Pigo

Pigo هي مكتبة رؤية حاسوب مكتوبة بلغة Go لتحديد مواقع الوجوه البشرية في الصور ومقاطع الفيديو. توفر أدوات لاكتشاف الوجوه، وتحديد معالم الوجه، وتحديد موقع بؤبؤ العين والعين.

تم تنفيذ المشروع بلغة Go الخالصة لضمان التنفيذ المحمول دون تبعيات خارجية. وهو يدعم التجميع إلى WebAssembly، مما يتيح تشغيل اكتشاف الوجوه ومعالجة الصور مباشرة في متصفحات الويب دون الحاجة إلى خادم خلفي.

تشمل قدرات المكتبة اكتشاف الوجوه في الوقت الفعلي باستخدام مصنفات متتالية (classifier cascades) وتحديد موقع تتبع النظرة. تقوم برسم نقاط تشريحية على الوجه لتحليل الهندسة الهيكلية والتعبيرات باستخدام مجموعات الأشجار العشوائية.

Features

Face Detection - Provides computer vision capabilities to locate human faces in images and video streams.
WebAssembly-Based Detection - Executes face detection directly in the browser via WebAssembly for real-time performance without a backend.
Facial Landmark Analysis - Provides tools for mapping and analyzing specific anatomical points on the human face for structural geometry.
Facial Landmark Detection - Provides a tool for identifying anatomical points on a face to analyze structural geometry and expressions.
Go Computer Vision - Implements fast image recognition and facial detection features within the Go language.
Eye Localization - Detects the position and boundaries of eyes within a previously detected face.
Pupil and Eye Localization - Pinpoints the precise coordinates of eyes and pupils within a detected face.
Web-Based Computer Vision - Provides a computer vision implementation that runs face detection directly in web browsers without a backend.
Cascade Classifier Detections - Implements face detection using a series of filters through cascade classifiers with Haar-like features.
Client-Side Image Processing - Executes face detection logic directly in the web browser to avoid sending data to a server.
Go Libraries - A library written in Go for locating human faces in images and video streams.
Pure Go Portings - Implemented entirely in pure Go to ensure portable execution without external C dependencies.
WebAssembly Compilation - Compiles detection logic into WebAssembly binaries to enable high-performance image processing directly in the browser.
Eye Gaze Tracking - Pinpoints the exact coordinates of pupils and eyes to determine where a person is looking.
Random Forest Ensembles - Uses randomized tree ensembles to identify facial landmarks and pupil coordinates based on pixel intensity.
AI and Machine Learning - Face detection library.

سجل النجوم

esimovpigo

Name: esimov/pigo
Author: esimov

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4,710 نجوم323 تفرعاتGoMIT3 مشاهدات

Pigo

Features

Face Detection - Provides computer vision capabilities to locate human faces in images and video streams.
WebAssembly-Based Detection - Executes face detection directly in the browser via WebAssembly for real-time performance without a backend.
Facial Landmark Analysis - Provides tools for mapping and analyzing specific anatomical points on the human face for structural geometry.
Facial Landmark Detection - Provides a tool for identifying anatomical points on a face to analyze structural geometry and expressions.
Go Computer Vision - Implements fast image recognition and facial detection features within the Go language.
Eye Localization - Detects the position and boundaries of eyes within a previously detected face.
Pupil and Eye Localization - Pinpoints the precise coordinates of eyes and pupils within a detected face.
Web-Based Computer Vision - Provides a computer vision implementation that runs face detection directly in web browsers without a backend.
Cascade Classifier Detections - Implements face detection using a series of filters through cascade classifiers with Haar-like features.
Client-Side Image Processing - Executes face detection logic directly in the web browser to avoid sending data to a server.
Go Libraries - A library written in Go for locating human faces in images and video streams.
Pure Go Portings - Implemented entirely in pure Go to ensure portable execution without external C dependencies.
WebAssembly Compilation - Compiles detection logic into WebAssembly binaries to enable high-performance image processing directly in the browser.
Eye Gaze Tracking - Pinpoints the exact coordinates of pupils and eyes to determine where a person is looking.
Random Forest Ensembles - Uses randomized tree ensembles to identify facial landmarks and pupil coordinates based on pixel intensity.
AI and Machine Learning - Face detection library.

بدائل مفتوحة المصدر لـ Pigo

مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع Pigo.

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عرض جميع البدائل الـ 30 لـ Pigo

الأسئلة الشائعة

ما هي وظيفة esimov/pigo؟

ما هي الميزات الرئيسية لـ esimov/pigo؟

الميزات الرئيسية لـ esimov/pigo هي: Face Detection, WebAssembly-Based Detection, Facial Landmark Analysis, Facial Landmark Detection, Go Computer Vision, Eye Localization, Pupil and Eye Localization, Web-Based Computer Vision.

ما هي البدائل مفتوحة المصدر لـ esimov/pigo؟

تشمل البدائل مفتوحة المصدر لـ esimov/pigo: ageitgey/face_recognition — This is a Python facial recognition library designed to detect, encode, and identify human faces in images and video.… serengil/deepface — Deepface is a comprehensive deep learning library for facial recognition and demographic analysis. It provides a… accord-net/framework — This project is a scientific computing framework for the .NET ecosystem, providing a comprehensive suite of libraries… eduardolundgren/tracking.js — tracking.js is a browser computer vision library written in JavaScript for performing real-time image analysis and… 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… jeeliz/jeelizfacefilter — jeelizFaceFilter is a browser-based computer vision engine and WebGL face tracking library designed for AR filters and…