Detecting and Recognizing Faces in Python
Detecting and Recognizing Faces in Python, available at $19.99, has an average rating of 4, with 8 lectures, based on 2 reviews, and has 12 subscribers.
You will learn about Use FaceDetect framework Detect faces in images, videos and webcams Recognize faces images, videos and webcams Extract faces from images Draw facial features on top of detected faces in images, videos and webcams Extend the FaceDetect framework This course is ideal for individuals who are Beginner Python developers or Novice Python developers or Developers curious about machine learning or Developers curious about face detection and recognition algorithms It is particularly useful for Beginner Python developers or Novice Python developers or Developers curious about machine learning or Developers curious about face detection and recognition algorithms.
Enroll now: Detecting and Recognizing Faces in Python
Summary
Title: Detecting and Recognizing Faces in Python
Price: $19.99
Average Rating: 4
Number of Lectures: 8
Number of Published Lectures: 8
Number of Curriculum Items: 8
Number of Published Curriculum Objects: 8
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Use FaceDetect framework
- Detect faces in images, videos and webcams
- Recognize faces images, videos and webcams
- Extract faces from images
- Draw facial features on top of detected faces in images, videos and webcams
- Extend the FaceDetect framework
Who Should Attend
- Beginner Python developers
- Novice Python developers
- Developers curious about machine learning
- Developers curious about face detection and recognition algorithms
Target Audiences
- Beginner Python developers
- Novice Python developers
- Developers curious about machine learning
- Developers curious about face detection and recognition algorithms
If you are looking for a quick and efficient way to start detecting and recognizing faces in your Python application, this course is for you!
Learn very quickly how to use the FaceDetect framework and integrate it into your application. FaceDetect is a face detection and recognition framework built in Python on top of the work of several open source projects and models with the hope to reduce the entry barrier for developers and to encourage them to focus more on developing innovative applications that make use of face detection and recognition.
The course is designed to provide students, who have a basic knowledge of Python, with the necessary tools to start using the FaceDetect framework.
We recommend taking this course, if you are looking to:
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Build your next big application that uses face recognition quickly
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Detect and recognize faces in images, videos and webcams
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Draw facial features
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Extract detected faces from images, videos and webcams
Coming out of this course, the learners will understand the principles that the FaceDetect framework uses to approach face detections and recognitions. That outcome underlines their acquisition of the following skills:
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Ability to set up a Python environment capable of running the FaceDetect framework
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Understanding the FaceDetect code structure and philosophy
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Understanding the settings that could be passed on to the FaceDetect framework
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Detect faces in images, videos and webcams in a few code manipulations
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Recognize faces in images, videos and webcams in few code manipulations
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Draw specific features on top of images using code
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Extract faces from an image
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Extend the features of the framework
It is a practical and fun course for enthusiasts to take in their free time to explore face recognition and include it in their applications.
Course Curriculum
Chapter 1: Learning FaceDetect
Lecture 1: Introduction
Lecture 2: Getting started with the FaceDetect framework
Lecture 3: Understanding the FaceDetect framework
Lecture 4: Detecting faces in images, videos and webcams
Lecture 5: Extracting faces from images
Lecture 6: Drawing facial features in images, videos and webcams
Lecture 7: Recognizing faces in images, videos and webcams
Lecture 8: Extending the FaceDetect framework
Instructors
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Dory Azar
UX Director, Owner and creator of the Caligrafy framework
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 0 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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