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real训练的时候对高光谱数据集裁剪为38438428的数据,而掩码也随机裁剪为384384,这样岂不是每次裁剪出来的掩码是不一样的,而我们用来测试的时候,mask是660660的,为什么不用660*660的mask加入训练?
The text was updated successfully, but these errors were encountered:
因为660×660输入时,计算量太大,如果你有A100,当然也可以用660×660
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如果按照384384的随机掩码模型进行训练,而测试时我们用的measurement实际上是经过660660的掩码并色散形成的,这样的训练模型是不是就说明measurement可以由任何其他的不一样但尺寸相同的掩码进行测试?
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real训练的时候对高光谱数据集裁剪为38438428的数据,而掩码也随机裁剪为384384,这样岂不是每次裁剪出来的掩码是不一样的,而我们用来测试的时候,mask是660660的,为什么不用660*660的mask加入训练?
The text was updated successfully, but these errors were encountered: