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ds-slam

dynaslam

基于ORB-SLAM2修改 动态环境建模 dynamic environments for monocular, stereo and RGB-D setups

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

efficientnet-pytorch

A PyTorch implementation of EfficientNet

eg3d

fast-3d-pointcloud-segmentation

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

greedy_infomax

Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

introrl

Intro to Reinforcement Learning (强化学习纲要）

labelfusion

LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes

lane-marking-detection-tracking

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

learnopencv

Learn OpenCV : C++ and Python Examples

leetcode

LeetCode Problems' Solutions

lidar-and-radar-sensor-fusion-with-extended-kalman-filter

Fusing Lidar and Radar data with Extended Kalman Filter (EKF)

lihang-code

《统计学习方法》的代码实现

limo

Lidar-Monocular Visual Odometry

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

meshroom

3D Reconstruction Software

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

models

Models and examples built with TensorFlow

mx-deepim

Deep Iterative Matching for 6D Pose Estimation

my_paddle

nerf

Code release for NeRF (Neural Radiance Fields)

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

openvslam

A Versatile Visual SLAM Framework