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: 2 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 (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-29T18:52:44.000Z (8 months ago)
• Last Synced: 2024-04-24T05:00:16.663Z (7 months ago)
• Topics: ai, deep-learning, neural-network, vector-graphics, vectorization
• Language: Python
• Homepage:
• Size: 60.6 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• 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)