Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. Most part are from this repo, we made it as a off-the-shelf package:
This code has been test with Python3.6 and PyTorch0.3.0, with a Tesla K80 GPU. The system is Ubuntu 14.04.
# install custom layers
cd FlowNet2_src
bash install.sh
Note: you might need to modify here, here, and here, according to the GPU you use.
First download pre-trained models of FlowNet2 and modify the path, then
python demo.py
If installation is sucessful, you should see the following:
If you find this implementation useful in your work, please acknowledge it appropriately and cite the paper using:
@InProceedings{IMKDB17,
author = "E. Ilg and N. Mayer and T. Saikia and M. Keuper and A. Dosovitskiy and T. Brox",
title = "FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks",
booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
month = "Jul",
year = "2017",
url = "http://lmb.informatik.uni-freiburg.de//Publications/2017/IMKDB17"
}