{"id":53128,"date":"2019-11-24T00:00:00","date_gmt":"2019-11-23T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/google-vypustil-distributiv-mendel-linux-4-0-dlya-plat-coral"},"modified":"2020-02-18T14:00:59","modified_gmt":"2020-02-18T11:00:59","slug":"google-vypustil-distributiv-mendel-linux-4-0-dlya-plat-coral","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pt\/blog\/news\/google-vypustil-distributiv-mendel-linux-4-0-dlya-plat-coral","title":{"rendered":"O Google lan\u00e7ou a distribui\u00e7\u00e3o Mendel Linux 4.0 para as placas Coral","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A empresa Google apresentou<\/a><\/noindex> atualiza\u00e7\u00e3o da distribui\u00e7\u00e3o Mendel Linux<\/a><\/noindex>, destinada ao uso em placas Coral<\/a><\/noindex>, como por exemplo Dev Board<\/a><\/noindex> e SoM<\/a><\/noindex>. A placa Dev Board \u00e9 uma plataforma para desenvolvimento r\u00e1pido de prot\u00f3tipos de sistemas de hardware baseados em Google Edge TPU<\/a><\/noindex> (Tensor Processing Unit) para acelerar opera\u00e7\u00f5es relacionadas a aprendizado de m\u00e1quina e redes neurais. O SoM (System-on-Module) \u00e9 uma das solu\u00e7\u00f5es prontas para executar aplica\u00e7\u00f5es relacionadas a aprendizado de m\u00e1quina.<\/p>\n

A distribui\u00e7\u00e3o Mendel Linux \u00e9 baseada<\/a><\/noindex> na base de pacotes Debian e \u00e9 totalmente compat\u00edvel com os reposit\u00f3rios deste projeto (utilizam-se pacotes bin\u00e1rios e atualiza\u00e7\u00f5es n\u00e3o modificadas dos reposit\u00f3rios principais do Debian). As altera\u00e7\u00f5es resumem-se \u00e0 compila\u00e7\u00e3o da imagem a ser carregada em cart\u00f5es eMMC e \u00e0 inclus\u00e3o de componentes para suporte aos componentes de hardware da plataforma Coral. Componentes espec\u00edficos da Coral s\u00e3o distribu\u00eddos<\/a><\/noindex> est\u00e3o sob a licen\u00e7a Apache 2.0. <\/p>\n

Mendel Linux 4.0 se tornou<\/a><\/noindex> a primeira vers\u00e3o, atualizada para Debian 10 (\"buster\"). A constru\u00e7\u00e3o foi otimizada para sistemas embarcados e n\u00e3o cont\u00e9m elementos desnecess\u00e1rios, incluindo as novidades do Debian 10 relacionadas com o suporte ao SecureBoot e AppArmor. Entre as novidades, destaca-se o suporte ao OpenCV e OpenCL, o uso de sobreposi\u00e7\u00f5es do Device Tree, bem como a atualiza\u00e7\u00e3o do GStreamer, Python 3.7, do n\u00facleo Linux 4.14 e do carregador de inicializa\u00e7\u00e3o U-Boot bootloader 2017.03.3. <\/p>\n

Entre as inova\u00e7\u00f5es espec\u00edficas, menciona-se a possibilidade de usar a GPU (Vivante GC7000) instalada nas placas Coral para acelerar a convers\u00e3o de dados de pixel do modelo de cor YUV para RGB com desempenho de at\u00e9 130 quadros por segundo para v\u00eddeos com resolu\u00e7\u00e3o 1080p, o que pode ser \u00fatil ao usar as placas para processamento de v\u00eddeo de c\u00e2meras que geram fluxo no formato YUV. Para a aplica\u00e7\u00e3o de aprendizado de m\u00e1quina no processamento de v\u00eddeo e \u00e1udio em tempo real, foi sugerido o uso da estrutura aberta MediaPipe<\/a><\/noindex>. Por exemplo, com ela \u00e9 poss\u00edvel implementar<\/a><\/noindex> um sistema de reconhecimento e rastreamento de objetos ou rostos em v\u00eddeo transmitido por c\u00e2meras de vigil\u00e2ncia.<\/p>\n

Modelos de aprendizado de m\u00e1quina prontos e j\u00e1 treinados, compilados para os processadores Edge TPU utilizados nas placas Coral, continuam a ser disponibilizados em site do projeto<\/a><\/noindex>, mas est\u00e3o sendo gradualmente transferidos para o cat\u00e1logo geral de modelos p\u00fablicos TensorFlow Hub<\/a><\/noindex>. Para simplificar o desenvolvimento de solu\u00e7\u00f5es pr\u00f3prias com base nas placas Coral e no Mendel Linux, foi preparado manual<\/a><\/noindex>, mostrando como construir um classificador inteligente a partir de materiais dispon\u00edveis, que separa bolas coloridas e brancas em cestos diferentes, utilizando Raspberry Pi e Coral USB Accelerator.<\/p>\n

\r\n \"Por\r\n
<\/div>\r\n <\/div><\/center><\/p>\n

<\/a><\/noindex><\/p>\n

Fonte: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432\u0430 Mendel Linux, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043d\u0430 \u043f\u043b\u0430\u0442\u0430\u0445 Coral, \u0442\u0430\u043a\u0438\u0445 \u043a\u0430\u043a Dev Board \u0438 SoM. \u041f\u043b\u0430\u0442\u0430 Dev Board \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0441\u043e\u0431\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0443 \u0434\u043b\u044f \u0431\u044b\u0441\u0442\u0440\u043e\u0439 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u043e\u0432 \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u043d\u0430 \u0431\u0430\u0437\u0435 Google Edge TPU (Tensor Processing Unit) \u0434\u043b\u044f \u0443\u0441\u043a\u043e\u0440\u0435\u043d\u0438\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0445 \u0441 \u043c\u0430\u0448\u0438\u043d\u043d\u044b\u043c \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435\u043c \u0438 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u043c\u0438 \u0441\u0435\u0442\u044f\u043c\u0438. 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