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你好,我用RT-DETR训练COCO2017数据集,训练时eval的mAP一直是0,且loss在不断下降,pretrain_weights加载的是ResNet50_vd_ssld_v2_pretrained.pdparams,其他参数没做改动;除此之外,每次eval保存的bbox.json文件中,每张图片保存了300个检测框,但是每个检测框的类别、box位置和score都是一样的,请问我需要怎么解决呢?非常期待大佬能够回答一下我的问题,感激不尽~
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问题已解决,感谢大佬,笔芯~
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请问是怎么解决的呢?我这边用ppyoloe的模型+自己的数据集,训练时eval的bbox ap也一直是0
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你好,我用RT-DETR训练COCO2017数据集,训练时eval的mAP一直是0,且loss在不断下降,pretrain_weights加载的是ResNet50_vd_ssld_v2_pretrained.pdparams,其他参数没做改动;除此之外,每次eval保存的bbox.json文件中,每张图片保存了300个检测框,但是每个检测框的类别、box位置和score都是一样的,请问我需要怎么解决呢?非常期待大佬能够回答一下我的问题,感激不尽~
The text was updated successfully, but these errors were encountered: