nativescript-plugin-firebase-ssi
Version:
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JavaScript
;
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 new com.google.android.gms.tasks.OnSuccessListener({
onSuccess: function (labels) {
if (labels.size() === 0)
return;
var result = {
labels: []
};
for (var i = 0; i < labels.size(); i++) {
var label = labels.get(i);
result.labels.push({
text: label.getText(),
confidence: label.getConfidence()
});
}
_this.notify({
eventName: MLKitAutoML.scanResultEvent,
object: _this,
value: result
});
}
});
};
return MLKitAutoML;
}(automl_common_1.MLKitAutoML));
exports.MLKitAutoML = MLKitAutoML;
function getDetector(localModelResourceFolder, confidenceThreshold) {
var model = new com.google.firebase.ml.vision.automl.FirebaseAutoMLLocalModel.Builder()
.setAssetFilePath(localModelResourceFolder + "/manifest.json")
.build();
var labelDetectorOptions = new com.google.firebase.ml.vision.label.FirebaseVisionOnDeviceAutoMLImageLabelerOptions.Builder(model)
.setConfidenceThreshold(confidenceThreshold)
.build();
return com.google.firebase.ml.vision.FirebaseVision.getInstance()
.getOnDeviceAutoMLImageLabeler(labelDetectorOptions);
}
function labelImage(options) {
return new Promise(function (resolve, reject) {
try {
var firebaseVisionAutoMLImageLabeler_1 = getDetector(options.localModelResourceFolder, options.confidenceThreshold || 0.5);
var onSuccessListener = new com.google.android.gms.tasks.OnSuccessListener({
onSuccess: function (labels) {
var result = {
labels: []
};
if (labels) {
for (var i = 0; i < labels.size(); i++) {
var label = labels.get(i);
result.labels.push({
text: label.getText(),
confidence: label.getConfidence()
});
}
}
resolve(result);
firebaseVisionAutoMLImageLabeler_1.close();
}
});
var onFailureListener = new com.google.android.gms.tasks.OnFailureListener({
onFailure: function (exception) { return reject(exception.getMessage()); }
});
firebaseVisionAutoMLImageLabeler_1
.processImage(getImage(options))
.addOnSuccessListener(onSuccessListener)
.addOnFailureListener(onFailureListener);
}
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.android : options.image.imageSource.android;
return com.google.firebase.ml.vision.common.FirebaseVisionImage.fromBitmap(image);
}