Caffe: a fast open framework for deep learning.
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)
Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
keyboard controller firmware for Atmel AVR and ARM USB families
It is a service robot system with an informationally structured environment referred to the ROS-TMS. This system enables the integration of various data from distributed sensors, as well as storage of these data in an on-line database and the planning of the service motion of a robot using real-time information about the surroundings. If we want use ROS-TMS, please check the releases information. https://github.com/irvs/ros_tms/releases
Datasets, Transforms and Models specific to Computer Vision