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Release v1.0.0
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- Accepted in the Journal of Open Source Software
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RLado committed Jul 31, 2023
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2 changes: 1 addition & 1 deletion README.md
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<a href="https://joss.theoj.org/papers/a0149e43cf19bbafe1cb9eecdcde6189"><img src="https://joss.theoj.org/papers/a0149e43cf19bbafe1cb9eecdcde6189/status.svg"></a>

Vision-based damage detection techinques can reduce sensor deployment costs while providing accurate, useful, and full-field readings of structural behaviour. Our work presents a video processing methodology based on [STB-VMM](https://github.com/RLado/STB-VMM) implemented in a software toolbox that allows the processing of video data to obtain vibrational signatures of complex structures. Our [tests](https://doi.org/10.1016/j.measurement.2022.112218) have demonstrated that this technique enables the identification of very light structural damage in a controlled lab environment. This vision-based technique may not be as precise as other contact-based or laser methods, but on the other hand, it offers an easy to use, effective, full-field, tool for structural health monitoring at a fraction of the cost.
Vision-based damage detection techniques can reduce sensor deployment costs while providing accurate, useful, and full-field readings of structural behaviour. Our work presents a video processing methodology based on [STB-VMM](https://github.com/RLado/STB-VMM) implemented in a software toolbox that allows the processing of video data to obtain vibrational signatures of complex structures. Our [tests](https://doi.org/10.1016/j.measurement.2022.112218) have demonstrated that this technique enables the identification of very light structural damage in a controlled lab environment. This vision-based technique may not be as precise as other contact-based or laser methods, but on the other hand, it offers an easy-to-use, effective, full-field tool for structural health monitoring at a fraction of the cost.

## Features
- Apply state-of-the-art video motion magnification
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18 changes: 9 additions & 9 deletions forge.config.js
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if (platform.platform === 'linux') {
// Move python files to the root of the package
fse.move(
"./out/ViMag_v0.1.6/vimag-linux-x64/resources/app/python",
"./out/ViMag_v0.1.6/vimag-linux-x64/python"
"./out/ViMag_v1.0.0/vimag-linux-x64/resources/app/python",
"./out/ViMag_v1.0.0/vimag-linux-x64/python"
);
}

// Windows build
if (platform.platform === 'win32') {
// Move python files to the root of the package
fse.moveSync(
"./out/ViMag_v0.1.6/vimag-win32-x64/resources/app/python",
"./out/ViMag_v0.1.6/vimag-win32-x64/python"
"./out/ViMag_v1.0.0/vimag-win32-x64/resources/app/python",
"./out/ViMag_v1.0.0/vimag-win32-x64/python"
);
fse.copySync(
"./out/ViMag_v0.1.6/vimag-win32-x64/python/interpreter/externals/tcltk-8.6.12.0/amd64/lib/tcl8.6",
"./out/ViMag_v0.1.6/vimag-win32-x64/python/interpreter/PCbuild/lib/tcl8.6"
"./out/ViMag_v1.0.0/vimag-win32-x64/python/interpreter/externals/tcltk-8.6.12.0/amd64/lib/tcl8.6",
"./out/ViMag_v1.0.0/vimag-win32-x64/python/interpreter/PCbuild/lib/tcl8.6"
);
fse.copySync(
"./out/ViMag_v0.1.6/vimag-win32-x64/python/interpreter/externals/tcltk-8.6.12.0/amd64/lib/tk8.6",
"./out/ViMag_v0.1.6/vimag-win32-x64/python/interpreter/PCbuild/lib/tcl8.6/tk8.6"
"./out/ViMag_v1.0.0/vimag-win32-x64/python/interpreter/externals/tcltk-8.6.12.0/amd64/lib/tk8.6",
"./out/ViMag_v1.0.0/vimag-win32-x64/python/interpreter/PCbuild/lib/tcl8.6/tk8.6"
);
}
},
},
buildIdentifier: 'ViMag_v0.1.6'
buildIdentifier: 'ViMag_v1.0.0'
}

2 changes: 1 addition & 1 deletion html/about.html
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<h3> ViMag: A Video Vibration Toolbox </h3>

<p>
<b>Version: 0.1.6</b> <br>
<b>Version: 1.0.0</b> <br>
Author: Ricard Lado [[email protected]]
</p>

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2 changes: 1 addition & 1 deletion package.json
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{
"name": "vimag",
"version": "0.1.6",
"version": "1.0.0",
"description": "A video vibration toolbox",
"main": "main.js",
"scripts": {
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