com.unity.perception
Perception toolkit for sim2real training and validation in Unity (by Unity-Technologies)
EasySynth
Unreal Engine plugin for easy creation of synthetic image datasets (by ydrive)
| com.unity.perception | EasySynth | |
|---|---|---|
| 8 | 3 | |
| 872 | 154 | |
| 1.1% | 5.2% | |
| 0.0 | 4.8 | |
| 11 months ago | about 1 month ago | |
| C# | C++ | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
com.unity.perception
Posts with mentions or reviews of com.unity.perception.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-22.
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Synthetic image Generation
Unity
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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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Help with Yolov4 Training and Synthetic Data
I see that you are already selected Unity for your AR app development, so you can go ahead and generate your data in Unity as well. They have an open source package to do that. Repo has tutorials to get you started and perception team is responsive to issues and questions.
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Unity provides People Generator & Home Interior Generator for Computer Vision tasks!
Check the Unity Perception Package here.
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How to generate images and labels using unity (or other game engine) to train YOLO5 object detection model? (Synthetic Data generation using unity for neural network learning). Are there any existing solutions? Or something similar
Hey, you can use Unity’s official Perception package. They have tutorials in the repo, but if you need more there are couple of tutorials on YT. If you don’t mind, what kind of images are you going to generate? I am developing a synthetic data generation tool for Unity, may I ask you couple of questions?
- Are there any tools to generate images and labels from 3d models/games?
- [D] Use of (machine learning + Game engines) for automatic 2D/3D content creation
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How to get started with synthetic data generation?
Using Unity: https://github.com/Unity-Technologies/com.unity.perception
EasySynth
Posts with mentions or reviews of EasySynth.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-22.
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Synthetic image Generation
Unreal
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Are there any tools to generate images and labels from 3d models/games?
Unreal: https://github.com/ydrive/EasySynth
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[TOOL] EasySynth - a plugin for easy creation of synthetic images
For more details check out the GitHub repo. We are working on making this plugin available for free in the marketplace. The current version only works with UE 4.26, but the update is coming.
What are some alternatives?
When comparing com.unity.perception and EasySynth you can also consider the following projects:
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment - This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.
kubric - A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
PeopleSansPeople - Unity's privacy-preserving human-centric synthetic data generator
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
unrealcv - UnrealCV: Connecting Computer Vision to Unreal Engine
com.unity.perception vs BlenderProc
EasySynth vs BlenderProc
com.unity.perception vs Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
EasySynth vs kubric
com.unity.perception vs PeopleSansPeople
com.unity.perception vs kubric
com.unity.perception vs SynthDet
com.unity.perception vs unrealcv