synthetic-dataset | driving simulator based on VDrift | Computer Vision library

by haltakov C++ Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | synthetic-dataset Summary

synthetic-dataset is a C++ library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. synthetic-dataset has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

A driving simulator based on [VDrift] for generating synthetic ground truth data for stereo, optical flow and semantic segmentation.

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synthetic-dataset has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

synthetic-dataset has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of synthetic-dataset is current.

Quality

synthetic-dataset has no bugs reported.

Security

synthetic-dataset has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

synthetic-dataset is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

synthetic-dataset releases are not available. You will need to build from source code and install.

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synthetic-dataset Key Features

No Key Features are available at this moment for synthetic-dataset.

synthetic-dataset Examples and Code Snippets

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Community Discussions

Trending Discussions on synthetic-dataset

Is there any good open source image dataset generation software?

Saving oversampled dataset as csv file in pandas

QUESTION

Is there any good open source image dataset generation software?

Asked 2021-Jan-30 at 13:29

I'm looking for services or scripts that can help to generate images for computer vision machine learning tasks. Not something like this where they just put together several layers of objects over other objects but more a like a 3D generation of objects in different environments.

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ANSWER

Answered 2021-Jan-30 at 13:29

I'm not aware of an out-of-the-box solution where you can create arbitrary objects and environments but if you are fine using Blender, here is an example how you can use Blender to automatically create images as a training set for machine learning algorithms.

Source https://stackoverflow.com/questions/65966407

QUESTION

Saving oversampled dataset as csv file in pandas

Asked 2020-Oct-10 at 21:06

I am new to Python and apologize in advance, if it is too simple. Cannot find anything and this question did not help.

My code is

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ANSWER

Answered 2020-Oct-10 at 21:06

You may create dataframe:

Source https://stackoverflow.com/questions/63556933

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install synthetic-dataset

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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