shiqi1994

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> Did you use the codes current ESRGAN repo? We have updated the network structures in this ESRGAN repo, but the BasicSR repo is still old. > > You may...

> Yes, it depends on your GPU type. But it is very slow. > It may take about 3~4 days or even longer. Thank you very much!

U can try this: from efficientnet_pytorch import EfficientNet model = EfficientNet.from_pretrained('efficientnet-b5') model._fc.out_features = 45 print(model)

May I ask how did you evaluate your custom dataset? Thank you very much!

I am also working on training on my LiDAR dataset. I think custom data is supposed to convert in kitti format at first.

I solved this. Wrong output since I did not set the argument 'residual' from 'false' to 'true'.

> @zBabar were you able to successfully run the model? I am getting a memory error while trying to train the model. Any idea how to solve that? How the...

> the result of my training is far from the one published in the paper I got the same results which indeed far away from the results in the paper....

> Could you please give me more details about how to train on a single GPU? I have already tried to change split_batch to 2,3... , but it still takes...