{"repo":"microsoft/YOLaT-VectorGraphicsRecognition","free":true,"listed":false,"github":"https://github.com/microsoft/YOLaT-VectorGraphicsRecognition","clone":"git clone https://github.com/microsoft/YOLaT-VectorGraphicsRecognition.git","description":"Source Code of NeurIPS21 and T-PAMI24 paper: Recognizing Vector Graphics without Rasterization","language":"Python","stars":107,"topics":["gnn-model","vector-database","vector-graphics"],"license":"MIT","category":"databases-storage","readme_excerpt":":fire: [NIPS2021, TPAMI2024] YOLaT & YOLaT++: Powerful and Efficient Graph Models for Vector Graphics Recognition :scroll: Introduction This repository is the official PyTorch implementation of our two powerful vector graphics recognition models. NeurIPS-2021 paper: Recognizing Vector Graphics without Rasterization. TPAMI-2024 paper: Hierarchical Recognizing Vector Graphics and A New Chart-based Vector Graphics Dataset Rendering vector graphics into pixel arrays can result in significant memory costs or loss of information, as demonstrated in above Figure 1. Additionally, this process discards high-level structural information within the primitives, which is critical for recognition tasks such as identifying corners and contours. To summarize, we propose You Only Look at Text series (YOLaT & YOLaT++) which addresses issues with raster graphics by taking in textual documents of vector graphics as input. Environments YOLaT 1. Data Preparation Floorplans a) Download and unzip the Floorplans dataset to the dataset folder: data/FloorPlansGraph5 iter b) Run the following scripts to prepare the dataset for training/inference. Diagrams a) Download and unzip the Diagrams dataset to the dataset folder: data/diagrams b) Run the following scripts to prepare the dataset for training/inference. 2. Training & Inference Floorplans Diagrams YOLaT++ YOLaT++ is introduced, characterized by a hierarchical structure designed for VGs, spanning three levels: Primitive, Curve, and Point . Additional","default_branch":null,"files":null,"tree":[],"storefront":"/r/microsoft","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/microsoft/YOLaT-VectorGraphicsRecognition/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}