Comments (6)
When I set max_nn to 30, with 592005 points cloud, the Cupoch normal estimation duration is 231 ms, the Open3D normal estimation on CPU is 178 ms.
from cupoch.
Hi @1939938853 ,
Thanks you for trying!
The difference between the windows version and the linux version is that the rmm library,
which accelerates memory allocation, is disabled in the windows version.
On linux, with rmm's memory allocation disabled, about 10,000 points, open3d with OpenMP enabled,
the results are below.
At about 10,000 points, you can see that there is almost no difference in speed between CPU and GPU.
The next comparison is for 100,000 points, other conditions being the same.
A 100,000 point calculation can show the effectiveness of the GPU.
Especially estimate_normals are hard to make a difference.
from cupoch.
Hello Neka-Nat,
Thank you for your explanation.
On the first figure, do you mean "On linux, with rmm's memory allocation ENABLED" ?
I saw you use STDGPU. Can STDGPU on windows plays the same role as RMM on Linux for acceleration? What is the GPU acceleration situation of Cupoch on Windows now?
from cupoch.
Thank you for replying.
All of the above calculations have rmm disabled.
On linux, you can choose to enable or disable rmm.
On windows, rmm is disabled.
STDGPU has no effect on the speed.
from cupoch.
Hello,
Here is my test on windows with vs2019
- For 18519 points cloud,normal estimation (KDTreeSearchParamHybrid), Open3D 10 ms, Cupoch 52 ms.
- For 592005 points cloud, normal estimation (KDTreeSearchParamHybrid), Open3D 2540 ms, Cupoch 6279 ms.
- for 198835 points cloud (cupoch data) , ICP registration, Open3D 1499 ms, Cupoch 221 ms.
It looks that for ICP registration, the Cupoch GPU speedup (acceleration) is quite effective. But for normal estimation, why Cupoch is much slower than Open3D?
Any suggestion?
Thank you!
from cupoch.
Hi,
Thank you for trying.
The max_nn parameter used for estimate_normals affects the calculation speed.
In my experiment above, I set max_nn to 30, but if I set max_nn to 100, the CPU is faster.
You can improve the speed by setting max_nn to a smaller value.
from cupoch.
Related Issues (20)
- Redefinition problem of 3rd party lib when use Cupoch side by side with Open3D
- Outlier Removal Not working HOT 1
- Poisson's surface reconstruction
- Getting cudaErrorMemoryAllocation out of memory HOT 6
- fastglobalregistration.cu have error HOT 1
- icp TransformationEstimationPointToPlane yields different result compare to open3d
- stdgpu::vector::size : Size out of bounds: -120 not in [0, 17527]. Clamping to 0 HOT 1
- Building SHARED_LIBS and run registration_cuda will crash.
- Implementation of LaserScanBuffer::CreateFromPointCloud(pointcloud_to_laserscan)
- Unable to Read Binary PLY File
- speed performace VS open3d HOT 1
- Error: OS call failed or operation not supported on this OS phong_shader.cu:330 HOT 1
- Check collision between a mesh and a set of points.
- The result of using ClusterDBSCAN() is wrong, it treats each point as a cluster HOT 4
- compile C++ static lib fail (master-v0.2.8.1), content of src/cupoch/visualization/shader/shader.h is wrong HOT 4
- registration_ransac_based_on_feature_matching
- cupoch is slower than open3d-cpu and open3d-gpu HOT 2
- How to set point cloud as numpy array HOT 2
- ICP algorithm have CUDA version? HOT 3
- MemoryError cph.initialize_allocator(cph.PoolAllocation, 1000000000) HOT 5
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 cupoch.