Near Real Time monitoring of satellite image time-series

Python package for near real time detection of change in spatio-temporal datasets nrt provides a standardized interface for Near Real Time monitoring of disturbances on satellite image time-series. The package is optimized for fast computation and suitable for operational deployment at scale. A typical operational use case of such package would be a system constantly receiving new satellite based acquisitions and generating alerts when an anomaly is detected. Five monitoring frameworks from scientific litterature on change detection are implemented and […]

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Monitor and study any place on Earth and in Near Real-Time (NRT) using the SentinelHub services developed by the EO research team at Sinergise

earthspy is a wrapper around methods for the download of satellite data offered in the sentinelhub Python package. This tool makes the monitoring and study of any place on Earth simple, ready to use and easily deployable for operational purposes and NRT applications. Just like a spy! Some useful capabilities: Data download in multiprocessing Data download at optimized resolutions with the Direct Download (DD) method Data download at raw resolution with the Split and Merge Downlodad (SMD) method Data storage […]

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FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks

This repository contains the code (in PyTorch) for the “FADNet++” paper. Contents Introduction Usage Results Acknowledgement Contacts Introduction We propose an efficient and accurate deep network for disparity estimation named FADNet with three main features: It exploits efficient 2D based correlation layers with stacked blocks to preserve fast computation. It combines the residual structures to make the deeper model easier to learn. It contains multi-scale predictions so as to exploit a multi-scale weight scheduling training technique to improve the accuracy. […]

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Realtime YOLO Monster Detection With Non Maximum Supression

Table of Contents Introduction Requirements Some of the Corretly Classified Samples Some of the Misclassified Samples Final Remarks 1. Introduction This repository contains detection of 6 monsters, “Zombie”,”Armored”,”Immolator”,”Crowl”,”Hive”,”Hellhound” on a Crytek game called Hunt Showdown. The reason I work on this game is that, I really enjoy playing this game (Even if i don’t really have chance to play so often), also I admire developers and designers of this game. This game has a philosophy, not realy that straight forward […]

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YolactEdge: Real-time Instance Segmentation on the Edge

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Light-weight network, depth estimation, knowledge distillation, real-time depth estimation, auxiliary data

Boosting Light-Weight Depth Estimation Via Knowledge Distillation, https://arxiv.org/abs/2105.06143 Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Yuan Gao, Xiangyong Lu, Tin Lun Lam Introduction This repo provides trained models and evaluation code for the light weight model for depth estimation. We aim to enable depth estimation to be both computationally efficient and accurate.We developed a knowledge distillation method with auxiliary unlabeled/labeled data for this purpose. We found that: Even without access to the original training set, we can still successfully […]

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A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units

Code for our SIGGRAPH 2021 paper “TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors”. This repository contains the system implementation, evaluation, and some example IMU data which you can easily run with. Project Page Usage Install dependencies We use python 3.7.6. You should install the newest pytorch chumpy vctoolkit open3d. Prepare SMPL body model Download SMPL model from here. You should click SMPL for Python and download the version 1.0.0 for Python 2.7 (10 shape PCs). […]

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ARTEMIS: Real-Time Detection and Automatic Mitigation for BGP Prefix Hijacking

ARTEMIS is an open-source tool, that implements a defense approach against BGP prefix hijacking attacks. It is (a) based on accurate and fast detection operated by the AS itself, by leveraging the pervasiveness of publicly available BGP monitoring services, and it (b) enables flexible and fast mitigation of hijacking events. Compared to existing approaches/tools, ARTEMIS combines characteristics desirable to network operators such    

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Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation

This repository contains the implementation of the following paper: Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation Yuanxun Lu, Jinxiang Chai, Xun Cao (SIGGRAPH Asia 2021) Abstract: To the best of our knowledge, we first present a live system that generates personalized photorealistic talking-head animation only driven by audio signals at over 30 fps. Our system contains three stages. The first stage is a deep neural network that extracts deep audio features along with a manifold projection to project the features […]

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