GSORF

GSORF's Stars

• xdspacelab/openvslam

  OpenVSLAM: A Versatile Visual SLAM Framework

  3k161385869

• ialhashim/DenseDepth

  High Quality Monocular Depth Estimation via Transfer Learning

  Language:Jupyter Notebook1.6k33205353

• TRI-ML/packnet-sfm

  TRI-ML Monocular Depth Estimation Repository

  Language:Python1.2k57228243

• geohot/twitchslam

  A toy implementation of monocular SLAM written while livestreaming

  Language:Python9724911209

• bluestyle97/awesome-3d-reconstruction-papers

  A collection of 3D reconstruction papers in the deep learning era.

  77321055

• Cartucho/vision_blender

  A Blender addon for generating synthetic ground truth data for Computer Vision applications

  Language:Python490113026

• gpx-animator/gpx-animator

  GPX Animator

  Language:Java299841256

• meyerls/pc-skeletor

  Skeletonization of 3D Point Clouds

  Language:Python15142918

• FoamoftheSea/KITTI_visual_odometry

  Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.

  Language:Jupyter Notebook1474446

• darglein/Snake-SLAM

  Language:C++12481023

• nbarba/py3DRec

  3D modeling from uncalibrated images

  Language:Python949829

• AaltoML/GP-MVS

  Multi-View Stereo by Temporal Nonparametric Fusion

  Language:Python60636

• FlagArihant2000/sfm-mvs

  Structure from Motion (SfM)

  Language:Python583213

• meyerls/aruco-estimator

  Automatic Scale Factor Estimation of 3D Reconstruction in COLMAP Utilizing Aruco Marker

  Language:Python39154

• tamasino52/Railway_detection

  Railway detection in video without deep learning

  Language:Python381113

• RT-studios/camera-pnpoint

  235150

• deven98/raw_gnss

  Language:Dart13248

• GSORF/renderfarm

  This is the trunk repository for the Georg-Simon-Ohm Renderfarm (GSORF). You can find information about GSORF by visiting http://www.gsorf.lwtv.de

  Language:C++12822

• rogrosso/lectures

  Language:JavaScript9204

• mjtq-slamlearning/SI-VSLAM

  This is a general project that can be used for semantic slam based on ORB-SLAM2. The program has three inputs, corresponding to RGB sequence, depth sequence and semantic sequence. The program can selectively output semantic point cloud or RGB point cloud. The semantic octomap can only be used in the ROS environment and can be viewed through Rviz

  Language:C++5

• JJBlue/Reconstruction_Visualisation

  Language:Python3100