Search Results for "detection" - Page 27
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Showing 1991 open source projects for "detection"
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Detectron
FAIR's research platform for object detection research
Detectron is an object detection and instance segmentation research framework that popularized many modern detection models in a single, reproducible codebase. Built on Caffe2 with custom CUDA/C++ operators, it provided reference implementations for models like Faster R-CNN, Mask R-CNN, RetinaNet, and Feature Pyramid Networks. The framework emphasized a clean configuration system, strong baselines, and a “model zoo” so researchers could compare results under consistent settings. ... -
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MMAction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
...Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding tasks, including action recognition, action localization, Spatio-temporal action detection, and skeleton-based action detection. We support 27 different algorithms and 20 different datasets for the four major tasks. We provide detailed documentation and API reference, as well as unit tests. We support Multigrid on Kinetics400, achieve 76.07% Top-1 accuracy and accelerate training speed. -
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EvaDB
Database system for building simpler and faster AI-powered application
...This programming complexity prevents people who are experts in other domains from benefiting from these models. Running these deep learning models on large document or video datasets is costly and time-consuming. For example, the state-of-the-art object detection model takes multiple GPU years to process just a week’s videos from a single traffic monitoring camera. Besides the money spent on hardware, these models also increase the time that you spend waiting for the model inference to finish. -
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Primus
An abstraction layer for real-time to prevent module lock-in
...No more API rewrites needed when your project requirements change, the framework gets abandoned or simply breaks down. Built-in reconnect, it just works. The reconnect is controlled by a randomised exponential back-off algorithm to reduce server stress. Offline detection, Primus is smart enough to detect when users drop their internet connection (switching WIFI points/cell towers for example) and reconnects when they are back online. -
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KMedicalImageScreener1
A Medical Scanner for Computer Aided Detection of MRI Scans
This app is JSP that has been tested for use in Computer Aided Detection of MRI scans in the cranial and abdominal areas for cancer detection. There was one case study completed with a very high accuracy rate of over 95% on test data. This app is provided as-is under the GNU License with Accrediation. Let me know what you think, Diana -
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VcenterKit
Vcenter Comprehensive Penetration and Exploitation Toolkit
VcenterKit is a Python-based toolkit focused on penetration testing and exploitation targeting VMware vCenter environments, giving security researchers and red team professionals a consolidated toolset to assess and exploit known vulnerabilities. The project includes modules that automate the detection and exploitation of specific CVEs (common vulnerabilities and exposures) in vCenter servers, often used to manage virtual infrastructure in enterprise environments. With features tailored toward reconnaissance, vulnerability triggering, and payload generation, the toolkit helps testers simulate real-world attack vectors on vulnerable vCenter instances. ... -
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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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...Aim for more easy to Install/netboot different distribution, now OVER 50+ distro (20210723, still updating) can be boot from their offical (mirror) site or sourceforge.net by only a 50MB iPXE image(usb&iso). TUI customise for: Mirror, Release, Version, Kernel Parameter, TUI/GUI (if available), Auto detection i386/amd64 (if available)
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Infection Monkey
Infection Monkey is a automated security testing tool for networks
Infection Monkey is a open source automated security testing tool for testing a network's security baseline. Monkey is a tool that infects machines and propagates and Monkey Island is the server for an administrator to control and visualize progress of Infection Monkey. -
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progress
Linux tool to show progress for cp, mv, dd, ... (formerly known as cv)
progress is a lightweight command-line utility written in C that displays real-time progress information for coreutils operations such as cp, mv, dd, tar, and gzip. Instead of modifying the original commands, the tool scans the system’s process information to detect active file operations and estimates their completion percentage, throughput, and remaining time. It offers a top-like monitoring mode that continuously updates the status of ongoing transfers, making it especially useful during... -
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Lingua-Go
The most accurate natural language detection library for Go
...Language detection is often done as part of large machine-learning frameworks or natural language processing applications. In cases where you don't need the full-fledged functionality of those systems or don't want to learn the ropes of those, a small flexible library comes in handy. -
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Best Auto Clicker
Best Auto Clicker is a versatile tool that automates clicking actions.
Best Auto Clicker is a versatile tool that automates clicking actions on your computer. With features such as customizable hotkeys, dynamic delay times, and support for various mouse clicks and key combinations, it simplifies repetitive tasks. Whether you need to perform rapid clicks, scroll the mouse wheel, or send specific keys or paragraphs, the auto clicker streamlines your workflow by saving time and effort. Its intuitive interface and virtual machine compatibility make it an... -
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Detic
Code release for "Detecting Twenty-thousand Classes
Detic (“Detecting Twenty-thousand Classes using Image-level Supervision”) is a large-vocabulary object detector that scales beyond fully annotated datasets by leveraging image-level labels. It decouples localization from classification, training a strong box localizer on standard detection data while learning classifiers from weak supervision and large image-tag corpora. A shared region proposal backbone feeds a flexible classification head that can expand to tens of thousands of categories without exhaustive box annotations. The system supports zero- or few-shot extension to novel categories via semantic embeddings and class name supervision, making “open-world” detection practical. ... -
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text-dedup
All-in-one text de-duplication
text-dedup is a Python library that enables efficient deduplication of large text corpora by using MinHash and other probabilistic techniques to detect near-duplicate content. This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible... -
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ICCV2023-Paper-Code-Interpretation
ICCV2021/2019/2017 Paper/Code/Interpretation/Live Broadcast Collection
...This repository addresses that problem by analyzing official implementations and providing annotated explanations of the code structures, algorithms, and training procedures used in these projects. The repository organizes papers and implementations into categories, allowing readers to explore different areas of computer vision research such as detection, segmentation, and generative models. -
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SOD
An Embedded Computer Vision & Machine Learning Library
SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well as commercial products. SOD implements state-of-the-art computer vision algorithms found to be mandatory in real-world application areas. ... -
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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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FastViT
This repository contains the official implementation of research
...The models use lightweight attention and carefully engineered blocks to minimize token mixing costs while preserving representation power. Training and inference recipes highlight straightforward integration into common vision tasks such as classification, detection, and segmentation. The codebase provides reference implementations and checkpoints that make it easy to evaluate or fine-tune on downstream datasets. In practice, FastViT offers drop-in backbones that reduce compute and memory pressure without exotic training tricks. -
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NuPIC
Numenta platform for intelligent computing
...At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed). To install from local source code, run from the repository root. ... -
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apiDoc
RESTful web API documentation Generator
apiDoc creates a documentation from API annotations in your source code. apiDoc gives you the ability to attach a version number to an API so you can easily track changes between versions. Creates an apiDoc of all files within dir myapp/, uses template from dir mytemplate/ and put all output to dir apidoc/. Without any parameter, apiDoc generate a documentation from all .cs .dart .erl .go .java .js .php .py .rb .ts files in current dir (incl. subdirs) and writes the output to ./doc/. apiDoc... -
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AI-Shorts-Creator
Python-based tool that leverages the power of GPT-4
...It uses AI models to evaluate transcripts and identify highlight moments, then processes video clips accordingly. The system integrates FFmpeg and OpenCV to crop videos dynamically, often using face detection to keep subjects centered. It is designed for content creators who want to generate short videos quickly without manual editing. The workflow includes downloading source videos, analyzing content, segmenting highlights, and exporting finished clips. It supports multiple video formats and is configurable for different use cases. ... -
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finetuner
Task-oriented finetuning for better embeddings on neural search
...With Finetuner, you can easily enhance the performance of pre-trained models, making them production-ready without extensive labeling or expensive hardware. Create high-quality embeddings for semantic search, visual similarity search, cross-modal text image search, recommendation systems, clustering, duplication detection, anomaly detection, or other uses. Bring considerable improvements to model performance, making the most out of as little as a few hundred training samples, and finish fine-tuning in as little as an hour. -
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MMOCR
OpenMMLab Text Detection, Recognition and Understanding Toolbox
MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the corresponding downstream tasks including key information extraction. It is part of the OpenMMLab project. The toolbox supports not only text detection and text recognition, but also their downstream tasks such as key information extraction. The toolbox supports a wide variety of state-of-the-art models for text detection, text recognition and key information extraction. ... -
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wxMEdit
wxMEdit, Cross-platform Text/Hex Editor, Improved Version of MadEdit
•Added automatically checking for updates •Added bookmark support •Added right-click context menu for each tab •Added purging histories support •Added selecting a line by triple click •Added FreeBASIC syntax file •Added an option to place configuration files into %APPDATA% directory under Windows •Improved support for Find/Replace •Improved Mac OS X support •Improved system integration under Windows •Improved encoding detection result •Improved Hex editing support •Added more choices for data format copying/pasting in Hex Area •Added new feature: Paste with Overwriting in Hex Area •Improved encoding support --Added grouping of encodings --Added new encodings: ISO-8859-16,CP1258,KOI8-R/U,GB18030,CP850,CP852,CP855,CP866,CP437 for ASCII-Art •Redesigned dialogs with Code::Blocks wxSmith •Updated translations --Added Spanish,Russian,German,Polish translation --Updated Chinese and Japanese translations •Other fixes and changes -
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Exadel CompreFace
Leading free and open-source face recognition system
...Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace. The system provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace. ...
