Open szh404 opened 7 months ago
Hi! May I ask what system you are running the code on? I tried running it on Windows but ran into difficulties.
Hi! May I ask what system you are running the code on? I tried running it on Windows but ran into difficulties.
Ubuntu20.04, Pytorch1.11, Cuda11.3
Thank you!
Hi! May I ask what system you are running the code on? I tried running it on Windows but ran into difficulties.
Ubuntu20.04, Pytorch1.11, Cuda11.3
Thank you!
My training dataset has 32520pairs, and I have trained the model for 32950(model032950.pt.) My results are very bad. I think it’s because we don’t train it enough.
My training dataset has 32520pairs, and I have trained the model for 32950(model032950.pt.) My results are very bad. I think it’s because we don’t train it enough.
Sorry for my late reply. I was busy with other things a few days ago and didn't reply promptly. How is the reproduction effect now? Is it the same as before? Regarding my SAR2OPT dataset, I trained for 100,000 iterations, and the performance of the model saved at 070000.pt was the best. However, it still didn't achieve the expected performance.
Best wishes!
Brother, I would like to ask if you have succeeded in running and how it has worked
Brother, I would like to ask if you have succeeded in running and how it has worked
Indeed, I has succeeded running the program, but the results wasn't satisfied and I don't know how to train (set hyper parameters) to get a good result. I'll carry on doing this.
My code doesn't work, can we add contact information, I want to ask you some questions, are you Chinese? My QQ is 3032904759
@szh404 can you suggest how to get best output. Now are you satisfied with results. Plz guide.
Hey, @Coordi777
Regarding the test results, I have some doubts and hope you can provide some valuable suggestions.
I am using the SAR2Opt dataset, which consists of 1450 pairs of training samples.
I trained using the default parameters in the code you provided(Thank you).
However, when I sample, I find that the quality of the generated images is not good. Additionally, the values of SSIM and FID metrics are also poor.
model050000.pt
model070000.pt test_0.png
test_7.png
Is it because my training data amount is too small, leading to this phenomenon, or are there other settings reasons? I hope you can provide some advice.