Comments (1)
- 参见main.py 68行,"pgman"会在低分辨率下训练,"pgman-2"会在全分辨率下训练
- 看原始图像的大小和划分块的大小,一般每张图随机取4000~5000个patch
- 如果是对抗损失负值很正常,WGAN-GP的loss本来就可以是负的
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Related Issues (15)
- dataset! HOT 4
- 请教eval.py HOT 2
- 请教run.py HOT 2
- eval.py HOT 2
- eval_one.py 请教 HOT 6
- about code HOT 1
- gdal库 HOT 1
- 学习代码 HOT 1
- About dataset HOT 1
- 数据集 HOT 4
- 结果
- 运行
- test.py
- Model weights
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