Search Results for "image processing netbeans project"
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Showing 24 open source projects for "image processing netbeans project"
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WebP Codec
Library to encode and decode images in WebP format
libwebp is the reference codec library for Google’s WebP image format, providing both encoding and decoding along with command-line tools. It supplies cwebp to compress images into WebP and dwebp to decompress them back, making it easy to test quality/size trade-offs across presets and tuning parameters. The GitHub repository is a mirror; the canonical source of truth lives on Chromium’s git, and developer docs are hosted on WebP’s portal. The project underpins WebP support across browsers,... -
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LearnOpenCV
C++ and Python Examples
LearnOpenCV is a large educational repository that provides practical computer vision and deep learning examples in both Python and C++. The project accompanies the LearnOpenCV blog and contains hundreds of hands-on tutorials covering topics such as object detection, image processing, pose estimation, and neural networks. It is structured as a learning resource where each directory corresponds to a specific article or technical walkthrough. The repository supports beginners and advanced practitioners by offering reproducible code that demonstrates real-world computer vision techniques. ... -
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ProStack
ProStack - a platform for image processing and analysis
ProStack - a platform for image processing and analysis. It implements various image processing methods as separate modules, that can be joined in a complex image processing scenario by use of a graphical user interface. RPMs are available at https://build.opensuse.org/project/repositories/home:mackoel:compbio -
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cuneiimageplus
Image processing library in C/C++
V 0.3.5.1 Realized as CodeBlocks and CMake project. Example Call from C: adapt_threshold_ext(inputpath, outputpath); Example Call from Golang: C.adapt_threshold_ext(inputpath, outputpath) Algorithms see Wiki -
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mfbpdf
Easy converting PNM to (MASK+FG+BG)-pdf.
MFBpdf is a simple project for easy converting PNM to (MASK+FG+BG)-pdf. It uses libtiff and libjpeg for all technichal work and compression. The breakdown of the image into components is done using DjVuL and DjVuL wiki. -
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faxcoder
Tools to access streams in PDF-files at the object level.
faxcoder A C tools to access streams in PDF-files at the object level. License: GNU Lesser GPL This project includes two tools: faxg4coder - a G3/G4 Fax En-/Decoder faxlzwcoder - a (TIFF) LZW En-/Decoder -
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mfbdjvu
Easy converting pgm and ppm to (MASK+FG+BG)-djvu.
MFBdjvu is a simple project for easy converting pgm and ppm to (MASK+FG+BG)-djvu. It uses djvulibre for all technichal work and compression. The breakdown of the image into components is done using DjVuL and DjVuL wiki. MFBdjvu based of simpledjvu. -
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TXM
Unicode XML TEI text analysis platform
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP... -
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Mozilla JPEG Encoder Project
Improved JPEG encoder
MozJPEG improves JPEG compression efficiency achieving higher visual quality and smaller file sizes at the same time. It is compatible with the JPEG standard, and the vast majority of the world's deployed JPEG decoders. MozJPEG is compatible with the libjpeg API and ABI. It is intended to be a drop-in replacement for libjpeg. MozJPEG is a strict superset of libjpeg-turbo's functionality. All MozJPEG's improvements can be disabled at run time, and in that case it behaves exactly like... -
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Darknet YOLO
Real-Time Object Detection for Windows and Linux
This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project. -
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TJ's Digital Image Application Set
Digital image processing programs for Windows and Linux systems.
tjsdigitalimage project provides a package containing a GUI-based image processing program called "Voyager" together with a collection of command-line image manipulation functions, suitable for use with very large images (longer than 4 GiB). Available in native 32 bit and native 64 bit versions for Intel 586/x64 and PPC/Cell on Windows and Linux. -
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LCUI
A small C library for building user interfaces with C, XML and CSS.
LCUI is a freely available software library to create GUI application, it is written in C, support the use XML and CSS describe the graphical interface, you can use it to make some simple effects. The above description and screenshots is for the version 1.0.0 (+), and the 1.0.0 version is still in development, it is not officially released, please do not use old versions of "files "page to download as version 1.0.0. -
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OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
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The Camellia library is an open source and cross-platform image processing library, written in plain C. It includes a lot of speed-optimized imaging functions (filtering, morpho, labeling, motion detection, warping, color conversion, project/backproject)
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PANorama2.0
PANorama: Panicle phenotyping for Oryza sativa
PANorama is a Linux-compatible, open-source software package for panicle image acquisition, processing, and phenotyping. PANorama 2.0 contains new phenotype measurements and is available for download within the "Files" tab listed above. Installation and user instructions are located within the "Wiki" tab. How to videos are available for streaming at the link below, or for download in the "Files" tab above. -
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NanocalcFX
Open Source Data Evaluation Software
NanocalcFX is a free and open source evaluation software for a simple yet comfortable solution to deal with thousands of transport kinetics measured with a fluorescence microscope or similar kinetics. Data can be imported from CSV or Excel files or using the dedicated image stack analyser (NISA). You can get sample data at the nanocalcFX homepage. Note that nanocalcFX is currently in a beta state. -
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EPSILON is a powerful Open Source wavelet image compressor. The project is aimed on parallel and robust image processing.
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Quantum Mechanical Toolkit And 3D Viewer for C++. Allows Data Visualisation via Images, Surfaces and Volume plots using OpenGL, as well as rapid development Quantum Mechanical Simulations. Uses the Blitz++, VTK Visualisation and Qt Libraries.
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Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
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A project being an introduction to fuzzy pattern recognition. This is only fuzzy image segmentation, together with an image processing pipeline to operate on colour images.
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openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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This project aims to development a universal media codecs for video/audio/image processing. It use same interfaces for all codecs. And it target system is embedded system. The codecs will be include: MPEG2, MPEG4, H264, AAC, VC-1, AVS.
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
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