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xjz-xjz

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awesome-cpp-cn

C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

introduce_c-cpp_manual

一个收集C/C++新手学习的入门项目,整理收纳开发者开源的小项目、工具、框架、游戏等,视频,书籍,面试题/算法题,技术文章。

SparK

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Language:PythonLicense:MITStargazers:1408Issues:26Issues:80

fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

Language:PythonLicense:MITStargazers:921Issues:32Issues:69

semantic_slam

Real time semantic slam in ROS with a hand held RGB-D camera

Language:C++License:GPL-3.0Stargazers:620Issues:14Issues:60

manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

Language:PythonLicense:NOASSERTIONStargazers:611Issues:18Issues:71

Lite-Mono

[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

Language:PythonLicense:MITStargazers:514Issues:11Issues:150

semantic_slam_nav_ros

针对带有RGBD相机的服务机器人,物流机器人等。具有:语义地图构建、定位导航、三维重构、重定位、动态物体识别、移动避障、手势识别、人脸识别、语音合成与识别等功能

D4LCN

A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020

Language:PythonLicense:MITStargazers:313Issues:9Issues:43

OpenCVImage

📸 A project covering all basic operations of OpenCV based on Qt

orb-slam2_with_semantic_label

orb-slam2 with semantic label

Language:C++License:NOASSERTIONStargazers:273Issues:12Issues:29

RoboDepth

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

HR-Depth

[AAAI 2021] HR-Depth : High Resolution Self-Supervised Depth Estimation

Language:Jupyter NotebookLicense:MITStargazers:234Issues:13Issues:17

LQFramKit

c++ Qt5 implementation of some control(使用C++ Qt5封装的一些控件,以便后期项目中直接使用。这些控件有些是来自于网络有些属于个人封装,代码中都有出处)

Language:C++License:Apache-2.0Stargazers:205Issues:28Issues:2

MonoViT

Self-supervised monocular depth estimation with a vision transformer

Language:PythonLicense:MITStargazers:149Issues:6Issues:29

GCNDepth

Self-Supervised CNN-GCN Autoencoder for Monocular Depth Estimation

Language:PythonLicense:MITStargazers:108Issues:5Issues:24

SMDE-Pytorch

The repository is to build a fair environment where the Self-supervised Monocular Depth Estimation (SMDE) methods could be evaluated and developed.

Language:PythonLicense:Apache-2.0Stargazers:92Issues:4Issues:6

Screenshot-with-picture-edit

基于qt的截图工具实现了截图后进行多种编辑,采用仿QQ截图控制面板

tri-depth

[WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

Language:PythonLicense:GPL-3.0Stargazers:76Issues:3Issues:10

ForeSeE

Task-Aware Monocular Depth Estimation for 3D Object Detection, AAAI2020

DNet

Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications (IROS 2020)

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:59Issues:6Issues:12

R-MSFM

Code for R-MSFM

Language:PythonLicense:MITStargazers:49Issues:5Issues:8

DenseMonoSLAM

Dense monocular SLAM system suitable for outdoor operation and fast camera motion

GuidedDecoding

Accompaning repository for the 2022 ICRA paper "Lightweight Monocular Depth Estimation through Guided Decoding"

Language:PythonLicense:MITStargazers:28Issues:1Issues:3

freq-aware-depth

[WACV2023] Frequency Aware Self-supervised Depth Estimation

Language:PythonLicense:MITStargazers:27Issues:3Issues:3

Boosting-Light-Weight-Depth-Estimation

Official implementation of "Boosting Light-Weight Depth Estimation Via Knowledge Distillation"

Language:PythonLicense:MITStargazers:25Issues:2Issues:1

QtCV

OpenCV 3.0 algorithms with Qt 5 GUI

Language:C++License:BSD-2-ClauseStargazers:14Issues:4Issues:0

TensorRT_Test

An example of TensorRT, including exporting onnx model, testing onnx model, exporting TRT model, infering TRT model

Language:C++Stargazers:4Issues:1Issues:0

ImageProcessor

通过 Qt 实现对 RGB 图像的仿射变换、对比度处理、任意滤波器滤波及频域转换等功能。

Language:C++Stargazers:4Issues:0Issues:0