OpenCV Tutorial - Develop Computer Vision Apps in the Cloud With Python

Develop computer vision applications in the cloud using OpenCV and Python through this comprehensive tutorial. Learn to create AI and machine learning-powered vision apps on Google Colab. Master techniques such as changing color profiles, edge detection, image manipulation, noise removal, and drawing shapes on images. Progress through intermediate exercises in color detection, face detection, and shape detection. Apply your skills to real-world projects including ball tracking and face recognition. Access accompanying code on Google Colab and benefit from a structured curriculum covering fundamental to advanced OpenCV concepts.

Introduction.
Lesson 1: Changing color profiles in an image.
Image Properties.
Lesson 2: Edge Detection.
Erosion and Dilation.
Lesson 3: Image Manipulation-Noise Removal.
Lesson 4: Drawing Shapes and Writing Text on Images.
Intermediate Exercise 1: Color Detection.
Intermediate Exercise 2: Face Detection.
Intermediate Exercise 3: Shape Detection.
Project 1: Ball Tracking.
Project 2: Face Recognition.