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nativescript-plugin-firebase-ssi

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); var image_source_1 = require("tns-core-modules/image-source"); var automl_common_1 = require("./automl-common"); var MLKitAutoML = (function (_super) { __extends(MLKitAutoML, _super); function MLKitAutoML() { return _super !== null && _super.apply(this, arguments) || this; } MLKitAutoML.prototype.createDetector = function () { return getDetector(this.localModelResourceFolder, this.confidenceThreshold); }; MLKitAutoML.prototype.createSuccessListener = function () { var _this = this; return function (labels, error) { if (error !== null) { console.log(error.localizedDescription); } else if (labels !== null && labels.count > 0) { var result = { labels: [] }; for (var i = 0, l = labels.count; i < l; i++) { var label = labels.objectAtIndex(i); result.labels.push({ text: label.text, confidence: label.confidence }); } _this.notify({ eventName: MLKitAutoML.scanResultEvent, object: _this, value: result }); } }; }; MLKitAutoML.prototype.rotateRecording = function () { return true; }; return MLKitAutoML; }(automl_common_1.MLKitAutoML)); exports.MLKitAutoML = MLKitAutoML; function getDetector(localModelResourceFolder, confidenceThreshold) { var manifestPath = NSBundle.mainBundle.pathForResourceOfTypeInDirectory("manifest", "json", localModelResourceFolder); var fIRAutoMLLocalModel = FIRAutoMLLocalModel.alloc().initWithManifestPath(manifestPath); var options = FIRVisionOnDeviceAutoMLImageLabelerOptions.alloc().initWithLocalModel(fIRAutoMLLocalModel); options.confidenceThreshold = confidenceThreshold || 0.5; var fIRVisionImageLabeler = FIRVision.vision().onDeviceAutoMLImageLabelerWithOptions(options); return fIRVisionImageLabeler; } function labelImage(options) { return new Promise(function (resolve, reject) { try { var labelDetector = getDetector(options.localModelResourceFolder, options.confidenceThreshold); labelDetector.processImageCompletion(getImage(options), function (labels, error) { if (error !== null) { reject(error.localizedDescription); } else if (labels !== null) { var result = { labels: [] }; for (var i = 0, l = labels.count; i < l; i++) { var label = labels.objectAtIndex(i); result.labels.push({ text: label.text, confidence: label.confidence }); } resolve(result); } }); } catch (ex) { console.log("Error in firebase.mlkit.labelImageOnDevice: " + ex); reject(ex); } }); } exports.labelImage = labelImage; function getImage(options) { var image = options.image instanceof image_source_1.ImageSource ? options.image.ios : options.image.imageSource.ios; return FIRVisionImage.alloc().initWithImage(image); }