Python package for the evaluation of odometry and SLAM
- slam
- odometry
- evaluation
- metrics
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Python package for the evaluation of odometry and SLAM
Make your pi images smaller!
An all-round MQTT client that provides a structured topic overview
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
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.
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LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
A web-based interface for CNC milling controller running Grbl, Marlin, Smoothieware, or TinyG.
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An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
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A LiDAR odometry pipeline that just works
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TensorFlow for Raspberry Pi
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