This is a Face Recognition Application - HR Check-in on iOS Device.
- Pre-train Model: Facenet https://github.com/davidsandberg/facenet
- Model for TensorFlow Lite: https://drive.google.com/file/d/1WjZ-rX-Jq0U08U5VefQ7XSC5Dc6RPitI/view
- Dataset: VGGFace2 https://drive.google.com/file/d/1EXPBSXwTaqrSC0OhUdXNmKSh9qJUQ55-/view?usp=drive_open
- Architecture: InceptionResnetV1 https://github.com/davidsandberg/facenet/blob/master/src/models/inception_resnet_v1.py
- Algorithms and Libraries:
- Swift for TensorFlow: https://www.tensorflow.org/swift
- Swift K-means Clustering https://github.com/raywenderlich/swift-algorithm-club/tree/master/K-Means
- Swift k-NN https://github.com/mmahler2/Swift-DTW-KNN
- Apple Vision: https://developer.apple.com/documentation/vision
- Apple CoreML: https://developer.apple.com/documentation/coreml
- Apple TuriCreate: https://github.com/apple/turicreate
- iOS 12.0 or later.
- Xcode 11 or later, Swift 5.
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Test device: iPhone X, iOS 14.2
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Number of people: 50 persons.
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Time taken: ~0.12 seconds.
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Accuracy: >= 90%
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Recognize Screen:
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Unknown Person:
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Predict Image Screen (two people):
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Predict Image Screen, Time Taken (1 person):
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Time Logs Screen:
pod install
pod update
Hồ Sĩ Tuấn - iOS Developer
Contact:
- Email: [email protected]
- Phone: +84983494681
- Country: VietNam
- Facebook: https://www.facebook.com/sytuann/
- Github: hosituanit
Contributor:
- Lâm Gia Khánh
Issues and pull requests are welcome! Feel free to folk and fix.
Please give me a star and reference link to my respository.
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