New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Bad IS and SSIM score #51
Comments
Hi, it is really strange to obtain such an unsatisfying result. I could not tell where is wrong at the moment since too few information is provided. Do you make any modifications to the original code? Does the training process converge well? |
Hi, thanks for replying : ) My training and testing environment(conda): By the way, I also use pytorch1.3 to run codes pytorch_v1.0 and get almost the same bad results... |
Hi, I strictly followed their instruction and environment, use their provided pre-trained model, but I only got IS=3.159, mask-IS=3.735, SSIM=0.2815, mask-SSIM=0.799 on Market-1501 dataset, which is worse than those in original paper. I saw you reproduced their performance, so what do you think is the cause of this gap? @dawn7564 @tengteng95 |
Hi, i have got the almost right results now by redownloading the dataset, files, and building new conda environment. Frankly, i dont know why the results come right after that. Maybe you can try my way. I use pytorch v1.0.1, python3.6 for training and testing, if it helps. |
Really really thanks for your awesome works.
However, using your code and hyper-parameter, I got bad evaluation results after training by myself:
SSIM=0.268 IS=3.652 mask-SSIM=0.792 mask-IS=3.733
Meanwhile, using your provided pre-trained model, I got almost right results:
SSIM=0.311 IS=3.329 mask-SSIM=0.811 mask-IS=3.778
My training environment is pytorch0.3.1, I don't know why the results are different.
Thanks again~
The text was updated successfully, but these errors were encountered: