errors of running SVR test inference

[Bingoang]

Hi,Julian

I really appreciate your great work!
I want to run the SVR test inference, but met some problems:
I downloaded your SVR trained model "checkpoint_epoch_6.tar" , and the input data "test_inference_example".
And I make the folder "if-net-master/experiments/iPC3000_dist-0.5_0.5_sigmas-0.2_0.015_v256_mSVR/checkpoints", and put the "checkpoint_epoch_6.tar" "BMan0201-HD2-O04P05-S_3DSV_H250_W250_res256.npz" "BMan0201-HD2-O04P05-S_3DSV_H250_W250_res256.off" all in the folder.
Then I run the command:
python generate.py -pointcloud -pc_samples 3000 -std_dev 0.2 0.015 -res 256 -m SVR -checkpoint 6 -batch_points 100000
But something goes wrong:

Loaded checkpoint from: /home/ang/if-net-master/models/../experiments/iPC3000_dist-0.5_0.5_sigmas-0.2_0.015_v256_mSVR/checkpoints/checkpoint_epoch_6.tar
experiments/iPC3000_dist-0.5_0.5_sigmas-0.2_0.015_v256_mSVR/evaluation_6_@256/
<torch.utils.data.dataloader.DataLoader object at 0x7f33bc5d7dd0>
0it [00:00, ?it/s]
Traceback (most recent call last):
  File "generate.py", line 63, in <module>
    gen_iterator(out_path, dataset, gen)
  File "/home/ang/if-net-master/generation_iterator.py", line 29, in gen_iterator
    for i, data in tqdm(enumerate(loader)):
  File "/home/ang/anaconda3/envs/if-net/lib/python3.7/site-packages/tqdm/std.py", line 1165, in __iter__
    for obj in iterable:
  File "/home/ang/anaconda3/envs/if-net/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 560, in __next__
    batch = self.collate_fn([self.dataset[i] for i in indices])
  File "/home/ang/anaconda3/envs/if-net/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 560, in <listcomp>
    batch = self.collate_fn([self.dataset[i] for i in indices])
  File "/home/ang/if-net-master/models/data/voxelized_data_shapenet.py", line 55, in __getitem__
    occupancies = np.unpackbits(np.load(voxel_path)['compressed_occupancies'])
  File "/home/ang/anaconda3/envs/if-net/lib/python3.7/site-packages/numpy/lib/npyio.py", line 422, in load
    fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'shapenet/data//04256520/8918d572cff6b15df36ecf951968a8b0/voxelized_point_cloud_256res_3000points.npz'

I'm really new to this, and I hope you can give me some advice. Thanks a lot!

[jchibane]

Hi,
you're welcome - looks good.

I'm currently working on a deadline but will come back to you after that.
I'll update the code with logic for loading the checkpoint. Might take until start of December though.

Best,
Julian

[Bingoang]

@jchibane
Sounds great! Thank you for your reply and look forward to your update!!

[kfarivar]

Hi

I was wondering where I can download the test_inference_example. I only found the pretrained models.

[kfarivar]

I just looked at the generate.py code and saw that the dataset is literally created by a function in the voxelized_data_shapenet.py so it is not surprising it is not working for the single view point cloud input and SVR model. hope we can get the single view human point cloud inference script soon.

[Bingoang]

Hi

I was wondering where I can download the test_inference_example. I only found the pretrained models.

Oh, there may be something wrong with github. You commented 7 days ago, but it just shows now.╭( T □ T )╮
I downloaded the test_inference_example in this issue:
https://github.com/jchibane/if-net/issues/5

[jchibane]

Hi all,

I gave you some bits and pieces in Issue #27 that should get you started - I'd also like to include official support for own point clouds in IF-Nets. A PR is welcome or I might do it myself at some point when I find some more time hopefully.

Best,
Julian

[jchibane]

Will leave the issue open as a feature request.

[elhamravanbakhsh]

I get the same error:
No such file or directory: 'shapenet/data/04379243/e834ef941f7bc9c9e7df9f1005942e3d/boundary_0.1_samples.npz'
or
No such file or directory: 'shapenet/data/02958343/b0945cdea946d1a363c65629bee30ef9/voxelization_32.npy'
while running generate.py or train.py:
FileNotFoundError: [Errno 2] No such file or directory: 'shapenet/data/02958343/25de320e58cb3898f43db49cede9f847/voxelization_32.npy'

Can someone please help me. Thanks.