{"id":113469,"date":"2024-02-08T22:02:49","date_gmt":"2024-02-08T20:02:49","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-savant-0-2-7-frejmvorka-kompyuternogo-zreniya-i-glubokogo-obucheniya"},"modified":"2024-02-08T22:02:49","modified_gmt":"2024-02-08T20:02:49","slug":"vypusk-savant-0-2-7-frejmvorka-kompyuternogo-zreniya-i-glubokogo-obucheniya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/vypusk-savant-0-2-7-frejmvorka-kompyuternogo-zreniya-i-glubokogo-obucheniya","title":{"rendered":"Vyd\u00e1n\u00ed Savant 0.2.7, frameworku po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed a hlubok\u00e9ho u\u010den\u00ed","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Byl vyd\u00e1n Python framework Savant 0.2.7, kter\u00fd usnad\u0148uje pou\u017eit\u00ed NVIDIA DeepStream pro \u00fakoly souvisej\u00edc\u00ed s strojov\u00fdm u\u010den\u00edm. Framework se star\u00e1 o ve\u0161kerou slo\u017eitou pr\u00e1ci s GStreamer nebo FFmpeg, co\u017e umo\u017e\u0148uje soust\u0159edit se na vytv\u00e1\u0159en\u00ed optimalizovan\u00fdch v\u00fdstupn\u00edch pipelin\u016f pomoc\u00ed deklarativn\u00ed syntaxe (YAML) a funkc\u00ed Pythonu. Savant umo\u017e\u0148uje vytv\u00e1\u0159en\u00ed pipelin\u016f, kter\u00e9 funguj\u00ed jak na akceler\u00e1torech v datov\u00fdch centrech (NVIDIA Turing, Ampere, Hopper), tak na edge za\u0159\u00edzen\u00edch (NVIDIA Jetson NX, AGX Xavier, Orin NX, AGX Orin, New Nano). Pomoc\u00ed Savant lze snadno zpracov\u00e1vat v\u00edce video stream\u016f sou\u010dasn\u011b a rychle vytv\u00e1\u0159et hotov\u00e9 anal\u00fdzn\u00ed video pipeliny, kter\u00e9 vyu\u017e\u00edvaj\u00ed NVIDIA TensorRT. K\u00f3d projektu je distribuov\u00e1n pod licenc\u00ed Apache 2.0.      <\/p>\n<p>Savant 0.2.7 \u2014 je posledn\u00ed vyd\u00e1n\u00ed s zm\u011bnami funkcionality v \u0159ad\u011b 0.2.X. Dal\u0161\u00ed vyd\u00e1n\u00ed v \u0159ad\u011b 0.2.X budou obsahovat pouze opravy chyb. V\u00fdvoj nov\u00fdch funkc\u00ed bude prob\u00edhat v \u0159ad\u011b 0.3.X, zalo\u017een\u00e9 na DeepStream 6.4. Tento \u0159ada nebude podporovat rodinu za\u0159\u00edzen\u00ed Jetson Xavier, proto\u017ee spole\u010dnost NVIDIA je v DS 6.4 nepodporuje.      <\/p>\n<p>Hlavn\u00ed novinky:  <\/p>\n<ul>\n<li class=\"l\"> Nov\u00e9 p\u0159\u00edklady pou\u017eit\u00ed:\n<ul>\n<li class=\"l\"> P\u0159\u00edklad pr\u00e1ce s modelem detekce zalo\u017een\u00fdm na transform\u00e1toru RT-DETR;\n<li class=\"l\"> CUDA post-processing pomoc\u00ed CuPy pro YOLOV8-Seg;\n<li class=\"l\"> P\u0159\u00edklad integrace PyTorch CUDA do pipeline Savant;\n<li class=\"l\"> Uk\u00e1zka pr\u00e1ce s orientovan\u00fdmi objekty.  <\/ul>\n<p>  <center><img decoding=\"async\" alt=\"Vyd\u00e1n\u00ed Savant 0.2.7, frameworku po\u010d\u00edta\u010dov\u00e9ho vid\u011bn\u00ed a hlubok\u00e9ho u\u010den\u00ed\" src=\"\/wp-content\/uploads\/2024\/02\/0c14b808a6767394352a4eafde317f67.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <\/p>\n<li class=\"l\">  Nov\u00e9 funkce:\n<ul>\n<li class=\"l\"> Integrace s Prometheus. Pipeline m\u016f\u017ee exportovat metriky v\u00fdkonu do Prometheus a Grafana pro monitoring a sledov\u00e1n\u00ed v\u00fdkonu. V\u00fdvoj\u00e1\u0159i mohou deklarovat vlastn\u00ed metriky exportovan\u00e9 spolu se syst\u00e9mov\u00fdmi metrikami.\n<li class=\"l\"> Buffer adapter \u2014 implementuje trval\u00fd transak\u010dn\u00ed buffer na disku pro data, kter\u00e1 se pohybuj\u00ed mezi adapt\u00e9ry a moduly. S jeho pomoc\u00ed lze vyv\u00edjet vysoce zat\u00ed\u017een\u00e9 kan\u00e1ly, kter\u00e9 nepravideln\u011b spot\u0159ebov\u00e1vaj\u00ed zdroje a vydr\u017e\u00ed \u0161pi\u010dky v provozu. Adapt\u00e9r exportuje do Prometheus sv\u00e1 data o prvc\u00edch a velikostech.\n<li class=\"l\"> M\u00f3d kompilace model\u016f. Moduly nyn\u00ed mohou kompilovat sv\u00e9 modely do TensorRT bez spu\u0161t\u011bn\u00ed pipeline.