People tracker on the Internet: OSINT analysis and research tool by Jose Pino
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Updated
May 5, 2020 - Python
People tracker on the Internet: OSINT analysis and research tool by Jose Pino
Countly helps you get insights from your application. Available self-hosted or on private cloud.
Real-Time and Accurate Multi-Person Pose Estimation&Tracking System
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Visual Tracking Paper List
Easy activity tracking for models - similar to Github's Public Activity
Laravel Stats Tracker
Privacy Badger is a browser extension that automatically learns to block invisible trackers.
Google Analytics plugin for Vue
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).
Deep Learning Based Free Mobile Real-Time Face Landmark Detector.
DaybydayCRM an open-source CRM, to help you keep track of your daily workflow.
A container repository for my public web hacks!
Joint Detection and Embedding for fast multi-object tracking
Let's make an annoyance free, better open internet, altogether!
Visual tracking library based on PyTorch.
Project management directly from the TODOs in your codebase
Official Mixpanel Android SDK
Track the location of every Wi-Fi device (
Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020
JavaScript/WebGL real-time face tracking and expression detection library. Build your own emoticons animated in real time in the browser! SVG and THREE.js integration demos are provided.
Video++, a C++14 high performance video and image processing library.
Map Matching based on GraphHopper
Tracking made easy: Don’t fool around with adding tracking and analytics partials to your app and concentrate on the things that matter.
[CVPR'19 Oral] Deeper and Wider Siamese Networks for Real-Time Visual Tracking
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