Code generation tool for control and status registers
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Updated
Nov 15, 2024 - Ruby
Code generation tool for control and status registers
Square-Root Robocentric Visual-Inertial Odometry with Online Spatiotemporal Calibration
Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
Visual Odometry with Inertial and Depth (VOID) dataset
Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
This repository is no longer maintained. New repository is here(https://github.com/rggen/rggen).
Globally reasoned multi-task model for surgical scene understanding. A multi-task model for segmentation and scene graph. Offical Implementation of "Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding", ICRA 2022 & RA-L.
SystemVerilog RTL and UVM RAL model generators for RgGen
PyTorch implementation of An Adaptive Framework for Learning Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Self-Supervised Label Generator in MATLAB, IEEE RA-L
UVM RAL class package for RgGen
contains different color structures and all convert algorithms
Native Android Colour-Sampling
Convert pixel data to RAL color format in real-time using OpenCV-python
R package containing RAL classic colors, mainly used for varnish and powder coating
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