-
Considering that those point clouds are sparse, how do you guys process or maybe divide the data into smaller parts and pass it to the network? Are there any resources that I can refer to learn more a…
-
http://learnmobilelidar.com/
https://www.modus-ai.com/lidar-university-2/
https://learngeodata.eu/point-cloud-processor-formation/
https://www.jiaxinli.me/event-details/my-online-course-of-po…
-
ORB-SLAM2 Copyright (C) 2014-2016 Raul Mur-Artal, University of Zaragoza.
This program comes with ABSOLUTELY NO WARRANTY;
This is free software, and you are welcome to redistribute it
under certain…
-
## 🚀 Feature
Nearest-neighbor search with Ball Query under periodic boundary conditions. #1012 is more open-ended, but related.
## Motivation
[Force fields](https://en.wikipedia.org/wiki/Force_fi…
-
Hello,
From the README, it is not clear how to supply a protein or a list thereof for training/inference. Could you clarify:
- how to supply inputs (proteins for --site, protein pairs for --search)
…
-
When I try to segment a point cloud about 30M, the code becomes very slow. How can I solve this problem?
-
// Create a Context
ob::Context ctx;
// Enter the device ip address (currently only FemtoMega devices support network connection, and its default ip address is 192.168.1.10)
std::stri…
LLY13 updated
1 month ago
-
## Description
India Water Portal has [meteorological datasets](https://www.indiawaterportal.org/articles/background-meteorological-datasets) for 13 climate parameters for all districts of India from…
-
Great project everyone!
I had a two questions regarding training and the dense point cloud.
**Training Time**
I noticed after 100 epochs, the training speed is going at about 25% the speed it w…
-
# Getting startet with LiDAR | your title
Light detection and ranging (LiDAR) observations are point clouds representing the returns of laser pulses reflected from objects, e.g. a tree canopy. Proces…