高数辅导第四版: 请问论文里的AP指的是测试结果里IOU等于多少的AP [code=python] Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.198 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.401 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.175 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.233 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.346 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.173 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.286 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.300 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.183 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.341 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] [/code]
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