python-graphslam VS PyDBoW

Compare python-graphslam vs PyDBoW and see what are their differences.

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python-graphslam PyDBoW
1 1
182 22
- -
8.2 0.0
21 days ago about 2 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

python-graphslam

Posts with mentions or reviews of python-graphslam. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-26.

PyDBoW

Posts with mentions or reviews of PyDBoW. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-19.

What are some alternatives?

When comparing python-graphslam and PyDBoW you can also consider the following projects:

simple-slam

pyORBSLAM2 - Ultra-fast Boost.Python interface for ORBSLAM2

indoor_bot - Simple differential drive robot for indoor environments simulated using ROS and Gazebo.

ORB_SLAM2-PythonBindings - A python wrapper for ORB_SLAM2

Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

StrayVisualizer - Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

graph_slam - An educational implementation of GraphSLAM - http://robots.stanford.edu/papers/thrun.graphslam.pdf

ORB_SLAM2 - Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

PythonRobotics - Python sample codes for robotics algorithms.

slam-python - SLAM - Simultaneous localization and mapping using OpenCV and NumPy.