python main.py --config configs/config_demo.yaml --mode test ，出现
RPly: Unable to open file
Read PLY failed: unable to open file: /mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/../data/resynth/scans/rp_beatrice_posed_005/96_longshort_flyingeagle/00020
------Step 1: Optimizing w.r.t. UNSEEN scan with full_gt
Traceback (most recent call last):
File "main.py", line 345, in
main()
File "main.py", line 332, in main
**model_config
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/infer.py", line 414, in test_unseen_clo
num_unseen_frames=num_unseen_frames
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/infer.py", line 187, in reconstruct
random_subsample_scan=random_subsample_scan, num_unseen_frames=num_unseen_frames)
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/infer.py", line 103, in model_forward_and_loss
lnormal, closest_target_normals = normal_loss(pred_normals, target_pc_n, idx_closest_gt)
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/losses.py", line 21, in normal_loss
target_normals_chosen = torch.gather(target_normals, dim=1, index=nearest_idx)
RuntimeError: setStorage: sizes [1, 47911, 3], strides [0, 0, 1], storage offset 0, and itemsize 4 requiring a storage size of 12 are out of bounds for storage of s
python main.py --config configs/config_demo.yaml --mode test ，出现
RPly: Unable to open file Read PLY failed: unable to open file: /mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/../data/resynth/scans/rp_beatrice_posed_005/96_longshort_flyingeagle/00020
------Step 1: Optimizing w.r.t. UNSEEN scan with full_gt
Traceback (most recent call last): File "main.py", line 345, in
main()
File "main.py", line 332, in main
**model_config
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/infer.py", line 414, in test_unseen_clo
num_unseen_frames=num_unseen_frames
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/infer.py", line 187, in reconstruct
random_subsample_scan=random_subsample_scan, num_unseen_frames=num_unseen_frames)
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/infer.py", line 103, in model_forward_and_loss
lnormal, closest_target_normals = normal_loss(pred_normals, target_pc_n, idx_closest_gt)
File "/mnt/data2/cv610/anaconda3/envs/SCALEcode/POP/lib/losses.py", line 21, in normal_loss
target_normals_chosen = torch.gather(target_normals, dim=1, index=nearest_idx)
RuntimeError: setStorage: sizes [1, 47911, 3], strides [0, 0, 1], storage offset 0, and itemsize 4 requiring a storage size of 12 are out of bounds for storage of s