Package to process arcjet videos and segment the edge of the shock and of the sample.
The installation of the arcjetCV GUI and python package require a valid git installation, installation of the git-lfs (git large file storage) add-on and a Miniconda or Anaconda installation.
The software can be installed by running:
conda create --name arcjetcv conda-forge::arcjetcv
Please ensure that you have the Xcode Command Line Tools installed:
xcode-select --install
For local development of arcjetCV and for Windows users, these are the recommended installation steps:
-
Install
git lfs
(Git Large File Storage):You can download and install it from here.
-
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 it means that any change to the local source code will have immediate effect on the arcjetCV python package and GUI.
You can now launch the GUI by running:
conda activate arcjetCV
arcjetCV
or you can import arcjetCV's python API inside a python script, e.g. test.py:
import arcjetCV as arcv
video = arcv.Video("tests/arcjet_test.mp4")
and then run it as:
conda activate arcjetCV
python test.py
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}
}
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