blob: 52bef29ed01857113f7563c381268bd904178faa [file] [log] [blame]
// Copyright 2018 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "services/shape_detection/face_detection_impl_mac_vision.h"
#include <vector>
#include "base/bind.h"
#include "base/logging.h"
#include "base/memory/ptr_util.h"
#include "third_party/skia/include/core/SkBitmap.h"
namespace shape_detection {
namespace {
mojom::LandmarkPtr BuildLandmark(VNFaceLandmarkRegion2D* landmark_region,
mojom::LandmarkType landmark_type,
gfx::RectF bounding_box) {
auto landmark = mojom::Landmark::New();
landmark->type = landmark_type;
landmark->locations.reserve(landmark_region.pointCount);
for (NSUInteger i = 0; i < landmark_region.pointCount; ++i) {
// The points are normalized to the bounding box of the detected face.
landmark->locations.emplace_back(
landmark_region.normalizedPoints[i].x * bounding_box.width() +
bounding_box.x(),
(1 - landmark_region.normalizedPoints[i].y) * bounding_box.height() +
bounding_box.y());
}
return landmark;
}
}
FaceDetectionImplMacVision::FaceDetectionImplMacVision() : weak_factory_(this) {
Class request_class = NSClassFromString(@"VNDetectFaceLandmarksRequest");
if (!request_class) {
DLOG(ERROR) << "Failed to load VNDetectFaceLandmarksRequest class";
return;
}
// The repeating callback will not be run if FaceDetectionImplMacVision object
// has already been destroyed.
landmarks_async_request_ = VisionAPIAsyncRequestMac::Create(
request_class,
base::BindRepeating(&FaceDetectionImplMacVision::OnFacesDetected,
weak_factory_.GetWeakPtr()));
}
FaceDetectionImplMacVision::~FaceDetectionImplMacVision() = default;
void FaceDetectionImplMacVision::Detect(const SkBitmap& bitmap,
DetectCallback callback) {
DCHECK(landmarks_async_request_);
if (!landmarks_async_request_->PerformRequest(bitmap)) {
std::move(callback).Run({});
return;
}
image_size_ = CGSizeMake(bitmap.width(), bitmap.height());
// Hold on the callback until async request completes.
detected_callback_ = std::move(callback);
// This prevents the Detect function from being called before the
// VisionAPIAsyncRequestMac completes.
if (binding_) // Can be unbound in unit testing.
binding_->PauseIncomingMethodCallProcessing();
}
void FaceDetectionImplMacVision::OnFacesDetected(VNRequest* request,
NSError* error) {
if (binding_) // Can be unbound in unit testing.
binding_->ResumeIncomingMethodCallProcessing();
if (![request.results count] || error) {
std::move(detected_callback_).Run({});
return;
}
std::vector<mojom::FaceDetectionResultPtr> results;
for (VNFaceObservation* const observation in request.results) {
auto face = mojom::FaceDetectionResult::New();
// The coordinate are normalized to the dimensions of the processed image.
face->bounding_box = ConvertCGToGfxCoordinates(
CGRectMake(observation.boundingBox.origin.x * image_size_.width,
observation.boundingBox.origin.y * image_size_.height,
observation.boundingBox.size.width * image_size_.width,
observation.boundingBox.size.height * image_size_.height),
image_size_.height);
if (VNFaceLandmarkRegion2D* leftEye = observation.landmarks.leftEye) {
face->landmarks.push_back(
BuildLandmark(leftEye, mojom::LandmarkType::EYE, face->bounding_box));
}
if (VNFaceLandmarkRegion2D* rightEye = observation.landmarks.rightEye) {
face->landmarks.push_back(BuildLandmark(
rightEye, mojom::LandmarkType::EYE, face->bounding_box));
}
if (VNFaceLandmarkRegion2D* outerLips = observation.landmarks.outerLips) {
face->landmarks.push_back(BuildLandmark(
outerLips, mojom::LandmarkType::MOUTH, face->bounding_box));
}
if (VNFaceLandmarkRegion2D* nose = observation.landmarks.nose) {
face->landmarks.push_back(
BuildLandmark(nose, mojom::LandmarkType::NOSE, face->bounding_box));
}
results.push_back(std::move(face));
}
std::move(detected_callback_).Run(std::move(results));
return;
}
} // namespace shape_detection