LinkedIn – Building Computer Vision Applications with Python 2022-8

Building Computer Vision Applications with Python. This course teaches you how to implement image processing operations from scratch with Python and gain a better understanding of how common tools like OpenCV work. Computer vision is a broad technology that is used in mobile cameras, games, social networks, and graphics software. In this course, Eduardo Corpeno teaches you how to use Python to create image processing algorithms to familiarize yourself with the fundamental concepts of the field. He explores the details of the algorithms to better understand their inner workings and to make better use of existing tools in the future. Programming challenges are also provided so you can implement your own solutions and compare them with his answers. This course is designed for those who want to gain theoretical and practical knowledge in the field of image processing and computer vision.

What you will learn:

• Understanding the inner workings of Computer Vision
• Setting up a development environment with Anaconda and OpenCV
• Fundamentals of image processing, including image display and color encoding
• Managing Image Files and Understanding Resolution
• Performing Rotations and Flips on Images
• Converting color images to black and white with various Grayscale methods
• Using Adaptive Thresholding
• Apply various types of Filters (Convolution, Average, Median, Gaussian, Edge detection)
• Scaling images with Downscaling and Upscaling methods
• Performing Image Cuts and Stitching Two Images Together
• Understand and apply Morphological Modifications (Erosion, Dilation, Open, Close)
• Solving programming challenges to enhance hands-on learning

Who is this course suitable for?

• Those interested in the field of Computer Vision and Image Processing
• Python developers who want to learn the basics of image processing
• People who want to gain a deeper understanding of how image processing algorithms work
• Those who intend to use Computer Vision tools like OpenCV more effectively
• People looking to solve programming challenges in the field of image processing

Building Computer Vision Applications with Python Course Details

• Publisher: LinkedIn
• Instructor: Eduardo Corpeño
• Education level: Intermediate
• Training duration: 2 hours

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