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antsy3d

in-browser point cloud annotation tool for instance-level segmentation with fat markers

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-slam-list

awesome_3dreconstruction_list

A curated list of papers & ressources linked to 3D reconstruction from images.

ba_demo_ceres

Bundle adjustment demo using Ceres Solver, with customized cost function and local parameterization on SE(3)

boxy

Code for https://boxy-dataset.com

buddy

Buddy memory allocation

but_velodyne

ROS packages for Velodyne 3D LIDARs provided by Robo@FIT group.

caffe

Caffe: a fast open framework for deep learning.

cpp-primer

C++ Primer 5 answers

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

deepmvs

DeepMVS: Learning Multi-View Stereopsis

dist-renderer

DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).

dso

Direct Sparse Odometry

dvo

Dense Visual Odometry

dvo_slam

Dense Visual Odometry and SLAM

ethzasl_ptam

Modified version of Parallel Tracking and Mapping (PTAM)

evaluate_ate_scale

Modified tool of the TUM RGB-D dataset that automatically computes the optimal scale factor that aligns trajectory and groundtruth. Useful to evaluate monocular VO/SLAM.

firesight

Pick and Place Vision Library

flownetpytorch

Pytorch implementation of FlowNet by Dosovitskiy et al.

follow_light2d

learning https://github.com/miloyip/light2d

git_learning

gitignore

A collection of useful .gitignore templates

gpu-topk

Efficient Top-K implementation on the GPU

graph

Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts

guidance-sdk

The official Guidance SDK package for Windows, Ubuntu and XU3.

instance_stixels

Implementation of the Instance Stixel pipeline. Paper:

iou

A C++ implement of intersection over union (IoU) ratio calculation.

json-tutorial

从零开始的 JSON 库教程

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.