pyslam
A hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras with modern features, loop closure, and dense reconstruction.
What is pyslam?
pySLAM is an open-source Visual SLAM framework that enables real-time camera tracking and 3D map building from monocular, stereo, or RGB-D video streams. It solves the problem of estimating a device's position while reconstructing the surrounding environment, which is essential for autonomous robots, AR/VR, and 3D scanning applications.
Researchers and developers in robotics, computer vision, and augmented reality who need a flexible, extensible platform for prototyping and evaluating Visual SLAM algorithms.
pySLAM stands out by offering a hybrid Python/C++ architecture, a vast library of modern features and models, and integrated modules for dense reconstruction, depth prediction, and semantic mapping—all within a single, cohesive environment.
Overview
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Use Cases
Best For
- Prototyping and benchmarking new Visual SLAM algorithms
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