Showing 4 open source projects for "face recognition using python"

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    sherpa-onnx

    sherpa-onnx

    Speech-to-text, text-to-speech, and speaker recognition

    Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter.
    Downloads: 115 This Week
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  • 2
    PiRobot

    PiRobot

    Python Touchscreen App Infrastructure with example Apps

    An "Application" infrastructure in Python using pygame for the graphics, developed for touch screen displays used with Raspberry Pi. Look at the wiki for further information. It has several game Apps included. --> Simple drawing App --> Chess for two players. --> Mill Game for two players. --> Checkers game for two players. --> Tic Tac Toe for two players --> Breakout for one player --> Monopoly for up to 9 players in development. Add your apps easily (to the code), create...
    Downloads: 0 This Week
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  • 3
    Face Mask Detection

    Face Mask Detection

    Face Mask Detection system based on computer vision and deep learning

    Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential...
    Downloads: 0 This Week
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  • 4

    Face Recognition

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

    Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things.
    Downloads: 5 This Week
    Last Update:
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