hongshenggeng Goto Github PK

bilibilitool

.Net 5 编写的B站（哔哩哔哩）任务工具，通过GitHub Actions实现每日线上自动运行任务：如每日自动登录、观看、分享、投币视频，获取每日任务的满额经验，轻松升级Level 6；如定时自动领取大会员权益、月底自动为自己充电；如天选时刻抽奖等功能。

bokehme

BokehMe: When Neural Rendering Meets Classical Rendering (CVPR 2022 Oral)

cnn-series-getting-started-and-pytorch-implementation

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

crestereo

Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

epcdepth

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

firmware

PX4 Autopilot Software

google-access-helper

谷歌访问助手破解版、谷歌翻墙、谷歌梯子、谷歌梯子扩展工具、谷歌商店访问、Chrome翻墙

google-research

Google Research

hdes-net

Real-time Pedestrian Depth Estimation and Segmentation

helloworld

Hello my world.

ip_basic

Image Processing for Basic Depth Completion

librealsense

Intel® RealSense™ SDK

monocular-depth-estimation-toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

nlspn_eccv20

Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020

omnimatte

openisp

Image Signal Processor

plotneuralnet

Latex code for making neural networks diagrams

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

raft

self-supervised-depth-completion

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

stereo-vision

C++ example codes for camera calibration, rectification and to build disparity maps

stereonet-activestereonet

stereo matching StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018; ActiveStereoNet:End-to-End Self-Supervised Learning for Active Stereo Systems ECCV2018 Oral

svs

Code Repo for "Single View Stereo Matching" (CVPR'18 Spotlight)

test

the_bilateral_solver

Fast Bilateral Solver implementation with C++ and demos

whitesur-gtk-theme

MacOS Big Sur like theme for Gnome desktops