Computer vision projects with Python 3 / [with] Matthew Rever, PhD EE.

Format:

Video

Contributor:

Packt Publishing, production company.

Series:

Academic Video Online

Language:

English

Subjects (All):

TensorFlow.

Computer vision.

Image processing.

Python (Computer program language).

Machine learning.

Genre:

Instructional films.

Physical Description:

1 online resource (139 minutes)

Place of Publication:

Birmingham, England : PACKT Publishing, 2018.

Language Note:

In English.

System Details:

video file

Summary:

Explore Python's powerful tools for extracting data from images and videos. About This Video: Build powerful computer vision tools in Python with clear and concise code. Discover deep learning methods that can be applied to a wide variety of problems in computer vision. Crisp videos that take you directly to a practical approach to solving real-world examples. In Detail: The Python programming language is an ideal platform for rapidly prototyping and developing production-grade codes for image processing and computer vision with its robust syntax and wealth of powerful libraries. This video course will start by showing you how to set up Anaconda Python for the major OSes with cutting-edge third-party libraries for computer vision. You'll learn state-of-the-art techniques to classify images and find and identify humans within videos. Next, you'll understand how to set up Anaconda Python 3 for the major OSes (Windows, Mac, and Linux) and augment it with the powerful vision and machine learning tools OpenCV and TensorFlow, as well as Dlib. You'll be taken through the handwritten digits classifier and then move on to detecting facial features and finally develop a general image classifier. By the end of this course, you'll know the basic tools of computer vision and be able to put it into practice.

Participant:

Presenter, Matthew Rever.

Notes:

Title from resource description page (viewed April 18, 2019).

OCLC:

1045428874