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Instant AI diabetic retinopathy diagnosis with handheld or tabletop cameras.

A fast image processing library with low memory needs.

libvips is a demand-driven, horizontally threaded image processing library designed for speed and low memory usage. It supports a wide range of operations including arithmetic, histograms, convolution, morphological operations, frequency filtering, color manipulation, resampling, and statistics. It handles numerous numeric types, from 8-bit integers to 128-bit complex numbers, and images with any number of bands. The library supports formats like JPEG, PNG, WebP, HEIC, AVIF, TIFF, and others, and can interface with ImageMagick or GraphicsMagick for additional format support such as DICOM. libvips offers bindings for C, C++, Ruby, Python, PHP, .NET, Go, Lua, Crystal, Elixir, Java, and Nim. It's used by projects like Mastodon, sharp, and Ruby on Rails for image processing tasks, providing efficient and scalable solutions.
libvips is a demand-driven, horizontally threaded image processing library designed for speed and low memory usage.
Explore all tools that specialize in convert image formats. This domain focus ensures libvips delivers optimized results for this specific requirement.
Explore all tools that specialize in apply image filters. This domain focus ensures libvips delivers optimized results for this specific requirement.
Explore all tools that specialize in image analysis. This domain focus ensures libvips delivers optimized results for this specific requirement.
libvips only computes what is needed to generate the output image. This means that if you only need a thumbnail, it won't process the entire original image.
libvips automatically spreads image processing tasks across all available CPU cores, maximizing throughput.
Supports a wide array of image formats including JPEG, PNG, WebP, TIFF, HEIC, AVIF, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM / PGM / PFM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide.
Provides bindings for C, C++, Ruby, Python, PHP, .NET, Go, Lua, Crystal, Elixir, Java, and Nim, enabling integration with a variety of programming languages.
The official libvips GUI is nip2, a combination of a spreadsheet and a photo editor, allowing users to visually process and manipulate images.
libvips supports true streaming, allowing it to process images larger than available RAM by reading and writing data in chunks.
1. Download the libvips source code or pre-compiled binaries from the official website.
2. Install libvips using your operating system's package manager (e.g., Homebrew on macOS, apt on Linux).
3. Ensure that necessary dependencies like the C compiler and build tools are installed.
4. Configure the build environment using the appropriate flags for your system.
5. Compile and link libvips into your project using the provided C, C++, or language bindings.
6. Write code to load, process, and save images using the libvips API.
7. Consult the official documentation for specific function calls and options.
8. Test the integration by processing sample images and verifying the results.
9. Optimize image processing pipelines by leveraging libvips's demand-driven and horizontally threaded architecture.
All Set
Ready to go
Verified feedback from other users.
"libvips is lauded for its speed, low memory footprint, and extensive format support, making it a preferred choice for high-performance image processing tasks."
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Instant AI diabetic retinopathy diagnosis with handheld or tabletop cameras.
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