Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

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)

Project description

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)More details: https://github.com/ZFTurbo/Weighted-Boxes-Fusion

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for ensemble-boxes, version 1.0.0
Filename, size File type Python version Upload date Hashes
Filename, size ensemble_boxes-1.0.0-py3-none-any.whl (7.9 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size ensemble_boxes-1.0.0.tar.gz (6.1 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page