Extracting dense flow field given a video.

• support multiple optical flow algorithms, including Nvidia hardware optical flow
• support single video (or a frame folder) / a list of videos (or a list of frame folders) as input
• support multiple output types (image, hdf5)
• faster, 40% faster (by parallelize IO & computation)
• record the progress when extract a list of videos, and resume by simply running the same command again (idempotent)

• CUDA (driver version > 400)
• OpenCV (with CUDA support): opencv3 | opencv4
• Boost
• HDF5 (Optional)

git clone https://github.com/open-mmlab/denseflow.git
cd denseflow && mkdir build && cd build
cmake -DCMAKE_INSTALL_PREFIX=$HOME/app -DUSE_HDF5=no -DUSE_NVFLOW=no ..
make -j
make install

If you have trouble setting up building environments, scripts in INSTALL might be helpful.

denseflow test.avi -b=20 -a=tvl1 -s=1 -v

• test.avi: input video
• -b=20 bound set to 20
• -a=tvl1 algorithm is tvl1
• -s=1 step is 1, ie flow of adjacent frames
• -v: verbose

denseflow videolist.txt -b=20 -a=tvl1 -s=1 -v

• videolist.txt: a list of video paths
• -b=20 bound set to 20
• -a=tvl1 algorithm is tvl1
• -s=1 step is 1, ie flow of adjacent frames
• -v: verbose

denseflow videolist.txt -b=20 -a=tvl1 -s=1 -cf -v

• videolist.txt: a list of video paths
• -b=20 bound set to 20
• -a=tvl1 algorithm is tvl1
• -s=1 step is 1, ie flow of adjacent frames
• -cf this switch means that parent folder of the video is a class name
• -v: verbose

denseflow test -b=20 -a=tvl1 -s=1 -if -v

• test: folder of the frame images
• -b=20 bound set to 20
• -a=tvl1 algorithm is tvl1
• -s=1 step is 1, ie flow of adjacent frames
• -if indicates that inputs are frames
• -v: verbose

denseflow test.avi -s=0 -v

• test.avi: input video
• -s=0 step 0 is reserved for extracting frames
• -v: verbose

denseflow videolist.txt -s=0 -v

• videolist.txt: a list of video paths
• -s=1 step is 1, ie flow of adjacent frames
• -s=0 step 0 is reserved for extracting frames
• -v: verbose

$ denseflow -h
GPU optical flow extraction.
Usage: denseflow [params] input

        -a, --algorithm (value:tvl1)
                optical flow algorithm (nv/tvl1/farn/brox)
        -b, --bound (value:32)
                maximum of optical flow
        --cf, --classFolder
                outputDir/class/video/flow.jpg
        -f, --force
                regardless of the marked .done file
        -h, --help (value:true)
                print help message
        --if, --inputFrames
                inputs are frames
        --newHeight, --nh (value:0)
                new height
        --newShort, --ns (value:0)
                short side length
        --newWidth, --nw (value:0)
                new width
        -o, --outputDir (value:.)
                root dir of output
        -s, --step (value:0)
                right - left (0 for img, non-0 for flow)
        --saveType, --st (value:jpg)
                save format type (png/h5/jpg)
        -v, --verbose
                verbose

        input
                filename of video or folder of frames or a list.txt of those

If you use this tool in your research, please cite this project.

@misc{denseflow,
  author =       {Wang, Shiguang* and Li, Zhizhong* and Zhao, Yue and Xiong, Yuanjun and Wang, Limin and Lin, Dahua},
  title =        {{denseflow}},
  howpublished = {\url{https://github.com/open-mmlab/denseflow}},
  year =         {2020}
}

Rewritten based on yuanjun's fork of dense_flow.