Chapter 1 school curriculum guide
includes an overview of courses, curriculum, learning introduce aspects of the premise, so that students have an understanding of computer vision Chapter 2 Getting Started with Computer Vision introduce the relevant knowledge and OpenCV computer entry by both TensorFlow. OpenCV focus is added to all relevant basic image processing, such as the concept of a pixel, encapsulation format file, gradation, color channels and the like. TensorFlow focuses Through the introduction of constants, variables, matrices, etc., to learn and master the basic use of TensorFlow. ... Chapter 3 Computer Vision strengthen the geometric transformation of this chapter is mainly to introduce the geometric transformation of the image. Geometric transformations name suggests is the outline of the picture to suit different operating scenarios. Such as scaling, cropping, displacement, mirroring, rotation, affine transformation and the like. Chapter 4 of the image effects reinforcing Computer Vision & drawing text segment one currently video filter is relatively fire on a computer algorithm processing direction, in the present gray binding section, the bottom plate, mosaic, frosted glass, edge detection, oil effects to introduce the use of video filter Chapter 5 computer vision strengthen the image beautify everyone has a beauty of the heart, you can dermabrasion whitening, brightness enhancement in this section, histogram equalization, image filtering and other methods beautify their own photos. Chapter 6 of machine learning computer vision to strengthen this section will combine haar + adaboost and hog + svm respectively, face recognition, cartoon lion recognition. We will introduce a recognition from the train to a complete machine-learning case. Chapter 7 Digital Recognition by knn, cnn two ways, combined with matrix dimensions of each method change, deeper explanation handwritten numeral recognition case, telling different stories. Chapter 8, "brush face" recognition
On the basis of Chapter VI, by identifying a specific face to achieve the effect of "brush face". The architecture includes a sample collection case + image pre-processing and neural network trained to recognize. It can be said from a training sample to complete the project. Chapter 9 curriculum summary of the overall curriculum review and summary