levirve / lsun-room Goto Github PK

The results with the shared weights are not as good as the ones reported. Can you kindly share the original weights?

Could you provide the ground truth data for the raw image input?

thanks for your code ,when i run the lsun_room demo.py there is a AttributeError: module 'onegan' has no attribute 'utils',but i have installed the Onegan 0.5.1, and i have found a test_utils.py in the onegan test test_data file , could you suplly the utils tank you very much @leVirve @nafmichael

賣扣老師.py is missing

Can you guide me through, running this code in my local Jupyter notebook from start to end.

I find that many papers use Hedau dataset

Can you please upload the pretrained model.? I ll be thankful to you.

This is error I get when I try to run 0ython main.py .. OneGAN module does not have any repository utils that contain defination for to-var. Kindly help

thank for your code ,when i run your code as the readme said ,i just get the semantic segmentation map ,but idonot get the edge map or layout map,how to get it

File "/home/mj/PycharmProjects/lsun-room-master/datasets/lsunroom.py", line 49, in getitem
label = F.resize(label, self.target_size, Image.NEAREST)
File "/home/mj/anaconda3/envs/huangsz/lib/python3.8/site-packages/torchvision/transforms/functional.py", line 319, in resize
raise TypeError('img should be PIL Image. Got {}'.format(type(img)))
TypeError: img should be PIL Image. Got <class 'torch.Tensor'>
how to solve it thank you every much

Getting Error:

Can't find trainer.賣扣老師

Hi there,

I ran you code and had this problem.

Referring to other issues, I used OneGan 0.3.2 and v2018.jan version of this.

Any tips for help ?

Thank you for your code. Would you mind to share a model weight to try it please? I don't have a GPU powerful enought to train....

I tested the model on the Lsun dataset, but onlt get PE 19.3%. Is the problem of pretrained.ckpt or my wrong operation?

Can you please provide a link to the article which describes the algorithm? :)

Thanks for your great work!

As mentioned on README, the original LSUN Layout Challenge website is down, so It's really hard to collect the DB.
I found training/valid dataset from your project, but still it seeems there is no test DB anywhere.
Can you share the Test DB and also, if possible, can you share the LSUN original version of train/valid DB (.npz) ?

Thanks a million, in advance.

Thank You!

Originally posted by @Nethika in #3 (comment)
hello ,have you download the dataset,and how did you get the data

FileNotFoundError: [Errno 2] No such file or directory: '../data/lsun_room/training.mat

I have seen the OneGAN in code (no where mentioned in the paper) and its only used for metric calculation. could you please help me to understand how and why the OneGAN was used?

Or do you have a result like room layout image?

Could you share main.py usage example as it's getting difficult for me to understand arguments of it and also how layout_seg_images will be generated?