OpenCV for Python Developers

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Patrick W. Crawford

3:05:57

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01 - Introduction

01 - Image processing with OpenCV.mp4

00:53

02 - What you should know.mp4

00:58

03 - How to use the exercise files.mp4

00:19

02 - 1. Install and Configure OpenCV

01 - Python and OpenCV.mp4

02:01

02 - Using virtual environments.mp4

01:36

03 - Install on Mac OS.mp4

04:50

04 - Install on Windows.mp4

06:23

05 - Install on Linux Prerequisites.mp4

05:45

06 - Install on Linux Compile OpenCV.mp4

01:51

07 - Using OpenCV with Google Colab.mp4

05:18

08 - Test the install.mp4

03:00

03 - 2. Basic Image Operations

01 - Get started with OpenCV and Python.mp4

05:36

02 - Get started with OpenCV and Python Google Collab.mp4

06:05

03 - Access and understand pixel data.mp4

04:12

04 - Data types and structures.mp4

07:36

05 - Image types and color channels.mp4

08:51

06 - Pixel manipulations and filtering.mp4

04:41

07 - Blur, dilation, and erosion.mp4

05:50

08 - Scale and rotate images.mp4

05:14

09 - Use video inputs.mp4

04:57

10 - Create custom interfaces.mp4

04:50

11 - Challenge Create a simple drawing app.mp4

02:15

12 - Solution Create a simple drawing app.mp4

07:32

04 - 3. Object Detection

01 - Segmentation and binary images.mp4

01:38

02 - Simple thresholding.mp4

06:34

03 - Adaptive thresholding.mp4

04:38

04 - Skin detection.mp4

06:31

05 - Introduction to contours.mp4

01:38

06 - Contour object detection.mp4

06:56

07 - Area, perimeter, center, and curvature.mp4

08:19

08 - Canny edge detection.mp4

08:01

09 - Object detection overview.mp4

01:59

10 - Challenge Assign object ID and attributes.mp4

00:50

11 - Solution Assign object ID and attributes.mp4

10:05

05 - 4. Face and Feature Detection

01 - Overview of face and feature detection.mp4

01:14

02 - Introduction to template matching.mp4

02:19

03 - Application of template matching.mp4

05:19

04 - Haar cascading.mp4

02:30

05 - Face detection.mp4

05:25

06 - Challenge Eye detection.mp4

00:59

07 - Solution Eye detection.mp4

05:32

06 - Conclusion

01 - Additional techniques.mp4

03:52

02 - Next steps.mp4

01:05

Description

OpenCV is a toolkit for advanced image recognition. It is among the most popular professional tools used for facial recognition and is being used in a wide variety of security, marketing, and photography applications. This course offers Python developers a detailed introduction to OpenCV, starting with installing and configuring your Mac, Windows, or Linux development environment along with Python 3. Learn about the data and image types unique to OpenCV, and find out how to manipulate pixels and images. Instructor Patrick W. Crawford also shows how to read video streams as inputs, and create custom real-time video interfaces. Then comes the real power of OpenCV: object, facial, and feature detection. Learn how to leverage the image-processing power of OpenCV using methods like template matching and pre-train machine learning models to identify and recognize features.

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Python

OpenCV

Patrick W. Crawford

Instructor's Courses

Patrick is a customer solutions engineer and technology consultant who has a passion for solving client and community problems with modern solutions. He has a range of experiences including detailed data center assessments and migrations, online course authoring, and TV visual effects pipeline development. Previous experience in both low level hardware and higher level software design including FPGA hardware development, native mobile app development, and 3D application plugin development. Experienced with small and large group projects and team management in a variety of contexts, from app development groups, company branding projects, and music video realization and marketing. Experience in consulting positions and in managing overall team structures and training. General 3D artist with experience in modeling, rigging and animating, and pipeline development with client-facing industry experience in mobile app development, graphic design, animation, and marketing.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.