My new pySLAM v2 is out!

I am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment, feature-matching, and many modern local features (based on new Deep Learning approaches). It was a long work to make everything accessible from a single python environment but it was worth it!


Now, you can easily test how many modern local features perform and compare with respect to classical ones, within a pure feature matching application or a within a SLAM/Visual-odometry pipeline. At the present time, the following feature detectors are supported:

The following feature descriptors are supported:

You can find more information in the file feature_types.py.

A serious benchmarking is still a work in progress. 

Source code: 
https://github.com/luigifreda/pyslam

Check also my recent tweet with people’s comments, etc.

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