1,045 skills found · Page 9 of 35
Kazuhito00 / MOT Tracking By Detection PipelineTracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)
jiangyao-scu / JL DCF PytorchCode of JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection(CVPR2020)
shiivangii / SpotFakePlusThis repository contains code and dataset for the paper titled: SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning.
holden-mcgorin / UniPHMUnified PHM framework for Remaining Useful Life (RUL) prediction, fault diagnosis, fault detection, and anomaly detection for bearings, turbofan engines, and other industrial systems.
yiyepianzhounc / TED SCLA Toxic Euphemisms Detection Framework for Online Social Network Based On Contrastive Learning and Dual-channe Network Augmentationl
exoticlibraries / LibcesterA robust header-only unit testing framework for C and C++ programming language. Support function mocking, memory leak detection, crash report.
theonlyNischal / Classroom Attendance System Utilizing Viola Jones For Face Detection And LBPH For Face RecognitionThe face of a human is crucial for conveying identity. Computer scientists, Neuro scientists, and psychologists, all exploits this human feature using image processing techniques for commercial, and law enforcement applications. Likewise, this feature can be invited into classrooms to maintain records of students’ attendance. Con- temporary traditional way of recording attendance involves human intervention and requires cooperation of the students which is hectic and contribute towards waste of class time. An automated real-time classroom attendance system detects students from still image or video frame coming from a digital camera, and marks his/her attendance by recognizing them. The system utilizes Viola–Jones object detection framework which is capable of processing images extremely rapidly with high detec- tion rates. In the next stage, the detected face in the image is recognized using Local Binary Patterns Histogram.
VCDP / FFmpeg PatchThis repository contains a collection of FFmpeg* patches and samples to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in FFmpeg* framework.
Comcast / XGitGuardAI based Secrets Detection Python Framework
ai4cloudops / SecLLMHolmesSecLLMHolmes is a generalized, fully automated, and scalable framework to systematically evaluate the performance (i.e., accuracy and reasoning capabilities) of LLMs for vulnerability detection.
OpenKG-ORG / EasyDetectAn Easy-to-use Hallucination Detection Framework for LLMs.
LRFP-Team / BypasserThis is a developing rooting-layer system module for systematically bypassing environment detection related to LRFP for Android devices, where the abbreviation "LRFP" stands for Low-level, Rooting, Frameworks, and Plugins.
nexconnectio / PynnexPynneX provides a modern emitter-listener (signal-slot) pattern with thread safety, async support, and dynamic connection detection. Build decoupled architectures without heavy frameworks. It’s pure Python 3.10+; minimal overhead. Choose from multiple aliases (signal-slot or publisher-subscriber).
JanX2 / UniversalDetectorUniversalDetector.framework for Mac OS X: auto-detection of character sets/text encodings
a-akram-98 / Face LibFace Library is a 100% python open source package for accurate and real-time face detection and recognition. The package is built over OpenCV and using famous models and algorithms for face detection and recognition tasks. Make face detection and recognition with only one line of code. The Library doesn't use heavy frameworks like TensorFlow, Keras and PyTorch so it makes it perfect for production.
siriussecurity / Mitre Attack MappingMapping your datasources and detections to the MITRE ATT&CK Navigator framework.
CodeMonsterPHD / GaTector A Unified Framework For Gaze Object PredictionThis repository is the official implementation of GaTector, which studies the newly proposed task, gaze object prediction. In this work, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way. Particularly, a specific-general-specific (SGS) feature extractor is firstly proposed to utilize a shared backbone to extract general features for both scene and head images. To better consider the specificity of inputs and tasks, SGS introduces two input-specific blocks before the shared backbone and three task-specific blocks after the shared backbone. Specifically, a novel defocus layer is designed to generate object-specific features for object detection task without losing information or requiring extra computations. Moreover, the energy aggregation loss is introduced to guide the gaze heatmap to concentrate on the stared box. In the end, we propose a novel mDAP metric that can reveal the difference between boxes even when they share no overlapping area. Extensive experiments on the GOO dataset verify the superiority of our method in all three tracks, i.e., object detection, gaze estimation, and gaze object prediction.
StructuresComp / AgronavAgronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection
c2dc / AB TRAPThis is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model realization, and performance evaluation.
chriswritescode-dev / Consolelog.nvimA Neovim plugin that captures and displays console outputs as virtual text inline with your code. Features automatic framework detection, intelligent project setup, and comprehensive debugging capabilities for modern JavaScript development.
