Search Results for "image processing netbeans project" - Page 4
Sort By:
Showing 223 open source projects for "image processing netbeans project"
View related business solutions-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
1
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... -
2
MantaRay Forensics
An Open Source Project | Since 2013 | SANS SIFT Automation | Hash Sets
MantaRay Forensics | An Open Source Project | Since 2013 | SANS SIFT Automation | Hash Sets MantaRay is designed to automate processing forensic evidence with open source tools. Released in SIFT 3.0 in 2013, with support for numerous image formats, the tool provides a scalable framework to utilize open source and custom exploitation tools. MantaRay is developed by forensic examiners with more than 30 years of collective experience in computer forensics. ... -
3
PlayPicdio
On the Android platform, the picture or video is converted to ascii
PlayPicdio is a multimedia application designed to transform static images into dynamic audiovisual presentations. It combines image playback with synchronized audio to create slideshow-like experiences enhanced by transitions and timing control. The project demonstrates how to integrate image processing and audio playback into a cohesive media pipeline. It is useful for creating lightweight video content from image sequences without requiring full video editing software. ... -
4
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... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
Cross Attention Control
Unofficial implementation of "Prompt-to-Prompt Image Editing
Cross Attention Control is an unofficial Stable Diffusion implementation of Prompt-to-Prompt image editing with cross-attention control. It modifies diffusion-model attention maps during inference so prompt changes can produce more controlled edits. The method is designed to avoid manual masks while requiring no additional training or fine-tuning. The notebooks include examples for editing images generated from the same seed. The project also adds image inversion using a modified inverse... -
6
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms
Real-ESRGAN is a highly popular open-source project that provides practical algorithms for general image and video restoration using deep learning-based super-resolution techniques. It extends the original Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) approach by training on synthetic degradations to make results more robust on real-world images, effectively enhancing resolution, reducing noise/artifacts, and reconstructing fine detail in low-quality imagery. The... -
7
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. -
8
Unet
Source code for unet-pytorch, which can train its own model
...The repository is built around training, prediction, and mIoU evaluation for VOC-style segmentation data and medical-style datasets. It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes that U-Net is better suited to datasets with fewer features and shallow visual structures, such as medical image segmentation, rather than complex VOC-style scenes. It is useful for developers and students who want a clear U-Net implementation for segmentation experiments, custom masks, and biomedical-style image analysis. -
9
blind-watermark
Blind&Invisible Watermark, image blind watermark, extract watermark
...Multiprocessing can use several CPU cores during processing. The project is intended for copyright marking, traceability, and image steganography experiments. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
text_renderer
Generate text images for training deep learning ocr model
Text Renderer is a Python utility for generating synthetic text images used to train optical character recognition models. It supports Latin and non-Latin writing systems and produces matching labels alongside the generated images. Users can supply their own corpora, fonts, character sets, backgrounds, and YAML configuration files. Available effects include perspective distortion, random cropping, curved text, borders, variable spacing, lines, embossing, color changes, inversion, and blur. A... -
11
CainCamera
CainCamera is an Android Project to learn about development
CainCamera is an open-source Android project designed as a comprehensive learning resource for building advanced camera, image processing, and short video editing applications. It demonstrates how to implement real-time beauty filters, dynamic effects, and video recording using technologies like OpenGL ES and FFmpeg. The project includes modules for camera preview, face detection, filter rendering, and media editing, providing a full pipeline from capture to playback. ... -
12
hora
Efficient approximate nearest neighbor search algorithm collections
hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning... -
13
deep-learning-for-image-processing
deep learning for image processing including classification
deep-learning-for-image-processing is an extensive educational repository covering practical deep learning methods for computer vision. It organizes implementations, explanations, presentation files, and video lessons around major neural network architectures. The material teaches both model structure and training workflows, with examples built in PyTorch and TensorFlow through Keras. -
14
Paperless-ng
A supercharged version of paperless, scan, index and archive docs
Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to... -
15
Astronomy Linux 21.04
This is an open project "Astronomy Linux 21.04" for amateurs
This is an open project "Astronomy Linux" for amateurs. Free distributive designed for astronomy amateurs. This image contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. -
16
Astronomy Linux 19.04
This is an open project "Astronomy Linux 19.04" for amateurs
This is an open project "Astronomy Linux" for amateurs. Free Live DVD distributive designed for astronomy amateurs. This DVD contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. -
17
BRIC
BRIC is a powerful tool for batch image processing.
Bric is a cross-platform batch image processor. You can convert, resize, rotate and add watermark to your images. Multiple file types are supported for input and output. The project started back in 2011 and was maintained for a couple of years. In 2020 BRIC is again in active development, so some of the features written below might be outdated. Please be patient, until everything is reviewed and rewritten. -
18
This project contains an open-source implementation of an OPT platform. The 3D-printable components are provided to built your customized sample stage. We offer our open source MATLAB software with an GUI for OPT imaging. We developed a generalized automated workflow including a two-step registration approach for correcting the center of rotation and provide accurate and high-quality 3D reconstruction. *Here we provide the raw tomography videos recorded using the zOPT hardware. *For...
-
19
Imaging
High-quality image processing library for Go
...Its API is intentionally minimal and easy to use, making it suitable for both small utilities and larger applications. The project supports multiple image formats through Go’s image ecosystem without introducing unnecessary complexity. Overall, it serves as a practical toolkit for developers who need reliable image processing capabilities in Go applications. -
20
High Accuracy Approx Adder for FPGAs
Approximate Adder for FPGA-based Image Processing Applications
Using Approximate Computing, we have designed an innovative approximate adder with real-world image processing applications. The uploaded project includes its Matlab and Verilog models for result reproduction. This is an ongoing study and we aim to formally publish it for better understanding of viewers. -
21
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. -
22
GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. ... -
23
Batch PIE
A batch pipelined image editor
Current filter functionality: - Simple editing options: Image cropping, resizing, rotation, Color brightness curve alignment - Histobram processing: Convolution, statistics (e. g. f_max or median analysis) - Image segmentation: The actual segmentation process as well as group weight calculation for further filtering (both functions rely on self defined custom dynamic mathematical functions) - Dynamic mathematical functions for custom and automated image filtering: General mathematical operations, using image or matrix as f(x, y), export f(x, y) as image or matrix, mapping variables on other ones and of course boolean operation for case sensitivity - A flexible variables model of dynamic mathematical function that sets no restriction on particular variables count - Sub project support for an organized total process targeting to save time using previously created editing routines instead of redoing steps each time -
24
LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
25
react-imgpro
Image Processing Component for React
react-imgpro is an image-processing component for React. This component process an image with filters supplied as props and returns a base64 image. I was working on a project last month which involved a lot of image processing and I'd to rely on third party libraries. But before using them directly, I'd to learn different concepts in gl (shaders) and then try to implement them in React.
