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Expand Model method type hinting (#8279)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-02-19 14:24:30 +01:00 • committed by GitHub
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6 changed files with 104 additions and 50 deletions
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ultralytics/utils/metrics.py
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@ -22,13 +22,13 @@ def bbox_ioa(box1, box2, iou=False, eps=1e-7):
Calculate the intersection over box2 area given box1 and box2. Boxes are in x1y1x2y2 format.
Args:
box1 (np.array): A numpy array of shape (n, 4) representing n bounding boxes.
box2 (np.array): A numpy array of shape (m, 4) representing m bounding boxes.
box1 (np.ndarray): A numpy array of shape (n, 4) representing n bounding boxes.
box2 (np.ndarray): A numpy array of shape (m, 4) representing m bounding boxes.
iou (bool): Calculate the standard iou if True else return inter_area/box2_area.
eps (float, optional): A small value to avoid division by zero. Defaults to 1e-7.
Returns:
(np.array): A numpy array of shape (n, m) representing the intersection over box2 area.
(np.ndarray): A numpy array of shape (n, m) representing the intersection over box2 area.
"""
# Get the coordinates of bounding boxes
@ -295,7 +295,7 @@ class ConfusionMatrix:
Attributes:
task (str): The type of task, either 'detect' or 'classify'.
matrix (np.array): The confusion matrix, with dimensions depending on the task.
matrix (np.ndarray): The confusion matrix, with dimensions depending on the task.
nc (int): The number of classes.
conf (float): The confidence threshold for detections.
iou_thres (float): The Intersection over Union threshold.