Search Results for "object detection" - Page 3
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Showing 181 open source projects for "object detection"
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anti-slop
Opinionated Oxlint rules for rejecting low-evidence TypeScript
Anti-slop is an opinionated Oxlint rule set for rejecting low-evidence TypeScript and JavaScript patterns. It is designed to be copied into a repository and customized rather than consumed as a fixed npm dependency. Its rules target practices such as chained type assertions, unsafe dictionary types, broad object parameters, ad hoc runtime type checks, module mocking, and contracts that return unknown. Type assertions can be required to include a safety comment explaining the checked... -
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Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training models, creating predictions, evaluating models, and bundling the model files and configuration for easy deployment. ... -
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JSON Lint
JSON Lint for PHP
JSON Lint is a PHP library and command-line tool for validating and parsing JSON documents. Its lint method returns detailed parsing errors without decoding the input, while parse produces PHP values and throws exceptions when the document is invalid. Error messages include the relevant line, nearby text, a position marker, and the tokens expected by the parser. Optional flags can reject duplicate object keys, preserve them under generated names, or collect repeated values into arrays. The... -
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Super comprehensive deep learning notes
Super Comprehensive Deep Learning Notes
...The repository contains hundreds of Jupyter notebooks that are richly annotated and organized by topic, progressing from basic Python and PyTorch fundamentals to advanced neural network designs like ResNet, transformers, and object detection algorithms. It’s not just a dry code repository; it includes theoretical explanations alongside hands-on examples, loss function explorations, optimization routines, and full end-to-end experiments on real datasets, making it highly suitable for both self-study and classroom use. -
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Isometric City
IsoCity: City building simulation game
Isometric City is a JavaScript-based interactive map and city builder engine that creates richly detailed, isometric-pixel graphics in web browsers, allowing developers and designers to prototype urban environments, tactical games, or cartographic visualizations. It uses optimized rendering techniques to draw tiles, buildings, roads, and terrain in isometric perspective, giving depth and dimension without 3D complexity, and includes a set of modular components so custom art or tile sets can... -
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Python Code Tutorials
The Python Code Tutorials
...Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and applications step by step. Many tutorials focus on practical implementations such as building network scanners, web scraping tools, object detection systems, and automation utilities using Python libraries. The repository is organized into thematic directories that group tutorials by topic, allowing learners to navigate easily between areas such as ethical hacking, multimedia processing, or machine learning. -
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Open Model Zoo
Pre-trained Deep Learning models and demos
Open Model Zoo is a large repository of high-quality pre-trained deep learning models and demonstration applications designed to work with the OpenVINO™ toolkit, offering a comprehensive starting point for a wide range of AI and computer vision workloads. It includes hundreds of models covering object detection, classification, segmentation, pose estimation, speech recognition, text-to-speech, and more, many of which are already converted into formats optimized for inference on CPUs, GPUs, VPUs, and other accelerators supported by OpenVINO. In addition to model files, Open Model Zoo provides demo applications that show realistic usage patterns and help developers quickly prototype and understand inference pipelines in C++, Python, or via the OpenCV Graph API. ... -
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Lingvo
Framework for building neural networks
...Lingvo includes reference models and configurations for domains like machine translation, automatic speech recognition, language modeling, image understanding, and 3D object detection. Centralized hyperparameter configuration files allow researchers to share exact experiment setups so others can retrain and compare results reliably. -
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MoCo (Momentum Contrast)
Self-supervised visual learning using momentum contrast in PyTorch
MoCo is an open source PyTorch implementation developed by Facebook AI Research (FAIR) for the papers “Momentum Contrast for Unsupervised Visual Representation Learning” (He et al., 2019) and “Improved Baselines with Momentum Contrastive Learning” (Chen et al., 2020). It introduces Momentum Contrast (MoCo), a scalable approach to self-supervised learning that enables visual representation learning without labeled data. The core idea of MoCo is to maintain a dynamic dictionary with a... -
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MobileNetV2
SSD-based object detection model trained on Open Images V4
...It is based on an inverted residual structure that allows for faster computation and fewer parameters, making it ideal for real-time applications on resource-constrained devices. MobileNetV2 is commonly used for image classification, object detection, and other computer vision tasks, achieving high accuracy while maintaining a small memory footprint. It also supports TensorFlow Lite for mobile device deployment, ensuring that developers can leverage its performance on a wide range of platforms. -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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InternGPT
Open source demo platform where you can easily showcase your AI models
...Unlike traditional chat systems that rely solely on text prompts, InternGPT allows users to interact with visual content using both language and nonverbal signals such as pointing or highlighting objects within images. The framework connects multiple specialized AI models that perform tasks such as object detection, segmentation, captioning, and visual editing while coordinating them through a central conversational interface. This architecture enables the system to plan actions, execute visual operations, and return results in a coherent dialogue with the user. -
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Blazeface
Blazeface is a lightweight model that detects faces in images
Blazeface is a lightweight, high-performance face detection model designed for mobile and embedded devices, developed by TensorFlow. It is optimized for real-time face detection tasks and runs efficiently on mobile CPUs, ensuring minimal latency and power consumption. Blazeface is based on a fast architecture and uses deep learning techniques to detect faces with high accuracy, even in challenging conditions. It supports multiple face detection in varying lighting and poses, and is designed... -
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Motion Detect
use your webcam to detect motion
The program works with a webcam to detect a change in the picture, such as an object or a person moving, and capture frames in a folder, so it can be useful as a motion detection program, i.e. for security purposes. -
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MoveNet
A CNN model that predicts human joints from RGB images of a person
The MoveNet model is an efficient, real-time human pose estimation system designed for detecting and tracking keypoints of human bodies. It utilizes deep learning to accurately locate 17 key points across the body, providing precise tracking even with fast movements. Optimized for mobile and embedded devices, MoveNet can be integrated into applications for fitness tracking, augmented reality, and interactive systems. -
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2D-Physics
2D physics simulation with circle collision detection using C++.
