Learning OpenCV 3 作者:Adrian Kaehler/Gary Bradski 出版社:O'Reilly Media 副标题:Computer Vision in C++ with the OpenCV Library 出版年:2017-1-8 页数:1024 定价:USD 59.99 装帧:Paperback ISBN:9781491937990 豆瓣评分 9.4 41人评价 5星 80.5%
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library 英文原版 OpenCV 3编程手册 作者:GaryR.Bradski出版社:O'Reilly Media, Inc, USA出版时间:2016年12月 手机专享价 ¥ 当当价降价通知 ¥650.00 配送至 北京 至北京市东城区 服务...
内容提示: Adrian Kaehler & Gary Bradski Learning OpenCV 3COMPUTER VISION IN C++ WITH THE OPENCV LIBRARY 文档格式:PDF | 页数:1018 | 浏览次数:300 | 上传日期:2016-12-26 01:14:35 | 文档星级: Adrian Kaehler & Gary Bradski Learning OpenCV 3COMPUTER VISION IN C++ WITH THE OPENCV LIBRARY ...
图书 > 进口原版 > Computers & Internet(计算机与网络) > 海外直订Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library OpenCV 3的学习:C++中的计算机视觉与OpenCV库 中华商务图书专营店 Kaehler,Adrian著 京东价 ￥ 促销 展开促销 配送至 ...
Adrian Kaehler & Gary Bradski Learning OpenCV 3COMPUTER VISION IN C++ WITH THE OPENCV LIBRARY
当当网图书频道在线销售正版《【预订】Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library》,作者:Kaehler,出版社:O'Reilly Media。最新《【预订】Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library》简介、书评、试读、价格、图片
《Learning OpenCV 3 Computer Vision with Python - Second Edition》(Joe Minichino, Joseph Howse)内容简介:Intended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans who want...
Joe Minichino Joseph Howse创作的计算机网络小说《Learning OpenCV 3 Computer Vision with Python(Second Edition)》,已更新章,最新章节:undefined。IntendedfornovicestotheworldofOpenCVandcomputervision,aswellasOpenCVveteransthatwanttolearnaboutwhat'sne
The book is completely based around the OpenCV library, an open source project that started in 1999 by the computer-vision community. The authors of the text are among the principal contributors to this real-time library that has developed in C/C++ to run Linux, Windows, and Mac OS X. ...
{ "input_data": { "columns": ["image"], "data": [json.dumps({"image_base64": "image_in_base64_string_format", "model_explainability": True, "xai_parameters": {} }) ] } } 除了映像,輸入架構中還需要兩個額外的參數 (model_explainability 和xai_parameters) 來產生說明。展開...