TextRecognitionDataGenerator
A synthetic data generator for text recognition (by Belval)
zpy
Synthetic data for computer vision. An open source toolkit using Blender and Python. (by ZumoLabs)
TextRecognitionDataGenerator | zpy | |
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1 | 9 | |
3,043 | 288 | |
- | 0.0% | |
5.1 | 0.0 | |
3 months ago | over 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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.
TextRecognitionDataGenerator
Posts with mentions or reviews of TextRecognitionDataGenerator.
We have used some of these posts to build our list of alternatives
and similar projects.
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[D] How to generate syntactically correct text examples for CRNN-CTC
[1]: https://github.com/Belval/TextRecognitionDataGenerator
zpy
Posts with mentions or reviews of zpy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-11.
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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
What are some alternatives?
When comparing TextRecognitionDataGenerator and zpy you can also consider the following projects:
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
retopoflow - A suite of retopology tools for Blender