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University of Chinese Academy of Sciences
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A generative world for general-purpose robotics & embodied AI learning.
A collection of tools and algorithms for image guided systems
自己总结的这十多年做Qt开发以来的经验,以及Qt相关武林秘籍电子书,会一直持续更新增加,欢迎各位留言增加内容或者提出建议,谢谢!公众号:Qt实战/Qt入门和进阶/Qt教程
我的导航学习笔记,内容涵盖导航定位开源程序的源码解读 ( 包括:RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐;本仓库会长期更新,分享出来,既是跟大家做个交流,也激励着自己坚持学下去;所有内容都可以随意转载,原始文件都放在这了,欢迎在我的基础上整理出自己的一些文档。
lassoan / pyigtl
Forked from SlicerIGT/pyIGTLinkPython implementation of OpenIGTLink
SciKit-Surgery / ndicapi
Forked from PlusToolkit/ndicapiA common C API for communicating with NDI Polaris and Aurora devices
A web-based collaborative LaTeX editor
Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))
Nonrigid Reconstruction of Freehand Ultrasound without a Tracker (MICCAI2024)
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
A curated list of related papers and resources for freehand 3d ultrasound.
Software library for data acquisition, pre-processing, and calibration for navigated image-guided interventions.
An efficient pytorch implementation of selective scan in one file, works with both cpu and gpu, with corresponding mathematical derivation. It is probably the code which is the most close to select…
😘 让你“爱”上 GitHub,解决访问时图裂、加载慢的问题。(无需安装)
Python drivers for NDI's Aurora system
UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth
[IEEE TMI] Official Implementation for UNet++
AI assisted identification of location and anatomical structure in biliary pancreatic endoscopic ultrasound.
Mutual-Guided Dynamic Network for Image Fusion (ACM-MM 2023)
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Colonoscopy 3D Video Dataset (C3VD) acquired with a high definition clinical colonoscope and high-fidelity colon models for benchmarking computer vision methods in colonoscopy.