Giter VIP home page Giter VIP logo

Comments (7)

HpWang-whu avatar HpWang-whu commented on September 23, 2024

Hi @hzhsdie,
You can use it for your research!
First, you should follow here to extract a set of yoho features on each point cloud.
Then, you can follow here to use SGHR on your own dataset.
Registering 10 scans will be quite fast (might be a few minutes or less).

Yours,

from sghr.

Tcode8 avatar Tcode8 commented on September 23, 2024

Hi @hzhsdie, You can use it for your research! First, you should follow here to extract a set of yoho features on each point cloud. Then, you can follow here to use SGHR on your own dataset. Registering 10 scans will be quite fast (might be a few minutes or less).

Yours,

I'd like to ask, what is the Rotation.npy file needed when extracting YOHO features? How can I obtain this file? Also, if I only have multiple point clouds, can I achieve obtaining the registered point cloud by just inputting the point cloud files? Looking forward to your reply thank u!

from sghr.

HpWang-whu avatar HpWang-whu commented on September 23, 2024

Hi @Tcode8,
The Rotation.npy file is the group rotations required for YOHO feature extraction.
For the second question, the answer is yes. No other files are needed.

Yours,

from sghr.

Tcode8 avatar Tcode8 commented on September 23, 2024

Hi @Tcode8, The Rotation.npy file is the group rotations required for YOHO feature extraction. For the second question, the answer is yes. No other files are needed.

Yours,

May I ask what content is contained in the 'Rotation.npy' file and how can I obtain this file?

from sghr.

HpWang-whu avatar HpWang-whu commented on September 23, 2024

Hi @Tcode8,
This file contains 60 rotations of the icosahedral group. You can directly use the one at https://github.com/HpWang-whu/YOHO/blob/master/group_related/Rotation.npy rather than create one yourself. This file is universal for feature extraction on any point cloud.

Yours,

from sghr.

hzhsdie avatar hzhsdie commented on September 23, 2024

Hi @hzhsdie, You can use it for your research! First, you should follow here to extract a set of yoho features on each point cloud. Then, you can follow here to use SGHR on your own dataset. Registering 10 scans will be quite fast (might be a few minutes or less).

Yours,

Thank you very much for your suggestion, I have implemented the registration of local data, however I can't seem to visualize it, how do I view the final registration result? What do the saved pose.txt and pre.log files refer to?

from sghr.

HpWang-whu avatar HpWang-whu commented on September 23, 2024

Hi @hzhsdie,

I have uploaded a script for result visualization. Now you can view the registration result with:
python visual.py --dataset 3dmatch

Yours,

from sghr.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.