BlenderProc
agi2nerf
BlenderProc | agi2nerf | |
---|---|---|
15 | 5 | |
2,554 | 106 | |
2.3% | - | |
8.3 | 0.0 | |
18 days ago | 8 months ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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BlenderProc
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Synthetic image Generation
Blender with add-ons (Kubric, BlenderProc)
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dataset collection for transfer learning
If you are interested, there are open source solutions on top of Unity, Blender, Unreal. You can generate yourself the data you described easier than it looks (the amount of options and settings can be intimidating with these tools).
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Are there any tools to generate images and labels from 3d models/games?
Blender addons like https://github.com/google-research/kubric and https://github.com/DLR-RM/BlenderProc
- How to get started with synthetic data generation?
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Course/Learning Material recommendations for getting started with Synthetic Data Generation for Computer Vision Models
I have been going through some papers and reviewing existing methods and I've come across stuff like UnrealCV (https://unrealcv.org/) and blenderproc (https://github.com/DLR-RM/BlenderProc).
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Searching for MIT CSAIL's IKEA dataset
I'm trying to use BlenderProc to automatically generate training data for object recognition.
- [P] BlenderProc2: Photorealistic Rendering of Procedurally Generated Scenes
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[D] What's the best method to generate synthetic data for an image with text? Small dataset
Check this out https://github.com/DLR-RM/BlenderProc. I haven't used it extensively, but it seems to decent for generating synthetic image data.
- Apple’s Machine Learning Team Introduces ‘Hypersim’: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
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Using Blender for Computer Vision
That looks really interesting, have you seen BlenderProc: https://github.com/DLR-RM/BlenderProc it looks really similar just that BlenderProc already supports a vast variety of datasets and is fully documented.
agi2nerf
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Camera Track to NERF
Agisoft: https://github.com/EnricoAhlers/agi2nerf
- Instant NeRF of the Palm House, Kew Gardens. Made with NVIDIA Instant NGP and the Insta360 RS 1-Inch 360.
- Rooftop DJing 🎛🕺🏽 NeRF breathes new life into "moment" captures like this — turning old drone clips less into 3d models, and more into 3d memories
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I wrote a script for converting Metashape projects to nerfs (Neural Radiance Fields)
Recently I have been experimenting with Nvidia's Instant NGP. They include a script for converting COLMAP saves to nerfs but COLMAP is really bad in my opinion. You can find my script for converting Metashape camera positions to a nerf save here. If you have any questions or feature requests please let me know!
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can someone help me setup an nvidia nerf generator locally? a step by step video would be so helpful, I am not a coder or anything
If you get it running you can also use this tool I wrote to convert Agisoft Metashape saves to nerfs.
What are some alternatives?
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Meshroom - 3D Reconstruction Software
com.unity.perception - Perception toolkit for sim2real training and validation in Unity
IGR - Implicit Geometric Regularization for Learning Shapes
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
BlenderNeRF - Easy NeRF synthetic dataset creation within Blender
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
ECON - [CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration
SingleViewReconstruction - Official Code: 3D Scene Reconstruction from a Single Viewport
BlenderInstant-NGPScript