nsfwjs-node
Version:
Detect NSFW content client side
278 lines • 12.9 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 };
}
};
function __export(m) {
for (var p in m) if (!exports.hasOwnProperty(p)) exports[p] = m[p];
}
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("@tensorflow/tfjs-node");
var nsfw_classes_1 = require("./nsfw_classes");
var SuperGif = require("libgif");
var read_1 = require("./read");
__export(require("./read"));
var BASE_PATH = require('path').resolve(__dirname, './model/') + '/model.json';
var IMAGE_SIZE = 224;
function load(options) {
if (options === void 0) { options = { size: IMAGE_SIZE }; }
return __awaiter(this, void 0, void 0, function () {
var handler, nsfwnet;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
if (tf == null) {
throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please " +
"also include @tensorflow/tfjs on the page before using this model.");
}
handler = tf.io.fileSystem(BASE_PATH);
nsfwnet = new NSFWJS(handler, options);
return [4, nsfwnet.load()];
case 1:
_a.sent();
return [2, nsfwnet];
}
});
});
}
exports.load = load;
var NSFWJS = (function () {
function NSFWJS(modelPathBaseOrIOHandler, options) {
this.intermediateModels = {};
this.options = options;
this.normalizationOffset = tf.scalar(255);
if (typeof modelPathBaseOrIOHandler === 'string') {
this.pathOrIOHandler = modelPathBaseOrIOHandler + "model.json";
}
else {
this.pathOrIOHandler = modelPathBaseOrIOHandler;
}
}
NSFWJS.prototype.load = function () {
return __awaiter(this, void 0, void 0, function () {
var _a, size, result;
var _this = this;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
_a = this;
return [4, tf.loadLayersModel(this.pathOrIOHandler)];
case 1:
_a.model = _b.sent();
this.endpoints = this.model.layers.map(function (l) { return l.name; });
size = this.options.size;
result = tf.tidy(function () {
return _this.model.predict(tf.zeros([1, size, size, 3]));
});
return [4, result.data()];
case 2:
_b.sent();
result.dispose();
return [2];
}
});
});
};
NSFWJS.prototype.infer = function (img, endpoint) {
var _this = this;
if (endpoint != null && this.endpoints.indexOf(endpoint) === -1) {
throw new Error("Unknown endpoint " + endpoint + ". Available endpoints: " +
(this.endpoints + "."));
}
return tf.tidy(function () {
if (!(img instanceof tf.Tensor)) {
img = tf.browser.fromPixels(img);
}
var normalized = img
.toFloat()
.div(_this.normalizationOffset);
var resized = normalized;
var size = _this.options.size;
if (img.shape[0] !== size || img.shape[1] !== size) {
var alignCorners = true;
resized = tf.image.resizeBilinear(normalized, [size, size], alignCorners);
}
var batched = resized.reshape([1, size, size, 3]);
var model;
if (endpoint == null) {
model = _this.model;
}
else {
if (_this.intermediateModels[endpoint] == null) {
var layer = _this.model.layers.find(function (l) { return l.name === endpoint; });
_this.intermediateModels[endpoint] = tf.model({
inputs: _this.model.inputs,
outputs: layer.output
});
}
model = _this.intermediateModels[endpoint];
}
return model.predict(batched);
});
};
NSFWJS.prototype.classify = function (img, topk) {
if (topk === void 0) { topk = 5; }
return __awaiter(this, void 0, void 0, function () {
var logits, classes;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
logits = this.infer(img);
return [4, getTopKClasses(logits, topk)];
case 1:
classes = _a.sent();
logits.dispose();
return [2, classes];
}
});
});
};
NSFWJS.prototype.classifyGif = function (gif, config) {
if (config === void 0) { config = { topk: 5 }; }
return __awaiter(this, void 0, void 0, function () {
var gifObj;
var _this = this;
return __generator(this, function (_a) {
gifObj = new SuperGif({ gif: gif });
return [2, new Promise(function (resolve) {
gifObj.load(function () { return __awaiter(_this, void 0, void 0, function () {
var arrayOfClasses, gifLength, i, classes;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
arrayOfClasses = [];
gifLength = gifObj.get_length();
i = 1;
_a.label = 1;
case 1:
if (!(i <= gifLength)) return [3, 4];
gifObj.move_to(i);
return [4, this.classify(gifObj.get_canvas(), config.topk)];
case 2:
classes = _a.sent();
if (config.onFrame)
config.onFrame({
index: i,
totalFrames: gifLength,
predictions: classes
});
arrayOfClasses.push(classes);
_a.label = 3;
case 3:
i++;
return [3, 1];
case 4:
config.setGifControl && config.setGifControl(gifObj);
gifObj = null;
resolve(arrayOfClasses);
return [2];
}
});
}); });
})];
});
});
};
return NSFWJS;
}());
exports.NSFWJS = NSFWJS;
function getTopKClasses(logits, topK) {
return __awaiter(this, void 0, void 0, function () {
var values, valuesAndIndices, i, topkValues, topkIndices, i, topClassesAndProbs, i;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4, logits.data()];
case 1:
values = _a.sent();
valuesAndIndices = [];
for (i = 0; i < values.length; i++) {
valuesAndIndices.push({ value: values[i], index: i });
}
valuesAndIndices.sort(function (a, b) {
return b.value - a.value;
});
topkValues = new Float32Array(topK);
topkIndices = new Int32Array(topK);
for (i = 0; i < topK; i++) {
topkValues[i] = valuesAndIndices[i].value;
topkIndices[i] = valuesAndIndices[i].index;
}
topClassesAndProbs = [];
for (i = 0; i < topkIndices.length; i++) {
topClassesAndProbs.push({
className: nsfw_classes_1.NSFW_CLASSES[topkIndices[i]],
probability: topkValues[i]
});
}
return [2, topClassesAndProbs];
}
});
});
}
var model = null;
exports.isNSFW = function (filename, sexy, porn) {
if (sexy === void 0) { sexy = 0.5; }
if (porn === void 0) { porn = 0.5; }
return __awaiter(void 0, void 0, void 0, function () {
var logo, input, predictions, getField;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
if (!(model === null)) return [3, 2];
return [4, load()];
case 1:
model = _a.sent();
_a.label = 2;
case 2:
logo = read_1.readImage(filename);
input = read_1.imageToInput(logo, read_1.NUMBER_OF_CHANNELS);
return [4, model.classify(input)];
case 3:
predictions = _a.sent();
getField = function (key) {
for (var _i = 0, predictions_1 = predictions; _i < predictions_1.length; _i++) {
var pred = predictions_1[_i];
if (pred.className === key) {
return pred.probability;
}
}
return 0;
};
return [2, getField('Porn') >= porn || getField('Sexy') >= sexy];
}
});
});
};
//# sourceMappingURL=index.js.map