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Img_name = "dataset/opencv_frame_.jpg".format(img_counter)įollowing is what you need for this book: If you feel this book is for you, get your copy today!Īll of the code is organized into folders.įaceresize = cv2.resize(detected_face, (img_size,img_size))
- Evaluate your model and optimize and integrate it into your application to operate at scale.
- Understand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpainting.
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Build neural networks or adjust parameters to optimize the performance of models.Use TensorFlow for various visual search methods for real-world scenarios.Explore methods of feature extraction and image retrieval and visualize different layers of the neural network model.This book covers the following exciting features: By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. As you advance, you'll learn to use visual search methods using transfer learning. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. This is the code repository for Mastering Computer Vision with TensorFlow 2.x, published by Packt.īuild advanced computer vision applications using machine learning and deep learning techniques What is this book about?Ĭomputer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. Mastering Computer Vision with TensorFlow 2.x