I get strange video results though for ShapeNet Single-Category (SRN) like in issue #9 which isn't explicitly resolved there. Could you provide a hint what could cause the messed up video?
I run: python eval/gen_video.py -n srn_chair --gpu_id=0 --split test -P '64 104' -D <srn data dir>/chairs -S 1
Running the above command also throws the following message:
/home/f/pixel-nerf/src/model/models.py:291: UserWarning: WARNING: checkpoints/srn_chair/pixel_nerf_latest does not exist, not loaded!! Model will be re-initialized. If you are trying to load a pretrained model, STOP since it's not in the right place. If training, unless you are startin a new experiment, please remember to pass --resume.
https://user-images.githubusercontent.com/56136280/131591577-7a6e9a75-af1e-4810-9892-4539984aa5af.mp4
Hi Alex, thanks for sharing your impressive work!
I get strange video results though for ShapeNet Single-Category (SRN) like in issue #9 which isn't explicitly resolved there. Could you provide a hint what could cause the messed up video?
I run:
python eval/gen_video.py -n srn_chair --gpu_id=0 --split test -P '64 104' -D <srn data dir>/chairs -S 1
Running the above command also throws the following message:
/home/f/pixel-nerf/src/model/models.py:291: UserWarning: WARNING: checkpoints/srn_chair/pixel_nerf_latest does not exist, not loaded!! Model will be re-initialized. If you are trying to load a pretrained model, STOP since it's not in the right place. If training, unless you are startin a new experiment, please remember to pass --resume.