OpenCV Library - Python Programming

Learn essential OpenCV library functions for computer vision programming in Python through this comprehensive tutorial covering image processing fundamentals. Master core image input/output operations using imread() and imwrite() functions for loading and saving images. Explore color space manipulation with cvtColor() to convert between different color formats, and apply bitwise operations using bitwise_not() for image transformations. Discover image arithmetic operations through add() and addWeighted() functions for combining and blending images. Practice drawing geometric shapes on images using rectangle(), circle(), and line() functions for annotation and visualization purposes. Learn image concatenation techniques with hconcat() and vconcat() functions to combine multiple images horizontally and vertically. Understand how to access and work with image properties including shape and size attributes for image analysis. Master image cropping techniques to extract specific regions of interest from larger images. Explore image display functionality using imshow() and waitKey() functions for interactive image viewing. Gain expertise in image rotation using rotate(), getRotationMatrix2D(), and warpAffine() functions for geometric transformations. Additionally, discover the top 5 free websites for practicing coding skills to enhance your programming abilities beyond OpenCV.