Core-ML-Sample | Demo using Vision Framework building on Core ML | Machine Learning library

by yulingtianxia Swift Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Core-ML-Sample Summary

Core-ML-Sample is a Swift library typically used in Artificial Intelligence, Machine Learning applications. Core-ML-Sample has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A Demo using Vision Framework building on Core ML Framework

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Quality

Security

License

Reuse

Support

Core-ML-Sample has a low active ecosystem.

It has 210 star(s) with 48 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Core-ML-Sample is current.

Quality

Core-ML-Sample has 0 bugs and 0 code smells.

Security

Core-ML-Sample has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Core-ML-Sample code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Core-ML-Sample 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

Core-ML-Sample releases are not available. You will need to build from source code and install.

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Core-ML-Sample Key Features

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Core-ML-Sample Examples and Code Snippets

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Community Discussions

Trending Discussions on Core-ML-Sample

Combining CoreML and ARKit

QUESTION

Combining CoreML and ARKit

Asked 2017-Jul-25 at 19:51

I am trying to combine CoreML and ARKit in my project using the given inceptionV3 model on Apple website.

I am starting from the standard template for ARKit (Xcode 9 beta 3)

Instead of intanciating a new camera session, I reuse the session that has been started by the ARSCNView.

At the end of my viewDelegate, I write:

...

ANSWER

Answered 2017-Jul-21 at 03:35

Don't process images yourself to feed them to Core ML. Use Vision. (No, not that one. This one.) Vision takes an ML model and any of several image types (including CVPixelBuffer) and automatically gets the image to the right size and aspect ratio and pixel format for the model to evaluate, then gives you the model's results.

Here's a rough skeleton of the code you'd need:

Source https://stackoverflow.com/questions/45221746

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

Vulnerabilities

No vulnerabilities reported

Install Core-ML-Sample

You can download it from GitHub.

Support

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