Average NMS time和Average inference time具体含义
时间: 2023-07-10 16:05:22 浏览: 81
Average NMS time是指在目标检测任务中,使用非极大值抑制(NMS)算法处理检测到的目标框(bounding box)的平均时间。NMS算法的作用是去除高度重叠的目标框,使得每个目标只有一个对应的框。
Average inference time是指在深度学习模型推理(inference)时,对于一组输入数据,模型输出结果的平均时间。这个时间通常包括了数据预处理、模型计算、以及后处理的时间。在实际应用中,inference time往往是一个非常重要的指标,因为它决定了模型在实时场景中的可用性。
相关问题
yolov5模型的Average forward time 和Average NMS time和Average inference time去哪里找这些数据
这些数据可以在运行Yolov5模型时的控制台输出中找到。在控制台输出中,会显示每个batch的forward time、NMS time以及inference time,最后会给出平均值。以下是一个示例:
```
Class Images Targets P R mAP@.5 mAP@.5:.95: 100%|██████████| 1/1 [00:00<00:00, 1.84it/s]
all 4 20 0.838 0.900 0.874 0.668
forward: 133.96ms | NMS: 0.00ms | inference: 133.96ms | total: 133.96ms
forward: 133.91ms | NMS: 0.00ms | inference: 133.91ms | total: 133.91ms
forward: 133.93ms | NMS: 0.00ms | inference: 133.93ms | total: 133.93ms
forward: 133.98ms | NMS: 0.00ms | inference: 133.98ms | total: 133.98ms
Speed: 12.4/1.0/13.4 ms inference/NMS/total per image at shape (1, 3, 640, 640)
```
在上面的示例中,可以看到平均forward time为133.95ms,平均NMS time为0.00ms,平均inference time为133.95ms。
WARNING: NMS time limit 0.030s exceeded
This means that the code or program being executed took longer than the allowed time limit of 0.030s to complete. This can be caused by inefficient or poorly optimized code, or by trying to process a large amount of data in a short amount of time. To fix this issue, the code or program may need to be optimized or restructured to improve its efficiency and reduce the processing time. Alternatively, a more powerful hardware or infrastructure can be used to handle the workload.