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juzuo avatar juzuo commented on June 16, 2024 1

明白了。great work!!

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ZHKKKe avatar ZHKKKe commented on June 16, 2024

你好,感谢你的关注。

是的,正如我们在image matting demo里介绍的,我们的训练集只包含3000个前景,因此模型在复杂背景下依然会输出错误的人像语义信息 (准确的语义信息是需要大量数据来学习的)。
mobilenetv2_human_seg.ckpt 这个模型是MODNet中Low-Resolution分支使用的预训练模型,在我们发布训练代码的时候会用到。它来自这个Git仓库。 该模型在背景复杂的情况下也会出现人像语义信息预测的错误。

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zhanghongyong123456 avatar zhanghongyong123456 commented on June 16, 2024

请教几个问题,
1.假如我想训练其他物体而非人,我该如何设置低分辨率的预训练模型呢,是否需要将mobilenetv2_human_seg.ckpt替换成一般性的预训练模型,能否提供个地址
2.如果换成一般性的预训练模型,对分割影响有多大,会不会分割不出来,还是说只要数据量大就可以自动实现好的分割
期待您的回复。

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