DeTeXt vs face-id

DeTeXt

iOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater). (by venkatasg)

Source Code

venkatasg.net

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face-id

Finding similar faces on iOS device using keras-vggface ML model. (by pavel-zh)

iOS Swift Coreml

Source Code

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DeTeXt		face-id
	Project
1	Mentions	1
109	Stars	13
-	Growth	-
6.9	Activity	2.6
4 months ago	Latest Commit	over 2 years ago
Swift	Language	Swift
MIT License	License	MIT License

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.

DeTeXt

Posts with mentions or reviews of DeTeXt. We have used some of these posts to build our list of alternatives and similar projects.

DeTeXt - iOS, iPadOS and macOS app that can detect LaTeX commands from drawings. Open-source and built using SwiftUI
1 project | /r/SwiftUI | 21 Sep 2021

Here's the GitHub repo with all the source code for anyone curious and looking to learn.

face-id

Posts with mentions or reviews of face-id. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-12.

Face Similarity On iOS Using VGGFace CoreML Model
2 projects | /r/iOSProgramming | 12 Nov 2021

Also weights of model are quantised. In majority of cases it's better to retrain model rather than to "reduce", interpolate final coefficients. VGGFace based on ResNet50 was reduced from 59 to 15 MB after quantization. Found similar project on GitHub(Face-Id), big applause to the author....

What are some alternatives?

When comparing DeTeXt and face-id you can also consider the following projects:

CombineExt - CombineExt provides a collection of operators, publishers and utilities for Combine, that are not provided by Apple themselves, but are common in other Reactive Frameworks and standards.

BackgroundRemoval - Background Removal written with swift using u2net model

MakeItSo - This is the source code for Make It So, the sample app accompanying my blog post "Replicating the iOS Reminders App Using SwiftUI and Firebase"

keras-vggface - VGGFace implementation with Keras Framework

AOperation - A Wrapper on NSOperation, which Makes using of NSOperation More Efficient

iOS 11 by Examples - 👨🏻‍💻 Examples of new iOS 11 APIs

CombineCloudKit - 🌤 Swift Combine extensions for reactive CloudKit record processing

NSFWDetector - A NSFW (aka porn) detector with CoreML

iowncode - A curated collection of iOS, ML, AR resources sprinkled with some UI additions

CoreML-in-ARKit - Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.

Lumina - A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features