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to-scene's Issues

Question for data representation(type)

I think the TO-scene presented in the paper constructed mesh representations.
In github, but dataset is constructed by point cloud.
Is there any plan to release mesh dataset?

Thanks

The model training effect is poor

  I'm sorry to bother you, I used the source code which provided for training. At the 50th round of training, the loss value was still large and had no convergence trend, and the accuracy was also very low. Can you tell me why? Alternatively, could you share your checkpoint
  Thanks!
  ![screenshot](https://github.com/GAP-LAB-CUHK-SZ/TO-Scene/assets/115631053/9b94c836-073c-4ecb-b1ff-5b3ebce97147)

run error

Hello, I followed the step of 3d object detection, but when I am running python main.py --mode train --config ./configs/train_heatmap.yaml, I encountered follow problem:

Loading configuration
{'resume': False, 'method': 'heatmap', 'exp_name': 'TO-crowrd_heatmap_1124', 'device': {'use_gpu': True, 'gpu_ids': '3'}, 'data': {'dataset': 'TOS_desk', 'data_dir': './data/TO-crowd-wHM', 'use_color': False, 'use_height': True, 'use_aug': True, 'batch_size': 8, 'num_workers': 8, 'ap_iou_thresh': 0.25, 'npoints': 40000}, 'model': {'input_feature_dim': 1}, 'optimizer': {'type': 'Adam', 'lr': 0.0001, 'beta1': 0.9, 'beta2': 0.999, 'eps': None, 'weight_decay': None}, 'scheduler': {'type': 'MultiStepLR', 'milestone': [50, 80], 'gamma': 0.2}, 'other': {'nepoch': 100, 'model_save_interval': 1, 'model_save_dir': './checkpoints', 'dump_result': True, 'dump_interval': 1000, 'test_interval': 10, 'log_interval': 100}, 'log': {'path': './checkpoints/TO-crowrd_heatmap_1124'}, 'config': './configs/train_heatmap.yaml', 'mode': 'train'}
Data save path: ./checkpoints/TO-crowrd_heatmap_1124
Loading device settings.
CPU mode is on.
Loading dataset.
Traceback (most recent call last):
File "/home/ray/workspace/HRI_Project/TO-Scene/obj_det/main.py", line 25, in
train.run(cfg)
File "/home/ray/workspace/HRI_Project/TO-Scene/obj_det/train.py", line 15, in run
train_loader = get_dataloader(cfg.config, mode='train')
File "/home/ray/workspace/HRI_Project/TO-Scene/obj_det/utils/train_test_utils.py", line 297, in get_dataloader
from dataset.TOS_desk_dataset import TOS_Desk_Dataloader
File "/home/ray/workspace/HRI_Project/TO-Scene/obj_det/dataset/TOS_desk_dataset.py", line 7, in
DC=DOS_desk_config()
File "/home/ray/workspace/HRI_Project/TO-Scene/obj_det/data/model_utils_DOS.py", line 32, in init
self.mean_size_arr = np.load(os.path.join('./data/doscannet_means_desklevel-axisalign-5e6.npz'))['arr_0']
File "/home/ray/anaconda3/envs/pytorch/lib/python3.9/site-packages/numpy/lib/npyio.py", line 405, in load
fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: './data/doscannet_means_desklevel-axisalign-5e6.npz'

It seems that it can't find file doscannet_means_desklevel-axisalign-5e6.npz, however I don't know where the file is.
Could you please tell me how to deal with this?
Thanks very much.

The accuracy of the TO-Real test set is poor

  I used the pointnet++ model to train the dataset, and tested the val dataset very well. However, when testing the To-real dataset, the accuracy was very low. Can you tell me why ?
  thanks!

Why is there no labels in test set

Recently, when reproducing this paper, I found that there are no labels in the test set , so I would like to ask about this situation.

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