zpy
BlenderNeRF
zpy | BlenderNeRF | |
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9 | 3 | |
288 | 682 | |
0.0% | - | |
0.0 | 5.0 | |
over 2 years ago | 8 months ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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zpy
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Help finding a model that can identify small cubes
This is actually a great problem for synthetic data. You can make a synthetic dataset of colored cubes on different backgrounds using something like Unity or zpy (shameless plug). The synthetic data will be much larger and more varied than one you create & label by hand.
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Why isn't this technology used more for AI projects?
I'm sort of in the same boat. I just discovered this very interesting package called zpy that's meant to help automate turning synthetic conditions into training data. I have some experience with Python and am fairly new to Blender, but I could probably get as far as making a good segmented dataset.
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Why Blender Is the Best Software for the 3D Workflow
Thanks for getting this far! If you’re interested in 3D and what it can do for synthetic data, check out our open-source data development toolkit zpy. Everything you need to generate and iterate synthetic data for computer vision is available for free. Your feedback, commits, and feature requests are invaluable as we continue to build a more robust set of tools for generating synthetic data. In the meantime, if you need our support with a particularly tricky problem, please reach out.
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Discussion on Medium
I work at Zumo Labs, where we create synthetic data for computer vision using zpy (github.com/ZumoLabs/zpy).
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How to 3D Scan an Object for Synthetic Data
The easiest way to get started with zpy (available on GitHub) is to follow the steps outlined in this short video tutorial series.
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Use Python and Blender to Make More Dynamic Training Data
Tools that make synthetic data generation easy are fundamentally changing the way machine learning work is done. Iterating and improving the dataset over the course of a project is more important to project success than iterating the model architecture. That's why we are releasing zpy, an open source synthetic data toolkit. All developers should have the option of working with dynamic data rather than static data.
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[P] Synthetic Data for CV with Python and Blender
https://github.com/ZumoLabs/zpy We just released our open source synthetic data toolkit built on top of Blender. Our package makes it easy to design and generate synthetic data for computer vision projects. Let us know what you think and what features you want us to focus on next!
https://github.com/ZumoLabs/zpy We just released our open source synthetic data toolkit built on top of Blender. Our package makes it easy to design and generate synthetic data for computer vision projects. Let us know what you think and what features you want us to focus on next!
- Using Blender for Computer Vision
BlenderNeRF
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Camera Track to NERF
Blender (use the SOF method on imported cameras, can be from anywhere that generates camera tracks): https://github.com/maximeraafat/BlenderNeRF
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An AI-generated 3D scene created from photos
You'll likely need a plugin like this: https://github.com/maximeraafat/BlenderNeRF
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Other fast and free ways to get transforms.json file?
BlenderNeRF (https://github.com/maximeraafat/BlenderNeRF), simply just takes blender per-frame blender camera locations and puts them in NeRF format,
What are some alternatives?
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
Retargeter - blender add-on for importing augmented reality motion tracking data recorded with the mobile application blendartrack
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
agi2nerf - Simple tool for converting Agisoft XML files to NERF JSON files for https://github.com/NVlabs/instant-ngp
retopoflow - A suite of retopology tools for Blender
talking-head-anime-3-demo - Demo Programs for the "Talking Head(?) Anime from a Single Image 3: Now the Body Too" Project
Meshroom - 3D Reconstruction Software
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
rome - Realistic mesh-based avatars. ECCV 2022
TextRecognitionDataGenerator - A synthetic data generator for text recognition
taichi-nerfs - Implementations of NeRF variants based on Taichi + PyTorch