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| # diffvg | |
| Differentiable Rasterizer for Vector Graphics | |
| https://people.csail.mit.edu/tzumao/diffvg | |
| diffvg is a differentiable rasterizer for 2D vector graphics. See the webpage for more info. | |
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| # Install | |
| ``` | |
| git submodule update --init --recursive | |
| conda install -y pytorch torchvision -c pytorch | |
| conda install -y numpy | |
| conda install -y scikit-image | |
| conda install -y -c anaconda cmake | |
| conda install -y -c conda-forge ffmpeg | |
| pip install svgwrite | |
| pip install svgpathtools | |
| pip install cssutils | |
| pip install numba | |
| pip install torch-tools | |
| pip install visdom | |
| python setup.py install | |
| ``` | |
| # Install using poetry | |
| ## prerequisite | |
| install python 3.7, poetry and ffmpeg | |
| ``` | |
| # install poetry (mac, linux) | |
| curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python - | |
| # install ffmpeg | |
| (macos) | |
| brew install ffmpeg | |
| (linux) | |
| sudo apt install ffmpeg | |
| or use conda | |
| conda install -y -c conda-forge ffmpeg | |
| ``` | |
| ## Install python packages | |
| ``` | |
| # install all python dependencies | |
| poetry install | |
| # install pydiffvg | |
| poetry run python setup.py install | |
| ``` | |
| Now to run the apps, just add `poetry run` before each of the commands below, e.g. | |
| ``` | |
| poetry run python single_circle.py | |
| ``` | |
| # Building in debug mode | |
| ``` | |
| python setup.py build --debug install | |
| ``` | |
| # Run | |
| ``` | |
| cd apps | |
| ``` | |
| Optimizing a single circle to a target. | |
| ``` | |
| python single_circle.py | |
| ``` | |
| Finite difference comparison. | |
| ``` | |
| finite_difference_comp.py [-h] [--size_scale SIZE_SCALE] | |
| [--clamping_factor CLAMPING_FACTOR] | |
| [--use_prefiltering USE_PREFILTERING] | |
| svg_file | |
| ``` | |
| e.g., | |
| ``` | |
| python finite_difference_comp.py imgs/tiger.svg | |
| ``` | |
| Interactive editor | |
| ``` | |
| python svg_brush.py | |
| ``` | |
| Painterly rendering | |
| ``` | |
| painterly_rendering.py [-h] [--num_paths NUM_PATHS] | |
| [--max_width MAX_WIDTH] [--use_lpips_loss] | |
| [--num_iter NUM_ITER] [--use_blob] | |
| target | |
| ``` | |
| e.g., | |
| ``` | |
| python painterly_rendering.py imgs/fallingwater.jpg --num_paths 2048 --max_width 4.0 --use_lpips_loss | |
| ``` | |
| Image vectorization | |
| ``` | |
| python refine_svg.py [-h] [--use_lpips_loss] [--num_iter NUM_ITER] svg target | |
| ``` | |
| e.g., | |
| ``` | |
| python refine_svg.py imgs/flower.svg imgs/flower.jpg | |
| ``` | |
| Seam carving | |
| ``` | |
| python seam_carving.py [-h] [--svg SVG] [--optim_steps OPTIM_STEPS] | |
| ``` | |
| e.g., | |
| ``` | |
| python seam_carving.py imgs/hokusai.svg | |
| ``` | |
| Vector variational autoencoder & vector GAN: | |
| For the GAN models, see `apps/generative_models/train_gan.py`. Generate samples from a pretrained using `apps/generative_models/eval_gan.py`. | |
| For the VAE models, see `apps/generative_models/mnist_vae.py`. | |
| If you use diffvg in your academic work, please cite | |
| ``` | |
| @article{Li:2020:DVG, | |
| title = {Differentiable Vector Graphics Rasterization for Editing and Learning}, | |
| author = {Li, Tzu-Mao and Luk\'{a}\v{c}, Michal and Gharbi Micha\"{e}l and Jonathan Ragan-Kelley}, | |
| journal = {ACM Trans. Graph. (Proc. SIGGRAPH Asia)}, | |
| volume = {39}, | |
| number = {6}, | |
| pages = {193:1--193:15}, | |
| year = {2020} | |
| } | |
| ``` | |