Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
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Lenses are composable functional references. They allow accessing and modifying data within a structure.
This is a bifunctor library for Idris based off the excellent Haskell Bifunctors package from Edward Kmett.
The GNU idutils package includes tools to create an index of textual tokens used in a list of file names and then to query that index. Thus, it allows the user to, for example, find all the uses of a particular function in a large programming project. In addition to handling textual tokens, it can also handle numeric constants and the contents of character strings.
VXL (the Vision-something-Libraries) is a collection of C++ libraries designed for computer vision research and implementation.
The CImg Library is a small C++ toolkit for image processing. It is made of a single header file CImg.h that can be compiled using a minimal set of standard C++ and system libraries. It includes a plugin mechanism to extend its functionality with external tools and libraries.
Metapixel is a program for generating photomosaics. It can generate classical photomosaics, in which the source image is viewed as a matrix of equally sized rectangles for each of which a matching image is substituted, as well as collage-style photomosaics, in which rectangular parts of the source image at arbitrary positions (i.e. not aligned to a matrix) are substituted by matching images.
The vtkdiff tool shall provide means of numerical comparison of different data arrays similar to those available in the numdiff software.
ParaView is a VTK-based, parallel data analyzer and visualizer which allows exploring data interactively in 3D or programmatically.
OpenCV is a library aimed at real-time computer vision, including several hundred computer vision algorithms. It can be used to do things like:
image and video input and output
image and video processing
displaying
feature recognition
segmentation
facial recognition
stereo vision
structure from motion
augmented reality
machine learning
This package includes the Python bindings for OpenCV, which are also known as the OpenCV-Python library.
CharLS is a codec library that can be used to build applications that can handle JPEG-LS compliant images. In the application you are writing you can call the CharLS codec and pass it images (sometimes called raster bitmaps), to have them encoded to JPEG-LS, or JPEG-LS streams, which CharLS will decode to images.
G'MIC is a full-featured framework for digital image processing. It provides several user interfaces to convert / manipulate / filter / visualize generic image datasets, ranging from 1D scalar signals to 3D+t sequences of multi-spectral volumetric images, hence including 2D color images.
This package provide a graphical user interface (GUI) for the VIPS image processing library. It's a little like a spreadsheet: you create a set of formula connecting your objects together, and on a change nip2 recalculates.
This package implements a multi-dimensional spatial image data structure for scientific Python.
To facilitate:
Multi-scale processing and analysis
Registration
Resampling
Subregion parallel processing
Coupling with meshes, point sets, and annotations
with scientific images, which are typically multi-dimensional with anisotropic sampling, this package provides a spatial-image data structure. In addition to an N-dimensional array of pixel values, spatial metadata defines the location of the pixel sampling grid in space time. It also labels the array dimensions. This metadata is easily utilized and carried through image processing pipelines.
The Insight Toolkit (ITK) is a toolkit for N-dimensional scientific image processing, segmentation, and registration. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.
Scientific video can be packaged in various ways: familiar video formats like .AVI and .MOV, folders full of numbered images, or "stacks" of TIFF images. Each of these requires a separate Python module. And, once loaded, they have different methods for accessing individual images, looping through the images in bulk, accessing a specific range, or dealing with multidimensional files. PIMS can do all of these using a consistent interface, handling the differences between different inputs invisibly.
Scan Tailor is an interactive post-processing tool for scanned pages. It performs operations such as page splitting, deskewing, adding/removing borders, and others. You give it raw scans, and you get pages ready to be printed or assembled into a PDF or DJVU file. Scanning, optical character recognition, and assembling multi-page documents are out of scope of this project.
Scan Tailer Advanced is a fork of Scan Tailer that merges Scan Tailor Featured and Scan Tailor Enhanced versions as well as including many more bug fixes.
G'MIC is a full-featured framework for digital image processing. It provides several user interfaces to convert / manipulate / filter / visualize generic image datasets, ranging from 1D scalar signals to 3D+t sequences of multi-spectral volumetric images, hence including 2D color images.
AnsiLove is an ANSI and ASCII art to PNG converter, allowing to convert ANSI and artscene-related file formats into PNG images, supporting ANSI (.ANS), PCBoard (.PCB), Binary (.BIN), Artworx (.ADF), iCE Draw (.IDF), Tundra (.TND) and XBin (.XB) formats.
OpenColorIO, or OCIO, is a complete color management solution geared towards motion picture production, with an emphasis on visual effects and computer animation. It provides a straightforward and consistent user experience across all supporting applications while allowing for sophisticated back-end configuration options suitable for high-end production usage.
OCIO is compatible with the ACES and is LUT-format agnostic, supporting many popular formats.
DCMTK is a collection of libraries and applications implementing large parts the DICOM standard. It includes software for examining, constructing and converting DICOM image files, handling offline media, sending and receiving images over a network connection, as well as demonstrative image storage and worklist servers.
VIPS is a demand-driven, horizontally threaded image processing library. It's particularly good at processing large images, working with colour, scientific analysis, and general research & development.
Compared to most image processing libraries VIPS needs little RAM and runs quickly, especially on machines with more than one CPU core. This is primarily due to its architecture which automatically parallelises the image workflows.
The Visualization Toolkit (VTK) is a C++ library for 3D computer graphics, image processing and visualization. It supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk.
G'MIC is a full-featured framework for digital image processing. It provides several user interfaces to convert / manipulate / filter / visualize generic image datasets, ranging from 1D scalar signals to 3D+t sequences of multi-spectral volumetric images, hence including 2D color images.
Python library for object detection, semantic and instance segmentation.