[{"_1":2,"_154":-5,"_155":-5},"loaderData",{"_3":4,"_13":14,"_21":22,"_133":134},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","routes/_layout",{"_15":-5,"_16":17,"_18":17,"_19":11,"_20":11},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_23":24,"_25":-5,"_26":11,"_27":11,"_28":29,"_30":31,"_32":-5,"_33":11,"_34":35,"_84":-5,"_85":86,"_124":-5,"_125":11,"_126":17,"_127":11,"_128":-5,"_129":11,"_130":-5,"_131":132},"canonicalUrl","https://hub.docker.com/r/playdingnow/nsfwjs/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","playdingnow","reponame","nsfwjs","cloudBuildSource","isAutobuildsAvailable","repo",{"_36":37,"_38":39,"_41":42,"_43":44,"_45":11,"_46":47,"_48":49,"_50":51,"_53":31,"_28":29,"_54":55,"_56":40,"_57":58,"_59":60,"_61":62,"_63":-5,"_64":58,"_65":66,"_67":11,"_68":29,"_69":70,"_75":11,"_76":77,"_81":29,"_82":83},"categories",[],"content_types",[40],"image","date_registered","2019-06-13T09:37:17.353686Z","description","","is_private","last_updated","2019-06-13T09:53:23.138757Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[52],"application/vnd.docker.container.image.v1+json","name","pull_count",216,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","

\n $\"NSFWJS$ \n

Client-side indecent content checking

\n\n[![All Contributors](https://img.shields.io/badge/all_contributors-8-orange.svg?style=flat-square)](#contributors)\n[![Travis CI](https://travis-ci.com/infinitered/nsfwjs.svg?branch=master)]()\n\nA simple JavaScript library to help you quickly identify unseemly images; all in the client's browser. NSFWJS isn't perfect, but it's pretty accurate (~90% from our test set of 15,000 test images)... and it's getting more accurate all the time.\n\nWhy would this be useful? [Check out the announcement blog post](https://shift.infinite.red/avoid-nightmares-nsfw-js-ab7b176978b1).\n\n

\n $\"demo$ \n

\n\nThe library categorizes image probabilities in the following 5 classes:\n\n- `Drawing` - safe for work drawings (including anime)\n- `Hentai` - hentai and pornographic drawings\n- `Neutral` - safe for work neutral images\n- `Porn` - pornographic images, sexual acts\n- `Sexy` - sexually explicit images, not pornography\n\nThe demo is a continuous deployment source - Give it a go: http://nsfwjs.com/\n\n## How to use the module\n\nWith `async/await` support:\n\n```js\nimport * as nsfwjs from 'nsfwjs'\n\nconst img = document.getElementById('img')\n\n// Load model from my S3.\n// See the section hosting the model files on your site.\nconst model = await nsfwjs.load()\n\n// Classify the image\nconst predictions = await model.classify(img)\nconsole.log('Predictions: ', predictions)\n```\n\nWithout `async/await` support:\n\n```js\nimport * as nsfwjs from 'nsfwjs'\n\nconst img = document.getElementById('img')\n\n// Load model from my S3.\n// See the section hosting the model files on your site.\nnsfwjs.load().then(function(model) {\n model.classify(img).then(function(predictions) {\n // Classify the image\n console.log('Predictions: ', predictions)\n })\n})\n```\n\n## API\n\n#### `load` the model\n\nBefore you can classify any image, you'll need to load the model. You should use the optional first parameter and load the model from your website, as explained in the install directions.\n\n```js\nconst model = nsfwjs.load('/path/to/model/directory/')\n```\n\nIf you're using a model that needs an image of dimension other than 224x224, you can pass the size in the options parameter.\n```js\nconst model = nsfwjs.load('/path/to/different/model/', {size: 299})\n```\n\n**Parameters**\n\n- optional URL to the `model.json` folder.\n- optional object with size property that your model expects.\n\n**Returns**\n\n- Ready to use NSFWJS model object\n\n#### `classify` an image\n\nThis function can take any browser-based image elements (``, `

$\"Gant$ _{Gant Laborde} 💬 📝 💻 💡 🤔 🚇 👀 ⚠️	$\"Jamon$ _{Jamon Holmgren} 📖 🤔 💻 🖋	$\"Jeff$ _{Jeff Studenski} 🎨	$\"Frank$ _{Frank von Hoven III} 📖 🤔	$\"Sandesh$ _{Sandesh Soni} 💻	$\"Sean$ _{Sean Nam} 📖	$\"Gilbert$ _{Gilbert Emerson} 💻
$\"Oleksandr$ _{Oleksandr Kozlov} 🚇 ⚠️ 💻

playdingnow/nsfwjs

Tags for playdingnow/nsfwjs