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codemeta.json
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65 lines (65 loc) · 2.05 KB
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{
"@context": "https://doi.org/10.5063/schema/codemeta-2.0",
"@type": "SoftwareSourceCode",
"name": "White-Box Cartoonization",
"description": "An AI-powered web application that transforms photographs into cartoon-style images using deep learning, utilizing a white-box representation framework and Generative Adversarial Networks (GANs).",
"identifier": "WHITE-BOX-CARTOONIZATION",
"license": "https://spdx.org/licenses/MIT.html",
"programmingLanguage": [
"Python",
"JavaScript",
"CSS",
"HTML"
],
"author": [
{
"@type": "Person",
"givenName": "Amey",
"familyName": "Thakur",
"id": "https://orcid.org/0000-0001-5644-1575",
"affiliation": {
"@type": "Organization",
"name": "Terna Engineering College"
}
},
{
"@type": "Person",
"givenName": "Hasan",
"familyName": "Rizvi",
"id": "https://github.com/rizvihasan",
"affiliation": {
"@type": "Organization",
"name": "Terna Engineering College"
}
},
{
"@type": "Person",
"givenName": "Mega",
"familyName": "Satish",
"id": "https://orcid.org/0000-0002-1844-9557",
"affiliation": {
"@type": "Organization",
"name": "Terna Engineering College"
}
}
],
"dateReleased": "2021-08-28",
"codeRepository": "https://github.com/Amey-Thakur/WHITE-BOX-CARTOONIZATION",
"developmentStatus": "complete",
"runtimePlatform": [
"Python 3.8+",
"TensorFlow 2.x",
"Flask 3.1.2"
],
"applicationCategory": "Artificial Intelligence / Image Processing",
"keywords": [
"White-Box Cartoonization",
"Generative Adversarial Networks",
"GANs",
"TensorFlow",
"Flask",
"Image Stylization",
"Machine Learning",
"Computer Engineering"
]
}