A resource repository for 3D machine learning
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Updated
Jun 28, 2020
A resource repository for 3D machine learning
Hello,
I have learned corto(vclab) and other mesh compression library.I have read some papers such as Edgebreaker: Connectivity compression for triangle meshes and Edge breaker on a Corner Table : A simple technique for representing and compressing triangulated surfaces.However draco code seems more complexity than below projects and papers.Is there technical papers or algorithm documents w
I'm working with Open3D with data from different devices. One of them does not provide the point cloud as a file, so I am creating the file by myself with a little Python script.
However, I am confused by the supported formats:
The pts format contains lines of [x, y, z, i, r, g, b]. xyz and rgb are intuitive and explained, but what exactly is the i for? And in what format is it exp
split-merge either needs GPS info or a image_groups.txt file to split a dataset.
Otherwise it cannot work. The program should help users understand that instead of failing with :
OpenCV Error: Assertion failed (data0.dims <= 2 && type == CV_32F && K > 0) in kmeans, file /code/SuperBuild/src/opencv/modules/core/src/matrix.cpp, line 2701
Traceback (most recent call last):
File "/cod
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
An extra null pointer check is not needed in functions like the following.
In 'pointnet2/scannet/preprocessing/collect_scannet_scenes.py' line #17, we refer to 'scannet_all.txt' file. It would be helpful if you guide where to get or how to generate this file?
Describe the bug
The Reset button in the display options does not reset the button colours
How to reproduce
The "Points" button colour does not change back to the original colour.
*Expected behaviour
Building OpenMVS on MacOS Sierra
Please Make the changes mentioned above so that it becomes clear that the path where vcglib is downloaded maybe anywhere on the system.
Good improvements would include:
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Frustum PointNets for 3D Object Detection from RGB-D Data
Deep Hough Voting for 3D Object Detection in Point Clouds
Tools for professional robotic development in C++ and Python with a touch of autonomous driving and aerospace
@chris-little's feedback from CesiumGS/3d-tiles#405:
Can tilesets be nested hierarchically? I'm not sure from the text.
Can a tile can be "in" more than one tileset? I'm not sure how, but presumbly URIs allow this.
The answers are "yes" and "yes" but they could be clarified in the reference card.
A general 3D object detection codebse.
3D LIDAR-based Graph SLAM
PyTorch implementation of Pointnet2/Pointnet++
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
A lean C++ library for working with point cloud data
Pytorch framework for doing deep learning on point clouds.
A curated list of awesome links and software libraries that are useful for robots.
Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")
Add a description, image, and links to the point-cloud topic page so that developers can more easily learn about it.
To associate your repository with the point-cloud topic, visit your repo's landing page and select "manage topics."
Describe the bug
Documentation says flann version 1.7.1 is minimum required. The least tested version of flann on the CI is 1.8.4:
$ docker run --rm -it ubuntu:16.04 bash $ apt update $ apt search libflann Sorting... Done Full Text Search... Done libflann-dev/xenial 1.8.4-4.1 amd64 Fast Library for App