Could you elaborate how to prepare SUNCG dataset?

I really want to test your model.
I'm having a trouble to get ready for SUNCG dataset .
Please help me out!!!

room_pkl = pickle.load(f)
AttributeError: Can't get attribute 'Wall' on <module 'data.house' from '/mnt/cfs/sceneformer/data/house.py'>

how to load the pkl file?

Thanks for your great paper
When I run the deep-synth create_data.py to prepare the dataset ,I just get the (floor,wall,nodes) tuple,but the suncg_shift_seperate_dataset_deepsynth.py want the (floor,wall,windows,door,nodes) tuple.Does some wrong I make when I prepaer the dataset?
Wish for your reply.

conda env create --name sceneformer3 --file environment.yaml

>>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

Traceback (most recent call last):
  File "/root/anaconda3/lib/python3.8/site-packages/conda/exceptions.py", line 1079, in __call__
    return func(*args, **kwargs)
  File "/root/anaconda3/lib/python3.8/site-packages/conda_env/cli/main.py", line 80, in do_call
    exit_code = getattr(module, func_name)(args, parser)
  File "/root/anaconda3/lib/python3.8/site-packages/conda_env/cli/main_create.py", line 88, in execute
    spec = specs.detect(name=name, filename=get_filename(args.file), directory=os.getcwd())
  File "/root/anaconda3/lib/python3.8/site-packages/conda_env/specs/__init__.py", line 43, in detect
    if spec.can_handle():
  File "/root/anaconda3/lib/python3.8/site-packages/conda_env/specs/yaml_file.py", line 18, in can_handle
    self._environment = env.from_file(self.filename)
  File "/root/anaconda3/lib/python3.8/site-packages/conda_env/env.py", line 166, in from_file
    return from_yaml(yamlstr, filename=filename)
  File "/root/anaconda3/lib/python3.8/site-packages/conda_env/env.py", line 144, in from_yaml
    data = validate_keys(data, kwargs)
  File "/root/anaconda3/lib/python3.8/site-packages/conda_env/env.py", line 37, in validate_keys
    new_data = data.copy() if data else {}
AttributeError: 'str' object has no attribute 'copy'


who knows what is wrong with my operation,conda version or something else ?

thanks for your great paper
i use the scripts creat_data.py to process suncg dataset, but it did not generate the model_dims.pkl file.

is there any scripts i can use to generate model_dims.pkl on suncg dataset?

Best regards,
Li

Hello, Because of unavailability of SUNCG, I'm thinking of using 3D-FRONT to train sceneformer. And I have the following questions:

What need to be modified in codes?
What is the data structure under suncg_data?
If you have any code to make 3D-FRONT compatible with SUNCG, I would be most grateful.

Thank you very much for your help in advance.

Thanks for your greatest work
I have some question when I browse the scene_shift_loc_col.py
"joint_emb = cat_emb+pos_emb+loc_emb+ori_emb+coor_type_emb+curr_cat_emb"
what does the curr_cat_emb means ?
looking forward for your reply

Thanks for the great paper and code,

I'm trying to use your model and I've a question regarding the implementation,
about the contents of the model_dims.pkl, in the paper you say Similarly the dimensions of each object; length, width and height or (l, w, h) are scaled and quantized
given how you read model_dims.pkl, it seems the scaling part at least was not implemented, right?

Best regards,
Mohamad.

Hi,after I run the script.py which the deep synth have,I get the filtered room data,but the train code need "model_dims.pkl",I just have "model_prior.pkl" ,"model_frequency.pkl","fine_categories_frequency","final_categories_frequency" and "coarse_categories_frequency",which pkl files is the "model_dims.pkl"?

Hi, Nice work! Could you please add license (e.g., Apache License) so that we can reproduce the results without legal concerns?

Thanks for your great paper and code.

I used the configuration provided in configs/scene_shift_X_config.yaml to train 4 models.
The minimum losses of the cat, dim, ori models are about 1.5, and the corresponding epochs are about 300. But the loss of loc model can't be minimized to less than 2.5, and the training stopped early at about 100 epochs.

Does the training of the cat, dim, ori models meet expectations?
And what configuration should I modify to fix the training of model loc? (e.g. for configs/scene_shift_loc_config.yaml, dose warmup: 2 need to modified?)

Hi, the SUNCG dataset is not available, so, can you provide the pretrained models? Thank you.

Thanks for your great paper and code.
As described in your paper, you used 50 object categories for bedrooms and 39 object categories for living room. But Kai Wang used 31 categories and 21 categories respectively in DeepSynth.
Could you please give me more details about the object categories you selected? Thank you very much.