

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Package

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