{"id":8162,"date":"2017-07-16T17:45:41","date_gmt":"2017-07-16T15:45:41","guid":{"rendered":"https:\/\/staging.niryo.com\/?p=8162"},"modified":"2024-07-18T17:07:52","modified_gmt":"2024-07-18T15:07:52","slug":"pyniryo-package-python","status":"publish","type":"post","link":"https:\/\/staging.niryo.com\/fr\/pyniryo-package-python\/","title":{"rendered":"D\u00e9couvrez PyNiryo, notre package Python"},"content":{"rendered":"

D\u00e9couvrez PyNiryo, notre package Python<\/h1>\n

\"\"<\/p>\n

PyNiryo<\/strong> est un package Python permettant d’envoyer des commandes Ned<\/strong> depuis n’importe quel syst\u00e8me, via une API TCP\/IP<\/strong>. Il s\u2019agit de la continuit\u00e9 de l’API TCP\/IP de Niryo One, avec une installation simplifi\u00e9e et un \u00e9ventail de fonctions plus large.<\/span><\/h3>\n

 <\/p>\n

\"\"<\/p>\n

Qu’est-ce qu’une API ?<\/b><\/h2>\n

L\u2019<\/span>Application Programming Interface<\/span><\/i> (API) est un ensemble de fonctions et de d\u00e9finitions qui facilite l’int\u00e9gration d’un logiciel dans un programme.<\/span><\/p>\n

(Sch\u00e9ma\u00a0\ud83d\ude42<\/span><\/p>\n

Utilisateur<\/span> Requ\u00eate API<\/span> Robot<\/span> R\u00e9ponse API<\/span><\/p>\n

 <\/p>\n

Qu’est-ce que le protocole TCP ?<\/b><\/h2>\n

Le <\/span>Transmission Control Protocol<\/span><\/i> (TCP) est le protocole de communication r\u00e9seau qui permet l’envoi de messages entre votre ordinateur et votre robot.<\/span><\/p>\n

 <\/p>\n

Que peut-on faire avec PyNiryo ?<\/b><\/p>\n

PyNiryo<\/strong> permet un contr\u00f4le facile<\/strong> et complet d’un ou plusieurs robots connect\u00e9s au m\u00eame r\u00e9seau que votre ordinateur, gr\u00e2ce \u00e0 des commandes de haut niveau. Ces commandes sont envoy\u00e9es via un script Python<\/strong> depuis votre ordinateur, puis r\u00e9cup\u00e9r\u00e9es et interpr\u00e9t\u00e9es par le serveur TCP du robot<\/strong>. Elles sont ensuite ex\u00e9cut\u00e9es et les r\u00e9sultats sont envoy\u00e9s \u00e0 votre ordinateur par le serveur TCP.<\/span><\/p>\n

 <\/p>\n

Quels sont les avantages de PyNiryo ?<\/b><\/h2>\n

PyNiryo<\/strong> permet de contr\u00f4ler un ou plusieurs robots<\/strong> \u00e0 partir d’un programme Python qui s’ex\u00e9cute sur votre ordinateur. Par cons\u00e9quent, le code est plus facile \u00e0 d\u00e9velopper et \u00e0 d\u00e9boguer<\/strong> car vous pouvez simplement modifier votre code dans votre interface de d\u00e9veloppement pr\u00e9f\u00e9r\u00e9e<\/strong> et le relancer sans avoir \u00e0 utiliser SSH.<\/strong><\/span><\/p>\n

De plus, vous pouvez lancer le programme du robot directement depuis votre ordinateur<\/strong>, ce qui vous permet de b\u00e9n\u00e9ficier, selon la configuration de ce dernier, de ressources sup\u00e9rieures \u00e0 celles du Raspberry Pi. Vous pourrez ainsi int\u00e9grer des fonctions plus gourmandes en ressources<\/strong> comme le traitement d’image<\/strong> ou encore l\u2019apprentissage automatique (machine learning)<\/strong>. Ce dernier permet d’aborder l’utilisation de Vision<\/strong> dans le domaine de l’Industrie 4.0.<\/strong><\/span><\/p>\n

 <\/p>\n

Les fonctionnalit\u00e9s de PyNiryo<\/b><\/h2>\n

PyNiryo<\/strong> embarque plus d’une quarantaine de fonctions<\/strong> permettant de contr\u00f4ler le robot et son \u00e9cosyst\u00e8me<\/strong> (mouvements, utilisation des outils, courroie transporteuse, jeu de vision…), facilitant ainsi la cr\u00e9ation de prototypes d\u2019applications industrielles adapt\u00e9s \u00e0 l’industrie 4.0.<\/strong><\/span><\/p>\n

