Neural Network Computer Vision with Opencv 5: Build Computer Vision Solutions Using Python and Dnn Module
Nuti, Gopi Krishna
- 出版商: BPB Publications
- 出版日期: 2024-02-05
- 售價: $1,650
- 貴賓價: 9.5 折 $1,568
- 語言: 英文
- 頁數: 266
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9355516967
- ISBN-13: 9789355516961
-
相關分類:
影像辨識 Image-recognition、Python、程式語言、Computer Vision
海外代購書籍(需單獨結帳)
相關主題
商品描述
Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition. This book offers a practical roadmap to explore the nuances of image processing with detailed discussions on each topic, supported by hands-on Python code examples. The readers will learn the basics of neural networks, deep learning and CNNs by using deep learning frameworks like Keras, Tensorflow, PyTorch, Caffe etc. They will be able to utilize OpenCV DNN module to classify images by using models like Inception V3, Resnet 101, Mobilenet V2. Moreover, the book will help to successfully Implement object detection using YOLOv3, SSD and R-CNN models.
商品描述(中文翻譯)
《使用OpenCV的神經網絡計算機視覺》為您提供專業技能和知識,以使用OpenCV構建智能視覺系統。它為您創建了一個順序的學習路徑,以理解形態學操作、邊緣和角點檢測、物體定位、圖像分類、分割以及面部檢測和識別等高級應用。本書提供了一個實用的路線圖,詳細討論了每個主題,並提供了實際的Python代碼示例。讀者將通過使用Keras、Tensorflow、PyTorch、Caffe等深度學習框架,學習神經網絡、深度學習和卷積神經網絡的基礎知識。他們將能夠利用OpenCV DNN模塊,使用Inception V3、Resnet 101、Mobilenet V2等模型對圖像進行分類。此外,本書還將幫助您成功實現使用YOLOv3、SSD和R-CNN模型的物體檢測。