Comments (2)
Hey @didriksg
So there are two things we can talk about. First one is the separation criterium for clustering (angle beta in the paper and code). This decides how likely it is to separate clusters. Now, this should be picked once for your sensor if you care about meaningful clusters.
The other thing is what is considered to be a cluster, as you put it. To visualize the clusters and make it look decent, I decided to not show very small clusters. This was not indended to be passed to any other human and was done purely for visualization, therefore it is a hack.
In the viewer I just don't draw anything that has height of less than 0.3
: https://github.com/Photogrammetry-Robotics-Bonn/depth_clustering/blob/2107024458f639af5a33c25d8bb3cc2f7a9d93bc/src/qt/drawables/drawable_cube.cpp#L9
I also draw big objects with different color for the same reason:
https://github.com/Photogrammetry-Robotics-Bonn/depth_clustering/blob/2107024458f639af5a33c25d8bb3cc2f7a9d93bc/src/qt/drawables/drawable_cube.cpp#L13-L18
So to adjust that you will have to modify the code as there is no easy way for that. I expected the users to receive the clusters and then post-process them to their needs.
from depth_clustering.
Ah, I see! Thank you for your quick answer and good explenation. I will try it out later this week.
from depth_clustering.
Related Issues (20)
- visualisation of clusters HOT 2
- Implementation on velodyne lidar HOT 5
- How to cluster your own point cloud data and visualize HOT 1
- Status of this package HOT 1
- assertion on unaligned arrays HOT 1
- Release for ROS Noetic HOT 4
- Can't achieve the same effect with my own data HOT 1
- Query on Cluster Visualization HOT 2
- Feature Request: Support ROS pointclouds from Ouster 128-beam LIDAR HOT 1
- Using two 16 line radar fusion data as input HOT 1
- build error HOT 7
- running in real time HOT 1
- running in real time HOT 3
- subscribing to clusters
- compile err error: ‘boost::filesystem’ has not been declared
- Opencv verison
- kitti dataset test error HOT 3
- Get labeled point cloud object HOT 2
- Interesting issue when using ProjectionParams::FromConfigFile method HOT 1
- 3 MEMS combined pointcloud HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
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.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from depth_clustering.