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TaroPlay avatar TaroPlay commented on July 24, 2024 1

好的,那我试试换成coco格式把,如果没有验证这一步骤,我无法保证保存的权重是best.pdparams,只能是modelfinal.pdparams。担心最佳结果在72次之前就已经达到了,但是没有捕捉下来。

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lyuwenyu avatar lyuwenyu commented on July 24, 2024

你用的是这个项目还是paddledet那个?

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TaroPlay avatar TaroPlay commented on July 24, 2024

你用的是这个项目还是paddledet那个?

用的是当前仓库下的项目,pddet里面的核心代码,是用的是rt-detr paddle版本呢。就是想知道如何获取验证集结果而且不会报错,如果是源代码会发生报错:trainer object has no attribute '_eval_loader'

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lyuwenyu avatar lyuwenyu commented on July 24, 2024

我没跑过voc的数据,做实验的时候为了方便这里面一些没用到的逻辑已经删掉了

  1. 你可以试一下paddledet里的rtdetr 和这个基本是同步的 参数加载已经训练好的就行 直接去eval
  2. 把voc的数据格式转成coco的格式

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todesti2 avatar todesti2 commented on July 24, 2024

好的,那我试试换成coco格式把,如果没有验证这一步骤,我无法保证保存的权重是best.pdparams,只能是modelfinal.pdparams。担心最佳结果在72次之前就已经达到了,但是没有捕捉下来。

你好,请问你是如何给数据集转换成COCO格式的呢,我在网上找了很多种方法都转化不成功,但是用VOC格式又会报错

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