smarthomefans-darknet
Version:
A Node wrapper of pjreddie's open source neural network framework Darknet, using the Foreign Function Interface Library. Read: YOLOv3 in JavaScript.
133 lines (132 loc) • 6.84 kB
JavaScript
;
var __extends = (this && this.__extends) || (function () {
var extendStatics = function (d, b) {
extendStatics = Object.setPrototypeOf ||
({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||
function (d, b) { for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; };
return extendStatics(d, b);
};
return function (d, b) {
extendStatics(d, b);
function __() { this.constructor = d; }
d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());
};
})();
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
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) : new P(function (resolve) { resolve(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 });
var darknet_1 = require("./darknet");
var rxjs_1 = require("rxjs");
var operators_1 = require("rxjs/operators");
var shortid_1 = require("shortid");
var Darknet = /** @class */ (function (_super) {
__extends(Darknet, _super);
function Darknet(config) {
var _this = _super.call(this, config) || this;
_this.images$ = new rxjs_1.Subject();
_this.completion$ = new rxjs_1.Subject();
_this.detection$ = new rxjs_1.Subject();
_this.subscribeToDetections();
_this.completion$.next();
return _this;
}
Darknet.prototype.doAsyncDetection = function (image, config) {
return __awaiter(this, void 0, void 0, function () {
var thresh, hier_thresh, nms, darkNetLoadedImage, imageData, _a, detection;
var _this = this;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
if (!config)
config = {};
thresh = (config.thresh) ? config.thresh : 0.5;
hier_thresh = (config.hier_thresh) ? config.hier_thresh : 0.5;
nms = (config.nms) ? config.nms : 0.5;
darkNetLoadedImage = typeof image === 'string';
if (!(typeof image === 'string')) return [3 /*break*/, 2];
return [4 /*yield*/, this.getImageFromPathAsync(image)];
case 1:
_a = _b.sent();
return [3 /*break*/, 4];
case 2: return [4 /*yield*/, this.RGBBufferToImageAsync(image.b, image.w, image.h, image.c)];
case 3:
_a = _b.sent();
_b.label = 4;
case 4:
imageData = _a;
return [4 /*yield*/, this._detectAsync(this.net, this.meta, imageData, thresh, hier_thresh, nms)];
case 5:
detection = _b.sent();
if (!darkNetLoadedImage) return [3 /*break*/, 7];
// memory is owned by the darknet lib
return [4 /*yield*/, new Promise(function (res, rej) {
return _this.darknet.free_image.async(imageData, function (e) { return e ? rej(e) : res(); });
})];
case 6:
// memory is owned by the darknet lib
_b.sent();
return [3 /*break*/, 7];
case 7: return [2 /*return*/, detection];
}
});
});
};
Darknet.prototype.subscribeToDetections = function () {
var _this = this;
rxjs_1.zip(this.images$, this.completion$)
.subscribe(function (x) {
_this.doAsyncDetection(x[0].image)
.then(function (dets) {
_this.completion$.next();
_this.detection$.next({
id: x[0].id,
detections: dets
});
}).catch(function (er) { return console.log(er); });
});
};
Darknet.prototype.detectAsync = function (image, options) {
var _this = this;
var id = shortid_1.generate();
this.images$.next({ id: id, image: image, options: options });
return new Promise(function (resolve) {
_this.detection$
.pipe(operators_1.filter(function (det) { return det.id === id; }), operators_1.take(1)).subscribe(function (det) { return resolve(det.detections); });
});
};
return Darknet;
}(darknet_1.DarknetBase));
exports.Darknet = Darknet;