explanation
Computer Vision: Facial Recognition Quickstart in Python is a course that builds deep learning models for discovering and understanding faces, feelings, gender, and age based on Python. This is the second course in a series of tutorials referencing Cars (Training Computer Vision series). The most important and most widely used components used in vision machines are explicit storage and face recognition. Using the techniques learned in this course, a computer can recognize one or more faces by extracting them from a single image or video, bringing them together with existing data, and matching them to faces contained in the images. Facial recognition is being used to reveal your face and is widely used by governments and agencies for management and security issues, and of course, it is also being used in everyday applications by programs such as unlocking your phone screen with your face. This course is a basic course for people who want to use facial recognition to help with Python without studying the complex math involved in deep learning processes.
In the Computer Vision: Face Recognition in Python quickstart course, you’ll learn:
- Secure storage and face recognition using images
- Secure storage and face recognition using file video live
- Notice the feeling in your face
- Gender – Age Prediction
Specification period
publisher: Udemy
Teachers: Avila City Nelson
Language: English
Education level: Beginner to advanced
Number of courses: 42
Duration: 4 hours 18 minutes
This course is called Computer Vision: Facial Recognition Quickstart in Python 2022-7.
precondition:
A well-equipped computer and a passion to dive into the world of computer vision-based facial recognition.
image
sample video
installation manual
After extracting, use the back player to select the desired view.
Subtitles: No (there are no subtitles in this course due to the periodic profile of the captured images)
Quality: 720
Changes:
Compared to the 2020/5 version, the 2022/1 version has increased the number of lessons by 45 and the total lesson time by 5 hours and 2 minutes.
download link
Password file: free download software
file size
6.02GB