RT-DETR训练进程过半后，所有evaluation环节结果为0

[hahapt]

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在模型训练至第49个epoch并进行evaluation时，一切结果正常如下：
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.750
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.920
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.805
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.066
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.666
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.896
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.340
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.785
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.827
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.190
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.785
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.931

在模型训练至第54个epoch后，所有evaluation结果为0：
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000

在第49至54个epoch训练过程中，并未出现异常报错

[wmjlincy]

你好，我从一开始训练的mAP都是0，但是loss在下降，请问你解决了吗，可不可以指导一下，非常感谢~

[hzhaoy]

同问，请问你们解决了吗 @hahapt @wmjlincy

[lyuwenyu]

你们使用的代码的commit id是多少， 这个是在coco上试验的原始的代码 https://github.com/lyuwenyu/RT-DETR 可以先试一下 @hahapt @wmjlincy @hzhaoy

[hzhaoy]

你们使用的代码的commit id是多少， 这个是在coco上试验的原始的代码 https://github.com/lyuwenyu/RT-DETR 可以先试一下 @hahapt @wmjlincy @hzhaoy

@lyuwenyu 好的谢谢！我这边是ppyoloe的问题，已经解决了，主要是因为有些图片名有中文导致无法读取，样本数比batch_szie，所以训练不成功