enebin/Mentalist
Read emotion with a line of code ðŸŽ
Quickly understand the dominant emotion on faces in a picture. This tool takes an image containing one or more faces and tells you which of seven emotions (happy, angry, disgust, fear, sad, surprise, neutral) is most prominent for each person. Mobile app developers can use this to add emotion recognition to their iOS applications.
No commits in the last 6 months.
Use this if you are an iOS app developer looking to integrate fast, on-device emotion detection from images into your mobile application.
Not ideal if you need extremely high accuracy for critical decisions or are working outside of the Apple mobile ecosystem.
Stars
18
Forks
4
Language
Swift
License
MIT
Category
Last pushed
Jan 02, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/enebin/Mentalist"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
apple/coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
hollance/YOLO-CoreML-MPSNNGraph
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
tensorflow/swift-apis
Swift for TensorFlow Deep Learning Library
hollance/Forge
A neural network toolkit for Metal
hanleyweng/CoreML-in-ARKit
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic...