Trypo Extension

This extension detects and blocks trypophobic images on a webpage

Apa itu Trypo Extension?

Trypo Extension adalah ekstensi Chrome yang dikembangkan oleh shafay07, dan fitur utamanya adalah "This extension detects and blocks trypophobic images on a webpage".

Screenshot Ekstensi

screenshot

Unduh Berkas CRX Ekstensi Trypo Extension

Unduh file ekstensi Trypo Extension dalam format crx, pasang ekstensi Chrome secara manual di peramban, atau bagikan file crx dengan teman untuk menginstal ekstensi Chrome dengan mudah.

Petunjuk Penggunaan Ekstensi

                        This extension uses CNN model to detect trypophobic images on a web-page and blurs them out. It helps people suffering from trypophobia to surf internet happily :)

This tool is developed as a part of research work at the University of Nottingham.                    

Informasi Dasar Ekstensi

Nama Trypo Extension Trypo Extension
ID jbegedofebaioenjdjpcfmkgidcahobi
URL Resmi https://chromewebstore.google.com/detail/trypo-extension/jbegedofebaioenjdjpcfmkgidcahobi
Deskripsi This extension detects and blocks trypophobic images on a webpage
Ukuran File 8.7 MB
Jumlah Instalasi 22
Versi Saat Ini 1.1
Terakhir Diperbarui 2019-04-12
Tanggal Publikasi 2019-04-07
Penilaian 4.14/5 Total 7 Penilaian
Pengembang shafay07
Email [email protected]
Tipe Pembayaran free
Bahasa yang Didukung en
manifest.json
{
    "update_url": "https:\/\/clients2.google.com\/service\/update2\/crx",
    "manifest_version": 2,
    "name": "Trypo Extension",
    "version": "1.1",
    "description": "This extension detects and blocks trypophobic images on a webpage",
    "permissions": [
        "activeTab"
    ],
    "background": {
        "page": "background.html",
        "persistent": false
    },
    "content_scripts": [
        {
            "matches": [
                ""
            ],
            "js": [
                "lib\/load-image.all.min.js",
                "content.js"
            ]
        }
    ],
    "content_security_policy": "script-src 'self' 'unsafe-eval' https:\/\/cdn.jsdelivr.net\/npm\/@tensorflow\/[email protected]\/dist\/tf.min.js; object-src 'self'"
}