10最好的人脸检测教程推荐

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特写 iPhone,显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 人脸检测 技能并获得 人脸检测 证书。

在这篇博客文章中,我们的专家汇总了 10 个精选列表 最好的 人脸检测 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容!

10最好的人脸检测教程推荐

1. Building a Face Detection and Recognition Model From Scratch 经过 Yaswanth Sai Palaghat Udemy课程 我们的最佳选择

Using Machine Learning and Computer Vision

截至目前,超过 25598+ 人们已经注册了这门课程,而且已经结束了 316+ 评论.

课程内容
Introduction
Theory and Resources
Installing Libraries
Developing the model
Output

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2. Automated Multiple Face Recognition AI Using Python 经过 “Nishit Maru, Three Millennials” Udemy课程

“Learn about OpenCv Basics, Face Recognition in an image, Automation of Face Recognition System using User Inputs”

截至目前,超过 19678+ 人们已经注册了这门课程,而且已经结束了 227+ 评论.

课程内容
Introduction
Basics of Computer Vision And OpenCv
Understanding Face Recognition using face_recognition library
Project: Automated Multiple Face Detection
Future Scope and Face Recognition Market

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3. Face Recognition using Python Language 经过 Xavier Chelladurai Udemy课程

Simple step by step approach for developing applications for Face Recognition

截至目前,超过 15506+ 人们已经注册了这门课程,而且已经结束了 206+ 评论.

课程内容
Introduction
Python Face Recognition Library
Load Face Image
Python Image Library (PIL) Tutorial
Display Face Images
Face Detection and Face Locations
Face Encodings
Face Recognition
Project Work – Face Recognition based Employee Attendance Management System

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4. Master Facial Recognition in .NET/C# using Aforge/Accord 经过 “Moses G Akomolafe, Cosmas” Udemy课程

Face/Object Detection made Simple

截至目前,超过 6959+ 人们已经注册了这门课程,而且已经结束了 20+ 评论.

课程内容
Introduction
Environment Setup
Face Detection
Live Capture
Image Effects
Passport Validation

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5. Computer Vision: Face Recognition Quick Starter in Python 经过 Abhilash Nelson Udemy课程

“Python Deep Learning based Face Detection, Recognition, Emotion , Gender and Age Classification using all popular models”

截至目前,超过 4739+ 人们已经注册了这门课程,而且已经结束了 255+ 评论.

课程内容
Course Introduction and Table of Contents
Introduction to Face Recognition
Environment Setup: Installing Anaconda Package
Python Basics (Optional)
Setting up Environment – Additional Dependencies (With DLib Fixes)
(Optional) DLib Error : Downgrading Python and Fixing
Introduction to Face Detectors
Face Detection Implementation
Optional: cv2.imshow() Not Responding Issue Fix
Realtime face detection from WebCam
Video Face Detection
Realtime face detection – Face Blurring
Real-time Facial Expression Detection – Installing Libraries
Real-time Facial Expression Detection – Implementation
Video Facial Expression Detection
Image Facial Expression Detection
Real-time Age and Gender Detection Introduction
Real-time Age and Gender Detection Implementation
Image Age and Gender Detection Implementation
Introduction to Face Recognition
Face Recognition Implementation
Realtime Face Recognition
Video Face Recognition
Face Distance
Face Landmarks Visualization
Multi Face Landmarks
Multi Face Landmarks from Real-time and Pre-saved Video
Face Makeup Using Face Landmarks
Real-time Face Makeup
Face Detection using Other popular libraries Intro
Face Detection Image using Haar Cascade
Video and Realtime Face Detection using Haar Cascade
Face Detection using HOG Introduction
Face Detection from Image using HOG
Face Detection from Video and Webcam using HOG
SSD Face Detection Introduction
Face Detection from Image using SSD
Face Detection From Video and Webcam using SSD
Face Detection from Image using MMOD
Face Detection From Video and Webcam using MMOD
Face Detection Image using MTCNN – introduction
Face Detection Image using MTCNN
Quick Comparison of Face Detection Techniques
Face Alignment using Dlib
Face Alignment for Video and Webcam
Popular Face Recognition Techniques Introduction
Eigenface Fisherface LBPH Concepts Explained
Eigenface Fisherface LBPH Preparing Dataset Installing Prerequisites
Eigenface Fisherface LBPH – Implementing Face Detection function
Eigenface Fisherface LBPH – Implementing Preprocessing
Eigenface Fisherface LBPH – Implementing Training and Prediction
Saving and loading the pretrained model
Video and Realtime Face Recognition using pretrained model
Eigenface Fisherface LBPH Quick Comparison
VGG Face Introduction
VGGFace Face Verification
VGGFace Face Verification video and realtime
FaceNet. OpenFace and DeepFace Models Introduction
Installing DeepFace framework
DeepFace face detection and alignment
DeepFace face verification
DeepFace face recognition
DeepFace face analysis
SOURCE CODE AND FILES ATTACHED

