Inheritance diagram for deep_sort.detection.Detection:
Public Member Functions | |
| def | __init__ |
| def | to_tlbr |
| def | to_xyah |
Public Attributes | |
| confidence | |
| feature | |
| tlwh | |
Detailed Description
This class represents a bounding box detection in a single image.
Parameters
----------
tlwh : array_like
Bounding box in format `(x, y, w, h)`.
confidence : float
Detector confidence score.
feature : array_like
A feature vector that describes the object contained in this image.
Attributes
----------
tlwh : ndarray
Bounding box in format `(top left x, top left y, width, height)`.
confidence : ndarray
Detector confidence score.
feature : ndarray | NoneType
A feature vector that describes the object contained in this image.
Definition at line 5 of file detection.py.
Constructor & Destructor Documentation
| def deep_sort.detection.Detection.__init__ | ( | self, | |
| tlwh, | |||
| confidence, | |||
| feature | |||
| ) |
Definition at line 29 of file detection.py.
Member Function Documentation
| def deep_sort.detection.Detection.to_tlbr | ( | self | ) |
Convert bounding box to format `(min x, min y, max x, max y)`, i.e., `(top left, bottom right)`.
Definition at line 34 of file detection.py.
| def deep_sort.detection.Detection.to_xyah | ( | self | ) |
Convert bounding box to format `(center x, center y, aspect ratio, height)`, where the aspect ratio is `width / height`.
Definition at line 42 of file detection.py.
Member Data Documentation
Definition at line 29 of file detection.py.
Definition at line 29 of file detection.py.
Definition at line 29 of file detection.py.
The documentation for this class was generated from the following file: