Search Results for "image steganography code" - Page 2
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Showing 73 open source projects for "image steganography code"
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ResIL
Resilient Image Library - successor to DevIL
ResIL is a library to open, store and manipulate images, with a focus on security. ResIL offers a simple API for these operations. ResIL also receives frequent updates to keep up with the evolution of the supported file formats. It started as a fork of DevIL but much of the code base has actually been rewritten to enhance stability. Support for webp and heic has been added. ResIL focuses on robust decoding so that even partially corrupted images can be displayed without crashes or exceptions. -
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multiOTP open source
PHP strong authentication library, web interface & CLI, OATH certified
multiOTP is a PHP class, a powerful command line utility and a web interface developed by SysCo systèmes de communication sa in order to provide a completely free and easy operating system independent server side implementation for strong two factors authentication solution. multiOTP supports hardware and software tokens with different One-Time Password algorithms like OATH/HOTP, OATH/TOTP and mOTP (Mobile-OTP). QRcode generation is also embedded in order to support provisioning of Google... -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
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iJEPA
Official codebase for I-JEPA
i-JEPA (Image Joint-Embedding Predictive Architecture) is a self-supervised learning framework that predicts missing high-level representations rather than reconstructing pixels. A context encoder sees visible regions of an image and predicts target embeddings for masked regions produced by a slowly updated target encoder, focusing learning on semantics instead of texture. -
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html-pdf-chrome
HTML to PDF or image (jpeg, png, webp) converter via Chrome/Chromium
HTML to PDF or image (jpeg, png, webp) converter via Chrome/Chromium. This library is NOT meant to accept untrusted user input. Doing so may have serious security risks such as Server-Side Request Forgery (SSRF). If you run into CORS issues, try using the --disable-web-security Chrome flag, either when you start Chrome externally, or in options.chromeFlags. -
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Onelinerhub
Thousands of code solutions with clear explanation
Lib of well-explained and minimalistic code solutions. -
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QuickChart
Chart image and QR code web API
Generate chart images with a simple, open API. Add charts to emails, reports, and anywhere else. Over 3 billion charts are rendered for users around the world. We're built on Chart.js, the most popular open-source charting library. We'll render any Chart.js configuration. Let's get creative! You can use all static customization options available in Chart.js. Visit our chart gallery to see different chart types and plugins: bar charts, line graphs, pie charts, and much more. QuickChart easily... -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates. -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target... -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
...The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. It also supports Adam and SGD optimizer choices, image cropping, adjustable parameters, and extensive code comments. It is a useful educational and applied repository for users who want to understand or customize YOLOv4 in PyTorch. -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. -
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Unet
Source code for unet-pytorch, which can train its own model
Unet-pytorch is a PyTorch implementation of U-Net for semantic segmentation workflows. 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... -
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Twemoji
Simple library that provides standard Unicode emoji for all platforms
...Although there are two kinds of parsing supported by this utility, we recommend you use DOM parsing, explained below. Each type of parsing accepts a callback to generate an image source or an options object with parsing info. The second kind of parsing is string parsing. This is unrecommended because this method does not sanitize the string or otherwise prevent malicious code from being executed; such sanitization is out of scope. -
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QB64
BASIC for the modern era
QB64 is a modern self-hosting BASIC compiler that brings classic QBasic/QuickBASIC programs into the modern era. It enables legacy code to run on today’s operating systems with minimal modifications, while also introducing new commands and libraries for multimedia, networking, and 64-bit computing. QB64 compiles to C++ and includes a built-in IDE, making it accessible for beginners, hobbyists, and retro programming enthusiasts. It aims to preserve the ease and nostalgia of BASIC while... -
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libfacedetection
Library for face detection in images
This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM. The model file has also been provided in directory... -
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Flutter Notebook
Collection of demo projects for Flutter
Flutter-Notebook is a curated collection of small demo projects for Flutter, designed to help developers learn and practice Flutter UI patterns and behaviors by example. The repository gathers many independent “mini apps” (each focused on one or a few features) so that learners can inspect, run, and understand individual Flutter behaviors in isolation. Demo of common UI behaviors (pull-to-refresh, left-swipe delete, JSON deserialization). Examples of state-preserving page... -
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GUI-lite
The smallest header-only GUI library(4 KLOC) for all platforms
The smallest header-only GUI library (4 KLOC) for all platforms. Cloud + IoT Solution: master your IoT business all over the world. Multi-language supports UTF-8; Playback Video. Toolkit for building font/image resources. Code Telemetry and Analysis in real-time (remove .sh/.bat files if dislike sharing). Even a C beginner could master GUI-lite quickly. The source code only uses basic C++ features (class, virtual function). We chose C++ as it could make the code size significantly smaller and easier to read. Work smoothly with 3rd party frameworks(Qt/MFC/Winform/Cocoa/Web). ... -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab. -
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...The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. By leveraging CNN architectures, the project showcases how learned embeddings can capture semantic similarity across varied images. This resource serves as both an educational reference and a foundation for further exploration in image retrieval research.
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. ... -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and... -
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Boss Engine
8-bit Graphical API for Java
Boss Engine is a graphical API for writing low-resolution 8-bit color applications. It offers easy to use functions for handling graphics, basic i/o and more. Screen access is performed through virtual framebuffers that allow direct read/write access to indexed color screen data. API is coded entirely with native libraries. No third party libraries required. -
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Photobooth
A photobooth Web-Application for raspberry pi with gphoto2
A Photobooth web interface for Raspberry Pi and Windows. Event-specific (e.g. wedding, birthday) config to show a symbol (e.g. heart) between some text on the start page. Green screen keying (chroma keying). Photo collage function: take 4 pictures in a row with or without interruption and let it generate a collage out of it. Save pictures with a Polaroid effect. Adjust take picture and print commands. And many more options to adjust and style the Photobooth for your personal needs. -
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Viewer
A simple jQuery image viewing plugin. As of v1.0.0
A simple jQuery image viewing plugin. As of v1.0.0, the core code of Viewer is replaced with Viewer.js. -
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ResNeXt
Implementation of a classification framework
...The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. The official repository offers a Torch (Lua) implementation with code for training, evaluation, and pretrained models on ImageNet. In practice, ResNeXt models often outperform standard ResNet models of comparable complexity.
