A newer version of the Gradio SDK is available:
6.1.0
This is the data engine for processing training data of Voyager.
π οΈ Dependencies and Installation
Begin by cloning required repositories:
# VGGT
git clone https://github.com/facebookresearch/vggt.git
touch vggt/vggt/__init__.py # create an empty init.py
# MoGe
git clone https://github.com/microsoft/MoGe.git
# Metric3D
git clone https://github.com/YvanYin/Metric3D.git
# comment out line 8-12 in Metric3D/mono/utils/comm.py
# add from mono.model.backbones import * to Metric3D/mono/utils/comm.py
Install required dependencies:
conda create -n data_engine python=3.10
conda activate data_engine
pip install -r requirements.txt
π οΈ Install Environment
# project path
cd data_engine
# VGGT
git clone https://github.com/facebookresearch/vggt.git
touch vggt/vggt/__init__.py
# MoGe
git clone https://github.com/microsoft/MoGe.git
# Metric3D
git clone https://github.com/YvanYin/Metric3D.git
# !!! important steps:
# comment out line 8-12 in Metric3D/mono/utils/comm.py
# and then add from mono.model.backbones import * to Metric3D/mono/utils/comm.py
# pip install environment
conda create -n voyager_dataengine python=3.10
conda activate voyager_dataengine
pip install -r requirements.txt
# run dataEngine
bash dataEngine.sh
π Run Data Engine
We provide a script to run the data engine.
bash run.sh