Skip to main content

Detection and analysis of contrails using deep learning.

Project description

ContrAI 🛰️

A Python library for contrail detection and analysis using AI models.

ContrAI overlay example


🧠 Features

  • Automated contrail detection using deep learning
  • Image preprocessing and overlay visualization
  • Easy-to-use Python API

🚀 Installation

Create a conda environment:

conda create -n contrai_env python=3.10
conda activate contrai_env

Install the latest released version from PyPI:

pip install -U contrai

🧠 Jupyter Notebook Examples

Explore how to use this package with ready-to-run notebooks:


🌍 Interactive Contrail Detection Demo

Click the button below to view the fully interactive contrail detection output visualization:

View Interactive Demo


📚 Citation

If you use this package in your research, please cite:

DOI

IEEE Xplore


⚖️ License

This project is licensed under the Apache 2.0 License.


👥 Community

We welcome feedback, discussions, and contributions!
If you have suggestions, find a bug, or want to collaborate, feel free to open an issue or start a discussion.

Open Issues
Pull Requests


Note: This is the first release and will be updated soon with additional features for satellite contrail analysis and improvements to current capabilities.


ContrAI logo

2025 ContrAI.

Project details


Download files

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

Source Distribution

contrai-0.2.8.tar.gz (35.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

contrai-0.2.8-py3-none-any.whl (38.2 kB view details)

Uploaded Python 3

File details

Details for the file contrai-0.2.8.tar.gz.

File metadata

  • Download URL: contrai-0.2.8.tar.gz
  • Upload date:
  • Size: 35.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for contrai-0.2.8.tar.gz
Algorithm Hash digest
SHA256 e8e5183c15dbabeb3fea4d496d09b79d78afc16542944696fe7629f81973458c
MD5 268695f839db590c23b498d176420728
BLAKE2b-256 f2e5e616966cab4d22b43a142fbb4e8b31d74248372967703e6a797d1df4dba7

See more details on using hashes here.

File details

Details for the file contrai-0.2.8-py3-none-any.whl.

File metadata

  • Download URL: contrai-0.2.8-py3-none-any.whl
  • Upload date:
  • Size: 38.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for contrai-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 2dc19a3ba401a3642a41534360e80d25f199ef0890c6ca1c1f12f0ed9383c458
MD5 bd02272e388544efb357a5adde85927b
BLAKE2b-256 05cc05861fa1f2993ebfe419826186de2ce881f2f2b172bf31a7f05048228e9f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page