- Qt 5.2.0 or higher
- OpenCV 4.3.0 + opencv_contrib
- FFTW 3.3.8 (or higher)
- Mac: macOS 10.15 or higher, Xcode 11 with Command Line Tools
Clone our repository and run git submodule update --init --recursive
to set up our EbSynth submodule.
Install both OpenCV 4.3.0 and opencv_contrib from source, making sure to link them at build time by passing in
cmake -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules <opencv_source_directory>
These should be installed to /usr/local
to link properly with this project.
We recommend the following workflow:
- Clone both repositories to the
deps/
directory. - Create a
build
directory in the clonedopencv
repo andcd
into it. - Run
cmake -DOPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules ..
make -j4
make install
- All set!
Install FFTW using brew install fftw
Next, cd
to deps/ebsynth
and run the appropriate build script (./build-macos-cpu-only.sh
).
We generate inter-image optical flow-based vector fields that encode the velocity of pixels between images using SimpleFlow from opencv_contrib. We present below vector fields generated on our test set.
- Vector field from image to image encoded as HSV images:
- Scalar vx field encoded as grayscale:
- Scalar vy field encoded as grayscale:
Ondřej Jamriška, Šárka Sochorová, Ondřej Texler, Michal Lukáč, Jakub Fišer, Jingwan Lu, Eli Shechtman, and Daniel Sýkora. 2019. Stylizing Video by Example. ACM Trans. Graph. 38, 4, Article 107 (July 2019), 11 pages. https://doi.org/10.1145/3306346.3323006
Michael W. Tao, Jiamin Bai, Pushmeet Kohli, and Sylvain Paris. "SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm". Computer Graphics Forum (Eurographics 2012), 31(2), May 2012.