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-0.2.5.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-0.2.5-py3-none-any.whl (38.2 kB view details)

Uploaded Python 3

File details

Details for the file contrai-0.2.5.tar.gz.

File metadata

  • Download URL: contrai-0.2.5.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-0.2.5.tar.gz
Algorithm Hash digest
SHA256 c135dcfd784533358be84458baf33831dbb737f2f848b5b3f9c5c62d51cf9a15
MD5 e30e661309beb822fed852b6030c48c7
BLAKE2b-256 6723ccfc69bf8fe4f3703984c997b93313e38b553810c0fcf3ae3b54431d23cb

See more details on using hashes here.

File details

Details for the file contrai-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: contrai-0.2.5-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-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e9d57cc96fc94dbf0d2b7f8aa3c18b84b7834defc6dc6e9f9d0465cd7f1e901c
MD5 551163aecfd2c1ca45a478c9ee51912d
BLAKE2b-256 cb11dd27f9508dfe7ff2c9b3cff3c3b3921b1b9eb890d85d35cd6e2c719fe599

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