OpenCV with Python Blueprints : design and develop advanced computer vision projects using OpenCV with Python

OpenCV with Python Blueprints : design and develop advanced computer vision projects using OpenCV with Python

Enregistré dans:

Détails bibliographiques
Auteur principal:	Beyeler, Michael (1981-....). (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packet Publishing Ltd., 2015.
Sujets:	Python (langage de programmation). Computer vision. Python (Computer program language).
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV
par: Minichino, Joe.
Publié: (2015)

OpenCV with Python by Example : Buil real-world computer vision applications and develop cool demos using OpenCV for Python
par: Joshi, Prateek (19..-....).
Publié: (2015)

Python essentials : modernize existing Python code and plan code migrations to Python using this definitive guide
par: Lott, Steven F..
Publié: (2015)

Mastering Python scientific computing : a complete guide for Python programmers to master scientific computing using Python APIs and tools
par: Mehta, Hemant Kumar.
Publié: (2015)

Python for dummies
par: Maruch, Steph.

Python high performance
par: Lanaro, Gabriele.
Publié: (2017)

Python multimedia beginner's guide : learn how to develop multimedia applications using Python with this practical step-by-step guide
par: Sathaye, Ninad.
Publié: (2010)

Matplotlib for Python developers : build remarkable publication quality plots the easy way
par: Tosi, Sandro (198.-....).
Publié: (2009)

Python for secret agents : analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents
par: Lott, Steven F..
Publié: (2014)

Python 3 : apprendre à programmer dans l'écosystème Python
par: Cordeau, Bob (19..-....).
Publié: (2020)

Learning robotics using Python : design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python
par: Lentin, Joseph.
Publié: (2018)

Raspberry Pi user guide
par: Upton, Eben.

Learning predictive analytics with Python : gain practical insights into predictive modelling by implementing predictive analytics algorithms on public datasets with Python
par: Kumar, Ashish (19..-....).
Publié: (2016)

Python 3 object oriented programming : harness the power of Python 3 objects
par: Phillips, Dusty.
Publié: (2010)

Le petit Python orienté objet : programmation orientée objet avec Python 3
par: Gomez, Richard (19..-....).
Publié: (2022)

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
par: Raschka, Sebastian.
Publié: (2016)

Python for data science
par: Mueller, John Paul (1958-....).
Publié: (2019)

Python machine learning
par: Lee, Wei-Meng (19..-....).

Learning robotics using Python : design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV!
par: Lentin, Joseph.
Publié: (2015)

IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python
par: Rossant, Cyrille (1985-....).
Publié: (2014)

Building Machine Learning Systems with Python : master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
par: Richert, Willi.
Publié: (2013)

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models
par: Layton, Robert (19..-....; informaticien).
Publié: (2015)

OpenCV for secret agents : use OpenCV in six secret projects to augment your home, car, phone, eyesight, and any photo or drawing
par: Howse, Joseph.
Publié: (2015)

Kivy : interactive applications and games in Python : create responsive cross-platform UIUX applications and games in Python and using the open source Kivy library
par: Ulloa, Roberto.
Publié: (2015)

Les algorithmes de base de l'informatique quantique.
par: Fleury, Gérard (19..-....; mathématicien).

OpenCV Android programming by example : develop vision-aware and intelligent Android applications with the robust OpenCV library
par: Muhammad, Amgad.
Publié: (2015)

Essential algorithms : a practical approach to computer algorithms using Python and C#
par: Stephens, Rod (1961-....).

Kivy : interactive applications in Python : create cross-platform UIUX applications and games in Python
par: Ulloa, Roberto.
Publié: (2013)

Practical Maya programming with Python : unleash the power of Python in Maya and unlock your creativity
par: Galanakis, Robert.
Publié: (2014)

Python passive network mapping : P2NMAP
par: Hosmer, Chet.
Publié: (2015)

Getting started with Python and Raspberry Pi : learn to design and implement reliable Python applications on Raspberry Pi, using a range of external libraries, the Raspberry Pi's GPIO port, and the camera module
par: Nixon, Dan.
Publié: (2015)

NumPy cookbook : over 70 interesting recipes for learning the Python open source mathematical library, NumPy
par: Idris, Ivan.
Publié: (2012)

OpenCV essentials : acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCV
par: Deniz Suarez, Oscar.
Publié: (2014)

Traitement d'images et de vidéos avec OpenCV 4 : en Python : Windows, Linux, Raspberry
par: Berger, Laurent (1963-....).
Publié: (2020)

Python : précis et concis : Python 3.4 & 2.7
par: Lutz, Mark (19..-....).
Publié: (2017)

Heterogeneous computing with OpenCL : revised OpenCL 1.2 edition
par: Gaster, Benedict (19..-....).
Publié: (2012)

OpenCV 3 blueprints : expand your knowledge of computer vision by building amazing projects with OpenCV 3
par: Howse, Joseph.
Publié: (2015)

Extending Excel with Python and R : Unlock the potential of analytics languages for advanced data manipulation and visualization
par: Sanderson, Steven (Informaticien).

Programmation Python : conception et optimisation
par: Ziadé, Tarek.
Publié: (2009)

Implementing cryptography using python
par: Bray, Shannon.

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1