Showing 7 open source projects for "face recognize"

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  • 1
    MORPHEUS for Fiji

    MORPHEUS for Fiji

    A tool for unbiased and reproducible cell morphometry in Fiji/ImageJ2

    ...By this way, MORPHEUS is intended to be a useful tool to face the issue of reproducibility in bioimage analysis.
    Downloads: 0 This Week
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  • 2

    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: 3 This Week
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  • 3
    1>Face Recognition on real-time based. 2>shirt -color recognition on image based.
    Downloads: 0 This Week
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  • 4
    The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.
    Downloads: 0 This Week
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  • 5
    FaceIn! is a face recognizing log in application for Linux. You will never have to enter your password anymore! Just show your face to your camera and let the system recognize you and take you to your desktop!
    Downloads: 0 This Week
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  • 6
    wav2vec2-large-xlsr-53-russian

    wav2vec2-large-xlsr-53-russian

    Russian ASR model fine-tuned on Common Voice and CSS10 datasets

    ...The model supports both PyTorch and JAX and is compatible with the Hugging Face Transformers and HuggingSound libraries. It is ideal for Russian voice transcription tasks in research, accessibility, and interface development. The training was made possible with compute support from OVHcloud, and the training scripts are publicly available for replication.
    Downloads: 0 This Week
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  • 7
    Qwen2.5-VL-7B-Instruct

    Qwen2.5-VL-7B-Instruct

    Multimodal 7B model for image, video, and text understanding tasks

    Qwen2.5-VL-7B-Instruct is a multimodal vision-language model developed by the Qwen team, designed to handle text, images, and long videos with high precision. Fine-tuned from Qwen2.5-VL, this 7-billion-parameter model can interpret visual content such as charts, documents, and user interfaces, as well as recognize common objects. It supports complex tasks like visual question answering, localization with bounding boxes, and structured output generation from documents. The model is also...
    Downloads: 0 This Week
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