face-id
DeTeXt
face-id | DeTeXt | |
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1 | 1 | |
13 | 109 | |
- | - | |
2.6 | 6.9 | |
over 2 years ago | 3 months ago | |
Swift | Swift | |
MIT License | MIT License |
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.
face-id
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Face Similarity On iOS Using VGGFace CoreML Model
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....
DeTeXt
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DeTeXt - iOS, iPadOS and macOS app that can detect LaTeX commands from drawings. Open-source and built using SwiftUI
Here's the GitHub repo with all the source code for anyone curious and looking to learn.
What are some alternatives?
BackgroundRemoval - Background Removal written with swift using u2net model
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.
keras-vggface - VGGFace implementation with Keras Framework
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"
iOS 11 by Examples - 👨🏻💻 Examples of new iOS 11 APIs
AOperation - A Wrapper on NSOperation, which Makes using of NSOperation More Efficient
NSFWDetector - A NSFW (aka porn) detector with CoreML
CombineCloudKit - 🌤 Swift Combine extensions for reactive CloudKit record processing
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.
iowncode - A curated collection of iOS, ML, AR resources sprinkled with some UI additions
Lumina - A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features