https://github.com/lrshsl/rtov
Approach to convert raster to vector graphics using AI for my school graduation project.
https://github.com/lrshsl/rtov
ai deep-learning neural-network vector-graphics vectorization
Last synced: 18 days ago
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Approach to convert raster to vector graphics using AI for my school graduation project.
- Host: GitHub
- URL: https://github.com/lrshsl/rtov
- Owner: lrshsl
- Created: 2023-05-13T19:39:07.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-03-29T18:52:44.000Z (about 2 years ago)
- Last Synced: 2025-03-02T08:29:33.047Z (over 1 year ago)
- Topics: ai, deep-learning, neural-network, vector-graphics, vectorization
- Language: Python
- Homepage:
- Size: 60.6 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# RtoV
Approach to convert raster to vector graphics using AI for my school graduation thesis.
Using a convolutional neural network trained on a pipeline of on-the-fly generated image data to approximate a raster image with an image in vetor format.
> This is the repository containing the code for the product. The thesis itself is found in the repository [lrshsl/matura-doc](https://github.com/lrshsl/matura-doc/).
> Information on how to use RtoV can be found under [docs](https://github.com/lrshsl/rtov/tree/main/docs)