ZHThinker/RealTime-Face-Eye-Identifier

🤖 Track faces and eyes in real-time with this high-performance Python and OpenCV application, featuring dynamic identity labeling and a sleek interface.

33
/ 100
Emerging

This project helps iOS developers manage network requests efficiently. It allows you to send multiple network requests (e.g., to fetch weather data) and ensures that only the first or the last response is kept and processed, preventing unnecessary updates or conflicts. This is ideal for app developers building mobile applications that frequently interact with web services.

Use this if you are an iOS developer needing to control the concurrency and outcomes of multiple, rapidly-fired network requests, specifically for AFNetworking.

Not ideal if you need to process every network response or are not working with the AFNetworking framework in an iOS environment.

iOS-development mobile-app-development network-request-management AFNetworking concurrency-control
No Package No Dependents
Maintenance 13 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

7

Forks

Language

Objective-C

License

MIT

Last pushed

Mar 19, 2026

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ZHThinker/RealTime-Face-Eye-Identifier"

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