Start learning Python by focusing on libraries like OpenCV, NumPy, and Matplotlib, which are essential for image processing. Practice tasks like reading and displaying images (cv2.imread), filtering, and edge detection (cv2.Canny).
Explore advanced topics, such as feature extraction and object detection, using OpenCV functions or deep learning frameworks like TensorFlow and PyTorch. Use pre-trained models to implement tasks like image classification and segmentation.
Online tutorials, courses, and books, such as Python for Computer Vision with OpenCV and Deep Learning by Adrian Rosebrock, are excellent resources for structured learning. Building small projects will reinforce your skills.