Practical Image Editing with OpenCV in Python

Working with visual data is a core skill in modern software development, data science, and computer vision. This text-based course provides a clear, step-by-step pathway to mastering image manipulation using the powerful OpenCV library in Python. You will transition from understanding basic image structures to confidently performing programmatic edits. By working through structured explanations and code-focused exercises, you will learn how to manipulate pixels, adjust dimensions, and overlay text to prepare images for real-world applications. What you'll learn: Understand how images are represented as NumPy arrays and manage color channels; Crop and slice images precisely using coordinate-based indexing; Resize and scale images while maintaining aspect ratios and selecting proper interpolation methods; Apply geometric transformations including rotation, translation, and flipping; Draw shapes and write text overlays on images with custom fonts and colors; Write clean Python code using modern type hints and efficient array operations. The course begins with foundational concepts of digital images and OpenCV setup. You will then progress through essential editing techniques, concluding with practical text and shape rendering methods to annotate your visual data. This course is designed for beginners who have a basic understanding of Python. No prior experience with image processing or computer vision is required. Start reading today to build your image editing skills with Python and OpenCV.