Face detection with OpenCV: Building Your Own Face Recognition System.
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Welcome to our comprehensive tutorial
Welcome to our comprehensive tutorial on Face Detection and Recognition using OpenCV! In this video, we'll take you through the entire process of building your own Face Recognition System from scratch.
What You'll Learn:
Understand the fundamentals of face detection and recognition.
Set up your development environment with Python and OpenCV.
Implement face detection using Hear Cascades and deep learning-based models.
Train a face recognition model to identify individuals.
Create a real-time face recognition application with OpenCV.
Whether you're a beginner looking to explore the world of computer vision or an experienced developer interested in adding face recognition capabilities to your projects, this video is tailored to meet your needs. We'll provide clear explanations, practical examples, and step-by-step guidance throughout the tutorial.
Timestamps:
00:00 - Introduction
01:20 - Installing OpenCV and Python
02:45 - Face Detection with Haar Cascades
05:30 - Deep Learning-Based Face Detection
08:15 - Training a Face Recognition Model
12:10 - Building a Real-Time Face Recognition App
15:45 - Conclusion and Next Steps
Supported files can be download from - https://drive.google.com/drive/folder...
Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest tutorials on computer vision, machine learning, and AI.
What You'll Learn:
Understand the fundamentals of face detection and recognition.
Set up your development environment with Python and OpenCV.
Implement face detection using Hear Cascades and deep learning-based models.
Train a face recognition model to identify individuals.
Create a real-time face recognition application with OpenCV.
Whether you're a beginner looking to explore the world of computer vision or an experienced developer interested in adding face recognition capabilities to your projects, this video is tailored to meet your needs. We'll provide clear explanations, practical examples, and step-by-step guidance throughout the tutorial.
Timestamps:
00:00 - Introduction
01:20 - Installing OpenCV and Python
02:45 - Face Detection with Haar Cascades
05:30 - Deep Learning-Based Face Detection
08:15 - Training a Face Recognition Model
12:10 - Building a Real-Time Face Recognition App
15:45 - Conclusion and Next Steps
Supported files can be download from - https://drive.google.com/drive/folder...
Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest tutorials on computer vision, machine learning, and AI.
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در تاریخ 1402/06/21 منتشر شده
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289
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