Search Results for "objects detection" - Page 3
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Showing 108 open source projects for "objects detection"
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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. -
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NativeScript Augmented Reality
Augmented Reality NativeScript plugin
The nativescript-ar plugin brings augmented reality capabilities to NativeScript applications, allowing developers to create immersive AR experiences by integrating 3D objects and animations into the real world. -
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XL-Parser
XL-Parser is a tool for data extraction and analysis.
XL-Parser provides a bunch of functions for data extraction and analysis. It also provides web log analysis features like a tool for detection of suspicious activities. More details and screenshots on http://le-tools.com. -
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ChainerCV
ChainerCV: a Library for Deep Learning in Computer Vision
...Dataset classes whose names end with BboxDataset contain annotations of where objects locate in an image and which categories they are assigned to. These datasets can be indexed to return a tuple of an image, bounding boxes and labels. ChainerCV provides several network implementations that carry out object detection. -
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Treater Antivirus
Cloud antivirus scanner based on machine detection
Treater Anti-Virus is a free portable anti-virus on demand scanner which does not require the installation and updates of signatures. The application is able to detect and neutralize threats not found by the main protection program, such as Trojans, Ransomware, Worms, Dialers, Adware, Riskware, Pornware, SMS Blocks, etc. The utility does not require installation and can be launched from removable USB/CD drives as a "resuscitator" tool to unlock the computer. During the development, the... -
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KAREL 3D WebGL
Children's learning programming language Karel the Robot in 3D
KAREL 3D written in JavaScript with WebGL is a children's programming language for teaching algorithms. This is later variant from Karel the Robot in 3D, created in 1986 for 8bit microcomputer PMD 85-2. Support full recursion, create new commands, complex commands with condition from dialog and direct control with keys, language translation. Objects: brick, wall, mark, fence. Check out the Wiki (here) for more examples and pictures. Include ZIP with original historical... -
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LUMINOTH
Deep Learning toolkit for Computer Vision
LUMINOTH is an open-source deep learning toolkit designed for computer vision tasks, particularly object detection. The framework is implemented in Python and built on top of TensorFlow and the Sonnet neural network library, providing a modular environment for training and deploying detection models. It was created to simplify the process of building and experimenting with deep learning models capable of identifying objects within images. Luminoth includes support for popular object detection architectures such as Faster R-CNN and SSD, enabling developers to train models on datasets like COCO and Pascal VOC. ... -
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Lance
Multiplayer game server based on Node.JS
Lance is a real-time multiplayer game server framework designed to simplify the development of synchronized online games. It provides an extensible Node.js–based server where all game logic runs centrally. Lance also includes a client-side library that keeps each player’s game state synchronized with the server in real time. To ensure smooth gameplay, it uses efficient networking techniques along with position interpolation and extrapolation. The framework manages user input coordination and... -
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mAP
Evaluates the performance of your neural net for object recognition
...The performance of your neural net will be judged using the mAP criteria defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both give the same results). First, your neural net detection-results are sorted by decreasing confidence and are assigned to ground-truth objects. We have "a match" when they share the same label and an IoU >= 0.5 (Intersection over Union greater than 50%). This "match" is considered a true positive if that ground-truth object has not been already used (to avoid multiple detections of the same object). -
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House3D
A Realistic and Rich 3D Environment
House3D is a large-scale virtual 3D simulation environment designed to support research in embodied AI, reinforcement learning, and vision-language navigation. It provides more than 45,000 richly annotated indoor scenes sourced from the SUNCG dataset, covering diverse architectural layouts such as studios, multi-floor homes, and spaces with detailed furnishings and room types. Each environment includes fully labeled 3D objects, allowing agents to perceive and interact with their surroundings... -
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FBRetainCycleDetector
iOS library to help detecting retain cycles in runtime
Retain cycles are one of the most common ways of creating memory leaks. It's incredibly easy to create a retain cycle, and tends to be hard to spot it. The goal of FBRetainCycleDetector is to help find retain cycles at runtime. The features of this project were influenced by Circle. FBRetainCycleDetector will look for cycles that are no longer than 10 objects. We can make it bigger (although it's going to be slower!). There could also be retain cycles that we would like to omit. It's because... -
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parallax.js
Parallax Engine that reacts to the orientation of a smart device
Parallax Engine that reacts to the orientation of a smart device. Where no gyroscope or motion detection hardware is available, the position of the cursor is used instead. parallax.js reacts to the orientation of your smart device, offsetting layers depending on their depth within a scene. If you don't have a smart device, no worries, if no gyroscope or motion detection hardware is available, parallax.js uses the position of your cursor instead. Most configuration settings can be declared... -
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VB .NET PHYSX (PHYSICS) DX9 - Engine
.NET - VISUAL BASIC NVIDIA +ATI PHYSX SLIMDX DIRECTX 9 -ENGINE/WRAPPER
...COMPATIBLE) , DirectX 9 (using SlimDX) 3D ENGINE/HELPER/WRAPPER This project incorporates these technology into a simple Open Source Engine, allowing simple access to Nvidia PhysX library using DirectX 9 (VIA - SLIMDX) to render "Simulations/Games" ALL IN VB.NET -with- C# and other .NET language compatibility. Visuals now include .X model loading with Animations and Skeletons (shaders) Level loading and AUTOMATIC object (mesh) type detection and classifying ALLOWING ONE .X MESH to be built with LIGHTS, AUTOMATIC CLOTHS, DOORS, DYNAMIC OBJECTS, TERRAIN MESHES AND DYNAMIC MESHES, CAMERAS, PORTALS, DUMMIES ETC... all by simple NAMING of objects then the LEVEL LOADER. (partial) Script editor (coming soon) for final setting of Door (to and from portals), Camera , Animation , Physics Fine tuning and Custom shaped/breakable objects, light color and intensity modification with flickering and breakable lights, Inventory,etc -
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UMAD
Universal Management and Analysis of Data
The project mainly includes three parts:similarity searching,classfication and outlier detection. All those three methods are based on data items in metric space, which contains complex objects like picture,video,DNA,protein and so on, it will consumes large amount of cpu time to calculate out the distance between any two complex objects shown before.Our methods in the project reduces the times of distance calculation and improves the effectiveness of data retrieval. -
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GPUImage
iOS framework for GPU-based image and video processing
...Images or frames of video are uploaded from source objects, which are subclasses of GPUImageOutput. -
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FreeSOLID is a library for collision detection of three-dimensional objects undergoing rigid motion and deformation. FreeSOLID is designed to be used in interactive 3D graphics applications.
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Voxel CAD. Open source voxel editing and analyzing software. Edit and create multi-material voxel objects. Simulate the dynamics in a quantitative physics sandbox to test engineering designs or make moving creatures. www.voxcad.com for videos.
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Rcnn
R-CNN: Regions with Convolutional Neural Network Features
This repository contains the original MATLAB implementation of R-CNN (Regions with Convolutional Neural Networks), a pioneering deep learning-based object detection framework. Developed by Ross Girshick, R-CNN combines region proposals with convolutional neural networks to detect objects in images. It was one of the first approaches to significantly improve performance on object detection benchmarks like PASCAL VOC.
