Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Official Implementation of 'Fast AutoAugment' in PyTorch.

Efficient Learning of Augmentation Policy Schedules

Implementations of few-shot object detection benchmarks

OpenMMLab Detection Toolbox and Benchmark

OpenMMLab Computer Vision Foundation

A data augmentations library for audio, image, text, and video.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

OpenVSLAM: A Versatile Visual SLAM Framework

Models and examples built with TensorFlow

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

😎 Awesome lists about all kinds of interesting topics

ROS package for semantic segmentation

Simply running ros nodes in docker containers on remote robots.

COLMAP - Structure-from-Motion and Multi-View Stereo

3D Human Pose Machines with Self-supervised Learning

A collection of useful .gitignore templates

python binding for LSD SLAM

Python sample codes and textbook for robotics algorithms.

Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

Open Source Computer Vision Library

Deep Learning for humans

Matlab scripts to perform system identification for muti-rotor systems

A Keras implementation of YOLOv3 (Tensorflow backend)

orb-slam2 with semantic label

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

A collection of Reinforcement and Convolutional algorithms for AirSim and Unreal Engine v4.18 (Quad + Car)