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Official python implementation for "A Baseline for 3D Multi-Object Tracking"
Abnormal Event Detection in Videos - video surveillance
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
Dynamic anomaly detection in crowded scene videos using sparse autoencoders
System detects anomalous frames in a video, using pre-trained CNN, temoral data and one-class SVM.
Anomaly detection related books, papers, videos, and toolboxes
Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.
This repository contains all the codes related to the project 'Anomaly Detection in Surveillance Videos'. Codes related to model training, testing, summarization are present along with documentation. The project also uses an analysis method known as Grad-CAM which highlights regions of input, which played a role in the decision making of the model.
A background subtraction library
Unsupervised Learning using Videos (ICCV 2015)
Mirror of CMake upstream repository
吴恩达老师的机器学习课程个人笔记
[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network
Deep Feature Flow for Video Recognition
Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"
Code for deep sparse representation based classification will be posted here.
Face alignment in 3000 FPS
Pytorch code for "Foreground Segmentation for Anomaly Detection in Surveillance Videos Using Deep Residual Networks" (SBRT 2017)
Frame level anomaly detection and localization in videos using auto-encoders
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
Tool for computing 3D descriptors in videos developed in my paper "A spatio-temporal descriptor based on 3D gradients", A. Kläser, M. Marszalek and C. Schmid, published at BMVC 2008
图像处理算法
Matlab script for image and video processing. (In SJTU PAMI Lab 2012.09-2015.03)
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
A MATLAB class to represent the tree data structure.
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.