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Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020
Gate-Shift Networks for Video Action Recognition
ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition
Assignments for CS294-112.
In this repository is available source code for automatic recognition of human actions in videos using features extracted from 2D poses. The experiments were run in the KTH and Weizmman databases.
code and project of Geography
Real-time pose estimation and action recognition
Python Implementation of Reinforcement Learning: An Introduction
Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"
DJI RoboMaster Python SDK and Sample Code for RoboMaster EP.
Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.
[NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding.
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
Video Platform for Action Recognition and Object Detection in Pytorch
A general video understanding codebase from SenseTime X-Lab
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
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.