fast-slic | 20x Real-time superpixel SLIC Implementation with CPU | Computer Vision library

by Algy C++ Version: 0.4.0 License: MIT

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kandi X-RAY | fast-slic Summary

fast-slic is a C++ library typically used in Artificial Intelligence, Computer Vision, Tensorflow, OpenCV applications. fast-slic has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Fast-slic is a SLIC-variant algorithm implementation that aims for significantly low runtime with cpu. It runs 7-20 times faster than existing SLIC implementations. Fast-slic can process 1280x720 image stream at 60fps. It started as a part of my hobby project that demanded true "real time" capability in video stream processing. Among pipelines of it was a postprocessing pipeline smoothing the result of image with SLIC superpixels and CRF. Unfortunately, there were no satisfying library for real-time(>30fps) goal. gSLICr was the most promising candidate, but I couldn't make use of it due to limited hardware and inflexible license of CUDA. Therefore, I made the blazingly fast variant of SLIC using only CPU.

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fast-slic has a low active ecosystem.

It has 206 star(s) with 31 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 19 open issues and 8 have been closed. On average issues are closed in 41 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fast-slic is 0.4.0

Quality

fast-slic has 0 bugs and 5 code smells.

Security

fast-slic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fast-slic code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fast-slic is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

It has 596 lines of code, 41 functions and 10 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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fast-slic Key Features

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fast-slic Examples and Code Snippets

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Community Discussions

Trending Discussions on fast-slic

AttributeError: could not import keras and segmentation models

QUESTION

AttributeError: could not import keras and segmentation models

Asked 2021-Jul-02 at 05:33

I am trying to import segmentation models and keras and i am getting an attribute error, i am using tensor flow version 2.5.0

...

ANSWER

Answered 2021-Jul-02 at 05:33

I have solved my issue by adding tf.compat.v1.enable_eager_execution() to import and it works fine

Source https://stackoverflow.com/questions/68209795

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

Vulnerabilities

No vulnerabilities reported

Install fast-slic

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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