This book, with Python 3 as the development language and use of the currently dominant deep learning frameworks for demonstration, mainly introduces the application and engineering practice of deep learning in computer vision. The main content of this book is as follows: overview of OpenCV, introduction to deep learning frameworks, image classification, object detection and identification, image segmentation, image search and generation; the deep learning frameworks involved refer to PyTorch, TensorFlow, Keras, Chainer and MXNet. Through reading this book, readers will understand the application of deep learning in various domains of computer vision and its latest progress. With detailed explanations of rich practical cases, this book features strong practicability and professionalism.