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这一层只是占Params,对FLOPs和速度影响不大

hi,请问您执行的是哪个命令呢?

麻烦版本也提供一下吧,目前没能复现这个问题。

可以在这里下载对应的版本的模型哈https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/zh_CN/algorithm_introduction/ImageNet_models.md#ResNet

您好,模型和精度都没有问题哈,不过FLOPs和Params在XXS和S上写反了,已修复,详情:https://github.com/PaddlePaddle/PaddleClas/pull/2107 ,感谢提醒。

您好,你说的是什么样的app呢?是说安卓端的还是?

Hi, you can try the vehicle_attribute_recognition model, the types of vehicles that can be recognized are "sedan", "suv", "van", "hatchback", "mpv", "pickup", "bus","truck", " estate", you can refer to [here](https://github.com/PaddlePaddle/PaddleClas/blob/develop/docs/en/PULC/PULC_vehicle_attribute_en.md)...