Search Results for "image classification using svm java code"
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Showing 16 open source projects for "image classification using svm java code"
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pdf-inspector
Fast Rust library for PDF inspection, classification
pdf-inspector is a fast Rust library for classifying PDFs and extracting structured text without OCR. It distinguishes text-based, scanned, image-based, and mixed documents while returning confidence scores and pages that may need OCR. Its position-aware parser preserves font data, coordinates, reading order, and multi-column layouts. The converter produces clean Markdown with headings, lists, code blocks, links, page breaks, and formatted tables. It supports CID fonts, several encodings,... -
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ML.NET
Open source and cross-platform machine learning framework for .NET
...ML.NET has been designed as an extensible platform so that you can consume other popular ML frameworks (TensorFlow, ONNX, Infer.NET, and more) and have access to even more machine learning scenarios, like image classification, object detection, and more. -
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APK Studio
Open-source, cross platform Qt based IDE for reverse-engineering
Open-source, cross-platform Qt based IDE for reverse-engineering Android application packages. It features a friendly IDE-like layout including code editor with syntax highlighting support for *.smali code files. If you are just willing to quickly decompile an Android app, you can make use of DeAPK - Online APK Decompiler which lets you decompile an Android app using apktool and jadx. -
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Tribuo
Tribuo - A Java machine learning library
Tribuo* is a machine learning library written in Java. It provides tools for classification, regression, clustering, model development, and more. It provides a unified interface to many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code, Tribuo also makes it possible to deploy models trained by Python libraries (e.g. scikit-learn, and pytorch) in a Java program. -
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OculiX
Visual Automation IDE — automate anything you see on screen
OculiX is the evolution of SikuliX, actively maintained with the full agreement of its original creator RaiMan. Automate any desktop application using image recognition (OpenCV) and OCR (Tesseract + PaddleOCR). No access to source code or DOM required — if you can see it, you can automate it. Key features: - Guided step-by-step recorder with live code preview - Image recognition via OpenCV 4.10 - Dual OCR: Tesseract (built-in) + PaddleOCR (neural, high precision) - Local and remote automation via integrated VNC - SSH tunnels via embedded JSch - Cross-platform: Windows, macOS (Apple Silicon M1-M4), Linux - Scripting: Jython, JRuby, Java, PowerShell, AppleScript - Java 17 recommended (Java 8+ supported) - Full CI/CD with automated builds for all platforms Used worldwide for test automation, RPA, and visual regression testing. ... -
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DownSmith Markdown Editor
A powerful, feature-rich Markdown editor with real-time HTML preview.
DownSmith provides an intuitive editing experience with comprehensive formatting tools, syntax highlighting, live preview, table creation, spell checking, footnotes, HTML export, and intelligent image handling. Runs without Java being installed on Windows. On macOS and Linux requires Java 11 or better installed. A Java 8 version is provided that has all the functionality of the Java 11 version except footnotes. -
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Kisekae UltraKiss
Kisekae UltraKiss is a full featured integrated development environmen
UltraKiss is a computer program that implements the Kisekae Set system, KiSS, a Japanese graphics system originally developed to facilitate costume changes on virtual dolls. UltraKiss was developed to help artists build their KiSS sets. It is a full featured viewer for all KiSS dolls, games, and visual applications. It is also a complete graphical development environment for creating KiSS applications. It fully implements the FKiSS event driven programming language up to and including... -
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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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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase... -
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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. The repository demonstrates concrete image understanding use cases,... -
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Habitus
A build flow tool for Docker
Habitus adds workflows to the Docker build. This means you can create a chain of builds to generate your final Docker image based on a workflow. This is particularly useful if your code is in compiled languages like Java or Go or if you need to use secrets like SSH keys during the build. Habitus is a standalone build flow tool for Docker. It’s a command line tool that builds Docker images based on their Dockerfile and a build.yml. -
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PasteControl
This is a pure JAVA API to handle paste image and upload it
Accessing clipboard is nothing very new in HTML 5. Gone are the days to print the screen of your computer, save it and upload it t server via File Up-loader. We , instead, experience the richness of the web by simply pasting our content on the web page itself. A very good example of the same may be experienced when you paste a screen shot on Github web itself . This project encourages developers to have such facility in the simple Java web application they develop. It's assumed that these... -
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WrapImaJ
Multi-platform API for Image Processing systems in Life Sciences
WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. ... -
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and... -
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tags2uml
Generates UML class diagrams, from source code
Generates UML class diagrams, from source code. Please see GitHub page for more info. Command line tool to convert from a Exuberant-ctags tags file to a UML class diagram, through Graphviz, for all object oriented languages supported by ctags The input file is a tags file, generated by Exuberant-ctags using --fields==+latinK. The output file is a Graphviz DOT file whose name is specified through the program options, or to stdout. The DOT file should then be passed to the Graphviz... -
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Aspose for Spring.Java
Aspose for Spring.Java provides Aspose API samples for Spring.Java.
Aspose for Spring.Java provides usage samples / sourcecodes for the demonstration of Aspose API for Java by extending famous Spring Java PetClinic Sample Web Application. This extension of "Spring Java PetClinic Sample Web Application" also shows the Integration of Aspose APIs with Spring MVC, JSP and Maven Project. Latest Release: v1.1
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