Image Geometry with OpenCV: Rotate and Translate Images in Python

Digital image processing relies heavily on spatial transformations. Understanding how to programmatically shift and rotate images is essential for computer vision, data augmentation, and automated editing. This text-based course guides you through the fundamental mathematics and practical Python code needed to manipulate image coordinates. You will transition from manual image editing to writing clean, reproducible scripts that handle complex geometric transformations with precision. What you'll learn: Learn core image processing terminology and coordinate systems; Apply translation matrices to shift images along the X and Y axes; Rotate images programmatically around arbitrary pivot points using rotation matrices; Configure modern Python environments and manage dependencies using virtual environments; Utilize NumPy arrays for efficient pixel-level manipulations; Implement type hinting in your computer vision scripts for cleaner, more maintainable code. You will start with foundational concepts of pixel grids and coordinate spaces before moving on to practical coding exercises. Through step-by-step written explanations and code walkthroughs, you will build a solid toolkit for image geometry manipulation. This course is designed for beginner Python developers and aspiring computer vision enthusiasts, with no prior experience in image processing required. Start manipulating images programmatically today.