ov2slam
openvslam
| ov2slam | openvslam | |
|---|---|---|
| 1 | 3 | |
| 545 | 2,952 | |
| - | - | |
| 0.0 | 4.0 | |
| almost 3 years ago | about 3 years ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ov2slam
-
Questions for SLAM/SfM for Dense 3D Reconstruction (DSO vs ORB, Monofusion etc.)
For instance you could go with : https://github.com/ov2slam/ov2slam , add some processing on the keyframes for depth maps computation and then fuse the depth maps in a TSDF using https://github.com/personalrobotics/OpenChisel or https://github.com/ethz-asl/voxblox
openvslam
-
Grafana, Loki, and Tempo will be relicensed to AGPLv3
This might be the case. However there is an additional risk and process component:
- you might not want to risk because you don't have lawyers etc in your company.
- even if you have lawyers etc in your company, if there are 2 alternatives one which is just an MIT license, you'll probably go for that one because you don't want to have a 1.5 month review of the use of this AGPL licensed alternative.
In general things like this https://github.com/xdspacelab/openvslam/wiki/Termination-of-... (repo with 3k stars), an effort terminated because of some traces of GPL code MIGHT be somewhere in there comes to light. Even though Grafana etc are mostly tools, for my startup I would probably not risk any of this (for my own sake and also for any kind of due diligence in case it ever gets acquired)
- OpenVSLAM – Termination of the release because of GPLv3
-
Looking for cheap solution for many-camera SLAM
OpenVSLAM
What are some alternatives?
pyslam - pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
ORB_SLAM3 - ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
pixel-perfect-sfm - Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
tello-ros2 - ROS2 node for DJI Tello and Visual SLAM for mapping of indoor environments.
OpenChisel - An open-source version of the Chisel chunked TSDF library.
rtabmap - RTAB-Map library and standalone application
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
open_vins - An open source platform for visual-inertial navigation research.
voxblox - A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
Kimera - Index repo for Kimera code
MonoRec - Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
SuperPoint_SLAM - SuperPoint + ORB_SLAM2