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chenbinghui1 avatar chenbinghui1 commented on September 2, 2024

@weyoung0 建议用batch=2 用别的话修改这个地方成1张图就行 就行

tmp = torch.zeros_like(data_batch['img'].data[0][1:,:,:,:])

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weyoung0 avatar weyoung0 commented on September 2, 2024

@chenbinghui1 感谢大佬的快速回复,请问batch为2有什么说法吗?因为我输入尺寸调的512,batch为2只占一丁点显存,浪费好多GPU,事实上我训的时候调成了72。。还有就是监督baseline训出来的指标和我自己的模型差好多,不知道哪里出了问题

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chenbinghui1 avatar chenbinghui1 commented on September 2, 2024

@chenbinghui1 因为当前代码只扩增了一张无标注数据,batch太多其他的unlabel数据都没有得到扩增,所以相当于没有怎么用这个Lscale。另外 监督模型那边 那就得对齐你的模型了,监督模型就是普通fcos的resnet50没有别的东西;可能是augmentation不同把。

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weyoung0 avatar weyoung0 commented on September 2, 2024

@chenbinghui1 好的,我再对齐下监督模型试试,非常感谢!

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