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Showing 12 open source projects for "dlib"

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  • 1
    dlib

    dlib

    Toolkit for making machine learning and data analysis applications

    Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is about...
    Downloads: 6 This Week
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  • 2
    dlib C++ Library
    Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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    Downloads: 118 This Week
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  • 3
    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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  • 4
    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google,...
    Downloads: 0 This Week
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  • 5
    Face Alignment

    Face Alignment

    2D and 3D Face alignment library build using pytorch

    ... dlib, BlazeFace, or pre-existing ground truth bounding boxes. While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage.
    Downloads: 0 This Week
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  • 6
    Pigo

    Pigo

    Fast face detection, pupil/eyes localization

    Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. Pigo is a pure Go face detection, pupil/eyes localization and facial landmark points detection library based on the Pixel Intensity Comparison-based Object detection paper. The reason why Pigo has been developed is because almost all of the currently existing solutions for face detection in the Go ecosystem are purely bindings to some C/C++ libraries like OpenCV or dlib, but calling a C program...
    Downloads: 0 This Week
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  • 7
    3DDFA

    3DDFA

    Fast, accurate and stable 3D dense face alignment

    This work extends 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. The supplementary material is here. The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2. Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability. Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c...
    Downloads: 0 This Week
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  • 8
    MITIE

    MITIE

    MITIE: library and tools for information extraction

    This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector...
    Downloads: 0 This Week
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  • 9

    dlib

    A selectable and portable c language library

    This library can only compile your needed modules, and it is portable on linux, windows and mac os.
    Downloads: 0 This Week
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  • 10
    Automated Optical Inspection for loaded PCB's using a webcam or, under linux, a Canon digital camera capable of remote capture based on OpenCV. Can be compiled for Linux or Windows. This project is dead, as haar training proved not to be a good approach. Anyway, there is a replacement which works, at https://bitbucket.org/guenterneust/examinator/wiki/Home based on dlib.
    Downloads: 0 This Week
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  • 11

    drows-detect

    This Program detects drowsiness by a person's face

    .... Inspiration: I have implemented all of this by looking at the Amazing Code-along by Adrian at PyImageSearch. I have just understood and implemented that. Running the Code: To run the code on your standard Python 3.6 Installation, you must install the dependencies by following this: pip install cmake pip install scipy numpy matplotlib scikit-learn pip install opencv-contrib-python pip install imutils pip install dlib pip install playsound
    Downloads: 0 This Week
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  • 12
    QJoystickManager

    QJoystickManager

    Simple joystick management system for Qt

    QJoystickManager is a cross platform joystick management system. Its written in C++ and uses SDL and the Qt framework. QJoystickManager strives to be as easy to use as possible, it implements many features that will ease the interaction between your program and the attached joysticks. This project uses Qt extensively, and as such users need to a have working knowledge of C++ and Qt basics (Signals and Slots and Qt data types).
    Downloads: 0 This Week
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