PyNiryo permet \u00e9galement de r\u00e9cup\u00e9rer des informations sur la position et l’\u00e9tat actuel du robot, ainsi que les valeurs des broches GPIO, la vision de la cam\u00e9ra et bien d\u2019autres fonctions.<\/span><\/p>\n

La communication avec le robot via TCP\/IP permet \u00e9galement de contr\u00f4ler plusieurs robots \u00e0 partir du m\u00eame programme.<\/strong> Ainsi, il est possible de combiner PyNiryo<\/strong> et la <\/span>biblioth\u00e8que Python Threading<\/a><\/strong>.<\/span> Cette combinaison permet le contr\u00f4le de plusieurs Ned en simultan\u00e9,<\/strong> simulant par exemple une cha\u00eene de production qui utilise la robotique collaborative.\u00a0<\/strong><\/span><\/p>\n

Vous pouvez trouver plus d’informations \u00e0 ce sujet en vous r\u00e9f\u00e9rant \u00e0 notre tutoriel sur le multithreading.<\/span><\/i><\/p>\n

 <\/p>\n

PyNiryo<\/b><\/h2>\n

L’API PyNiryo<\/strong> reprend les fonctionnalit\u00e9s du robot disponibles via ROS. Voici une liste non exhaustive de ces fonctionnalit\u00e9s :<\/span><\/p>\n

    \n
  • D\u00e9placer le robot<\/span><\/li>\n
  • Utiliser la vision<\/span><\/li>\n
  • Contr\u00f4ler les courroies transporteuses<\/span><\/li>\n
  • R\u00e9cup\u00e9rer les informations sur les broches GPIO<\/span><\/li>\n<\/ul>\n

    Des fonctions de vision<\/strong> ont \u00e9galement \u00e9t\u00e9 ajout\u00e9es \u00e0 PyNiryo pour permettre \u00e0 l’utilisateur de cr\u00e9er son propre pipeline de traitement d’images et explorer davantage la robotique collaborative<\/strong> dans l’industrie 4.0.<\/strong><\/span><\/p>\n

    Ces fonctions s\u2019appuient sur OpenCV<\/strong>, une biblioth\u00e8que open source pour la vision par ordinateur. Elle permet \u00e9galement d’utiliser ces images avec des frameworks de Deep Learning<\/strong> comme Tensorflow <\/strong>et PyTorch.<\/strong><\/span><\/p>\n

    L’installation de PyNiryo est aussi simplifi\u00e9e<\/strong>, puisqu\u2019il est disponible sur l’installation du paquet Python PyPi. Pour l’installer, il suffit d’ex\u00e9cuter la commande \u00ab pip install pyniryo \u00bb.\u00a0<\/span><\/p>\n

    Pour plus d’informations sur l’installation de PyNiryo, cliquez ici.<\/span><\/i><\/p>\n

     <\/p>\n

    Conclusion<\/b><\/h2>\n

    En conclusion, notre package Python PyNiryo<\/strong> est une interface pleine de ressources<\/strong> vous permettant de concr\u00e9tiser plusieurs projets orient\u00e9s vers l’industrie 4.0<\/strong> de mani\u00e8re simple, rapide<\/strong> et efficace.<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    D\u00e9couvrez PyNiryo, notre package Python PyNiryo est un package Python permettant d’envoyer des commandes Ned depuis n’importe quel syst\u00e8me, via une API TCP\/IP. Il s\u2019agit de la continuit\u00e9 de l’API TCP\/IP de Niryo One, avec une installation simplifi\u00e9e et un \u00e9ventail de fonctions plus large.   Qu’est-ce qu’une API ? L\u2019Application Programming Interface (API) est […]<\/p>\n","protected":false},"author":146,"featured_media":8156,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[88],"tags":[],"class_list":["post-8162","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualite-niryo"],"acf":[],"yoast_head":"\nD\u00e9couvrez PyNiryo, notre package Python - Niryo<\/title>\n<meta name=\"description\" content=\"PyNiryo est un package Python servant \u00e0 envoyer des commandes \u00e0 Ned depuis n\u2019importe quel syst\u00e8me par le biais d'une API TCP\/IP.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/staging.niryo.com\/fr\/pyniryo-package-python\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"D\u00e9couvrez PyNiryo, notre package Python - 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