3
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(¸]Ê ã @ s d dl ZG dd deZdS )é Nc @ s( e Zd ZdZdd Zdd Zdd ZdS ) Ú Detectionat
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This class represents a bounding box detection in a single image.
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Parameters
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----------
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tlwh : array_like
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Bounding box in format `(x, y, w, h)`.
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confidence : float
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Detector confidence score.
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feature : array_like
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A feature vector that describes the object contained in this image.
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Attributes
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----------
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tlwh : ndarray
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Bounding box in format `(top left x, top left y, width, height)`.
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confidence : ndarray
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Detector confidence score.
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feature : ndarray | NoneType
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A feature vector that describes the object contained in this image.
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c C s2 t j|t jd| _t|| _t j|t jd| _d S )N)Údtype)ÚnpÚasarrayÚfloatÚtlwhÚ
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confidenceÚfloat32Úfeature)Úselfr r r
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© r úJD:\project\07_tracking_Re-id\04_s_yolo_tracking\lib\deep_sort\detection.pyÚ__init__ s
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zDetection.__init__c C s* | j j }|dd
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7 < |S )zqConvert bounding box to format `(min x, min y, max x, max y)`, i.e.,
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`(top left, bottom right)`.
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é N)r Úcopy)r Úretr r r Úto_tlbr" s
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zDetection.to_tlbrc C sB | j j }|dd
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d 7 < |d |d < |S )zConvert bounding box to format `(center x, center y, aspect ratio,
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height)`, where the aspect ratio is `width / height`.
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Nr é )r r )r r r r r Úto_xyah* s
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zDetection.to_xyahN)Ú__name__Ú
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__module__Ú __qualname__Ú__doc__r r r r r r r r s r )Únumpyr Úobjectr r r r r Ú<module> s
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