A paper list of RGBD semantic segmentation (processing)

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

基于ROS的手眼标定

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

Estimating pose using ArUCo Markers

3D目标检测与位姿估计学习笔记

Python3相机标定-手眼标定-偏移标定，误差<1mm，适用于各种相机和机械臂

Latest Advances on Embodied Multimodal LLMs (or Vison-Language-Action Models).

Repository for thesis Swin-Yolor

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Image Processing for Basic Depth Completion

[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion

[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

An implementation of RGB-D co-attention network

Use python3 to convert depth image into hha image

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

The Normalised Object Coordinate Space (NOCS) model trained on the CORSMAL Hand-Occluded Containers (CHOC) dataset. Includes a demo.

New Implementation of NOCS

Code for "SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation" CVPR2022

CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement (ECCV 2022)

本人的科研经验

基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

LaTeX template for USTC thesis

Recent papers about generalizable 6DoF object pose estimation.

[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".

Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!