Collecting, labeling, and cleaning data for computer vision is a pain. Jump into the future and create your own data instead! Synthetic data is faster to develop with, effectively infinite, and gives you full control to prevent bias and privacy issues from creeping in. We created zpy to make synthetic data easy, by simplifying the simulation (sim) creation process and providing an easy way to generate synthetic data at scale.
- Install using pip (Windows/Mac/Linux).
- Install Blender Addon from .zip (Windows/Mac/Linux).
- Install from script (Mac/Linux)
- Developer mode (Linux)
- Developer mode (Windows)
You can install zpy with pip:
pip install zpy-zumo
Note that Blender has it's own python, seperate from your system/venv/conda python. You will have to install it into both.
Once you have installed the zpy module into Blender's python, download the latest zip (you want the one called zpy_addon-v*.zip). Then open up Blender. Navigate to Edit -> Preferences -> Add-ons. You should be able to install and enable the addon from there.
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/ZumoLabs/zpy/main/install.sh)"
Set these environment variables for specific versions:
export BLENDER_VERSION="2.92"
export BLENDER_VERSION_FULL="2.92.0"
export ZPY_VERSION="v1.0.0"
More documentation can be found here
Tutorials
Projects
We provide a simple CLI, you can find documentation here.
We welcome community contributions! Search through the current issues or open your own.
This release of zpy is under the GPLv3 license, a free copyleft license used by Blender. TLDR: Its free, use it!
If you use zpy in your research, we would appreciate the citation!
@article{zpy,
title={zpy: Synthetic data for Blender.},
author={Ponte, H. and Ponte, N. and Karatas, K},
journal={GitHub. Note: https://github.com/ZumoLabs/zpy},
volume={1},
year={2020}
}