Skip to main content

Package to process arcjet videos and segment the edge of the shock and of the sample

Project description

Documentation Status Anaconda-Server Badge tutorial


arcjetCV Logo

arcjetCV

Package to process arcjet videos and segment the edge of the shock and of the sample.

arcjetCV Functionality

Installation

PyPi Installation (Universal)

Prerequisites:

  • Ensure you have Python 3.8 or higher installed.

To install arcjetCV via pip from PyPi, run:

pip install arcjetCV

This will install arcjetCV along with its dependencies.

Note for macOS Users:

You might need to install Xcode Command Line Tools:

xcode-select --install

Note for Linux Users:

You may need to install libxcb-cursor. Use your package manager to install it:

For Ubuntu/Debian-based distributions:

sudo apt-get install libxcb-cursor0

For Fedora:

sudo dnf install libxcb-cursor

For Arch Linux:

sudo pacman -S libxcb

Conda Installation

Prerequisites:

For users who prefer conda for managing environments, follow these steps:

  1. Create a new conda environment and install arcjetCV:
conda create --name arcjetcv conda-forge::arcjetcv
conda activate arcjetcv

This will install arcjetCV along with all its dependencies in an isolated environment.

Note for macOS Users:

Make sure the Xcode Command Line Tools are installed:

xcode-select --install

Windows Users and Developers

Prerequisites:

  • Git LFS (Git Large File Storage) for handling large files.
  • Miniconda or Anaconda for environment and package management.

For Windows users or for local development of arcjetCV, follow these steps:

  1. Install git-lfs:

    Download and install it from here.

  2. Clone the repository and install the package:

git clone https://github.com/magnus-haw/arcjetCV.git
cd arcjetCV
conda env create -f env/arcjetCV_env_[cpu/gpu].yml
conda activate arcjetcv
python -m pip install -e .

The -e flag stands for 'editable' and means that any changes to the local source code will immediately affect the arcjetCV package and GUI.

How to Run

You can now launch the GUI by running:

conda activate arcjetcv # (if using conda)
arcjetCV

Alternatively, you can use arcjetCV's Python API inside a Python script, e.g., test.py:

import arcjetCV as arcv
video = arcv.Video("tests/arcjet_test.mp4")

Run the script with:

conda activate arcjetcv # (if using conda)
python test.py

Citing

If you use arcjetCV in your research, please use the following BibTeX entry to cite our paper:

@article{arcjetCV,
  title={arcjetCV: an open-source software to analyze material ablation},
  author={Quintart, Alexandre and Haw, Magnus and Semeraro, Federico},
  journal={arXiv preprint arXiv:2404.11492},
  year={2024}
}

Legal / License

Copyright © 2024 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. All Rights Reserved.

Disclaimers

No Warranty: THE SUBJECT SOFTWARE IS PROVIDED "AS IS" WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY THAT THE SUBJECT SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR FREEDOM FROM INFRINGEMENT, ANY WARRANTY THAT THE SUBJECT SOFTWARE WILL BE ERROR FREE, OR ANY WARRANTY THAT DOCUMENTATION, IF PROVIDED, WILL CONFORM TO THE SUBJECT SOFTWARE. THIS AGREEMENT DOES NOT, IN ANY MANNER, CONSTITUTE AN ENDORSEMENT BY GOVERNMENT AGENCY OR ANY PRIOR RECIPIENT OF ANY RESULTS, RESULTING DESIGNS, HARDWARE, SOFTWARE PRODUCTS OR ANY OTHER APPLICATIONS RESULTING FROM USE OF THE SUBJECT SOFTWARE. FURTHER, GOVERNMENT AGENCY DISCLAIMS ALL WARRANTIES AND LIABILITIES REGARDING THIRD-PARTY SOFTWARE, IF PRESENT IN THE ORIGINAL SOFTWARE, AND DISTRIBUTES IT "AS IS."

Waiver and Indemnity: RECIPIENT AGREES TO WAIVE ANY AND ALL CLAIMS AGAINST THE UNITED STATES GOVERNMENT, ITS CONTRACTORS AND SUBCONTRACTORS, AS WELL AS ANY PRIOR RECIPIENT. IF RECIPIENT'S USE OF THE SUBJECT SOFTWARE RESULTS IN ANY LIABILITIES, DEMANDS, DAMAGES, EXPENSES OR LOSSES ARISING FROM SUCH USE, INCLUDING ANY DAMAGES FROM PRODUCTS BASED ON, OR RESULTING FROM, RECIPIENT'S USE OF THE SUBJECT SOFTWARE, RECIPIENT SHALL INDEMNIFY AND HOLD HARMLESS THE UNITED STATES GOVERNMENT, ITS CONTRACTORS AND SUBCONTRACTORS, AS WELL AS ANY PRIOR RECIPIENT, TO THE EXTENT PERMITTED BY LAW. RECIPIENT'S SOLE REMEDY FOR ANY SUCH MATTER SHALL BE THE IMMEDIATE, UNILATERAL TERMINATION OF THIS AGREEMENT.

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

arcjetcv-0.0.6.dev1.tar.gz (241.8 kB view details)

Uploaded Source

Built Distribution

arcjetCV-0.0.6.dev1-py3-none-any.whl (243.5 kB view details)

Uploaded Python 3

File details

Details for the file arcjetcv-0.0.6.dev1.tar.gz.

File metadata

  • Download URL: arcjetcv-0.0.6.dev1.tar.gz
  • Upload date:
  • Size: 241.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for arcjetcv-0.0.6.dev1.tar.gz
Algorithm Hash digest
SHA256 516d901d0c8f59f5bac969de1d371f5f0e8e46d958d256450bd5b98c8975ab20
MD5 da1bab225a034acf727457f65bc3d0bc
BLAKE2b-256 43abf87cf8341ff092d634e635352642219a7f375655e7ea81ac4b0ba8591608

See more details on using hashes here.

File details

Details for the file arcjetCV-0.0.6.dev1-py3-none-any.whl.

File metadata

File hashes

Hashes for arcjetCV-0.0.6.dev1-py3-none-any.whl
Algorithm Hash digest
SHA256 460267b1fdaae9023a321baae3f6af8c89d39468abd0ead22d2e9a9cdaf1a6b2
MD5 fc12466bf98c6cbbe67550554ce4b775
BLAKE2b-256 51e95f1f534d2178b6b3c67c07570fb3e7af2c6bc4bc7c440d2809c817366085

See more details on using hashes here.

Supported by

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