Reproduction of problems in the windows environment about sstnet HOT 8 CLOSED

Thanks for your attention.

Sorry, we do not deploy our project to the Windows platform.

Our environment is Linux(Ubuntu 16.04/18.04). I think you'd better experiment in Linux platform.

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Thank you for your reply. I also managed to get all the dependencies configured under Ubuntu 20.04, and when I input
CUDA_VISIBLE_DEVICES=0 python train.py --config config/default.yaml
I get the following situation, is this a normal situation? Because I am always in this state for a few hours without any changes. If there is something wrong with it, could you please tell me where the problem is?

(pytorch171) fan@fan-Ubuntu:~/KI_Model/1_Instance_segmetation/SSTNet$ CUDA_VISIBLE_DEVICES=0 python train.py --config config/default.yaml
[10/23 22:27:55 gorilla.config.backup] INFO: gorilla-core version backup.py:39
is 0.2.7.6
[10/23 22:27:55 gorilla.config.backup] INFO: gorilla3d version is backup.py:47
0.1.0
[10/23 22:27:55 gorilla.config.backup] INFO: backup files at backup.py:51
./log/default/backup
[10/23 22:27:55 gorilla.core.env] INFO: set random seed: 123 env.py:161
[10/23 22:27:55 gorilla] INFO: => creating model ... train.py:281
[10/23 22:27:57 gorilla] INFO: #classifier parameters new: train.py:296
113232677
Traceback (most recent call last):
File "/home/fan/anaconda3/envs/pytorch171/lib/python3.8/site-packages/gorilla/
core/registry.py", line 344, in build_from_cfg
return obj_cls(**args)
File
"/home/fan/KI_Model/1_Instance_segmetation/SSTNet/sstnet/data/scannetv2.py",
line 62, in init
self.load_files()
File
"/home/fan/KI_Model/1_Instance_segmetation/SSTNet/sstnet/data/scannetv2.py",
line 66, in load_files
self.files = [torch.load(i) for i in gorilla.track(file_names)]
File
"/home/fan/KI_Model/1_Instance_segmetation/SSTNet/sstnet/data/scannetv2.py",
line 66, in
self.files = [torch.load(i) for i in gorilla.track(file_names)]
File "/home/fan/anaconda3/envs/pytorch171/lib/python3.8/site-packages/torch/se
rialization.py", line 595, in load
return _legacy_load(opened_file, map_location, pickle_module,
**pickle_load_args)
File "/home/fan/anaconda3/envs/pytorch171/lib/python3.8/site-packages/torch/se
rialization.py", line 764, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
EOFError: Ran out of input

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 309, in
gorilla.launch(
File "/home/fan/anaconda3/envs/pytorch171/lib/python3.8/site-packages/gorilla/
core/launch.py", line 72, in launch
main_func(*args)
File "train.py", line 299, in main
do_train(model, cfg, logger)
File "train.py", line 54, in do_train
train_dataset = gorilla.build_dataset(cfg.dataset)
File "/home/fan/anaconda3/envs/pytorch171/lib/python3.8/site-packages/gorilla/
solver/build.py", line 125, in build_dataset
dataset = build_from_cfg(cfg, DATASETS, default_args)
File "/home/fan/anaconda3/envs/pytorch171/lib/python3.8/site-packages/gorilla/
core/registry.py", line 347, in build_from_cfg
raise type(e)(f'{obj_cls.name}: {e}')
EOFError: ScanNetV2Inst: Ran out of input
Working... ━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7% 0:00:27

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My graphics card is an RTX 3060 laptop 6GB

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Ok, I suggest you format your question in suitable markdown syntax, especially for the terminal outputs/Traceback. Such formating can provide a comfortable highlighting effect and mentioning effect.

After scanning your description, I think that your problem may occur in the dataset? Have you generated the files following the README.md, which will generate some *.pth files to load.

And RTX 3060 may not be able to withstand this project. I suggest that the minimum GPU-memory is 12G. 6G memory may not be enough.

Good luck.

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Hello, thank you for your quick reply, I have read the README and have completed the steps in the README. My data file is as follows

Thanks for the reminder that my GPU should probably try the S3DIS dataset. Is there a step-by-step guide like README for processing S3DIS datasets?

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I was got that error after I have read the README and completed the steps in the README, there has *.pth files

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I have not met this problem. I think that you can try to use the ipdb python-lib(pip install ipdb) to add the breakpoint(ipdb.set_trace()) and debug in the SSTNet/sstnet/data/scannetv2.py's __init__ or load_files functions.

Tip: if you want to put your console outputs in the issue, please format it in suitable markdown syntax. It makes your issue content seem more comfortable. Thanks.

Good luck.

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I close this issue. If you have any problem with it, please feel free to reopen it.

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