Comments (4)
MaybeShewill-CV
commented on August 11, 2024
@Jamofl 我还没有在别的数据集上测试过。可以先尝试减小学习率试试。不过看这个ssim和psnr应该还算不低了：）可以贴下效果图看下
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Jamofl
commented on August 11, 2024
好的，非常感谢。还有个小问题想请教下：原论文中的这种gan应该是属于监督学习范畴吧？ 因为包含有雨图像和无雨图像对，是属于有标签的。
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MaybeShewill-CV
commented on August 11, 2024
@Jamofl 嗯
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alan0324
commented on August 11, 2024
@Jamofl 您好，我在訓練時在loss那一部分遇到了一點問題，想請教您是否有遇過lm_loss和mse_loss張量不合的問題呢 謝謝!
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Related Issues (20)
- test_model.py中的label_path HOT 8
- 归一化层 HOT 2
- tf_io_pipline_tools模块引用错误
- 训练自己图片集有问题
- batch size HOT 2
- vgg16.npy HOT 1
- the bug HOT 3
- How to run this project at google colab ? HOT 1
- Colab Test HOT 2
- question about dataset
- Performance issues in /data_provider (by P3) HOT 1
- no file named "./data/vgg16.npy" HOT 4
- Question HOT 7
- no pretrained model "vgg16.npy"
- 關於訓練數據的問題(About train dataset size problem) HOT 1
- 测试的问题 HOT 1
- complexity
- 关于train_model.py文件无法正常运行 HOT 1
- loss function problem HOT 6
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