Trypo Extension

This extension detects and blocks trypophobic images on a webpage

Hvad er Trypo Extension?

Trypo Extension er en Chrome-udvidelse udviklet af shafay07, og dens hovedfunktion er "This extension detects and blocks trypophobic images on a webpage".

Udvidelsesskærmbilleder

screenshot

Download Trypo Extension-udvidelses-CRX-fil

Download Trypo Extension-udvidelsesfiler i crx-format, installer Chrome-udvidelser manuelt i browseren eller del crx-filer med venner for nemt at installere Chrome-udvidelser.

Brugsanvisning til Udvidelsen

                        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.                    

Grundlæggende oplysninger om udvidelsen

Navn Trypo Extension Trypo Extension
ID jbegedofebaioenjdjpcfmkgidcahobi
Officiel URL https://chromewebstore.google.com/detail/trypo-extension/jbegedofebaioenjdjpcfmkgidcahobi
Beskrivelse This extension detects and blocks trypophobic images on a webpage
Filstørrelse 8.7 MB
Antal Installationer 22
Nuværende Version 1.1
Senest Opdateret 2019-04-12
Udgivelsesdato 2019-04-07
Bedømmelse 4.14/5 Samlet 7 Bedømmelser
Udvikler shafay07
E-mail [email protected]
Betalingsmetode free
Understøttede Sprog 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'"
}