Showing 5 open source projects for "facial expression recognition"

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  • 1
    deepface

    deepface

    A Lightweight Face Recognition and Facial Attribute Analysis

    DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace and GhostFaceNet. Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level.
    Downloads: 28 This Week
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  • 2
    face.evoLVe

    face.evoLVe

    High-Performance Face Recognition Library on PaddlePaddle & PyTorch

    face.evoLVe is a high-performance face recognition library designed for research and real-world applications in computer vision. The project provides a comprehensive framework for building and training modern face recognition models using deep learning architectures. It includes components for face alignment, landmark localization, data preprocessing, and model training pipelines that allow developers to construct end-to-end facial recognition systems. ...
    Downloads: 0 This Week
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  • 3
    DCVGAN

    DCVGAN

    DCVGAN: Depth Conditional Video Generation, ICIP 2019.

    This paper proposes a new GAN architecture for video generation with depth videos and color videos. The proposed model explicitly uses the information of depth in a video sequence as additional information for a GAN-based video generation scheme to make the model understands scene dynamics more accurately. The model uses pairs of color video and depth video for training and generates a video using the two steps. Generate the depth video to model the scene dynamics based on the geometrical...
    Downloads: 0 This Week
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  • 4
    NeuroNER

    NeuroNER

    Named-entity recognition using neural networks

    Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks.
    Downloads: 0 This Week
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  • 5

    Face Recognition

    World's simplest facial recognition api for Python & the command line

    ...It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries.
    Downloads: 9 This Week
    Last Update:
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