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关于RCF算法中数据增加的问题 #133

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Ying-sky999 opened this issue May 20, 2021 · 4 comments
Open

关于RCF算法中数据增加的问题 #133

Ying-sky999 opened this issue May 20, 2021 · 4 comments

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@Ying-sky999
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Ying-sky999 commented May 20, 2021

作者您好,请问在RCF数据增强中,val文件表示什么意思
train_lst = os.listdir(osp.join(input_dir, 'image', 'train'))
val_lst = os.listdir(osp.join(input_dir, 'image', 'val'))
test_lst = os.listdir(osp.join(input_dir, 'image', 'test'))
还有就是论文中提到的 0.5 1.0 1.5这三种比例的图像处理是如何实现的
希望您不吝赐教,如果可以的话您能否提供相关代码
https://github.com/yun-liu/RCF/issues/124

@yun-liu
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yun-liu commented May 21, 2021

val 表示验证集。三种尺度的图像,用resize实现。数据增强的代码已经在你贴的issue里给了:#124

@RuosiZhou
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Is there any BSDS data extension code? If you can share, I would be very grateful.

@yun-liu
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yun-liu commented Oct 6, 2021

@RuosiZhou I downloaded the BSDS500 training data from the well-known work HED. You can either use the public BSDS500 data or write the augmentation code following the issue #124.

@RuosiZhou
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Ok, it has been solved, thank you

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