tthhee Goto Github PK

ntripcaster-1

oncevim

Vim profiles

open_vins

An open source platform for visual-inertial navigation research.

opencv

Open Source Computer Vision Library

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

openvino

OpenVINO™ Toolkit repository

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

orb_slam2_detailed_comments

Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

orb_slam3_detailed_comments

Detailed comments for ORB-SLAM3

pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pointconv

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointrcnn

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

pointwise

Code for Pointwise Convolutional Neural Networks, CVPR 2018

prml

PRML algorithms implemented in Python

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pyspider

A Powerful Spider(Web Crawler) System in Python.

python3-cookbook

《Python Cookbook》 3rd Edition Translation

randla-net

RandLA-Net in Tensorflow (CVPR 2020)

requests

Python HTTP Requests for Humans™ ✨🍰✨

rgbid-slam

Dense visual SLAM for RGB-D cameras

second.pytorch

SECOND for KITTI/NuScenes object detection

selfnote

semantic_suma

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

sfa3d

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

sjtuthesis

A XeLaTeX template for Shanghai Jiao Tong University (SJTU) thesis.

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.