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Object Segmentation on 3D Point Cloud Data Using Python-PCL, DBSCAN, K-Means, Histograms, RANSAC, and SVM
A Benchmark for High-Dimensional Robot Control.
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
This contains all the codes of the Robot Dynamics and Control Labs. The imlementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems. The codes are written on MATLAB 2017a.
A framework for ROS-based 2D and 3D object recognition.
Discrete Rotation Equivariance for Point Cloud Recognition
Identifying Used Methods and Datasets in Scientific Publications
从三维建筑物点云中获取其隐式参数,例如建筑物的面一般为矩形,可以用其中3个顶点来表示,本项目即是获取这三个点,其他建筑物平面也做同样处理。本项目是基于PCL编程。
Segmentation-driven 6D Object Pose Estimation. CVPR 2019.
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Squeeze-and-Excitation Networks
PyTorch implementation of SENet
学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试
Siamese and triplet networks with online pair/triplet mining in PyTorch
A collection of high-impact and state-of-the-art SR methods
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
Submanifold sparse convolutional networks
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
A PyTorch Implementation of Single Shot MultiBox Detector
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Topics Course on Deep Learning UC Berkeley
手写实现李航《统计学习方法》书中全部算法
A simple GUI tool for generating adversarial poses of objects.
Techniques for deep learning with satellite & aerial imagery
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.