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6. Face Recognition A-Z: Hands-On Build Train & Deploy 经过 “Gusksra R, Data Science Anywhere” Udemy课程

“Develop & Deploy Face Recognition, Facial Emotion using OpenCV, Machine Learning, Django & Database in Python in Heroku”

截至目前,超过 2525+ 人们已经注册了这门课程,而且已经结束了 89+ 评论.

课程内容
Introduction
Setting Up Course
OpenCV Crash Course
Practice Test
Phase-1: Face Recognition Project (Person Identity)
Facial Emotion Recognition
Pipeline All Models
Phase-2: Setting Up Web App Project
Django Basics
Face Recognition Webapp with Django
Styling Django WebApp with Bootstrap (CSS)
Phase-3: Deploy Face Recognition Django WebApp in Heroku Cloud
Extra

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7. Face Mask Recognition: Deep Learning based Desktop App 经过 “Gusksra R, Data Science Anywhere” Udemy课程

“Learn and Build Face Recognition for Face Mask Detection Desktop App using Python, TensorFlow 2, OpenCV, PyQT, Qt”

截至目前,超过 2273+ 人们已经注册了这门课程,而且已经结束了 56+ 评论.

课程内容
Introduction
Setting Up Project
Data Preparation & Preprocessing
Face Recognition Model for Mask Identification with Deep Learning
Predictions with Face Recognition model for Face Mask
PyQt Basics
Desktop App with PyQt
BONUS

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8. Facial recognition using Raspberry Pi and OpenCV 经过 “Venkatesh Varadachari, Satyajeet Sah” Udemy课程

Learn how to detect the human faces and eyes in any image and build your own image puzzle using Python

截至目前,超过 694+ 人们已经注册了这门课程,而且已经结束了 92+ 评论.

课程内容
Introduction
Programming the webcam
Detecting human faces
Face and eye detection
Image Puzzle

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9. Develop Opencv based Facial recognition system using c# 经过 Maria Khalid Udemy课程

This course is specially designed for face detection and recognition by capturing faces in real time and display result

截至目前,超过 636+ 人们已经注册了这门课程,而且已经结束了 129+ 评论.

课程内容
Face Detection and Recognition

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10. Deep Learning in Practice III: Face Recognition 经过 Anis Koubaa Udemy课程

“Face recognition using Python, openCV, MTCNN and FaceNet with Tensorflow and Keras”

截至目前,超过 174+ 人们已经注册了这门课程,而且已经结束了 29+ 评论.

课程内容
Introduction
Face Recognition: Concepts and Theoretical Background
Hands-on I: Create a face embedding using FaceNet in TF Keras
Hands-on II: Recognize a face in an image
Develop your face recognition system

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下面是一些关于学习的常见问题人脸检测

学习人脸检测需要多长时间?

“学习人脸检测需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求,每个人都在不同的场景下工作,所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题:你想学习 人脸检测 是为了什么?你的出发点在哪里?您是初学者还是有使用 人脸检测 的经验?你能练习多少?每天1小时?每周40小时? 查看本课程关于 人脸检测.

人脸检测 学起来容易还是难?

不,学习 人脸检测 对大多数人来说并不难。检查这个 关于如何学习的课程 人脸检测 立刻!

如何快速学习人脸检测?

学习 人脸检测 最快的方法是先得到这个 人脸检测 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 人脸检测?

如果您想探索和学习 人脸检测,那么 Udemy 为您提供了学习 人脸检测 的最佳平台。查看此 关于如何学习的课程 人脸检测 立刻!