Udemy - Detecting and Recognizing Faces in Python

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Udemy - Detecting and Recognizing Faces in Python (Size: 1.1 GB)
  0 109.2 KB
  1. Introduction.mp4 150.1 MB
  1. Introduction.srt 19 KB
  1 190.6 KB
  1.1 Lecture notes.html 102.4 B
  1.2 Github page.html 102.4 B
  2 407.7 KB
  2. Getting started with the FaceDetect framework.mp4 153.1 MB
  2. Getting started with the FaceDetect framework.srt 31.9 KB
  2.1 Github page.html 102.4 B
  2.2 Lecture notes.html 102.4 B
  3. Understanding the FaceDetect framework.mp4 151.4 MB
  3. Understanding the FaceDetect framework.srt 29.9 KB
  3 57.2 KB
  3.1 Lecture notes.html 102.4 B
  3.2 Github page.html 102.4 B
  4. Detecting faces in images, videos and webcams.srt 34.2 KB
  4 396.7 KB
  4. Detecting faces in images, videos and webcams.mp4 189.8 MB
  4.1 Github page.html 102.4 B
  4.2 Lecture notes.html 102.4 B
  5. Extracting faces from images.srt 13.1 KB
  5 487.8 KB
  5. Extracting faces from images.mp4 76 MB
  5.1 Github page.html 102.4 B
  5.2 Lecture notes.html 102.4 B
  6. Drawing facial features in images, videos and webcams.mp4 125 MB
  6 114.8 KB
  6. Drawing facial features in images, videos and webcams.srt 17.9 KB
  6.1 Lecture notes.html 102.4 B
  6.2 Github page.html 102.4 B
  7. Recognizing faces in images, videos and webcams.mp4 94.9 MB
  7. Recognizing faces in images, videos and webcams.srt 15.2 KB
  7.1 Lecture notes.html 102.4 B
  7.2 Github page.html 102.4 B
  8. Extending the FaceDetect framework.mp4 192.2 MB
  8. Extending the FaceDetect framework.srt 38.9 KB
  8.1 Github page.html 102.4 B
  8.2 Lecture notes.html 102.4 B
  TutsNode.com.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
  ▲ 41 total files

Description


Description

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:

Build your next big application that uses face recognition quickly
Detect and recognize faces in images, videos and webcams
Draw facial features
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:

Ability to set up a Python environment capable of running the FaceDetect framework
Understanding the FaceDetect code structure and philosophy
Understanding the settings that could be passed on to the FaceDetect framework
Detect faces in images, videos and webcams in a few code manipulations
Recognize faces in images, videos and webcams in few code manipulations
Draw specific features on top of images using code
Extract faces from an image
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.
Who this course is for:

Beginner Python developers
Novice Python developers
Developers curious about machine learning
Developers curious about face detection and recognition algorithms

Requirements

Good knowledge of Python 3.8+

Last Updated 1/2021

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