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- # Copyright (c) Alibaba, Inc. and its affiliates.
- from dataclasses import dataclass
- from typing import Optional, Tuple, Union
- import numpy as np
- from modelscope.outputs.outputs import ModelOutputBase
- Tensor = Union['torch.Tensor', 'tf.Tensor']
- @dataclass
- class DetectionOutput(ModelOutputBase):
- """The output class for object detection models.
- Args:
- class_ids (`Tensor`, *optional*): class id for each object.
- boxes (`Tensor`, *optional*): Bounding box for each detected object in [left, top, right, bottom] format.
- scores (`Tensor`, *optional*): Detection score for each object.
- keypoints (`Tensor`, *optional*): Keypoints for each object using four corner points in a 8-dim tensor
- in the order of (x, y) for each corner point.
- """
- class_ids: Tensor = None
- scores: Tensor = None
- boxes: Tensor = None
- keypoints: Tensor = None
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