anomaly-event-detection
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.
How to download and setup anomaly-event-detection
Open terminal and run command
git clone https://github.com/nabulago/anomaly-event-detection.git
git clone is used to create a copy or clone of anomaly-event-detection repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with anomaly-event-detection https://github.com/nabulago/anomaly-event-detection/archive/master.zip
Or simply clone anomaly-event-detection with SSH
[email protected]:nabulago/anomaly-event-detection.git
If you have some problems with anomaly-event-detection
You may open issue on anomaly-event-detection support forum (system) here: https://github.com/nabulago/anomaly-event-detection/issuesSimilar to anomaly-event-detection repositories
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