Comments (3)
Hi @Shipborn ,
Thank you for the feedback.
You can use dlpack to interact with data in cupy.
cloud = cupy.asarray(source_data)
dltensor = cloud.toDlpack()
gpu = cph.geometry.PointCloud()
gpu.from_points_dlpack(dltensor)
from cupoch.
Hi @dHofmeister ,
Thank you for the report!
I've corrected the wording and pushed it to master.
Thanks.
from cupoch.
Thank you @neka-nat,
for reference for others:
To convert the pointcloud back to the host it currently tells you in the variable description "Use numpy.asarray()
to copy to host."
Which is identical to the open3D description, implying:
host_array = np.asarray(gpu.points)
but the actual code is:
host_array = np.asarray(gpu.points.cpu())
This is not following the open3D API. not a critique, just a heads-up :)
just for future people to see.
Greetings
Deniz
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
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