From 0179f0c4566ae78e02e1198cb73c60e4668395b5 Mon Sep 17 00:00:00 2001 From: MediaPipe Team Date: Wed, 12 Apr 2023 15:00:53 -0700 Subject: [PATCH] Update TensorsToFaceLandmarksGraph to support face mesh v2 model. PiperOrigin-RevId: 523814749 --- .../face_landmarker_graph_test.cc | 20 +- .../face_landmarker/face_landmarker_test.cc | 209 +- .../face_landmarks_detector_graph.cc | 38 +- .../face_landmarks_detector_graph_test.cc | 67 +- ...sors_to_face_landmarks_graph_options.proto | 8 +- .../tensors_to_face_landmarks_graph.cc | 119 +- .../facelandmarker/FaceLandmarkerTest.java | 15 +- .../test/vision/face_landmarker_test.py | 15 +- mediapipe/tasks/testdata/vision/BUILD | 10 +- .../testdata/vision/face_landmarker_v2.task | Bin 0 -> 1402487 bytes .../face_landmarker_v2_with_blendshapes.task | Bin 0 -> 2357924 bytes ...xt => portrait_expected_blendshapes.pbtxt} | 0 ... => portrait_expected_face_geometry.pbtxt} | 2830 ++++++++--------- .../portrait_expected_face_landmarks.pbtxt | 1912 +++++------ ...pected_face_landmarks_with_attention.pbtxt | 1914 ----------- third_party/external_files.bzl | 36 +- 16 files changed, 2560 insertions(+), 4633 deletions(-) create mode 100644 mediapipe/tasks/testdata/vision/face_landmarker_v2.task create mode 100644 mediapipe/tasks/testdata/vision/face_landmarker_v2_with_blendshapes.task rename mediapipe/tasks/testdata/vision/{portrait_expected_blendshapes_with_attention.pbtxt => portrait_expected_blendshapes.pbtxt} (100%) rename mediapipe/tasks/testdata/vision/{portrait_expected_face_geometry_with_attention.pbtxt => portrait_expected_face_geometry.pbtxt} (67%) delete mode 100644 mediapipe/tasks/testdata/vision/portrait_expected_face_landmarks_with_attention.pbtxt diff --git a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_graph_test.cc b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_graph_test.cc index 251f788ac..063d6835e 100644 --- a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_graph_test.cc +++ b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_graph_test.cc @@ -68,19 +68,17 @@ using ::testing::proto::Approximately; using ::testing::proto::Partially; constexpr char kTestDataDirectory[] = "/mediapipe/tasks/testdata/vision/"; -constexpr char kFaceLandmarkerModelBundleName[] = "face_landmarker.task"; +constexpr char kFaceLandmarkerModelBundleName[] = "face_landmarker_v2.task"; constexpr char kFaceLandmarkerWithBlendshapesModelBundleName[] = - "face_landmarker_with_blendshapes.task"; + "face_landmarker_v2_with_blendshapes.task"; constexpr char kPortraitImageName[] = "portrait.jpg"; constexpr char kCatImageName[] = "cat.jpg"; -constexpr char kPortraitExpectedFaceLandamrksName[] = +constexpr char kPortraitExpectedFaceLandmarksName[] = "portrait_expected_face_landmarks.pbtxt"; -constexpr char kPortraitExpectedFaceLandamrksWithAttentionName[] = - "portrait_expected_face_landmarks_with_attention.pbtxt"; constexpr char kPortraitExpectedBlendshapesName[] = - "portrait_expected_blendshapes_with_attention.pbtxt"; + "portrait_expected_blendshapes.pbtxt"; constexpr char kPortraitExpectedFaceGeometryName[] = - "portrait_expected_face_geometry_with_attention.pbtxt"; + "portrait_expected_face_geometry.pbtxt"; constexpr char kImageTag[] = "IMAGE"; constexpr char kImageName[] = "image"; @@ -95,7 +93,7 @@ constexpr char kFaceGeometryName[] = "face_geometry"; constexpr float kLandmarksDiffMargin = 0.03; constexpr float kBlendshapesDiffMargin = 0.1; -constexpr float kFaceGeometryDiffMargin = 0.01; +constexpr float kFaceGeometryDiffMargin = 0.02; template ProtoT GetExpectedProto(absl::string_view filename) { @@ -250,7 +248,7 @@ INSTANTIATE_TEST_SUITE_P( /* test_image_name= */ kPortraitImageName, /* expected_landmarks_list= */ {{GetExpectedProto( - kPortraitExpectedFaceLandamrksName)}}, + kPortraitExpectedFaceLandmarksName)}}, /* expected_blendshapes= */ std::nullopt, /* expected_face_geometry= */ std::nullopt, /* landmarks_diff_threshold= */ kLandmarksDiffMargin, @@ -275,7 +273,7 @@ INSTANTIATE_TEST_SUITE_P( /* test_image_name= */ kPortraitImageName, /* expected_landmarks_list= */ {{GetExpectedProto( - kPortraitExpectedFaceLandamrksWithAttentionName)}}, + kPortraitExpectedFaceLandmarksName)}}, /* expected_blendshapes= */ {{GetExpectedProto( kPortraitExpectedBlendshapesName)}}, @@ -290,7 +288,7 @@ INSTANTIATE_TEST_SUITE_P( /* test_image_name= */ kPortraitImageName, /* expected_landmarks_list= */ {{GetExpectedProto( - kPortraitExpectedFaceLandamrksWithAttentionName)}}, + kPortraitExpectedFaceLandmarksName)}}, /* expected_blendshapes= */ {{GetExpectedProto( kPortraitExpectedBlendshapesName)}}, diff --git a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_test.cc b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_test.cc index 033f92cf1..411693ecf 100644 --- a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_test.cc +++ b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_test.cc @@ -43,6 +43,7 @@ limitations under the License. #include "mediapipe/tasks/cc/components/processors/proto/classifier_options.pb.h" #include "mediapipe/tasks/cc/core/base_options.h" #include "mediapipe/tasks/cc/vision/core/image_processing_options.h" +#include "mediapipe/tasks/cc/vision/face_geometry/proto/face_geometry.pb.h" #include "mediapipe/tasks/cc/vision/face_landmarker/face_landmarker_result.h" #include "mediapipe/tasks/cc/vision/utils/image_utils.h" @@ -59,19 +60,18 @@ using ::testing::TestWithParam; using ::testing::Values; constexpr char kTestDataDirectory[] = "/mediapipe/tasks/testdata/vision/"; -constexpr char kFaceLandmarkerModelBundleName[] = "face_landmarker.task"; constexpr char kFaceLandmarkerWithBlendshapesModelBundleName[] = - "face_landmarker_with_blendshapes.task"; + "face_landmarker_v2_with_blendshapes.task"; constexpr char kPortraitImageName[] = "portrait.jpg"; -constexpr char kPortraitExpectedFaceLandamrksName[] = +constexpr char kPortraitExpectedFaceLandmarksName[] = "portrait_expected_face_landmarks.pbtxt"; -constexpr char kPortraitExpectedFaceLandmarksWithAttentionName[] = - "portrait_expected_face_landmarks_with_attention.pbtxt"; constexpr char kPortraitExpectedBlendshapesName[] = - "portrait_expected_blendshapes_with_attention.pbtxt"; + "portrait_expected_blendshapes.pbtxt"; +constexpr char kPortaitExpectedFaceGeomertyName[] = + "portrait_expected_face_geometry.pbtxt"; constexpr float kLandmarksDiffMargin = 0.03; -constexpr float kBlendshapesDiffMargin = 0.1; +constexpr float kBlendshapesDiffMargin = 0.12; constexpr float kFacialTransformationMatrixDiffMargin = 0.02; template @@ -99,13 +99,9 @@ struct FaceLandmarkerTestParams { }; mediapipe::MatrixData MakePortraitExpectedFacialTransformationMatrix() { - const Matrix matrix{{0.9995292, -0.005092691, 0.030254554, -0.37340546}, - {0.0072318087, 0.99744856, -0.07102106, 22.212194}, - {-0.029815676, 0.07120642, 0.9970159, -64.76358}, - {0, 0, 0, 1}}; - mediapipe::MatrixData matrix_data; - MatrixDataProtoFromMatrix(matrix, &matrix_data); - return matrix_data; + auto face_geometry = GetExpectedProto( + kPortaitExpectedFaceGeomertyName); + return face_geometry.pose_transform_matrix(); } testing::Matcher LandmarkIs( @@ -232,51 +228,41 @@ TEST_P(ImageModeTest, Succeeds) { INSTANTIATE_TEST_SUITE_P( FaceLandmarkerTest, ImageModeTest, - Values(FaceLandmarkerTestParams{ - /* test_name= */ "Portrait", - /* input_model_name= */ kFaceLandmarkerModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandamrksName)})}, - FaceLandmarkerTestParams{ - /* test_name= */ "PortraitWithAttention", - /* input_model_name= */ - kFaceLandmarkerWithBlendshapesModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandmarksWithAttentionName)})}, - FaceLandmarkerTestParams{ - /* test_name= */ "PortraitWithBlendshapes", - /* input_model_name= */ - kFaceLandmarkerWithBlendshapesModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandmarksWithAttentionName)}, - {{GetExpectedProto( - kPortraitExpectedBlendshapesName)}})}, - FaceLandmarkerTestParams{ - /* test_name= */ "PortraitWithBlendshapesWithFacialTransformatio" - "nMatrix", - /* input_model_name= */ - kFaceLandmarkerWithBlendshapesModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandmarksWithAttentionName)}, - {{GetExpectedProto( - kPortraitExpectedBlendshapesName)}}, - {{MakePortraitExpectedFacialTransformationMatrix()}})}), + Values( + FaceLandmarkerTestParams{/* test_name= */ "PortraitV2", + /* input_model_name= */ + kFaceLandmarkerWithBlendshapesModelBundleName, + /* test_image_name= */ kPortraitImageName, + /* rotation= */ 0, + /* expected_result= */ + ConvertToFaceLandmarkerResult( + {GetExpectedProto( + kPortraitExpectedFaceLandmarksName)})}, + FaceLandmarkerTestParams{/* test_name= */ "PortraitWithBlendshapes", + /* input_model_name= */ + kFaceLandmarkerWithBlendshapesModelBundleName, + /* test_image_name= */ kPortraitImageName, + /* rotation= */ 0, + /* expected_result= */ + ConvertToFaceLandmarkerResult( + {GetExpectedProto( + kPortraitExpectedFaceLandmarksName)}, + {{GetExpectedProto( + kPortraitExpectedBlendshapesName)}})}, + FaceLandmarkerTestParams{ + /* test_name= */ "PortraitWithBlendshapesWithFacialTransformatio" + "nMatrix", + /* input_model_name= */ + kFaceLandmarkerWithBlendshapesModelBundleName, + /* test_image_name= */ kPortraitImageName, + /* rotation= */ 0, + /* expected_result= */ + ConvertToFaceLandmarkerResult( + {GetExpectedProto( + kPortraitExpectedFaceLandmarksName)}, + {{GetExpectedProto( + kPortraitExpectedBlendshapesName)}}, + {{MakePortraitExpectedFacialTransformationMatrix()}})}), [](const TestParamInfo& info) { return info.param.test_name; }); @@ -318,37 +304,28 @@ TEST_P(VideoModeTest, Succeeds) { INSTANTIATE_TEST_SUITE_P( FaceLandmarkerTest, VideoModeTest, - Values(FaceLandmarkerTestParams{ - /* test_name= */ "Portrait", - /* input_model_name= */ kFaceLandmarkerModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandamrksName)})}, - FaceLandmarkerTestParams{ - /* test_name= */ "PortraitWithAttention", - /* input_model_name= */ - kFaceLandmarkerWithBlendshapesModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandmarksWithAttentionName)})}, - FaceLandmarkerTestParams{ - /* test_name= */ "PortraitWithBlendshapes", - /* input_model_name= */ - kFaceLandmarkerWithBlendshapesModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandmarksWithAttentionName)}, - {{GetExpectedProto( - kPortraitExpectedBlendshapesName)}})}), + Values( + + FaceLandmarkerTestParams{/* test_name= */ "Portrait", + /* input_model_name= */ + kFaceLandmarkerWithBlendshapesModelBundleName, + /* test_image_name= */ kPortraitImageName, + /* rotation= */ 0, + /* expected_result= */ + ConvertToFaceLandmarkerResult( + {GetExpectedProto( + kPortraitExpectedFaceLandmarksName)})}, + FaceLandmarkerTestParams{/* test_name= */ "PortraitWithBlendshapes", + /* input_model_name= */ + kFaceLandmarkerWithBlendshapesModelBundleName, + /* test_image_name= */ kPortraitImageName, + /* rotation= */ 0, + /* expected_result= */ + ConvertToFaceLandmarkerResult( + {GetExpectedProto( + kPortraitExpectedFaceLandmarksName)}, + {{GetExpectedProto( + kPortraitExpectedBlendshapesName)}})}), [](const TestParamInfo& info) { return info.param.test_name; }); @@ -413,37 +390,27 @@ TEST_P(LiveStreamModeTest, Succeeds) { INSTANTIATE_TEST_SUITE_P( FaceLandmarkerTest, LiveStreamModeTest, - Values(FaceLandmarkerTestParams{ - /* test_name= */ "Portrait", - /* input_model_name= */ kFaceLandmarkerModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandamrksName)})}, - FaceLandmarkerTestParams{ - /* test_name= */ "PortraitWithAttention", - /* input_model_name= */ - kFaceLandmarkerWithBlendshapesModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandmarksWithAttentionName)})}, - FaceLandmarkerTestParams{ - /* test_name= */ "PortraitWithBlendshapes", - /* input_model_name= */ - kFaceLandmarkerWithBlendshapesModelBundleName, - /* test_image_name= */ kPortraitImageName, - /* rotation= */ 0, - /* expected_result= */ - ConvertToFaceLandmarkerResult( - {GetExpectedProto( - kPortraitExpectedFaceLandmarksWithAttentionName)}, - {{GetExpectedProto( - kPortraitExpectedBlendshapesName)}})}), + Values( + FaceLandmarkerTestParams{/* test_name= */ "Portrait", + /* input_model_name= */ + kFaceLandmarkerWithBlendshapesModelBundleName, + /* test_image_name= */ kPortraitImageName, + /* rotation= */ 0, + /* expected_result= */ + ConvertToFaceLandmarkerResult( + {GetExpectedProto( + kPortraitExpectedFaceLandmarksName)})}, + FaceLandmarkerTestParams{/* test_name= */ "PortraitWithBlendshapes", + /* input_model_name= */ + kFaceLandmarkerWithBlendshapesModelBundleName, + /* test_image_name= */ kPortraitImageName, + /* rotation= */ 0, + /* expected_result= */ + ConvertToFaceLandmarkerResult( + {GetExpectedProto( + kPortraitExpectedFaceLandmarksName)}, + {{GetExpectedProto( + kPortraitExpectedBlendshapesName)}})}), [](const TestParamInfo& info) { return info.param.test_name; }); diff --git a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph.cc b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph.cc index df9cab5b5..7ce0fcaa2 100644 --- a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph.cc +++ b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph.cc @@ -82,8 +82,6 @@ constexpr char kBlendshapesTag[] = "BLENDSHAPES"; // a landmarks tensor and a scores tensor constexpr int kFaceLandmarksOutputTensorsNum = 2; -// 6 landmarks tensors and a scores tensor. -constexpr int kAttentionMeshOutputTensorsNum = 7; struct SingleFaceLandmarksOutputs { Stream landmarks; @@ -116,28 +114,18 @@ absl::Status SanityCheckOptions( // Split face landmark detection model output tensor into two parts, // representing landmarks and face presence scores. void ConfigureSplitTensorVectorCalculator( - bool is_attention_model, mediapipe::SplitVectorCalculatorOptions* options) { - if (is_attention_model) { - auto* range = options->add_ranges(); - range->set_begin(0); - range->set_end(kAttentionMeshOutputTensorsNum - 1); - range = options->add_ranges(); - range->set_begin(kAttentionMeshOutputTensorsNum - 1); - range->set_end(kAttentionMeshOutputTensorsNum); - } else { - auto* range = options->add_ranges(); - range->set_begin(0); - range->set_end(kFaceLandmarksOutputTensorsNum - 1); - range = options->add_ranges(); - range->set_begin(kFaceLandmarksOutputTensorsNum - 1); - range->set_end(kFaceLandmarksOutputTensorsNum); - } + mediapipe::SplitVectorCalculatorOptions* options) { + auto* range = options->add_ranges(); + range->set_begin(0); + range->set_end(kFaceLandmarksOutputTensorsNum - 1); + range = options->add_ranges(); + range->set_begin(kFaceLandmarksOutputTensorsNum - 1); + range->set_end(kFaceLandmarksOutputTensorsNum); } void ConfigureTensorsToFaceLandmarksGraph( - const ImageTensorSpecs& input_image_tensor_spec, bool is_attention_model, + const ImageTensorSpecs& input_image_tensor_spec, proto::TensorsToFaceLandmarksGraphOptions* options) { - options->set_is_attention_model(is_attention_model); options->set_input_image_height(input_image_tensor_spec.image_height); options->set_input_image_width(input_image_tensor_spec.image_width); } @@ -160,12 +148,6 @@ void ConfigureFaceRectTransformationCalculator( options->set_square_long(true); } -bool IsAttentionModel(const core::ModelResources& model_resources) { - const auto* model = model_resources.GetTfLiteModel(); - const auto* primary_subgraph = (*model->subgraphs())[0]; - return primary_subgraph->outputs()->size() == kAttentionMeshOutputTensorsNum; -} - } // namespace // A "mediapipe.tasks.vision.face_landmarker.SingleFaceLandmarksDetectorGraph" @@ -342,10 +324,8 @@ class SingleFaceLandmarksDetectorGraph : public core::ModelTaskGraph { auto output_tensors = inference.Out(kTensorsTag); // Split model output tensors to multiple streams. - bool is_attention_model = IsAttentionModel(model_resources); auto& split_tensors_vector = graph.AddNode("SplitTensorVectorCalculator"); ConfigureSplitTensorVectorCalculator( - is_attention_model, &split_tensors_vector .GetOptions()); output_tensors >> split_tensors_vector.In(""); @@ -359,7 +339,7 @@ class SingleFaceLandmarksDetectorGraph : public core::ModelTaskGraph { auto& tensors_to_face_landmarks = graph.AddNode( "mediapipe.tasks.vision.face_landmarker.TensorsToFaceLandmarksGraph"); ConfigureTensorsToFaceLandmarksGraph( - image_tensor_specs, is_attention_model, + image_tensor_specs, &tensors_to_face_landmarks .GetOptions()); landmark_tensors >> tensors_to_face_landmarks.In(kTensorsTag); diff --git a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph_test.cc b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph_test.cc index 72e92be9d..a415125d9 100644 --- a/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph_test.cc +++ b/mediapipe/tasks/cc/vision/face_landmarker/face_landmarks_detector_graph_test.cc @@ -65,18 +65,15 @@ using ::testing::proto::Approximately; using ::testing::proto::Partially; constexpr char kTestDataDirectory[] = "/mediapipe/tasks/testdata/vision/"; -constexpr char kFaceLandmarksDetectionModel[] = "face_landmark.tflite"; -constexpr char kFaceLandmarksDetectionWithAttentionModel[] = - "face_landmark_with_attention.tflite"; +constexpr char kFaceLandmarksV2Model[] = + "facemesh2_lite_iris_faceflag_2023_02_14.tflite"; constexpr char kPortraitImageName[] = "portrait.jpg"; constexpr char kCatImageName[] = "cat.jpg"; -constexpr char kPortraitExpectedFaceLandamrksName[] = +constexpr char kPortraitExpectedFaceLandmarksName[] = "portrait_expected_face_landmarks.pbtxt"; -constexpr char kPortraitExpectedFaceLandamrksWithAttentionName[] = - "portrait_expected_face_landmarks_with_attention.pbtxt"; constexpr char kFaceBlendshapesModel[] = "face_blendshapes.tflite"; constexpr char kPortraitExpectedBlendshapesName[] = - "portrait_expected_blendshapes_with_attention.pbtxt"; + "portrait_expected_blendshapes.pbtxt"; constexpr char kImageTag[] = "IMAGE"; constexpr char kImageName[] = "image"; @@ -363,35 +360,22 @@ TEST_P(MultiFaceLandmarksDetectionTest, Succeeds) { INSTANTIATE_TEST_SUITE_P( FaceLandmarksDetectionTest, SingleFaceLandmarksDetectionTest, Values(SingeFaceTestParams{ - /* test_name= */ "Portrait", - /* landmarks_model_name= */ kFaceLandmarksDetectionModel, - /* blendshape_model_name= */ std::nullopt, - /* test_image_name=*/kPortraitImageName, - /* norm_rect= */ MakeNormRect(0.4987, 0.2211, 0.2877, 0.2303, 0), - /* expected_presence= */ true, - /* expected_landmarks= */ - GetExpectedLandmarkList(kPortraitExpectedFaceLandamrksName), - /* expected_blendshapes= */ std::nullopt, - /* landmarks_diff_threshold= */ kFractionDiff, - /* blendshapes_diff_threshold= */ kBlendshapesDiffMargin}, - SingeFaceTestParams{ - /* test_name= */ "PortraitWithAttention", + /* test_name= */ "PortraitV2", /* landmarks_model_name= */ - kFaceLandmarksDetectionWithAttentionModel, + kFaceLandmarksV2Model, /* blendshape_model_name= */ std::nullopt, /* test_image_name= */ kPortraitImageName, /* norm_rect= */ MakeNormRect(0.4987, 0.2211, 0.2877, 0.2303, 0), /* expected_presence= */ true, /* expected_landmarks= */ - GetExpectedLandmarkList( - kPortraitExpectedFaceLandamrksWithAttentionName), + GetExpectedLandmarkList(kPortraitExpectedFaceLandmarksName), /* expected_blendshapes= */ std::nullopt, /* landmarks_diff_threshold= */ kFractionDiff, /* blendshapes_diff_threshold= */ kBlendshapesDiffMargin}, SingeFaceTestParams{ - /* test_name= */ "PortraitWithAttentionWithBlendshapes", + /* test_name= */ "PortraitV2WithBlendshapes", /* landmarks_model_name= */ - kFaceLandmarksDetectionWithAttentionModel, + kFaceLandmarksV2Model, /* blendshape_model_name= */ kFaceBlendshapesModel, /* test_image_name= */ kPortraitImageName, /* norm_rect= */ @@ -399,8 +383,7 @@ INSTANTIATE_TEST_SUITE_P( 0.008304443), /* expected_presence= */ true, /* expected_landmarks= */ - GetExpectedLandmarkList( - kPortraitExpectedFaceLandamrksWithAttentionName), + GetExpectedLandmarkList(kPortraitExpectedFaceLandmarksName), /* expected_blendshapes= */ GetBlendshapes(kPortraitExpectedBlendshapesName), /* landmarks_diff_threshold= */ kFractionDiff, @@ -414,35 +397,22 @@ INSTANTIATE_TEST_SUITE_P( FaceLandmarksDetectionTest, MultiFaceLandmarksDetectionTest, Values( MultiFaceTestParams{ - /* test_name= */ "Portrait", - /* landmarks_model_name= */ kFaceLandmarksDetectionModel, + /* test_name= */ "PortraitWithV2", + /* landmarks_model_name= */ + kFaceLandmarksV2Model, /* blendshape_model_name= */ std::nullopt, /* test_image_name= */ kPortraitImageName, /* norm_rects= */ {MakeNormRect(0.4987, 0.2211, 0.2877, 0.2303, 0)}, /* expected_presence= */ {true}, /* expected_landmarks_list= */ - {{GetExpectedLandmarkList(kPortraitExpectedFaceLandamrksName)}}, + {{GetExpectedLandmarkList(kPortraitExpectedFaceLandmarksName)}}, /* expected_blendshapes= */ std::nullopt, /* landmarks_diff_threshold= */ kFractionDiff, /* blendshapes_diff_threshold= */ kBlendshapesDiffMargin}, MultiFaceTestParams{ - /* test_name= */ "PortraitWithAttention", + /* test_name= */ "PortraitWithV2WithBlendshapes", /* landmarks_model_name= */ - kFaceLandmarksDetectionWithAttentionModel, - /* blendshape_model_name= */ std::nullopt, - /* test_image_name= */ kPortraitImageName, - /* norm_rects= */ {MakeNormRect(0.4987, 0.2211, 0.2877, 0.2303, 0)}, - /* expected_presence= */ {true}, - /* expected_landmarks_list= */ - {{GetExpectedLandmarkList( - kPortraitExpectedFaceLandamrksWithAttentionName)}}, - /* expected_blendshapes= */ std::nullopt, - /* landmarks_diff_threshold= */ kFractionDiff, - /* blendshapes_diff_threshold= */ kBlendshapesDiffMargin}, - MultiFaceTestParams{ - /* test_name= */ "PortraitWithAttentionWithBlendshapes", - /* landmarks_model_name= */ - kFaceLandmarksDetectionWithAttentionModel, + kFaceLandmarksV2Model, /* blendshape_model_name= */ kFaceBlendshapesModel, /* test_image_name= */ kPortraitImageName, /* norm_rects= */ @@ -450,8 +420,7 @@ INSTANTIATE_TEST_SUITE_P( 0.008304443)}, /* expected_presence= */ {true}, /* expected_landmarks_list= */ - {{GetExpectedLandmarkList( - kPortraitExpectedFaceLandamrksWithAttentionName)}}, + {{GetExpectedLandmarkList(kPortraitExpectedFaceLandmarksName)}}, /* expected_blendshapes= */ {{GetBlendshapes(kPortraitExpectedBlendshapesName)}}, /* landmarks_diff_threshold= */ kFractionDiff, @@ -459,7 +428,7 @@ INSTANTIATE_TEST_SUITE_P( MultiFaceTestParams{ /* test_name= */ "NoFace", /* landmarks_model_name= */ - kFaceLandmarksDetectionModel, + kFaceLandmarksV2Model, /* blendshape_model_name= */ std::nullopt, /* test_image_name= */ kCatImageName, /* norm_rects= */ {MakeNormRect(0.5, 0.5, 1.0, 1.0, 0)}, diff --git a/mediapipe/tasks/cc/vision/face_landmarker/proto/tensors_to_face_landmarks_graph_options.proto b/mediapipe/tasks/cc/vision/face_landmarker/proto/tensors_to_face_landmarks_graph_options.proto index 0ebecf002..22414b361 100644 --- a/mediapipe/tasks/cc/vision/face_landmarker/proto/tensors_to_face_landmarks_graph_options.proto +++ b/mediapipe/tasks/cc/vision/face_landmarker/proto/tensors_to_face_landmarks_graph_options.proto @@ -25,11 +25,7 @@ message TensorsToFaceLandmarksGraphOptions { optional TensorsToFaceLandmarksGraphOptions ext = 509621260; } - // Whether the landmarks model is with attention on lips and eyes. Attention - // provides more accuracy on lips and eye regions as well as iris landmarks. - optional bool is_attention_model = 1 [default = false]; + optional int32 input_image_width = 1; - optional int32 input_image_width = 2; - - optional int32 input_image_height = 3; + optional int32 input_image_height = 2; } diff --git a/mediapipe/tasks/cc/vision/face_landmarker/tensors_to_face_landmarks_graph.cc b/mediapipe/tasks/cc/vision/face_landmarker/tensors_to_face_landmarks_graph.cc index b93ee925e..4073c9e18 100644 --- a/mediapipe/tasks/cc/vision/face_landmarker/tensors_to_face_landmarks_graph.cc +++ b/mediapipe/tasks/cc/vision/face_landmarker/tensors_to_face_landmarks_graph.cc @@ -44,8 +44,8 @@ constexpr char kTensorsTag[] = "TENSORS"; constexpr char kNormLandmarksTag[] = "NORM_LANDMARKS"; constexpr char kLandmarksTag[] = "LANDMARKS"; constexpr char kRefinedLandmarksTag[] = "REFINED_LANDMARKS"; -constexpr int kAttentionModelSplitNum = 6; constexpr int kMeshLandmarksNum = 468; +constexpr int kMeshWithIrisLandmarksNum = 478; constexpr int kLipsLandmarksNum = 80; constexpr int kEyeLandmarksNum = 71; constexpr int kIrisLandmarksNum = 5; @@ -183,15 +183,6 @@ constexpr std::array kRightIrisAvgIndices = { // Upper contour (excluding corners). 466, 388, 387, 386, 385, 384, 398}; -void ConfigureSplitTensorVectorCalculator( - mediapipe::SplitVectorCalculatorOptions* options) { - for (int i = 0; i < kAttentionModelSplitNum; ++i) { - auto* range = options->add_ranges(); - range->set_begin(i); - range->set_end(i + 1); - } -} - Stream ConvertTensorsToLandmarks( int landmarks_num, int input_image_width, int input_image_height, Stream> tensors, Graph& graph) { @@ -207,79 +198,9 @@ Stream ConvertTensorsToLandmarks( .Cast(); } -Stream RefineFaceLandmarks( - Stream mesh_landmarks, - Stream lips_landmarks, - Stream left_eye_landmarks, - Stream right_eye_landmarks, - Stream left_iris_landmarks, - Stream right_iris_landmarks, Graph& graph) { - auto& refine_landmarks = graph.AddNode("LandmarksRefinementCalculator"); - auto& refinement_options = - refine_landmarks - .GetOptions(); - - // Face mesh landmarks. - auto* refinement_for_mesh = refinement_options.add_refinement(); - refinement_for_mesh->mutable_indexes_mapping()->Assign( - kMeshLandmarksIndicesMapping.begin(), kMeshLandmarksIndicesMapping.end()); - refinement_for_mesh->mutable_z_refinement()->mutable_copy(); - - // Lips landmarks. - auto* refinement_for_lips = refinement_options.add_refinement(); - refinement_for_lips->mutable_indexes_mapping()->Assign( - kLipsLandmarksIndicesMapping.begin(), kLipsLandmarksIndicesMapping.end()); - refinement_for_lips->mutable_z_refinement()->mutable_none(); - - // Left eye landmarks. - auto* refinement_for_left_eye = refinement_options.add_refinement(); - refinement_for_left_eye->mutable_indexes_mapping()->Assign( - kLeftEyeLandmarksIndicesMapping.begin(), - kLeftEyeLandmarksIndicesMapping.end()); - refinement_for_left_eye->mutable_z_refinement()->mutable_none(); - - // Right eye landmarks. - auto* refinement_for_right_eye = refinement_options.add_refinement(); - refinement_for_right_eye->mutable_indexes_mapping()->Assign( - kRightEyeLandmarksIndicesMapping.begin(), - kRightEyeLandmarksIndicesMapping.end()); - refinement_for_right_eye->mutable_z_refinement()->mutable_none(); - - // Left iris landmarks. - auto* refinement_for_left_iris = refinement_options.add_refinement(); - refinement_for_left_iris->mutable_indexes_mapping()->Assign( - kLeftIrisLandmarksIndicesMapping.begin(), - kLeftIrisLandmarksIndicesMapping.end()); - refinement_for_left_iris->mutable_z_refinement() - ->mutable_assign_average() - ->mutable_indexes_for_average() - ->Assign(kLeftIrisAvgIndices.begin(), kLeftIrisAvgIndices.end()); - - // Right iris landmarks. - auto* refinement_for_right_iris = refinement_options.add_refinement(); - refinement_for_right_iris->mutable_indexes_mapping()->Assign( - kRightIrisLandmarksIndicesMapping.begin(), - kRightIrisLandmarksIndicesMapping.end()); - refinement_for_right_iris->mutable_z_refinement() - ->mutable_assign_average() - ->mutable_indexes_for_average() - ->Assign(kRightIrisAvgIndices.begin(), kRightIrisAvgIndices.end()); - - mesh_landmarks >> refine_landmarks.In(kLandmarksTag)[0]; - lips_landmarks >> refine_landmarks.In(kLandmarksTag)[1]; - left_eye_landmarks >> refine_landmarks.In(kLandmarksTag)[2]; - right_eye_landmarks >> refine_landmarks.In(kLandmarksTag)[3]; - left_iris_landmarks >> refine_landmarks.In(kLandmarksTag)[4]; - right_iris_landmarks >> refine_landmarks.In(kLandmarksTag)[5]; - return refine_landmarks.Out(kRefinedLandmarksTag) - .Cast(); -} - } // namespace // Graph to transform face landmarks model output tensors into landmarks. -// The graph can support two types of model: regular and attention model with -// refined lips, eye and irises. // // Inputs: // TENSORS - std::vector @@ -324,41 +245,9 @@ class TensorsToFaceLandmarksGraph : public Subgraph { Stream> tensors, Graph& graph) { const int input_image_width = subgraph_options.input_image_width(); const int input_image_height = subgraph_options.input_image_height(); - if (subgraph_options.is_attention_model()) { - // Split tensors from attention model to 6 streams: mesh, lips, left_eye, - // right_eye, left_iris and right iris. - auto& split_tensors_vector = graph.AddNode("SplitTensorVectorCalculator"); - ConfigureSplitTensorVectorCalculator( - &split_tensors_vector - .GetOptions()); - tensors >> split_tensors_vector.In(""); - - auto mesh_landmarks = ConvertTensorsToLandmarks( - kMeshLandmarksNum, input_image_width, input_image_height, - split_tensors_vector.Out(0).Cast>(), graph); - auto lips_landmarks = ConvertTensorsToLandmarks( - kLipsLandmarksNum, input_image_width, input_image_height, - split_tensors_vector.Out(1).Cast>(), graph); - auto left_eye_landmarks = ConvertTensorsToLandmarks( - kEyeLandmarksNum, input_image_width, input_image_height, - split_tensors_vector.Out(2).Cast>(), graph); - auto right_eye_landmarks = ConvertTensorsToLandmarks( - kEyeLandmarksNum, input_image_width, input_image_height, - split_tensors_vector.Out(3).Cast>(), graph); - auto left_iris_landmarks = ConvertTensorsToLandmarks( - kIrisLandmarksNum, input_image_width, input_image_height, - split_tensors_vector.Out(4).Cast>(), graph); - auto right_iris_landmarks = ConvertTensorsToLandmarks( - kIrisLandmarksNum, input_image_width, input_image_height, - split_tensors_vector.Out(5).Cast>(), graph); - return RefineFaceLandmarks(mesh_landmarks, lips_landmarks, - left_eye_landmarks, right_eye_landmarks, - left_iris_landmarks, right_iris_landmarks, - graph); - } else { - return ConvertTensorsToLandmarks(kMeshLandmarksNum, input_image_width, - input_image_height, tensors, graph); - } + return ConvertTensorsToLandmarks(kMeshWithIrisLandmarksNum, + input_image_width, input_image_height, + tensors, graph); } }; diff --git a/mediapipe/tasks/javatests/com/google/mediapipe/tasks/vision/facelandmarker/FaceLandmarkerTest.java b/mediapipe/tasks/javatests/com/google/mediapipe/tasks/vision/facelandmarker/FaceLandmarkerTest.java index 4f8de86d8..0b21e863c 100644 --- a/mediapipe/tasks/javatests/com/google/mediapipe/tasks/vision/facelandmarker/FaceLandmarkerTest.java +++ b/mediapipe/tasks/javatests/com/google/mediapipe/tasks/vision/facelandmarker/FaceLandmarkerTest.java @@ -50,19 +50,16 @@ import org.junit.runners.Suite.SuiteClasses; @SuiteClasses({FaceLandmarkerTest.General.class, FaceLandmarkerTest.RunningModeTest.class}) public class FaceLandmarkerTest { private static final String FACE_LANDMARKER_BUNDLE_ASSET_FILE = - "face_landmarker_with_blendshapes.task"; + "face_landmarker_v2_with_blendshapes.task"; private static final String PORTRAIT_IMAGE = "portrait.jpg"; private static final String CAT_IMAGE = "cat.jpg"; - private static final String PORTRAIT_FACE_LANDMARKS = - "portrait_expected_face_landmarks_with_attention.pb"; - private static final String PORTRAIT_FACE_BLENDSHAPES = - "portrait_expected_blendshapes_with_attention.pb"; - private static final String PORTRAIT_FACE_GEOMETRY = - "portrait_expected_face_geometry_with_attention.pb"; + private static final String PORTRAIT_FACE_LANDMARKS = "portrait_expected_face_landmarks.pb"; + private static final String PORTRAIT_FACE_BLENDSHAPES = "portrait_expected_blendshapes.pb"; + private