Comments (4)
TachibanaYoshino
commented on June 15, 2024
This may be a problem with your data input pipeline.
from remote-sensing-image-semantic-segmentation.
wanghuanniupi
commented on June 15, 2024
This may be a problem with your data input pipeline.
打扰了，训练卡住是由于数据加载的时候迭代器解析图片格式错误，已经解决了。但是我想继续请教您一下，您的训练是在什么显卡上计算的呢，我使用3080ti 显存12G，发现GPU利用率很低，像是主要时间花在了数据搬运上。请问您有这方面的经验吗？此外，标签16通道（32 bit float）的时候，数据会扩展地很大，这一点有没有办法解决呢？
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TachibanaYoshino
commented on June 15, 2024
My graphics card was titan xp. You need to make the one-hot labels of all the data before training, so that the speed will be faster when the training has begun.
from remote-sensing-image-semantic-segmentation.
wanghuanniupi
commented on June 15, 2024
我明白了，知道问题出在哪里了，加载数据应该主要是独热码那一块耗时过大，但是如果提前做好独热码，需要耗费大量的储存空间，这个可能需要进一步地去考虑必要性以及训练、加载数据的方式。您的回答很有帮助，非常感谢您！
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Related Issues (12)
- img.resize for 4bands image? HOT 4
- 关于模型训练
- create_train_val_label.py 将label由rgb转为单个值很慢，借助numpy可快速转换
- 请问网络层为什么要使用多个尺寸的label呢？ HOT 1
- why ValImggenerator do not use data augmenting? HOT 1
- 数据集下载的验证码错误
- 请问你最好的成绩是多少呀？当时比赛算Kappa的时候包括背景类吗 HOT 1
- 请问可以用RGB三通道训练吗 HOT 2
- 对测试集数据的要求是什么，我用其他的图像测试出来都是一个蓝块，没有结果 HOT 6
- 数据集问题 HOT 2
- 模型改进点 HOT 3
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