Showing 4 open source projects for "vision"

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    Metalhead.jl

    Metalhead.jl

    Computer vision models for Flux

    Metalhead.jl provides standard machine learning vision models for use with Flux.jl. The architectures in this package make use of pure Flux layers, and they represent the best practices for creating modules like residual blocks, inception blocks, etc. in Flux. Metalhead also provides some building blocks for more complex models in the Layers module.
    Downloads: 0 This Week
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    CoordinateTransformations.jl

    CoordinateTransformations.jl

    A fresh approach to coordinate transformations

    ...Transformations are designed to be light-weight and efficient enough for, e.g., real-time graphical applications, while support for both explicit and automatic differentiation makes it easy to perform optimization and therefore ideal for computer vision applications such as SLAM (simultaneous localization and mapping).
    Downloads: 0 This Week
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  • 3
    FastAI.jl

    FastAI.jl

    Repository of best practices for deep learning in Julia

    ...It equips you with reusable components for every part of your project while remaining customizable at every layer. FastAI.jl comes with support for common computer vision and tabular data learning tasks, with more to come.
    Downloads: 0 This Week
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  • 4
    Flux3D.jl

    Flux3D.jl

    3D computer vision library in Julia

    Flux3D.jl is a 3D vision library, written completely in Julia. This package utilizes Flux.jl and Zygote.jl as its building blocks for training 3D vision models and for supporting differentiation. This package also have support of CUDA GPU acceleration with CUDA.jl.
    Downloads: 0 This Week
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