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Name: Jingsong Xu
Type: User
Name: Jingsong Xu
Type: User
MOT tracking using deepsort and yolov3 with pytorch
Convolutional Neural Networks for Pedestrian Detection
Code for CVPR2016 paper "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs"
This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.
Deformable Convolutional Networks + MST + Soft-NMS
Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.
PyTorch implementation of CloudWalk's recent work DenseBody
Code repository for DenseReg.
Reproduced Detailed-VideoAvatar project for 3D Human-Body Reconstruction
Evaluation of detection performance, recall, and repeatability of detection proposal algorithms
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。
A toolkit for making real world machine learning and data analysis applications in C++
Unsupervised Feature Learning and Deep Learning Tutorial
Virtural try-on under arbitrary poses
Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493
DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.
Matlab implementation of the ECO tracker.
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
Structured Edge Detection Toolbox
《Effective Modern C++》翻译 - 已完成
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Ellipse Field Network for Oriented Object Detection in Aerial Images
Extreme Learning Machine - C++ library
EmbedMask: Embedding Coupling for One-stage Instance Segmentation
计算机视觉实践和探索/Practice and explorations in computer vision.
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.