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    README.md

    Please Note: This repository is no longer maintained. For extracting optical flow from videos please use this latest tool from Open-MMLAB.

    Extracting dense flow field given a video.

    Dependencies:

    • LibZip: to install on ubuntu apt-get install libzip-dev on mac brew install libzip

    For OpenCV 3 Users

    Please see the opencv-3.1 branch. Many thanks to @victorhcm for the contributions!

    Install

    git clone --recursive http://github.com/yjxiong/dense_flow
    mkdir build && cd build
    cmake .. && make -j

    Usage

    ./extract_gpu -f=test.avi -x=tmp/flow_x -y=tmp/flow_y -i=tmp/image -b=20 -t=1 -d=0 -s=1 -o=dir
    • test.avi: input video
    • tmp: folder containing RGB images and optical flow images
    • dir: output generated images to folder. if set to zip, will write images to zip files instead.

    Warp Flow

    The warp optical flow is used in the following paper

    @inproceedings{TSN2016ECCV,
      author    = {Limin Wang and
                   Yuanjun Xiong and
                   Zhe Wang and
                   Yu Qiao and
                   Dahua Lin and
                   Xiaoou Tang and
                   Luc {Van Gool}},
      title     = {Temporal Segment Networks: Towards Good Practices for Deep Action Recognition},
      booktitle   = {ECCV},
      year      = {2016},
    }

    To extract warp flow, use the command

    ./extract_warp_gpu -f test.avi -x tmp/flow_x -y tmp/flow_y -i tmp/image -b 20 -t 1 -d 0 -s 1 -o dir

    项目简介

    🚀 Github 镜像仓库 🚀

    源项目地址

    https://github.com/yjxiong/dense_flow

    发行版本

    当前项目没有发行版本

    贡献者 6

    开发语言

    • C++ 77.6 %
    • Python 10.2 %
    • MATLAB 7.0 %
    • CMake 5.3 %