Skip to main content

draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem

Project description

====
autometric
====

``autometric`` is to help draw ROC,PR curves for image semantic segmentation problem.When you have groundtruth image and
predict probabilistic image,this package can draw ROC,PR curves and save them to your savepath.It can also calculate FPR
(False Positive Rate) TPR(True Positive Rate) AUC(Area under Curve) MAP(Mean Average Precision) IoU(Intersection over Union)
at the same time.

Usage
-----

``autometric`` include the following function/class:


- ``CollectData``: a ``class`` to calculate FPR,TPR,AUC,MAP,IOU

- ``DrawCurve``: a ``class`` to draw and save ROC PR curves

- ``fileList``: a ``function`` to collect file to a list

- ``drawCurve``: a ``function`` to draw curves and calculate parameters.Read example.py to get an idea of how to use!


.. image:: url(https://i.imgur.com/ZCNAIFw.png)
:width: 500px
:alt: Sphinx Neo-Hittite
:target:


Project details


Release history Release notifications

This version
History Node

0.1

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
autometric-0.1-py2.py3-none-any.whl (3.1 kB) Copy SHA256 hash SHA256 Wheel py2.py3
autometric-0.1.tar.gz (1.6 kB) Copy SHA256 hash SHA256 Source None

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