Every script encounters the following reported error:
(diffuscene) (base) ryanlu@uq-04:~/DiffuScene/scripts$ PATH_TO_SCENES="/cluster/balrog/jtang/3d_front_processed//threed_future_model_livingroom.pkl" python pickle_threed_future_pointcloud.py /cluster/balrog/jtang/3d_front_processed/ /cluster/balrog/jtang/3D-FRONT/ /cluster/balrog/jtang/3D-FUTURE-model /cluster/balrog/jtang/3D-FUTURE-model/model_info.json --dataset_filtering threed_front_livingroom --annotation_file ../config/livingroom_threed_front_splits.csv
Applying threed_front_livingroom filtering
loading pickled 3d front scenes from : /cluster/balrog/jtang/3d_front_processed//threed_future_model_livingroom.pkl
Traceback (most recent call last):
File "pickle_threed_future_pointcloud.py", line 193, in <module>
main(sys.argv[1:])
File "pickle_threed_future_pointcloud.py", line 109, in main
scenes_dataset = ThreedFront.from_dataset_directory(
File "/home/ryanlu/DiffuScene/scene_synthesis/datasets/threed_front.py", line 232, in from_dataset_directory
return cls([s for s in map(filter_fn, scenes) if s], bounds)
File "/home/ryanlu/DiffuScene/scene_synthesis/datasets/threed_front.py", line 232, in <listcomp>
return cls([s for s in map(filter_fn, scenes) if s], bounds)
File "/home/ryanlu/DiffuScene/scene_synthesis/datasets/common.py", line 208, in inner
s = next(fs)(s)
File "/home/ryanlu/DiffuScene/scene_synthesis/datasets/common.py", line 96, in inner
return scene if scene_type in scene.scene_type else False
AttributeError: 'ThreedFutureModel' object has no attribute 'scene_type'
At line 95, the type of scene is <class 'scene_synthesis.datasets.threed_front_scene.ThreedFutureModel'>.
I have carefully checked the relevant code and confirmed that scene does not have scene_type, bbox, and other attributes, which are heavily used between lines 94-200.
How should I fix this bug? I have already tried downloading preprocessed data and pretrained models. I would like to know if the preprocessed data still needs manual Pickle Latent Shape Code and Preprocess 3D-Front dataset with latent shape codes to generate npz files? If so, Pickle Latent Shape Code and Preprocess 3D-Front dataset with latent shape codes also encounter the AttributeError: 'ThreedFutureModel' object has no attribute 'scene_type' issue.
Thanks for this interesting work.
Every script encounters the following reported error:
At line 95, the type of scene is
<class 'scene_synthesis.datasets.threed_front_scene.ThreedFutureModel'>
.I have carefully checked the relevant code and confirmed that
scene
does not havescene_type
,bbox
, and other attributes, which are heavily used between lines94-200
.How should I fix this bug? I have already tried downloading preprocessed data and pretrained models. I would like to know if the preprocessed data still needs manual
Pickle Latent Shape Code
andPreprocess 3D-Front dataset with latent shape codes
to generate npz files? If so,Pickle Latent Shape Code
andPreprocess 3D-Front dataset with latent shape codes
also encounter theAttributeError: 'ThreedFutureModel' object has no attribute 'scene_type' issue
.Thanks for any help, that means a lot for me.