Showing 4 open source projects for "wavelets image processing"

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  • 1
    scikit-image

    scikit-image

    Image processing in Python

    scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image builds on scipy.ndimage to provide a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome!
    Downloads: 6 This Week
    Last Update:
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  • 2
    QUCAS-PDP Astronomical Image Framework

    QUCAS-PDP Astronomical Image Framework

    NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20

    ...Academic users at partner institutions (MTSU) are currently performing validation; all other commercial inquiries must contact the author QCI AstroEntangle Refiner – FDM soliton physics & image processing Magnetar QED Explorer – Magnetar fields, dark photons & vacuum QED Primordial Photon–DarkPhoton Entanglement – Von Neumann evolution in an expanding universe QCIS (Quantum Cosmology Integration Suite) – Quantum‑corrected cosmological perturbations 🔭 Overview These four projects form a complete computational framework for quantum‑inspired astrophysics. ...
    Downloads: 0 This Week
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  • 3
    AiHound

    AiHound

    AI powered image classification for nudity and documents / id-cards

    AI Hound is designed to run from an USB pendrive or any other kind of removeable and writeable media. The programm checks all Office-documents, Images and videos for various categories for images. Actually It can recognice nudity/porn and scanned or photographed documents / ID- and credit-cards. I am working on a model that also recognice various types of drugs in images.
    Downloads: 6 This Week
    Last Update:
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  • 4
    LabelImg

    LabelImg

    Graphical image annotation tool and label object bounding boxes

    LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet. Besides, it also supports YOLO and CreateML formats. Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8. However, Python 3 or above and PyQt5 are strongly recommended. Virtualenv can avoid a lot of the QT / Python version issues. Build and launch using the...
    Downloads: 88 This Week
    Last Update:
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