Showing 13 open source projects for "image registration"

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  • 1
    VoxelMorph

    VoxelMorph

    Unsupervised Learning for Image Registration

    VoxelMorph is an open-source deep learning framework designed for medical image registration, a process that aligns multiple medical scans into a common spatial coordinate system. Traditional image registration techniques typically rely on optimization procedures that must be executed separately for each pair of images, which can be computationally expensive and slow. VoxelMorph approaches the problem using neural networks that learn to predict deformation fields that transform one image so that it aligns with another. ...
    Downloads: 0 This Week
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  • 2
    This is an image registration plug-in for Gimp. Image registration (also known as image alignment) is the process of transforming one image so that it best matches another image. This is especially useful when you want to combine two or more images that are similar but geometrically misaligned. Visit the project web page at https://gimp-image-reg.sourceforge.io for detailed information on installing and using the plug-in. ...
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    Downloads: 5 This Week
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  • 3
    Map-Anything

    Map-Anything

    MapAnything: Universal Feed-Forward Metric 3D Reconstruction

    Map-Anything is a universal, feed-forward transformer for metric 3D reconstruction that predicts a scene’s geometry and camera parameters directly from visual inputs. Instead of stitching together many task-specific models, it uses a single architecture that supports a wide range of 3D tasks—multi-image structure-from-motion, multi-view stereo, monocular metric depth, registration, depth completion, and more. The model flexibly accepts different input combinations (images, intrinsics, poses, sparse or dense depth) and produces a rich set of outputs including per-pixel 3D points, camera intrinsics, camera poses, ray directions, confidence maps, and validity masks. ...
    Downloads: 5 This Week
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  • 4
    ModelScope

    ModelScope

    Bring the notion of Model-as-a-Service to life

    ModelScope is built upon the notion of “Model-as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. The core ModelScope library open-sourced in this repository provides the interfaces and implementations that allow developers to perform model inference, training and evaluation. In particular, with rich layers of API abstraction, the ModelScope library offers...
    Downloads: 9 This Week
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  • 5
    Flask App Builder

    Flask App Builder

    Simple and rapid application development framework

    ...Inserts on the Database all the detailed permissions possible on your application. Public (no authentication needed) and Private permissions. Role-based permissions. Authentication support for OpenID, Database and LDAP. Support for self-user registration. Automatic, Add, Edit, and Show from Database Models. Labels and descriptions for each field. Automatic base validators from the model's definition. Custom validators, extra fields, and custom filters for related dropdown lists. Image and File support for upload and database field association. Field sets for Forms (Django style).
    Downloads: 0 This Week
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  • 6
    Insight Toolkit
    Insight Toolkit (ITK). ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions. New location: https://github.com/InsightSoftwareConsortium/ITK
    Downloads: 0 This Week
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  • 7
    MITK Workbench
    The MITK Workbench is a free, open-source application for medical image visualization, segmentation, registration, and much more. Beyond the Workbench application, MITK is a comprehensive C++ framework for medical image computing. It provides a modular foundation for extending the MITK Workbench with custom plugins or developing your own medical imaging applications and research prototypes.
    Downloads: 2 This Week
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  • 8
    Rickrack (Color Palette Generator)

    Rickrack (Color Palette Generator)

    Generate Harmonious Colors Freely.

    Rickrack is a free and user-friendly color editor. It is designed to generate a set of harmonious colors from the color wheel or other places. You can share these colors with your friends, or apply them into your creative works. What’s more, you can export them into individual files and import them into other softwares such as Adobe Photoshop, GIMP, Krita, Pencil 2D and Clip Studio Paint.
    Downloads: 10 This Week
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  • 9
    Django REST Framework User

    Django REST Framework User

    This Django User Model is customised user model

    ...REST API to login with OTP (Same API endpoint as for OTP Verification; Set is_login: true while sending JSON request). OTP Verification for mobile and email, API to register / login with OTP (no pre-registration required) API to set user’s profile image. Mail-sending feature upon successful registration. SMS sending feature upon successful registration. Change password, update profile, and generic configuration based on settings.py.
    Downloads: 0 This Week
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  • 10

    photogallery

    Simple django project for upload image and views

    Simple django project for upload image and views. It is a simple photo gallery with registration
    Downloads: 0 This Week
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  • 11

    SimpleElastix

    Medical Image Registration Library

    SimpleElastix is an extension of SimpleITK that comes with the elastix C++ image registration library. This makes state-of-the-art medical image registration really easy to do in languages like Python, Java, C# and R.
    Downloads: 0 This Week
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  • 12
    Medical Image Computing Workflow (MICFlow) is a simple, easy but flexible, extensible and powerful workflow system to automate medical image computing tasks such as segmentation, registration and analysis. It's pure Python so can be used on any platform
    Downloads: 0 This Week
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  • 13
    The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical image data. Follow the link for more info: http://slicer.org
    Downloads: 0 This Week
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