This course first introduces the development history of computer vision technology and image processing, traditional feature extraction and learning methods, and then introduces current hotspot technologies in computer vision, deep learning algorithms and models and their use in target detection and tracking, image classification and segmentation. And practical application tasks such as image style transfer and image compression sensing. The focus of this course is on the basis of understanding and mastering the basic methods and theoretical models, through the practice of practical application projects, to further promote students' comprehensive mastery of computer vision and image processing methods.