\n<li class=\"l\"> Ud\u00e1lost shutdown handler v PyFunc. Toto nov\u00e9 API umo\u017e\u0148uje spr\u00e1vn\u011b zpracov\u00e1vat operace ukon\u010den\u00ed pipeline, uvol\u0148ovat zdroje a informovat extern\u00ed syst\u00e9my o ukon\u010den\u00ed.\n<li class=\"l\"> Filtrace sn\u00edmk\u016f na vstupu a v\u00fdstupu. Ve v\u00fdchoz\u00edm nastaven\u00ed pipeline p\u0159ij\u00edm\u00e1 v\u0161echny sn\u00edmky obsahuj\u00edc\u00ed video data. Pomoc\u00ed filtrace na vstupu a v\u00fdstupu mohou v\u00fdvoj\u00e1\u0159i filtrovat data, aby vylou\u010dili jejich zpracov\u00e1n\u00ed.\n<li class=\"l\"> Postprocessing modelu na GPU. D\u00edky nov\u00e9 funkci mohou v\u00fdvoj\u00e1\u0159i z\u00edskat p\u0159\u00edstup k v\u00fdstupn\u00edm tenzor\u016fm modelu p\u0159\u00edmo z pam\u011bti GPU, ani\u017e by je nahr\u00e1vali do pam\u011bti CPU, a zpracov\u00e1vat je pomoc\u00ed CuPy, TorchVision nebo OpenCV CUDA.\n<li class=\"l\"> Funkce pro prezentaci pam\u011bti GPU. V t\u00e9to verzi jsme poskytli funkce pro p\u0159evod pam\u011b\u0165ov\u00fdch buffer\u016f mezi OpenCV GpuMat, GPU tenzory PyTorch a tenzory CuPy.\n<li class=\"l\"> API pro p\u0159\u00edstup ke statistik\u00e1m vyu\u017eit\u00ed front pipeline. Savant umo\u017e\u0148uje p\u0159id\u00e1vat fronty mezi PyFunc pro implementaci paraleln\u00edho zpracov\u00e1n\u00ed a bufferingu zpracov\u00e1n\u00ed. P\u0159idan\u00e9 API poskytuje v\u00fdvoj\u00e1\u0159\u016fm p\u0159\u00edstup k front\u00e1m nasazen\u00fdm v pipeline a umo\u017e\u0148uje dotazov\u00e1n\u00ed na jejich vyu\u017eit\u00ed.  <\/ul>\n<\/ul>\n<p>V p\u0159\u00ed\u0161t\u00ed verzi (0.3.7) pl\u00e1nujeme p\u0159echod na DeepStream 6.4 bez roz\u0161i\u0159ov\u00e1n\u00ed funk\u010dnosti. C\u00edlem je z\u00edskat verzi pln\u011b kompatibiln\u00ed s 0.2.7, ale zalo\u017eenou na DeepStream 6.4 a vylep\u0161en\u00e9 technologii, ale bez poru\u0161en\u00ed kompatibility na \u00farovni API.<br \/>\n<br \/>Zdroj: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=60570\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a Python-\u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 Savant 0.2.7, \u0443\u043f\u0440\u043e\u0449\u0430\u044e\u0449\u0435\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 NVIDIA DeepStream \u0434\u043b\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447, \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. \u0424\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a \u0431\u0435\u0440\u0435\u0442 \u043d\u0430 \u0441\u0435\u0431\u044f \u0432\u0441\u044e \u0441\u043b\u043e\u0436\u043d\u0443\u044e \u0440\u0430\u0431\u043e\u0442\u0443 \u0441 GStreamer \u0438\u043b\u0438 FFmpeg, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044f \u0441\u043e\u0441\u0440\u0435\u0434\u043e\u0442\u043e\u0447\u0438\u0442\u044c\u0441\u044f \u043d\u0430 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0438 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043a\u043e\u043d\u0432\u0435\u0439\u0435\u0440\u043e\u0432 \u0432\u044b\u0432\u043e\u0434\u0430 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0434\u0435\u043a\u043b\u0430\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441\u0430 (YAML) \u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 Python. Savant \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u043a\u043e\u043d\u0432\u0435\u0439\u0435\u0440\u044b (pipeline), \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u043e \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0442 \u043a\u0430\u043a \u043d\u0430 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u044f\u0445 \u0432 \u0434\u0430\u0442\u0430\u0446\u0435\u043d\u0442\u0440\u0435 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":113470,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-113469","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta 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