@nsfwspy/node
Version:
A nudity/pornography image classifier built for Node.js.
135 lines (134 loc) • 6.47 kB
JavaScript
"use strict";
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (_) try {
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.NsfwSpyResult = exports.NsfwSpy = void 0;
var tf = require("@tensorflow/tfjs-node");
var fs = require("fs");
tf.enableProdMode();
var NsfwSpy = /** @class */ (function () {
function NsfwSpy(modelPath) {
this.imageSize = 224;
this.modelPath = modelPath;
this.model = null;
}
NsfwSpy.prototype.load = function (loadOptions) {
return __awaiter(this, void 0, void 0, function () {
var _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
_a = this;
return [4 /*yield*/, tf.loadGraphModel(this.modelPath, loadOptions)];
case 1:
_a.model = _b.sent();
return [2 /*return*/];
}
});
});
};
NsfwSpy.prototype.classifyImageFromByteArray = function (imageBuffer) {
return __awaiter(this, void 0, void 0, function () {
var outputs, data;
var _this = this;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
outputs = tf.tidy(function () {
if (!_this.model)
throw new Error("The NsfwSpy model has not been loaded yet.");
var decodedImage = tf.node.decodeImage(imageBuffer, 3)
.toFloat()
.div(tf.scalar(255));
var resizedImage = tf.image.resizeBilinear(decodedImage, [_this.imageSize, _this.imageSize], true);
var image = resizedImage.reshape([1, _this.imageSize, _this.imageSize, 3]);
return _this.model.execute({ 'import/input': image }, ['Score']);
});
return [4 /*yield*/, outputs.data()];
case 1:
data = _a.sent();
outputs.dispose();
return [2 /*return*/, new NsfwSpyResult(data)];
}
});
});
};
NsfwSpy.prototype.classifyImageFile = function (filePath) {
return __awaiter(this, void 0, void 0, function () {
var imageBuffer;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, fs.readFileSync(filePath)];
case 1:
imageBuffer = _a.sent();
return [2 /*return*/, this.classifyImageFromByteArray(imageBuffer)];
}
});
});
};
return NsfwSpy;
}());
exports.NsfwSpy = NsfwSpy;
var NsfwSpyResult = /** @class */ (function () {
function NsfwSpyResult(results) {
this.hentai = results[0];
this.neutral = results[1];
this.pornography = results[2];
this.sexy = results[3];
this.predictedLabel = this.toDictionary()[0].key;
}
Object.defineProperty(NsfwSpyResult.prototype, "isNsfw", {
get: function () {
return this.neutral < 0.5;
},
enumerable: false,
configurable: true
});
NsfwSpyResult.prototype.toDictionary = function () {
var dictionary = [
{ key: "hentai", value: this.hentai },
{ key: "neutral", value: this.neutral },
{ key: "pornography", value: this.pornography },
{ key: "sexy", value: this.sexy }
];
return dictionary.sort(function (a, b) {
return b.value - a.value;
});
};
return NsfwSpyResult;
}());
exports.NsfwSpyResult = NsfwSpyResult;