Search Results for "objects detection" - Page 2
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Showing 90 open source projects for "objects detection"
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Universal ESP Overlay Download
Universal ESP All Games Download
Universal ESP Overlay / All Games / Rainbow Six Siege , Apex Legends , Valorant , PUBG , Rust , Fortnite , Call Of Duty , CS2 Universal ESP Overlay All Games 2025 is the best wallhack tool for PC, built with advanced C++ code for speed and security. It displays enemies, loot, and objects through walls with real-time ESP features, including boxes, health bars, and distance indicators. Fully customizable and optimized for smooth performance, this overlay works on all major shooters. Easy to... -
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Windows MBox Viewer
Windows eml and mbox viewer.
Free Windows Mbox Viewer. Gain access to mbox archives, single eml or single Outlook messages. View attachments and export single mails in eml format. Access large mbox files such as Google Takeout or Mozilla Thunderbird Archives. Development of mbox viewer continues now at github: https://github.com/eneam/mboxviewer **NOTE**: Windows Defender may sometimes report incorrectly that mbox-viewer contains malware. Please report the case to the development. Development will ask... -
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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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Dark Mode Leakage Radar
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20
...Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author. Spectral duality filter that extracts green-speck entanglement residuals and blue-halo IR fusion to detect stealth objects by revealing dark-mode leakage in ordinary radar returns. Features Live version Live try: Live https://huggingface.co/spaces/QCAUS/QCAUS PDP Quantum Filter: Implements photon-dark-photon kinetic mixing and von Neumann evolution Dark-Mode Leakage Detection: Reveals quantum entanglement signatures of stealth objects Blue-Halo Fusion Visualization: RGB composite highlighting stealth signatures Synthetic -
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Adaptive Intelligence
Adaptive Intelligence also known as "Artificial General Intelligence"
Adaptive Intelligence is the implementation of neural science, forensic psychology , behavioral science with machine-learning and artificial intelligence to provide advanced automated software platforms with the ability to adjust and thrive in dynamic environments by combining cognitive flexibility, emotional regulation, resilience, and practical problem-solving skills. -
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Castle Game Engine
Game engine supporting many 3D/2D formats and graphic effects
...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. Also home of view3dscene - our full-featured VRML/X3D browser. -
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YoloV3 Implemented in TensorFlow 2.0
YoloV3 Implemented in Tensorflow 2.0
YoloV3 Implemented in TensorFlow 2.0 is built using TensorFlow 2.0. The project provides a modern deep learning implementation of the popular YOLOv3 algorithm, which is widely used for real-time object detection in images and video streams. YOLOv3 works by dividing an image into grid regions and predicting bounding boxes and class probabilities simultaneously, allowing objects to be detected quickly and efficiently. The repository includes training scripts, inference tools, and configuration files that make it possible to train custom object detection models on user-defined datasets. ... -
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Originally a reimplementation of OpenGroupware's ZideStore. While compatible with legacy ZideStore Coils provides a sophisticated workflow system with ETL and integration capabilities and superior WebDAV/CalDAV features and compatibility. The workflow engine suppports processes described in BPML and provides integration with a variety of services include SSH, LPD, LDAP, and relation databases.
