Invertible-Image-Rescaling
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Training Details
Hi, thank for your amazing work.
I want to reproduce your work using the config train_IRN_x2.yml
, but the training is slow and will cost 4 days using the default config. Do I need to notice any detail? BTW, does the default config in yml file is the correct one to reproduce the paper results?
Yes it will cost these time to train 500k iterations. The default config is the correct one.
Can you reproduce the DIV2k_val psnr? I train for 3 days and I think I cannot get the 44 psnr.
@wenbinTse @pkuxmq
Can you reproduce the DIV2k_val psnr? I train for 3 days and I think I cannot get the 44 psnr.
@wenbinTse @pkuxmq
Is that the tensorboard show the PSNR and the paper show the PSNR_Y? @pkuxmq
@ManWingloeng Yes, the training code only calculates RGB PSNR, and the testing code will calculate both RGB PSNR and Y PSNR. We report Y PSNR in the paper following the setting of other works. For IRN_x2, the final RGB PSNR should be around 40.8dB.
@ManWingloeng Yes, the training code only calculates RGB PSNR, and the testing code will calculate both RGB PSNR and Y PSNR. We report Y PSNR in the paper following the setting of other works. For IRN_x2, the final RGB PSNR should be around 40.8dB.
Thanks your reply.