YOLO-CoreML-MPSNNGraph | Tiny YOLO for iOS implemented using CoreML | Machine Learning library

by hollance Swift Version: Current License: MIT

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

kandi X-RAY | YOLO-CoreML-MPSNNGraph Summary

YOLO-CoreML-MPSNNGraph is a Swift library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. YOLO-CoreML-MPSNNGraph has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

Support

Quality

Security

License

Reuse

Support

YOLO-CoreML-MPSNNGraph has a medium active ecosystem.

It has 901 star(s) with 247 fork(s). There are 40 watchers for this library.

It had no major release in the last 6 months.

There are 26 open issues and 43 have been closed. On average issues are closed in 136 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of YOLO-CoreML-MPSNNGraph is current.

Quality

YOLO-CoreML-MPSNNGraph has no bugs reported.

Security

YOLO-CoreML-MPSNNGraph has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

YOLO-CoreML-MPSNNGraph 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

YOLO-CoreML-MPSNNGraph 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.

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YOLO-CoreML-MPSNNGraph Key Features

No Key Features are available at this moment for YOLO-CoreML-MPSNNGraph.

YOLO-CoreML-MPSNNGraph Examples and Code Snippets

No Code Snippets are available at this moment for YOLO-CoreML-MPSNNGraph.

Community Discussions

Trending Discussions on YOLO-CoreML-MPSNNGraph

Is there a way to connect my YOLO v3 model to my webcam?

Combining CoreML and ARKit

QUESTION

Is there a way to connect my YOLO v3 model to my webcam?

Asked 2019-May-30 at 18:11

I'm following this GitHub repo on yolo_v3 using TensorFlow. The code runs smoothly on single images (images I'm loading from my computer), but I'm trying to connect the model to my webcam.

I tried to look into OpenCV tutorial on capturing a video from camera, but I can't figure out how to combine that with the statement that starts a TensorFlow session to run my model:

...

ANSWER

Answered 2019-May-30 at 18:11

in the link you provided the frame is the image you need to feed to yolo. You could place the whole while true from the link into the session and just process frame by frame by running:

Source https://stackoverflow.com/questions/56330478

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 YOLO-CoreML-MPSNNGraph

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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