static final String PORTRAIT_FACE_GEOMETRY = "portrait_expected_face_geometry.pb"; private static final String TAG = "Face Landmarker Test"; private static final float FACE_LANDMARKS_ERROR_TOLERANCE = 0.01f; - private static final float FACE_BLENDSHAPES_ERROR_TOLERANCE = 0.1f; - private static final float FACIAL_TRANSFORMATION_MATRIX_ERROR_TOLERANCE = 0.01f; + private static final float FACE_BLENDSHAPES_ERROR_TOLERANCE = 0.13f; + private static final float FACIAL_TRANSFORMATION_MATRIX_ERROR_TOLERANCE = 0.02f; private static final int IMAGE_WIDTH = 820; private static final int IMAGE_HEIGHT = 1024; diff --git a/mediapipe/tasks/python/test/vision/face_landmarker_test.py b/mediapipe/tasks/python/test/vision/face_landmarker_test.py index 3c7026c3f..0cf16f3ea 100644 --- a/mediapipe/tasks/python/test/vision/face_landmarker_test.py +++ b/mediapipe/tasks/python/test/vision/face_landmarker_test.py @@ -46,16 +46,11 @@ _FaceLandmarkerOptions = face_landmarker.FaceLandmarkerOptions _RUNNING_MODE = running_mode_module.VisionTaskRunningMode _ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions -_FACE_LANDMARKER_BUNDLE_ASSET_FILE = 'face_landmarker.task' +_FACE_LANDMARKER_BUNDLE_ASSET_FILE = 'face_landmarker_v2.task' _PORTRAIT_IMAGE = 'portrait.jpg' _CAT_IMAGE = 'cat.jpg' _PORTRAIT_EXPECTED_FACE_LANDMARKS = 'portrait_expected_face_landmarks.pbtxt' -_PORTRAIT_EXPECTED_FACE_LANDMARKS_WITH_ATTENTION = ( - 'portrait_expected_face_landmarks_with_attention.pbtxt' -) -_PORTRAIT_EXPECTED_BLENDSHAPES = ( - 'portrait_expected_blendshapes_with_attention.pbtxt' -) +_PORTRAIT_EXPECTED_BLENDSHAPES = 'portrait_expected_blendshapes.pbtxt' _LANDMARKS_DIFF_MARGIN = 0.03 _BLENDSHAPES_DIFF_MARGIN = 0.13 _FACIAL_TRANSFORMATION_MATRIX_DIFF_MARGIN = 0.02 @@ -94,9 +89,9 @@ def _get_expected_face_blendshapes(file_path: str): def _get_expected_facial_transformation_matrixes(): matrix = np.array([ - [0.9995292, -0.005092691, 0.030254554, -0.37340546], - [0.0072318087, 0.99744856, -0.07102106, 22.212194], - [-0.029815676, 0.07120642, 0.9970159, -64.76358], + [0.9995292, -0.01294756, 0.038823195, -0.3691378], + [0.0072318087, 0.9937692, -0.1101321, 22.75809], + [-0.03715533, 0.11070588, 0.99315894, -65.765925], [0, 0, 0, 1], ]) facial_transformation_matrixes_results = [] diff --git a/mediapipe/tasks/testdata/vision/BUILD b/mediapipe/tasks/testdata/vision/BUILD index d89a60625..649d8d452 100644 --- a/mediapipe/tasks/testdata/vision/BUILD +++ b/mediapipe/tasks/testdata/vision/BUILD @@ -45,8 +45,8 @@ mediapipe_files(srcs = [ "face_detection_full_range_sparse.tflite", "face_detection_short_range.tflite", "face_landmark.tflite", - "face_landmark_with_attention.tflite", "face_landmarker.task", + "face_landmarker_v2.task", "fist.jpg", "fist.png", "hair_segmentation.tflite", @@ -104,7 +104,7 @@ exports_files( "face_geometry_expected_out.pbtxt", "gesture_recognizer.task", "portrait_expected_detection.pbtxt", - "portrait_expected_face_geometry_with_attention.pbtxt", + "portrait_expected_face_geometry.pbtxt", "portrait_rotated_expected_detection.pbtxt", ], ) @@ -170,9 +170,8 @@ filegroup( "face_detection_full_range.tflite", "face_detection_full_range_sparse.tflite", "face_detection_short_range.tflite", - "face_landmark.tflite", - "face_landmark_with_attention.tflite", "face_landmarker.task", + "face_landmarker_v2.task", "hair_segmentation.tflite", "hand_landmark_full.tflite", "hand_landmark_lite.tflite", @@ -214,9 +213,8 @@ filegroup( "pointing_up_landmarks.pbtxt", "pointing_up_rotated_landmarks.pbtxt", "portrait_expected_detection.pbtxt", - "portrait_expected_face_geometry_with_attention.pbtxt", + "portrait_expected_face_geometry.pbtxt", "portrait_expected_face_landmarks.pbtxt", - "portrait_expected_face_landmarks_with_attention.pbtxt", "portrait_rotated_expected_detection.pbtxt", "pose_expected_detection.pbtxt", "pose_expected_expanded_rect.pbtxt", diff --git a/mediapipe/tasks/testdata/vision/face_landmarker_v2.task b/mediapipe/tasks/testdata/vision/face_landmarker_v2.task new file mode 100644 index 0000000000000000000000000000000000000000..885f6e31df7c805b6c59cfda0fde0cfbc2c923d5 GIT binary patch literal 1402487 zcma%?1#}ci`>%%(f(MsHgD1o$qwO{w!`&@FfZ*=VvN$a6o&fQYo|*RP9!c;87Wc(j z!C`T3hu!b~zkANT=iEN$H`Vo4_uEftOV#Lf-8z;Jud6HDHcCtTL`#nv^jK0}SEe%S zsEiSrLq}##&m1v*($s|MqsC`V&upUEd!=+T>U6brQMx9&hT4%eb=7p0bm5vsr&)Bm zG)>(!eQsS|r*BhUw|H@RU3o2DPE$2amHs`xlD6MZQ@ExYnl!)Zy^@D^PVPn0WG_+| 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