Search Results for "hdr"
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Showing 5 open source projects for "hdr"
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libplacebo
Official mirror of libplacebo
libplacebo is a flexible, high-performance graphics library built on top of Vulkan, designed to provide reusable GPU-accelerated components for media applications. It originated as a core part of the rendering pipeline for the mpv media player and has since grown into a standalone library used for tone mapping, dithering, color space conversion, and more. libplacebo is ideal for developers looking to integrate sophisticated video rendering and post-processing into their own applications with... -
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libvips
A fast image processing library with low memory needs
...Images can have any number of bands. It supports a good range of image formats, including JPEG, JPEG2000, JPEG-XL, TIFF, PNG, WebP, HEIC, AVIF, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM / PGM / PFM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick, letting it work with formats like DICOM. It comes with bindings for C, C++, and the command-line. Full bindings are available for Ruby, Python, PHP, C# / .NET, Go, and Lua. -
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ResIL
Resilient Image Library - successor to DevIL
ResIL is a library to open, store and manipulate images, with a focus on security. ResIL offers a simple API for these operations. ResIL also receives frequent updates to keep up with the evolution of the supported file formats. It started as a fork of DevIL but much of the code base has actually been rewritten to enhance stability. Support for webp and heic has been added. ResIL focuses on robust decoding so that even partially corrupted images can be displayed without crashes or exceptions. -
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Vampyre Imaging Library
Image library for Object Pascal.
Imaging is native Object Pascal (Delphi and FPC) image loading, saving and manipulation library. It is available for several platforms and does not require any third party dynamic libraries. -
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Replica Dataset
High-fidelity indoor 3D dataset for AI simulation and robotics
Replica Dataset is a high-quality 3D dataset of realistic indoor environments designed to advance research in computer vision, robotics, and embodied AI. Developed by Facebook Research (now Meta AI), it features accurate geometric reconstructions, high-resolution and high dynamic range textures, and comprehensive semantic annotations. Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and...
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