OpenCV computer vision with Python : learn to capture videos, manipulate images, and track objects with Python using the OpenCV library / / Joseph Howse
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| Autore: |
Howse Joseph
|
| Titolo: |
OpenCV computer vision with Python : learn to capture videos, manipulate images, and track objects with Python using the OpenCV library / / Joseph Howse
|
| Pubblicazione: | Birmingham, England, : Packt Publishing, c2013 |
| Descrizione fisica: | 1 online resource (122 p.) |
| Disciplina: | 006.37 |
| Soggetto topico: | Computer vision |
| Operating systems (Computers) | |
| Python (Computer program language) | |
| Note generali: | Includes index. |
| Nota di contenuto: | Setting up OpenCV -- Handling files, cameras, and GUIs -- Filtering images -- Tracking faces with Haar cascades -- Detecting foreground/background regions and depth -- Integrating with Pygame -- Generating Haar cascades for custom targets. |
| Sommario/riassunto: | A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.OpenCV Computer Vision with Python is written for Python developers who are new to computer vision and want a practical guide to teach them the essentials. Some understanding of image data (for example, pixels and color channels) would be beneficial. At a minimum you will need access to at least one webcam. Certain exercises require additional hardware like a second webcam, a Microsoft Kinect or an OpenNI-compliant depth sensor such as the Asus Xtion PRO. |
| Titolo autorizzato: | OpenCV computer vision with Python |
| ISBN: | 1-62198-884-8 |
| 1-78216-392-1 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911006542303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |