Deepti Hegde comments

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                                            Deepti Hegde

Are masks required for successful restoration?

Edit: "restoration" not "super-resolution"

Are masks required for successful restoration?

@fengyayuan I did not face a similar issue, however did you ensure that you have a stable version of PyTorch installed? Were you able to run the other codes? Did...

Are masks required for successful restoration?

@AlexanderZhujiageng I haven't been successful in getting decent results with unknown masks. I read the paper again, but it is not clear to me if this aspect is inherent to...

Is it possible to generate from seed text?

Thanks for the reply! I actually trained it on my own dataset, so it should work. I'll let you know!

Segmentation fault (core dumped)

Did you solve this?

Detailed config for NUSCENES dataset

Hi @encore-zhou , were you able to get the config for NuScenes working?

Some question about self_training_utils.save_pseudo_label_epoch(model, target_loader, rank, prototype, leave_pbar=True, ps_label_dir=ps_label_dir, cur_epoch=cur_epoch)

The __pycache__ files are automatically generated and can be ignored. The self_training_utils.py will be updated in the codebase shortly.

Some question about self_training_utils.save_pseudo_label_epoch(model, target_loader, rank, prototype, leave_pbar=True, ps_label_dir=ps_label_dir, cur_epoch=cur_epoch)

Sent, please let me know if you have issues running it.

Some question about self_training_utils.save_pseudo_label_epoch(model, target_loader, rank, prototype, leave_pbar=True, ps_label_dir=ps_label_dir, cur_epoch=cur_epoch)

Apologies, it looks like there was a problem with attaching the zipped file. I will resend it, please let me know if there are other issues.

Creating annotation files in KITTI format.

Okay I will try the dataset loader, thanks. Please let me know when/if the new script becomes available.