sentient07 / ifmatch Goto Github PK

Thank you first for open-source the code.

In the README, you provided raw data link and data processing tutorials. However, some cpp library have new versions over time, and there are difficulties replicating the DeepSDF .

Also, part of the test data set you provided is also missing.

I would appreciate it if you can provide the processed data set!

Hi Ramana,

Thanks for your work. It's really cool.

I have a question about the dataset. I noticed the len of PointCloud_with_FreePoints is max_points, i.e. 200000. When shuffling items in PointCloudMulti, does this mean that for each instance, it is obtained for 200000 times but with different random indices for on_surface points, free points, etc?

Looking forward to hearing from you.

Hi, @Sentient07 ,

From the section Dataset and Pre-Processing, could you elaborate it further? e.g. it's better to illustrate an example on specific dataset, such as FAUST.

Thanks~

I follow the Dataset and Pre-Processing part to prerocess train dataset and the template but I found that the "surface_pts_n_normal" result of template couldn't satisfied the need in _get_template_info.
There are some codes in _get_template_info
def _get_template_info(self):
...
templ_surf_pth = './data/template/surface_pts_n_normal/%s.mat'%self.template_name
templ_surf_mat = loadmat(templ_surf_pth)
templ_surf_pc = templ_surf_mat['p'][:, :3]
templ_trig_id = np.squeeze(templ_surf_mat['trig_id'])
templ_baryc = templ_surf_mat['bary_coord']
...

It seems that my templ_surf_mat has no key names "trig_id" or "bary_coord"
File "<ipython-input-2-5376759be172>", line 1, in <module> templ_surf_mat['trig_id'] KeyError: 'trig_id'
File "<ipython-input-3-27547a3a9825>", line 1, in <module> templ_surf_mat['bary_coord'] KeyError: 'bary_coord'
The data structure of my templ_surf_mat is:
{'__header__': b'MATLAB 5.0 MAT-file Platform: posix, Created on: Mon Oct 10 11:19:59 2022', '__version__': '1.0', '__globals__': [], 'p': array([[]])}

I wonder how to preprocess the template data correctly?

Thanks for providing the template file.

Now I meet another problem. According to the paper, there is only one human template for all different human datasets and one animal template for animal datasets, right? Then, how do you get the ground truth correspondences between the template and all training shapes? Are there any pre-processing code?

I think it is related to the parameters of 'trig_id' and 'bary_coord'? But how can I get them?

Hi, @Sentient07 ,

The environment config file env.yml is missing, would you help to upload it?

Thanks~

Hi there,

Your work is excellent. I like it very much.

Now I am trying to run the evaluation code with the pre-trained model and the test-set shapes (FAUST-Remesh dataset) you provided. But it seems that I need the template shape, I think it should be the one you use for training, right? Could you provide it?

I randomly set the template shape as 'tr_reg_080', but it does not work, since the corresponding surface point file does not have 'trig_id' and 'bary_coord'.

File "/IFMatch/code/dataset.py", line 220, in _get_template_info templ_trig_id = np.squeeze(templ_surf_mat['trig_id']) KeyError: 'trig_id'