2DPhysics is a real-time physics simulation engine built with C++ and OpenGL for gravitational and electric field simulations. Features include accurate gravitational and electric force calculations, real-time collision detection, and an interactive ImGui interface. Users can create circles with customizable mass, radius, and charge properties, then observe interactions with configurable fields. Supports drag-and-drop manipulation, adjustable time scale, and velocity visualization. Built on... -
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autotools-idl is a patch for automake and some autoconf scripts that adds support for IDL and C++ ORBs. It provides full support for compiling IDL files to C++ stubs and skeletons. The autoconf scripts provide unified detection of different C++ ORBs.
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GLOBE_3D
A real-time 3D Engine written in Ada
GLOBE_3D: GL Object Based Engine for 3D. GLOBE_3D is a free, open-source, real-time 3D Engine written in Ada, based on OpenGL. Up-to-date GL bindings - portal rendering - binary space partition - object I/O - tools for importing - and more... More information on... http://globe3d.sf.net Alire crate: https://alire.ada.dev/crates/globe_3d Mirror: https://github.com/zertovitch/globe-3d/ -
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imgclsmob Deep learning networks
Sandbox for training deep learning networks
...The project serves as a sandbox for training and evaluating a wide variety of neural network architectures used in image analysis. It includes implementations of models used for tasks such as image classification, object detection, semantic segmentation, and pose estimation. The repository also contains scripts that help train models, evaluate performance, and convert trained networks between different frameworks. Several deep learning frameworks are supported, allowing researchers to experiment with architectures in different environments. The project is frequently used by developers who want to study modern convolutional neural network designs and compare their performance across datasets. -
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Castle Game Engine
Game engine supporting many 3D/2D formats and graphic effects
This project has moved to: - Our website https://castle-engine.io/ - GitHub repo: https://github.com/castle-engine/castle-engine/ Cross-platform 3D and 2D game engine for Object Pascal. Rendering and processing of game assets in glTF, X3D, VRML, Collada, Spine and other formats. Many graphic effects including shadows, shaders, mirrors, screen effects. Animation, collision detection, 3D sound. Extensible system of 3D objects, with out-of-the-box levels, items, intelligent creatures and more. Desktop, mobile, web plugin. ... -
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gSOAP Toolkit
Development toolkit for Web Services and XML data bindings for C & C++
The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming,... -
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Computer Vision in Action
A computer vision closed-loop learning platform
...It serves as a hands-on companion for learners and engineers who want to understand not just the theory, but how computer vision is actually implemented for tasks like object detection, image classification, feature tracking, optical flow, and image segmentation. The repository includes structured code examples, scripts, and notebooks that cover pipeline construction, preprocessing, model inference, and visual output rendering, making it easy for newcomers or intermediate practitioners to adapt patterns to their own projects. ... -
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WhichBrowser
Browser sniffing gone too far — A useragent parser library for PHP
This is an extremely complicated and almost completely useless browser-sniffing library. Useless because you shouldn't use browser sniffing. So stop right now and go read something about feature detecting instead. I'm serious. Go away. You'll thank me later. There is always an exception to the rule. There are valid reasons to do browser sniffing: to improve the user experience or to gather intelligence about which browsers are used on your website. My website is html5test.com and I wanted to... -
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MMDetection
An open source object detection toolbox based on PyTorch
MMDetection is an open source object detection toolbox that's part of the OpenMMLab project developed by Multimedia Laboratory, CUHK. It stems from the codebase developed by the MMDet team, who won the COCO Detection Challenge in 2018. Since that win this toolbox has continuously been developed and improved. MMDetection detects various objects within a given image with high efficiency. -
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AI-Aimbot
CS2, Valorant, Fortnite, APEX, every game
...Because the system relies solely on visual detection rather than reading game memory, it attempts to bypass certain traditional anti-cheat detection methods.
