yolo metrics smooth
时间: 2023-11-19 14:06:11 浏览: 33
"YOLO metrics smooth" likely refers to a technique used to smooth out the output of object detection models based on the YOLO (You Only Look Once) architecture. YOLO is a popular object detection algorithm that divides an input image into a grid and predicts bounding boxes and class probabilities for each cell in the grid. However, the output can sometimes be jittery or noisy, especially when objects are small or occluded.
To address this, various smoothing techniques have been proposed, such as applying a moving average or a Gaussian filter to the predicted bounding box coordinates or class probabilities over time or across neighboring cells. These techniques can help reduce the impact of random fluctuations and improve the stability and accuracy of the object detection results.
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