blob: f5c53e0ee8acd6d334ef7975022a9a5df7ea12e7 [file] [log] [blame]
"use strict";
class MockFaceDetectionProvider {
constructor() {
this.bindingSet_ = new mojo.BindingSet(
shapeDetection.mojom.FaceDetectionProvider);
this.interceptor_ = new MojoInterfaceInterceptor(
shapeDetection.mojom.FaceDetectionProvider.name);
this.interceptor_.oninterfacerequest =
e => this.bindingSet_.addBinding(this, e.handle);
this.interceptor_.start();
}
createFaceDetection(request, options) {
this.mockService_ = new MockFaceDetection(request, options);
}
getFrameData() {
return this.mockService_.bufferData_;
}
getMaxDetectedFaces() {
return this.mockService_.maxDetectedFaces_;
}
getFastMode () {
return this.mockService_.fastMode_;
}
}
class MockFaceDetection {
constructor(request, options) {
this.maxDetectedFaces_ = options.maxDetectedFaces;
this.fastMode_ = options.fastMode;
this.binding_ =
new mojo.Binding(shapeDetection.mojom.FaceDetection, this, request);
}
detect(bitmap_data) {
let receivedStruct = new Uint8Array(bitmap_data.pixelData);
this.bufferData_ = new Uint32Array(receivedStruct.buffer);
return Promise.resolve({
results: [
{
boundingBox: {x: 1.0, y: 1.0, width: 100.0, height: 100.0},
landmarks: [{
type: shapeDetection.mojom.LandmarkType.EYE,
location: {x: 4.0, y: 5.0}
}]
},
{
boundingBox: {x: 2.0, y: 2.0, width: 200.0, height: 200.0},
landmarks: []
},
{
boundingBox: {x: 3.0, y: 3.0, width: 300.0, height: 300.0},
landmarks: []
},
]
});
}
}
let mockFaceDetectionProvider = new MockFaceDetectionProvider();