MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 19 lectures (2h 27m) | Size: 993.9 MB
Celebrity Face recognition using opencv and dlib
What you'll learn:
How to recognize face in given set of images
Requirements
None
Description
Course Description
Learn to build a celebrity face recognition application
Build a strong foundation in face recognition Systems with this tutorial for beginners.
Understanding of Face Recognition
Train a model to recognize a celerity face
Predict celebrity name for a given celebrity image
Support Vector Machine classification algorithm
Histogram of Oriented Gradients
A Powerful Skill at Your Fingertips Faces recognition has become popular in recent years due to its extensive use in criminal surveillance, amazon x-ray. The face recognition process identifies faces in an image and facial expressions. Research scientists, neurologists, and psychologists use this process extensively to understand how behavior and another part of the body are affected by facial expressions.
Learning the fundamentals of a face recognition system puts a powerful and handy tool at your fingertips. Python and Jupyter are free, easy to learn, have excellent documentation.
Jobs in the face recognition systems area are plentiful, and learning underlying technologies like HOG, SVM will give you a strong edge.
face recognition systems Systems are becoming very popular. Amazon Prime Video is a famous example of face recognition systems in action. face recognition systems are vital in finding the correct images in the big repository of videos. Learning face recognition with SVM will help you become a face recognition system developer who is in high demand.
Content and Overview
This course teaches you how to build recommendation systems using open-source Python, face recognition library, and Jupyter framework. You will work along with me step by step to build the following answers.
Build a training program that traverses through a set of images and train a model using supervised learning
Build a real-world inference application that takes in an image, predicts celebrity name, and draw a rectangle with a name around the face
What am I going to get from this course?
Learn to build training and inference to recognize celebrities in an image from a professional trainer from your own desk.
Over 10 lectures teaching you how to build real-world recommendation systems
Suitable for beginner programmers and ideal for users who learn faster when shown.
Visual training method, offering users increased retention and accelerated learning.
Breaks even the most complex applications down into simplistic steps.
Offers challenges to students to enable the reinforcement of concepts. Also, solutions are described to validate the challenges.
Who this course is for
Beginner Python developers who are curious about recommendations
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