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bubbliiiing avatar bubbliiiing commented on May 24, 2024

都会resize

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duduzai2019 avatar duduzai2019 commented on May 24, 2024

你好，上面的问题，如果在deeplab v3+，把train.py把input_shape = [512, 512]改成input_shape = [920, 720]，还会自动被reszie小吗

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bubbliiiing avatar bubbliiiing commented on May 24, 2024

会到[920, 720]

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duduzai2019 avatar duduzai2019 commented on May 24, 2024

up主你好，想问一下 model_path 和 pretrained 的设置问题

①设置model_path= "model_data/deeplab_mobilenetv2.pth"是主干部分使用mobilenet的预训练权重进行训练吗？那训练完主干之后，后面层还有预训练权重吗？
②如果不设置model_path，设置pretrained = True, 运行代码后会自动下载vgg分类网络的权重作为主干提取网络的预训练权重吗？
③如果不设置model_path，设置pretrained = Flase, 代码会从0开始训练整个网络吗？

谢谢！！！

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bubbliiiing avatar bubbliiiing commented on May 24, 2024

1、不是
2、为什么是vgg？
3、从0

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bubbliiiing avatar bubbliiiing commented on May 24, 2024

1、是整个

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hello-Painkiller avatar hello-Painkiller commented on May 24, 2024

您好，input_shape = [512, 512]的意思是代码resize到512吗？ 我现在有6000*3000的想要进行训练 这个512需要改大吗？还有训练出来的logs文件有一大串 最终有用的pth文件是best开头的 还是其他的文件啊

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bubbliiiing avatar bubbliiiing commented on May 24, 2024

改大了现存估计遭不住啊

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