Face, Age and Emotion Detection

Version 2.0.1 (975 ko) par Lucas García
Demo for face, age and emotion detection (all using Deep Learning) and leveraging the capability to import Caffe models in MATLAB.
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Mise à jour 21 avr. 2020

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Demo for performing face, age and emotion detection leveraging pretrained networks from research and the capability to import Caffe models in MATLAB.

Note: If your license includes MATLAB Coder and GPU Coder, you will be able to improve inference performance by generating CUDA code (in the form of MEX files) for each of the predict functions. Review README file for instructions.

References to pretrained models:
[1] Abars, Face Search VGG16, (2018). GitHub repository, https://github.com/abars/FaceSearchVGG16
[2] Rasmus Rothe, Radu Timofte and Luc Van Gool, (2016). Deep expectation of real and apparent age from a single image without facial landmarks. International Journal of Computer Vision (IJCV).
[3] Jia, Yangqing, et al., (2014). "Caffe: Convolutional architecture for fast feature embedding." Proceedings of the 22nd ACM international conference on Multimedia. ACM.

Citation pour cette source

Lucas García (2024). Face, Age and Emotion Detection (https://www.mathworks.com/matlabcentral/fileexchange/71819-face-age-and-emotion-detection), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2019b
Compatible avec les versions R2019b et ultérieures
Plateformes compatibles
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Version Publié le Notes de version
2.0.1

- Updated MATLAB Release Compatibility
2.0.0

- Enhancing detection and tracking using computer vision techniques
- Enhanced emotion detection
- Included version to deploy on Jetson boards
1.0.0