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Practical computer vision with Simpl...

Oostendorp, Nathan

Practical computer vision with SimpleCV / Kurt Demaagd, ... [et al.].

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Practical computer vision with SimpleCV / Kurt Demaagd, ... [et al.]./
其他作者:	Demaagd, Kurt.
出版者:	Sebastopol, Calif. :O'Reilly Media, Inc., : c2012.,
面頁冊數:	x, 240 p. :ill. ; : 24 cm.;
附註:	"Making computers see in Python"--Cover.
標題:	Computer vision - Congresses. -
ISBN:	9781449320362 (pbk.) :

Practical computer vision with SimpleCV / Kurt Demaagd, ... [et al.].
Practical computer vision with SimpleCV / Kurt Demaagd, ... [et al.]. - Sebastopol, Calif. :O'Reilly Media, Inc.,c2012. - x, 240 p. :ill. ;24 cm.

"Making computers see in Python"--Cover.

Getting to know the SimpleCV framework -- Image sources -- Pixels and images -- The impact of light -- Image arithmetic -- Drawing on images -- Basic feature detection -- FeatureSet manipulation -- Advanced features -- Advances shell tips -- Cameras and lenses.

Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing digital images (streaming or still). You'll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional.

ISBN: 9781449320362 (pbk.) :NT751

LCCN: 2012474091Subjects--Uniform Titles:

SimpleCV (Electronic resource)
Subjects--Topical Terms:

643975
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.42

Practical computer vision with SimpleCV / Kurt Demaagd, ... [et al.].
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520 # $a Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing digital images (streaming or still). You'll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional.
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