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Diagrams Transformers
Wassim edited this page Jul 9, 2023
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- CNN models : VGG, ResNet, Inception
- OpenCV : SIFT, SURF, ORB
- FastText
- ImageNet
- Hugging face transformers (pre-trained models) : ViT, DeiT
- A Diagram can be interpreted from an image with text identification and OCR, but that is the least reliable approach
- A Diagram can be parsed from an SVG file that already contains clear text and shapes, still might require a significant pre-processing
- A Diagram can be parsed from an XML file of a dedicated tool, e.g. Drawio (diagrams.net) that already contains meaningful information
- A reasonable intermediate step is to transform the Diagram to a graph and then use known graph Embeddings
- Node2Vec
- Graph2Vec
- GraphSAGE
- paper "Automated Software Architecture Diagram Generator using Natural Language Processing"
- https://www.researchgate.net/publication/371011658_Automated_Software_Architecture_Diagram_Generator_using_Natural_Language_Processing
- Diagram as code : diagrams.mingrammer.com
- Show me diagrams
- homepage : https://showme.redstarplugin.com/
- github (500) : https://github.com/bra1nDump/show-me-chatgpt-plugin