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-0.1.50.tar.gz (34.4 kB view details)

Uploaded Source

Built Distribution

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

contrai-0.1.50-py3-none-any.whl (37.6 kB view details)

Uploaded Python 3

File details

Details for the file contrai-0.1.50.tar.gz.

File metadata

  • Download URL: contrai-0.1.50.tar.gz
  • Upload date:
  • Size: 34.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for contrai-0.1.50.tar.gz
Algorithm Hash digest
SHA256 0e7cbeb0a1a04647927220e3b2ead8da88b071ba2d0119079fde36434f25abdd
MD5 730e833d08bd2de9647bef56f4c85189
BLAKE2b-256 e6352335341357545701a6e3f5bf2e842573e7577008600631d93215fc8d3aa9

See more details on using hashes here.

File details

Details for the file contrai-0.1.50-py3-none-any.whl.

File metadata

  • Download URL: contrai-0.1.50-py3-none-any.whl
  • Upload date:
  • Size: 37.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for contrai-0.1.50-py3-none-any.whl
Algorithm Hash digest
SHA256 781ce81c69e94e43ebb3e3eac1ac9d5d860ee8ea91bc6004840b6c83779c9e7c
MD5 ae78f8377972db0ac039cb1d95194cfd
BLAKE2b-256 7b55d21be9550a604ac029261baadd3a88e68dfaeb980173fbc46a3b4157451a

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