Removed classification proto to use the existing category dataclass instead and removed NormalizedLandmarkList and LandmarkList dataclasses
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@@ -14,19 +14,25 @@
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"""Landmarks Detection Result data class."""
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import dataclasses
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from typing import Any, Optional
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from typing import Any, Optional, List
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from mediapipe.tasks.cc.components.containers.proto import landmarks_detection_result_pb2
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from mediapipe.framework.formats import classification_pb2
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from mediapipe.framework.formats import landmark_pb2
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from mediapipe.tasks.python.components.containers import rect as rect_module
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from mediapipe.tasks.python.components.containers import classification as classification_module
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from mediapipe.tasks.python.components.containers import category as category_module
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from mediapipe.tasks.python.components.containers import landmark as landmark_module
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from mediapipe.tasks.python.core.optional_dependencies import doc_controls
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_LandmarksDetectionResultProto = landmarks_detection_result_pb2.LandmarksDetectionResult
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_ClassificationProto = classification_pb2.Classification
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_ClassificationListProto = classification_pb2.ClassificationList
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_LandmarkListProto = landmark_pb2.LandmarkList
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_NormalizedLandmarkListProto = landmark_pb2.NormalizedLandmarkList
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_NormalizedRect = rect_module.NormalizedRect
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_ClassificationList = classification_module.ClassificationList
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_NormalizedLandmarkList = landmark_module.NormalizedLandmarkList
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_LandmarkList = landmark_module.LandmarkList
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_Category = category_module.Category
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_NormalizedLandmark = landmark_module.NormalizedLandmark
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_Landmark = landmark_module.Landmark
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@dataclasses.dataclass
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@@ -34,25 +40,32 @@ class LandmarksDetectionResult:
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"""Represents the landmarks detection result.
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Attributes:
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landmarks : A `NormalizedLandmarkList` object.
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classifications : A `ClassificationList` object.
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world_landmarks : A `LandmarkList` object.
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landmarks : A list of `NormalizedLandmark` objects.
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categories : A list of `Category` objects.
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world_landmarks : A list of `Landmark` objects.
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rect : A `NormalizedRect` object.
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"""
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landmarks: Optional[_NormalizedLandmarkList]
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classifications: Optional[_ClassificationList]
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world_landmarks: Optional[_LandmarkList]
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landmarks: Optional[List[_NormalizedLandmark]]
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categories: Optional[List[_Category]]
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world_landmarks: Optional[List[_Landmark]]
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rect: _NormalizedRect
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@doc_controls.do_not_generate_docs
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def to_pb2(self) -> _LandmarksDetectionResultProto:
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"""Generates a LandmarksDetectionResult protobuf object."""
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return _LandmarksDetectionResultProto(
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landmarks=self.landmarks.to_pb2(),
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classifications=self.classifications.to_pb2(),
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world_landmarks=self.world_landmarks.to_pb2(),
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rect=self.rect.to_pb2())
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landmarks=_NormalizedLandmarkListProto(landmarks=self.landmarks),
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classifications=_ClassificationListProto(
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classification=[
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_ClassificationProto(
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index=category.index,
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score=category.score,
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label=category.category_name,
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display_name=category.display_name)
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for category in self.categories]),
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world_landmarks=_LandmarkListProto(landmarks=self.world_landmarks),
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rect=self.rect.to_pb2())
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@classmethod
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@doc_controls.do_not_generate_docs
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@@ -63,11 +76,19 @@ class LandmarksDetectionResult:
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"""Creates a `LandmarksDetectionResult` object from the given protobuf
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object."""
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return LandmarksDetectionResult(
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landmarks=_NormalizedLandmarkList.create_from_pb2(pb2_obj.landmarks),
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classifications=_ClassificationList.create_from_pb2(
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pb2_obj.classifications),
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world_landmarks=_LandmarkList.create_from_pb2(pb2_obj.world_landmarks),
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rect=_NormalizedRect.create_from_pb2(pb2_obj.rect))
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landmarks=[
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_NormalizedLandmark.create_from_pb2(landmark)
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for landmark in pb2_obj.landmarks.landmark],
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categories=[category_module.Category(
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score=classification.score,
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index=classification.index,
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category_name=classification.label,
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display_name=classification.display_name)
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for classification in pb2_obj.classifications.classification],
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world_landmarks=[
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_Landmark.create_from_pb2(landmark)
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for landmark in pb2_obj.world_landmarks.landmark],
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rect=_NormalizedRect.create_from_pb2(pb2_obj.rect))
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def __eq__(self, other: Any) -> bool:
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"""Checks if this object is equal to the given object.
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