LinkedIn – OpenCV for Python Developers 2023-1

OpenCV for Python Developers Course. This course provides a comprehensive introduction to the OpenCV library for Python developers and teaches how to use it for image processing, facial recognition, and object recognition. OpenCV is one of the most popular professional image processing tools used in security, marketing, and photography applications. The course begins by installing and setting up a development environment on Mac, Windows, and Linux with Python 3. Participants will be introduced to the types of data and images in OpenCV and learn how to manipulate pixels and images. The course instructor, Patrick W. Crawford, will teach you how to read video streams and create custom user interfaces in real time. It then moves on to more advanced topics such as object, face, and feature recognition, including techniques such as pattern matching and pre-trained machine learning models. The course combines theoretical concepts with practical exercises to help participants fully master the topics.

What you will learn

• Installing and Configuring OpenCV: How to set up the OpenCV development environment on Mac, Windows, and Linux operating systems, as well as use it with Google Colab.
• Basic image operations: Learn to manipulate pixels, work with data types and color channels, as well as apply filters such as blur, dilation, and erosion.
• Working with video inputs: How to use video streams as inputs and create custom video user interfaces.
• Object Recognition: Learn techniques such as segmentation and binary images, simple and adaptive thresholding, skin tone detection, and using contours to identify objects.
• Face and feature recognition: Introduction to template matching and using the Haar cascading method for face and eye recognition.

This course is suitable for people who:

• Python developers: People who want to use the OpenCV library for image processing, object and face recognition in their applications.
• People interested in machine learning and computer vision: This course is a great introduction to the world of computer vision with one of the most popular tools available.
• Students and researchers: Those who need to use image processing tools in their research or course projects.
• Security, marketing, and photography professionals: People who want to use face and object recognition capabilities for professional applications.

OpenCV for Python Developers course details

• Publisher: LinkedIn
• Instructor: Patrick W. Crawford
• Education level: Intermediate
• Training duration: 3 hours and 5 minutes

Course topics

Course images

Sample course video

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