fabiopoiesi / dip Goto Github PK

Hi!
When I run "train.py" using the preprocessed data， I got the error"OSError：Unable to open object (bad object header version number)". I don't know how to solve.Do you have any ideas please?Thank you very much.

Is there a problem here? Using the min function to find the minimum value of the array, the contents of the array are the same.

Hi, I really appreciate your work on point cloud registration .The link of preprocessed data has been unable to be opened. Is there any other way or can you send it to me.Thank you very much.

Hi @fabiopoiesi ,
I really enjoyed reading your paper and thanks for supplying your code.
After reading the paper I have some question which are still unclear to me.

1. In the bottleneck part you explain how you find potential matched points within the corresponding patches using alpha and alpha' that their corresponding feature cross some threshold.
   It is not clear to me when you use this idea in the training pipeline, or you just mentioned that for general analysis?

2. In Equ (6), it is not clear to me how you define the sets C_pos and C_neg and how you generate the feature vectors f.
   Does C_pos are a set of matching patches with their network output?

Thanks
Yuval

Dear author,
thanks for your excellent work.
I'm a beginner in the filed of Point Cloud Registration. I still don't know how to find the overlap region. The red points seems to be randomly selected in the source code. Could you please give some advice?

In my experiments, the loss remains to be around 0.8-1.1 even after 300k iterations. Is it right?

The ply of 3DMatch data from fepth-fusion.

When will App's apk be available？

Thanks for your sharing, here I have a question about how to generate 3DMatch_train.zip data.

As far as I know, the data downloaded from 3DMatch contains 62 RGB-D sequences, do those *.ply files were generated by TSDF fusion provided by 3DMatch-toolbox?

Thanks for your help.

Hi, thanks for your interesting work.
When I preprocessed 3DMatch training data, I got the error "AttributeError: module 'open3d' has no attribute 'registration' ".

from isl-org/Open3D#2951
**o3d.pipelines.**registration.compute_fpfh_feature(pcd).

It seems that now it is under pipelines based on the new documentation http://www.open3d.org/docs/release/python_api/open3d.pipelines.html

So in preprocess_3dmatch_correspondences_train.py, we can use:

 result =o3d.pipelines.registration.registration_icp(pcd1, pcd2, .02, np.eye(4),
                                                           o3d.pipelines.registration.TransformationEstimationPointToPoint())

Thanks!
Best wishes!

Hello professor, can you provide the weights trained on KITTI? thank you very much!

Hi, I am really appreciated with your works!

I am just wondering how you dealt with the situation where no points or fewer than 3 points are inside the LRF kernel in lpf.py:

This results in complex numbers in xp, yp, zp.

How did you resolve this problem?

As a solution, putting in zero xyz values to the patch would be a problem. Any ideas?

Thank you very much!

Hi，I used the trained model ckpt_e39_i14400_dim32.pth and the final_chkpt.pth you gave for testing.The test results are different.May I ask how the final_chkpt.pth is obtained.

Hello, thank you for your project. I tried to train the model in colab using the preprocessed data you provided but I got the error below which I don't know how to solve.

Do you have any ideas please?

Hi!
When I run "preprocess_3dmatch_lrf_train.py", I got the error "AttributeError: 'open3d.cpu.pybind.geometry.PointCloud' object has no attribute 'select_down_sample'".

Using

            # select only corresponding points
            pcd1_corr = pcd1.select_by_index(corrs[:, 0])
            pcd2_corr = pcd2.select_by_index(corrs[:, 1])

will fix the error.

Thanks.
Best wishes!

Hi,I'm very interested in your work.
How did you get the final_chkpt.pth?
I am looking forward to your reply.Thank you very much.

Hi, very appreciate the work you have done!

I am just curious about the license of this work. MIT? BSD?

Any plan to announce how you are going to distribute this work?

Thank you so much

Dear professor,

  When I run the `Demo_eth.py` ,I get a bug.

E:\project_1\dip-master\lrf.py:47: RuntimeWarning: divide by zero encountered in double_scalars a1 = 1 / np.linalg.norm(np.dot(v, (alpha * beta)[:, np.newaxis])) E:\project_1\dip-master\lrf.py:49: RuntimeWarning: divide by zero encountered in double_scalars xp = 1 / np.linalg.norm(np.dot(v, (alpha * beta)[:, np.newaxis])) * np.dot(v, (alpha * beta)[:, np.newaxis]) E:\project_1\dip-master\lrf.py:49: RuntimeWarning: invalid value encountered in multiply xp = 1 / np.linalg.norm(np.dot(v, (alpha * beta)[:, np.newaxis])) * np.dot(v, (alpha * beta)[:, np.newaxis])

Can you give mo some advice? Thanks.
Best.

the result we got using 'python demo_3dmatch.py' is not so good as presented in the paper.The cups on tabel is not aligned.