Comments (3)
During the training phase, the best results often do not appear when an epoch ends. Sometimes, the results produced during the epoch show a better visual effect. From my point, more attention should be paid to the results produced in the middle rather than those obtained when an epoch ends.
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Oh... thank you very much
from ddcgan.
Now I need a comparative experiment of your method. At the code of the same-resolution vis-ir image fusion, is the model you provided the best training model? If not, could you please provide it?
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Related Issues (20)
- hi,I have some questions about the data set, can you help me? HOT 3
- Question about dataset HOT 6
- there is an error when I run your model HOT 6
- 对于数据集的问题 HOT 1
- Can I get a dataset in another way?
- About the metrics
- Try with .nii images
- about The MRI/PET
- What to do if you want to change a data set
- Training data encountered a problem
- 我在训练多分辨率融合时遇到一个问题 HOT 9
- about multi-ressolution testing
- Does it can be used for the fusion of RGB image and infrared image? HOT 1
- What are the dependencies used?
- session问题
- 训练模型是出现一个问题 HOT 4
- 自己训练为什么会出现G_loss: nan, D1_loss: nan, D2_loss: nan HOT 3
- GPU使用
- Is there a code for test.py HOT 1
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from ddcgan.