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DeepBlueCLI
PowerShell Module for Threat Hunting via Windows Event Logs
DeepBlueCLI is a PowerShell-centric threat-hunting toolkit built to extract, normalize, and flag suspicious activity from Windows event logs and Sysmon telemetry. It parses common sources—including Windows Security, System, Application, PowerShell logs, and Sysmon event ID 1—then applies a rich set of detection heuristics for things like suspicious account changes, password guessing and spraying, service tampering, PowerShell obfuscation and download-string usage, long or unusual command lines, and credential dumping attempts. Output is emitted as native PowerShell objects so analysts can pipe results to CSV, JSON, HTML, GridView, or custom pipelines for further triage and reporting. ... -
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
AB3DMOT is a real-time 3D multi-object tracking framework designed for applications such as autonomous driving and robotics perception. The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. ... -
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BadBlood
Flls Microsoft Active Directory Domain with a structure
BadBlood is a PowerShell toolkit that programmatically populates a Microsoft Active Directory domain with a realistic, large-scale structure of OUs, users, groups, computers, and permissions so defenders and testers can practice discovery, hardening, and incident response on a lifelike environment. It intentionally randomizes its output on every run so the created domain, objects, and ACL relationships are different each time, which helps teams exercise tooling and detection logic against varied scenarios. The project is driven by a single entry script (Invoke-BadBlood.ps1) and a collection of modular components that create OUs, seed users and groups, set ACLs, configure LAPS scenarios, and generate other attack/defense artifacts for lab use. ... -
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ImageAI
A python library built to empower developers
ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. ImageAI is widely used around the world by professionals,... -
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DDPM-CD
Remote sensing change detection using denoising diffusion models
This is the Pytorch implementation of Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. The generated images contain objects that we commonly see in real remote sensing images, such as buildings, trees, roads, vegetation, water surfaces, etc., demonstrating the powerful ability of the diffusion models to extract key semantics that can be further used in remote sensing change detection. -
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Bullet Physics SDK
Real-time collision detection and multi-physics simulation for VR
This is the official C++ source code repository of the Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. We are developing a new differentiable simulator for robotics learning, called Tiny Differentiable Simulator, or TDS. The simulator allows for hybrid simulation with neural networks. It allows different automatic differentiation backends, for forward and reverse mode gradients. TDS can be trained... -
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YOLOv3
Object detection architectures and models pretrained on the COCO data
Fast, precise and easy to train, YOLOv5 has a long and successful history of real time object detection. Treat YOLOv5 as a university where you'll feed your model information for it to learn from and grow into one integrated tool. You can get started with less than 6 lines of code. with YOLOv5 and its Pytorch implementation. Have a go using our API by uploading your own image and watch as YOLOv5 identifies objects using our pretrained models. -
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DeepStack
The World's Leading Cross Platform AI Engine for Edge Devices
DeepStack is an AI API engine that serves pre-built models and custom models on multiple edge devices locally or on your private cloud. DeepStack runs completely offline and independent of the cloud. You can also install and run DeepStack on any cloud VM with docker installed to serve as your private, state-of-the-art and real-time AI server. -
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D2X-XL
OpenGL port of the classic 6dof 3D shooter Descent
D2X-XL is an OpenGL port of the classic 3D Shooter game Descent 2 for Win32, Linux and Mac OS X, containing many enhancements and bug fixes while preserving full backwards compatibility. -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. -
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Objectron
A dataset of short, object-centric video clips
...The dataset consists of 15K annotated video clips supplemented with over 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes. In addition, to ensure geo-diversity, our dataset is collected from 10 countries across five continents. Along with the dataset, we are also sharing a 3D object detection solution for four categories of objects — shoes, chairs, mugs, and cameras. -
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Turi Create
Simplifies the development of custom machine learning models
Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app. If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code. Turi Create supports macOS 10.12+, Linux (with glibc 2.10+), Windows 10 (via WSL). Turi Create requires Python 2.7, 3.5, 3.6, 3.7, 3.8. ... -
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Computer Vision Pretrained Models
A collection of computer vision pre-trained models
A pre-trained model is a model created by someone else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model trained on other problem as a starting point. A pre-trained model may not be 100% accurate in your application. For example, if you want to build a self-learning car. You can spend years building a decent image recognition algorithm from scratch or you can take the inception model (a pre-trained model) from Google which... -
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. ... -
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COCO Annotator
Web-based image segmentation tool for object detection & localization
COCO Annotator is a web-based image annotation tool designed for versatility and efficiently label images to create training data for image localization and object detection. It provides many distinct features including the ability to label an image segment (or part of a segment), track object instances, label objects with disconnected visible parts, and efficiently store and export annotations in the well-known COCO format. The annotation process is delivered through an intuitive and customizable interface and provides many tools for creating accurate datasets. ... -
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VoteNet
Deep Hough Voting for 3D Object Detection in Point Clouds
VoteNet is a 3D object detection framework for point clouds that combines deep point set networks with a Hough voting mechanism to localize and classify objects in 3D space. It tackles the challenge that object centroids in 3D scenes often don’t lie on any input surface point by having each point “vote” for potential object centers; these votes are then clustered to propose object hypotheses. -
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Affine Transformation of Virtual Object
Transformation virtual 3D object using a finger gesture-based system
...This is the version 2.0 that includes a more generalized affine transformation of virtual objects in the virtual environment with more experimentation and analysis. Previous versions only include the geometric transformation of a virtual 3D object with respect to a finger gesture. Paper for the affine transformation of the virtual 3D object has been published in Virtual Reality & Intelligent Hardware, Elsevier Science Publishers in 2020.
