Photogrammetry-Guide
BlenderProc
| Photogrammetry-Guide | BlenderProc | |
|---|---|---|
| 9 | 15 | |
| 1,027 | 2,554 | |
| - | 1.9% | |
| 7.9 | 8.3 | |
| 4 months ago | 16 days ago | |
| Python | Python | |
| - | GNU General Public License v3.0 only |
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Photogrammetry-Guide
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Tools for Photogrammetry
Useful tools and Resources for getting started with Photogrammetry.
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Tools for Photogrammetry for creating Virtual Reality Assets
Useful Photogrammetry Tools for creating Virtual Reality Assets.
- Photogrammetry Guide
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Useful Tools and Programs for Photogrammtery
A useful list of Tools and Programs for Photogrammetry.
- Cool Photogrammetry Guide/Wiki on GitHub
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.
What are some alternatives?
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
StrayVisualizer - Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
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
LiDAR-Guide - LiDAR Guide
com.unity.perception - Perception toolkit for sim2real training and validation in Unity
curated-list-of-awesome-3D-Morphable-Model-software-and-data - The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
django-loci - Reusable Django app for storing geographic and indoor coordinates. Maintained by the OpenWISP Project.
agi2nerf - Simple tool for converting Agisoft XML files to NERF JSON files for https://github.com/NVlabs/instant-ngp
Meshroom - 3D Reconstruction Software
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.