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ximinng / PyTorch-SVGRender

SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
https://ximinng.github.io/PyTorch-SVGRender-project/
Mozilla Public License 2.0
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Does it have an option to convert bitmap to vector ? #6

Closed yassinebelatar closed 5 months ago

yassinebelatar commented 8 months ago

Does it have an option to convert bitmap to vector ?

Is it an AI model ?

Like : https://vectorizer.ai/

yassinebelatar commented 8 months ago

Also i get this erro -- Build files have been written to: /root/PyTorch-SVGRender/lama/diffvg/build/temp.linux-x86_64-cpython-310 [ 14%] Building NVCC (Device) object CMakeFiles/diffvg.dir/diffvg_generated_scene.cpp.o [ 28%] Building NVCC (Device) object CMakeFiles/diffvg.dir/diffvg_generated_diffvg.cpp.o /usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’: 435 | function(_Functor&& f) | ^ /usr/include/c++/11/bits/std_function.h:435:145: note: ‘_ArgTypes’ /usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’: 530 | operator=(_Functor&& f) | ^ /usr/include/c++/11/bits/std_function.h:530:146: note: ‘_ArgTypes’ CMake Error at diffvg_generated_diffvg.cpp.o.Release.cmake:280 (message): Error generating file /root/PyTorch-SVGRender/lama/diffvg/build/temp.linux-x86_64-cpython-310/CMakeFiles/diffvg.dir//./diffvg_generated_diffvg.cpp.o

gmake[2]: [CMakeFiles/diffvg.dir/build.make:77: CMakeFiles/diffvg.dir/diffvg_generated_diffvg.cpp.o] Error 1 gmake[1]: [CMakeFiles/Makefile2:99: CMakeFiles/diffvg.dir/all] Error 2 gmake: *** [Makefile:91: all] Error 2

ximinng commented 7 months ago

Sure, here are examples:

# 1. DiffVG: img-to-svg
python svg_render.py x=diffvg target='./data/fallingwater.png'
# change 'num_paths' and 'num_iter' for better results
python svg_render.py x=diffvg target='./data/fallingwater.png' x.num_paths=512 x.num_iter=2000

# 2. LIVE: img-to-svg
python svg_render.py x=live target='./data/simile.png'
# change 'num_paths' and 'schedule_each' for better results
python svg_render.py x=live target='./data/simile.png' x.num_paths=5 x.schedule_each=1