cassiePython
The settings of training parameters for red excavator
Hello!First of all,congratulations on such an amazing paper and thank you very much for making the code public.I have a question regarding the training parameters settings for the red excavator.I set use_alpha,use_feature and use_view parameters. sample_scale=45. I loaded the model you gave with the trained model and trained to 250000 iterations with a single 2080Ti GPU.But the results are not ideal, could you please share the training parameters of red excavator. Thanks you for your attention.
I also allow more layers to be optimized , but use a larger patch size (sample_scale=60).
i came to this state with 210,000 iterations. what parameters to modify to achieve the ideal results of a red excavator shown in your examples?
Hihi! @0101zsj How many hours did u take for 250,000 iterations? And what parameters did u use?
Hello!First of all,congratulations on such an amazing paper and thank you very much for making the code public.I have a question regarding the training parameters settings for the red excavator.I set use_alpha,use_feature and use_view parameters. sample_scale=45. I loaded the model you gave with the trained model and trained to 250000 iterations with a single 2080Ti GPU.But the results are not ideal, could you please share the training parameters of red excavator. Thanks you for your attention.
Hi, how did you train to achieve this result? Why can I only get the following picture from my training results?
