cmusatyalab / mega-nerf

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Evaluation Error

gjgjgjfff opened this issue · comments

Traceback (most recent call last):
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/eval.py", line 30, in
main(_get_eval_opts())
File "/share/home/drliuqi/anaconda3/envs/mega-nerf/lib/python3.9/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 345, in wrapper
return f(*args, **kwargs)
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/eval.py", line 26, in main
Runner(hparams).eval()
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/runner.py", line 323, in eval
val_metrics = self._run_validation(0)
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/runner.py", line 427, in _run_validation
results, _ = self.render_image(metadata_item)
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/runner.py", line 587, in render_image
result_batch, _ = render_rays(nerf=nerf, bg_nerf=bg_nerf,
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/rendering.py", line 88, in render_rays
results = _get_results(nerf=nerf,
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/rendering.py", line 195, in _get_results
_inference(results=results,
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/rendering.py", line 324, in _inference
model_chunk = nerf(typ == 'coarse', xyz_chunk, sigma_noise=sigma_noise)
File "/share/home/drliuqi/anaconda3/envs/mega-nerf/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/share/home/drliuqi/gjf/3D-Reconstruction/mega-nerf-main/mega_nerf/models/mega_nerf.py", line 22, in forward
cluster_distances = torch.cdist(x[:, self.cluster_dim_start:3], self.centroids[:, self.cluster_dim_start:])
TypeError: 'bool' object is not subscriptable
can you help me?thanks!

I'm having the same issue, did you fix it?

I'm having the same issue, did you fix it?

no,do you have any idea?

commented

This problem has been bothering me for a long time, and I can't solve it either @.*** @.***

---- Replied Message ---- From @.> Date 08/22/2023 15:32 To @.> Cc @.>@.> Subject Re: [cmusatyalab/mega-nerf] Evaluation Error (Issue #72) I'm having the same issue, did you fix it? no,do you have any idea? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>

This answer maybe help you, just fix the config's setting

This problem has been bothering me for a long time, and I can't solve it either @.*** @.***

---- Replied Message ---- From @.> Date 08/22/2023 15:32 To _@**._> Cc _@.>@._> Subject Re: [cmusatyalab/mega-nerf] Evaluation Error (Issue #72) I'm having the same issue, did you fix it? no,do you have any idea? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: _@_.*>

This answer maybe help you, just fix the config's setting

Thank you very much! It works for me.
I have another problem, when I try to train mega-nerf on my own dataset, it gives error:
Exception: Train metrics not finite: {'psnr': nan, 'depth_variance': tensor(nan, device='cuda:0'), 'photo_loss': tensor(nan, device='cuda:0', grad_fn=), 'loss': tensor(nan, device='cuda:0', grad_fn=)}
do you have any idea?