Malcolm-Guo

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

LIO-SAM

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

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

KittiSeg

A Kitti Road Segmentation model implemented in tensorflow.

patchwork-plusplus

Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

robust_point_cloud_registration

Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")

PointNetLK

awesome-state-of-depth-completion

Current state of supervised and unsupervised depth completion methods

self-driving-ish_computer_vision_system

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

PENet_ICRA2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

neor_mini

ROS-based Ackerman-like unmanned car.

YOLOP-opencv-dnn

使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

lvio_fusion

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)

TightlyCoupledINSGNSS

INS/GNSS紧组合程序，使用伪距、伪距率、INS测量，支持双天线测向数据。

ESANet

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

fast-autoaugment-efficientnet-pytorch

A Pytorch implementation of Fast AutoAugment and EfficientNet

EfficientNet-Lite

Pytorch implementation of EfficientNet-lite. ImageNet pre-trained models are provided.

SemAttNet

Official Repository of "SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion"

monodepth

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

mondi-python

PyTorch Implementation of Monitored Distillation for Positive Congruent Depth Completion (ECCV 2022)

Intelligent-Vehicle-Perception-Based-on-Inertial-Sensing-and-Artificial-Intelligence

Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

deeplab_ros

ROS implementation for Deeplab v3 +

DySPN

Non-official PyTorch implementation of the "Dynamic Spatial Propagation Network for Depth Completion"

Yolov5-OpenCV-Cpp-Python-ROS

Inference with YOLOv5, OpenCV 4.5.4 DNN, C++, ROS and Python

cotrain

Repository for the paper "Lidar-Camera Co-Training for Semi-Supervised Road Detection"