Deep Video Analytics is a platform for indexing and extracting information from videos and images. With latest version of docker installed correctly, you can run Deep Video Analytics in minutes locally (even without a GPU) using a single command.

Deep Video Analytics implements a client-server architecture pattern, where clients can access state of the server via a REST API. For uploading, processing data, training models, performing queries, i.e. mutating the state clients can send DVAPQL (Deep Video Analytics Processing and Query Language) formatted as JSON. The query represents a directed acyclic graph of operations.

A separate repository VisualDataNetwork/root maintains examples of DVAPQL scripts for performing tasks such as processing image dataset (e.g. COCO), Youtube videos, Twitch livestreams, training FAISS indexers etc.

Please visit https://www.deepvideoanalytics.com

• For a quick overview we strongly recommend going through the presentation in readme.pdf

• OCR example has been moved to /docs/experiments/ocr directory.

• /client : Python client using DVA REST API
• /configs : ngnix config + default models + processing pipelines
• /deploy : Dockerfiles + Instructions for development, single machine deployment and scalable deployment with Kubernetes
• /docs : Documentation, tutorial and experiments
• /tests : Tests, Notebooks for interactive debugging andtest data
• /repos : Code copied from third party repos, e.g. Yahoo LOPQ, TF-CTPN etc.
• /server : dvalib + django server contains contains bulk of the code for UI, App and models.
• /logs : Empty dir for storing logs

• FFmpeg (not linked, called via a Subprocess)
• Tensorflow
• OpenCV
• Numpy
• Pytorch
• Docker
• LMDB
• Nvidia-docker
• Docker-compose
• All packages in requirements.txt
• All dependancies installed in CPU Dockerfile & GPU Dockerfile

Copyright 2016-2018, Akshay Bhat, All rights reserved.

Deep Video Analytics is nearing stable 1.0, we expect to release in Summer 2018. The license will be relaxed once a stable release version is reached. Please contact me for more information.