Search Results for "images"
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Showing 22 open source projects for "images"
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bild
Image processing algorithms in pure Go
...All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. Package parallel provides helper functions for the dispatching of parallel jobs. -
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Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification tasks. ... -
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Image Harmonization Dataset iHarmony4
The first large-scale public benchmark dataset for image harmonization
...Image harmonization involves adjusting the appearance of a foreground in a composite image so that it is consistent with the background (in color, tone, illumination, etc.). The iHarmony4 dataset comprises four sub-datasets (HCOCO, HAdobe5k, HFlickr, Hday2night), each making composite images by combining a foreground from one image with a background from another, along with associated ground truth harmonized images and foreground masks. The dataset is intended as a benchmark resource to enable and standardize research in image harmonization. Each composite sample has: composite image, foreground mask, and corresponding real harmonized image. -
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UoMASM
A C++ Active Shape Model Library from the University of Manchester
A library and associated tools for building and searching with Active Shape Models (ASM). It builds on the VXL computer vision libraries. Includes a GUI tool to search new images with the ASM. Depends on: VXL, Qt (Version 4), UoMqVXL -
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Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms
...It emphasizes usability with utilities that handle alpha channels, gray/16-bit images, and tiled inference for large inputs, and can be run via Python scripts or portable executables. -
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Real-ESRGAN ncnn Vulkan
NCNN implementation of Real-ESRGAN
...Unlike the standard PyTorch-based Real-ESRGAN code, this variant is written in C/C++ and designed to run efficiently on many platforms (including Windows, Linux, and possibly Android) without requiring heavy frameworks like CUDA or Python. It provides command-line tools for upscaling images with selected models, allowing users to specify input/output paths, scaling factors, tile sizes, and model names from a compressed model set, which is particularly helpful for larger images or automated workflows. The Vulkan backend enables fast execution on GPUs from different vendors (Intel/AMD/Nvidia) with broad support, making it suitable for non-Python environments, production systems, or performance-constrained setups. -
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Anime4K
Anime4K is an open-source, high-quality anime upscaling algorithm
SISR algorithm designed to work with Japanese animation and cartoons to generate high-resolution images from a low-resolution input. -
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libPGF
libPGF is an implementation of the Progressive Graphics File (PGF)
The Progressive Graphics File (PGF) is an efficient image file format, that is based on a fast, discrete wavelet transform with progressive coding features. PGF can be used for lossless and lossy compression. It's most suitable for natural images. PGF can be used as a very efficient and fast replacement of JPEG 2000. -
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Omniglot
Omniglot data set for one-shot learning
This repository hosts the Omniglot dataset for one-shot learning, containing handwritten characters across multiple alphabets along with stroke data. It includes both MATLAB and Python starter scripts (e.g. demo.m, demo.py) to illustrate how to load the images and stroke sequences and run baseline experiments (such as classification by modified Hausdorff distance). The dataset provides both an image representation of each character and the time-ordered stroke coordinates ([x, y, t]) for each instance. Includes stroke data (time-sequenced coordinates) per sample. The repository is intended as a benchmark dataset in few-shot / meta-learning research, not as a plug-and-play detection or classification engine. ... -
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tracking.js
A modern approach for Computer Vision on the web
The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The... -
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Utah Raster Toolkit
The Utah Raster Toolkit 3.0, patchlevel 2
...RLE format supports a great number of raw inner formats for applications to use, known together as .rle (ie, "stored windowing") ~~~ The Utah Raster toolkit is a collection of programs and C routines for dealing with raster images commonly encountered in computer graphics. It provides the following major functions: * A device and system independent image format for storing images and information about them. Called the RLE format, it uses run length encoding to reduce storage space for most images. * A library of C routines for reading, writing and manipulating images stored in the RLE format... -
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Line Integration Convolution
Line integral convolution is a technique to visualize vector fields.
Line integral convolution (LIC) is a technique to visualize vector fields with striking effect images. -
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DRAMMS
A Deformable Medical Image Registration Toolbox
...Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc); -- Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts). DRAMMS runs in command line in UNIX/Mac OS, It accepts Nifti/ANALYZE/MetaImage image formats. It is fully-automatic --- takes two input images, and generates a registered image and (optionally) the deformation field. More information (installation, tutorial, manual, demonstration, FAQ, etc) can be found at http://www.rad.upenn.edu/sbia/software/dramms/ . -
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SourceAFIS
Fingerprint recognition library (.NET port)
SourceAFIS is a software library for human fingerprint recognition. It can compare two fingerprints 1:1 or search a large database for matching fingerprint. It takes raw fingerprint images on input and produces matching score on output. Click the website link above for more info. -
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AlgART Java Libraries
Open source library for processing arrays and matrices
AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over... -
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HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
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The Tomographic Image Reconstruction Interface of the Universite de Sherbrooke (TIRIUS) is a Qt-based user-interface software for reconstructing 3D images from data generated by real apparatus or generated by the GATE Monte Carlo simulator.
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darknocK detects edges in images. It is using Artificial Neural Networks to enchance the results of standard algorithms.
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Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation.
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This is an image coder with fixed sampling, at a rate of up to 24 images per second (on XC2V1000-4 @ 40 MHz with res. up to 352x288).
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NESD-Imaging is a 2D rendering framework for Java. It combines JAI and Java2D and extends them by providing lazy rendering (do not block UI). It provides geo-positionned images rendering (à la google-map). It scales well to large image set (>500GB).
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The Watermarks is a java library for images and text watermarking fingerprinting and tamper-proofing. The supported carrier formats for a watermark are JPEG and PDF. The project also aim to build a test environment to evaluate robustness of implemented a
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