bubbliiiing / yolov8-pytorch

这是一个yolov8-pytorch的仓库,可以用于训练自己的数据集。
GNU General Public License v3.0
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get_map计算map@0.5-0.95时输出的结果该怎么计算? #62

Open guiguiguiguigui opened 4 months ago

guiguiguiguigui commented 4 months ago

请问大佬,输出的结果是这样的,该用那个指标计算MAP0.5-0.95呢?

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.438 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.666 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.452 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.084 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.294 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.494 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.072 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.397 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.182 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.360 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.529