Don't be worried by complexity of this banner, with latest version of docker installed correctly, you can run Deep Video Analytics in minutes locally (even without a GPU) using a single command.
Author: Akshay Bhat, Cornell University.
Deep Video Analytics is a platform for indexing and extracting information from videos and images. For installation instructions & demo go to https://deepvideoanalytics.com
- Pytorch License
- Darknet License
- AdminLTE2 License
- FabricJS License
- Modified PySceneDetect License
- Modified SSD-Tensorflow Individual files are marked as Apache
- Yahoo LOPQ Apache License 2.0
- FAISS License (Non Commercial)
- Facenet License
- MTCNN TensorFlow port of MTCNN for face detection/alignment
- Locally Optimized Product Quantization License
- Docker
- JSFeat not used but included
- Segment annotator Not used but inclued
- Nvidia-docker
- OpenCV
- Numpy
- FFMPEG
- Tensorflow
Copyright 2016-2017, Akshay Bhat, Cornell University, All rights reserved.
Please contact me for more information, I plan on relaxing the license soon, once a beta version is reached (To the extent allowed by the code/models included. e.g. FAISS disallows commercial use.).