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OpenCV avec Python
Paperback
Publisher: Independently Published
Published: Feb 26 2023
Pages: 126
Weight: 0.39
Height: 0.27 Width: 6.00 Depth: 9.00
Language: French
OpenCV avec Python est le livre incontournable pour tous ceux qui souhaitent se plonger dans le monde de la vision par ordinateur et maîtriser l'utilisation de la bibliothèque OpenCV avec Python. Grâce à ce livre, vous apprendrez à manipuler des images et des vidéos, à détecter des objets, à reconnaître des formes, à analyser des images, à travailler avec des caméras stéréo, et bien plus encore.
Avec des explications claires et des exemples concrets, OpenCV avec Python vous permettra de comprendre facilement les concepts complexes de la vision par ordinateur et de mettre en pratique les techniques les plus avancées. Les sujets abordés dans le livre incluent l'installation d'OpenCV, les principales fonctionnalités d'OpenCV, le traitement d'images, la détection d'objets, l'analyse d'images, et la vision par ordinateur.
Que vous soyez débutant ou expérimenté dans le domaine de la vision par ordinateur, OpenCV avec Python vous offre tout ce dont vous avez besoin pour devenir un expert en la matière. Alors n'hésitez plus, rejoignez le monde fascinant de la vision par ordinateur avec OpenCV avec Python.
Contenu du livre:
Chapitre 1: Préparation
Ce chapitre introduit le lecteur à OpenCV, en discutant de son histoire, de ses caractéristiques et de ses applications. Il décrit également les méthodes d'installation d'OpenCV, ainsi que les principales fonctionnalités de la bibliothèque.
Chapitre 2: Traitement d'images
Le chapitre commence par une introduction au traitement d'image, y compris les techniques de traitement d'image et les formats d'image courants. Il se concentre ensuite sur les filtres d'image, la segmentation d'image, la binarisation d'image, la morphologie mathématique et la restauration d'image.
Chapitre 3: Détection d'objet
Ce chapitre explore différents aspects de la détection d'objets. Il commence par une introduction à la détection d'objets, puis se concentre sur la détection de visage, la détection de mouvement, la reconnaissance de forme et la détection de bord.
Chapitre 4: Analyse d'image
Le chapitre se concentre sur l'extraction de caractéristiques, en discutant des descripteurs locaux, des descripteurs globaux, de l'apprentissage en profondeur et de la sélection de descripteurs. Il aborde également la correspondance d'image et la mesure de similarité.
Chapitre 5: Vision par ordinateur
Le dernier chapitre explore la vision par ordinateur, en se concentrant sur la stéréovision, la reconstruction 3D et le suivi d'objet. Il discute également de la géométrie épipolaire, de la reconstruction 3D à partir d'images stéréo et d'images en mouvement, ainsi que des méthodes de suivi d'objet basées sur les caractéristiques, les couleurs et les modèles.
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