Updated API and tests
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@ -207,20 +207,20 @@ class HandLandmarkerTest(parameterized.TestCase):
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_PORTRAIT_EXPECTED_FACE_LANDMARKS_WITH_ATTENTION),
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_PORTRAIT_EXPECTED_FACE_LANDMARKS_WITH_ATTENTION),
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_get_expected_face_blendshapes(
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_get_expected_face_blendshapes(
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_PORTRAIT_EXPECTED_BLENDSHAPES), None),
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_PORTRAIT_EXPECTED_BLENDSHAPES), None),
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# (ModelFileType.FILE_NAME,
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(ModelFileType.FILE_NAME,
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# _FACE_LANDMARKER_WITH_BLENDSHAPES_BUNDLE_ASSET_FILE,
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_FACE_LANDMARKER_WITH_BLENDSHAPES_BUNDLE_ASSET_FILE,
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# _get_expected_face_landmarks(
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_get_expected_face_landmarks(
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# _PORTRAIT_EXPECTED_FACE_LANDMARKS_WITH_ATTENTION),
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_PORTRAIT_EXPECTED_FACE_LANDMARKS_WITH_ATTENTION),
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# _get_expected_face_blendshapes(
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_get_expected_face_blendshapes(
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# _PORTRAIT_EXPECTED_BLENDSHAPES),
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_PORTRAIT_EXPECTED_BLENDSHAPES),
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# _make_expected_facial_transformation_matrixes()),
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_make_expected_facial_transformation_matrixes()),
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# (ModelFileType.FILE_CONTENT,
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(ModelFileType.FILE_CONTENT,
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# _FACE_LANDMARKER_WITH_BLENDSHAPES_BUNDLE_ASSET_FILE,
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_FACE_LANDMARKER_WITH_BLENDSHAPES_BUNDLE_ASSET_FILE,
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# _get_expected_face_landmarks(
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_get_expected_face_landmarks(
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# _PORTRAIT_EXPECTED_FACE_LANDMARKS_WITH_ATTENTION),
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_PORTRAIT_EXPECTED_FACE_LANDMARKS_WITH_ATTENTION),
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# _get_expected_face_blendshapes(
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_get_expected_face_blendshapes(
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# _PORTRAIT_EXPECTED_BLENDSHAPES),
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_PORTRAIT_EXPECTED_BLENDSHAPES),
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# _make_expected_facial_transformation_matrixes())
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_make_expected_facial_transformation_matrixes())
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)
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)
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def test_detect(self, model_file_type, model_name, expected_face_landmarks,
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def test_detect(self, model_file_type, model_name, expected_face_landmarks,
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expected_face_blendshapes, expected_facial_transformation_matrix):
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expected_face_blendshapes, expected_facial_transformation_matrix):
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@ -162,7 +162,6 @@ def _build_landmarker_result(
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facial_transformation_matrixes_results = []
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facial_transformation_matrixes_results = []
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if _FACE_GEOMETRY_STREAM_NAME in output_packets:
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if _FACE_GEOMETRY_STREAM_NAME in output_packets:
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print(output_packets[_FACE_GEOMETRY_STREAM_NAME])
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facial_transformation_matrixes_proto_list = packet_getter.get_proto_list(
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facial_transformation_matrixes_proto_list = packet_getter.get_proto_list(
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output_packets[_FACE_GEOMETRY_STREAM_NAME])
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output_packets[_FACE_GEOMETRY_STREAM_NAME])
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for proto in facial_transformation_matrixes_proto_list:
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for proto in facial_transformation_matrixes_proto_list:
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