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Comments (6)

layumi avatar layumi commented on June 9, 2024

下载下来,解压。
然后指定一下路径 https://github.com/layumi/Person_reID_baseline_pytorch/blob/master/train.py#L170 就行

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qiaosuobutouche avatar qiaosuobutouche commented on June 9, 2024

下载下来,解压。 然后指定一下路径 https://github.com/layumi/Person_reID_baseline_pytorch/blob/master/train.py#L170 就行

作者您好,使用您的方法我成功的训练好了网络,请问在test环节,测试路径还使用原先的market1501数据集路径就可以把

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layumi avatar layumi commented on June 9, 2024

@qiaosuobutouche 是的

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qiaosuobutouche avatar qiaosuobutouche commented on June 9, 2024

@qiaosuobutouche 是的

感谢回复,作者请问为什么我使用dg-market未加任何trick和market1501训练结果dgmarket就比1501的map提升了0.01,rank1甚至还下降了一点啊,这是为什么呢,都是20轮迭代

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layumi avatar layumi commented on June 9, 2024

你好

是的。 dgmarket 扩大了数据量,模型相对于 ood的情况会提升,对于 id的情况 帮助不明显。

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qiaosuobutouche avatar qiaosuobutouche commented on June 9, 2024

也就是在域内提升不明显,在迁移到别的项目时效果会更好吧

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