[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-01 UTC."],[],[],null,["# mp.tasks.vision.FaceLandmarkerResult\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/mediapipe/blob/master/mediapipe/tasks/python/vision/face_landmarker.py#L2858-L2870) |\n\nThe face landmarks detection result from FaceLandmarker, where each vector element represents a single face detected in the image. \n\n mp.tasks.vision.FaceLandmarkerResult(\n face_landmarks: List[List[landmark_module.NormalizedLandmark]],\n face_blendshapes: List[List[category_module.Category]],\n facial_transformation_matrixes: List[np.ndarray]\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|----------------------------------|----------------------------------------------------------|\n| `face_landmarks` | Detected face landmarks in normalized image coordinates. |\n| `face_blendshapes` | Optional face blendshapes results. |\n| `facial_transformation_matrixes` | Optional facial transformation matrix. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `__eq__`\n\n __eq__(\n other\n )"]]