From a65d6611282dc16001799f966f9c327c3c015479 Mon Sep 17 00:00:00 2001 From: Yuki-Kokomi Date: Thu, 7 Nov 2024 16:12:59 +0800 Subject: [PATCH] Update README.md --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index da2f354..62da7ca 100644 --- a/README.md +++ b/README.md @@ -11,6 +11,8 @@ The dataset and model weights can be accessed at https://huggingface.co/collecti To generate the OpenECAD dataset and train using other CAD datasets, please start from scratch (this project uses DeepCAD as an example). +If you would like to directly try out our model's generation capabilities, you can run `aioscript.sh` and follow the step-by-step instructions provided. + ## Step 1. Use the Bethany tool to convert the DeepCAD dataset into the OpenECAD dataset. First, download all the JSON files from the DeepCAD dataset and place them in the same directory. (Download link: http://www.cs.columbia.edu/cg/deepcad/data.tar) @@ -87,6 +89,10 @@ If the environment is not installed, please first follow the steps mentioned in You can use the model with the WebUI provided by TinyLLaVA: ```shell +# You can download our models using git-lfs. +# git lfs install +# git clone https://huggingface.co/Yuki-Kokomi/OpenECADv2-SigLIP-2.4B + python tinyllava/serve/app.py --model-path ```