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Thanks for your great work. I encounter trouble om reproducing results, I followed the preprocess_PeopleSnapshot.py get the peoplesnapshot data, and the training command, and cannot find the problem, so could you give some advice about what could be the cause?
I trained the male-4-casual eval_30000 results like this,
{"psnr": 30.53088405397203, "ssim": 0.9789141797357135, "lpips": 0.04090929890258445, "n_gauss": 104333}
And you provided checkpoint have results like this:
{"psnr": 30.9997394879659, "ssim": 0.9815233714050717, "lpips": 0.029089721178428993}
And also the animation has more obvious visialization difference, for example,
this is mine trained model results,
and this is you provided checkpoint results,
The text was updated successfully, but these errors were encountered:
@Wang-Wenqing
Hello, I encountered a problem similar to yours, but my metrics are much worse. I haven’t made any changes to the code, so I was wondering if you have made any adjustments? If it’s convenient, could you please offer some guidance? Thank you very much!
{"psnr": 25.030534532335068, "ssim": 0.9597002648644977, "lpips": 0.06380893590135707, "n_gauss": 282032}
Thanks for your great work. I encounter trouble om reproducing results, I followed the preprocess_PeopleSnapshot.py get the peoplesnapshot data, and the training command, and cannot find the problem, so could you give some advice about what could be the cause?
I trained the male-4-casual eval_30000 results like this,
{"psnr": 30.53088405397203, "ssim": 0.9789141797357135, "lpips": 0.04090929890258445, "n_gauss": 104333}
And you provided checkpoint have results like this:
{"psnr": 30.9997394879659, "ssim": 0.9815233714050717, "lpips": 0.029089721178428993}
And also the animation has more obvious visialization difference, for example,
this is mine trained model results,
and this is you provided checkpoint results,
The text was updated successfully, but these errors were encountered: