YOLO-NAS + v8 full-stack computer vision course
This course offers an in-depth journey into the world of YOLO-NAS + v8, starting with upgrading from YOLOv8 to YOLO-NAS and an introduction to their architectures. You will explore the detailed nuances of running these models on different operating systems like Ubuntu and Windows, and even on Google...
Gespeichert in:
Körperschaft: | |
---|---|
Weitere Verfasser: | |
Format: | Elektronisch Video |
Sprache: | English |
Veröffentlicht: |
[Birmingham, United Kingdom]
Packt Publishing
[2024]
|
Ausgabe: | [First edition]. |
Schlagworte: | |
Online-Zugang: | lizenzpflichtig |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
LEADER | 00000ngm a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-104370599 | ||
003 | DE-627-1 | ||
005 | 20240701091202.0 | ||
006 | m o | | | ||
007 | cr uuu---uuuuu | ||
008 | 240701s2024 xx ||| |o o ||eng c | ||
020 | |a 9781836209874 |c electronic video |9 978-1-83620-987-4 | ||
020 | |a 1836209878 |c electronic video |9 1-83620-987-8 | ||
035 | |a (DE-627-1)104370599 | ||
035 | |a (DE-599)KEP104370599 | ||
035 | |a (ORHE)9781836209874 | ||
035 | |a (DE-627-1)104370599 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | |a 006.3/7 |2 23/eng/20240529 | |
245 | 1 | 0 | |a YOLO-NAS + v8 full-stack computer vision course |
250 | |a [First edition]. | ||
264 | 1 | |a [Birmingham, United Kingdom] |b Packt Publishing |c [2024] | |
300 | |a 1 online resource (1 video file (8 hr., 19 min.)) |b sound, color. | ||
336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Online resource; title from title details screen (O'Reilly, viewed May 29, 2024) | ||
520 | |a This course offers an in-depth journey into the world of YOLO-NAS + v8, starting with upgrading from YOLOv8 to YOLO-NAS and an introduction to their architectures. You will explore the detailed nuances of running these models on different operating systems like Ubuntu and Windows, and even on Google Colab for accessible cloud-based learning. The course meticulously guides you through training custom YOLO-NAS + v8 on specialized datasets, including waste sorting, and extends to mastering object tracking with integrations like DeepSORT and Bytetrack. A significant portion is dedicated to practical implementations, such as setting up Flask applications for AI, mobile development with Kivy, and leveraging mobile apps for real-time uses like sign language recognition. From configuring environments for model conversion across various frameworks to deploying advanced object segmentation techniques, this course prepares you for real-world AI applications. It culminates in deploying YOLO-NAS in Docker and Jetson NANO environments, ensuring you are equipped to handle professional AI tasks seamlessly. | ||
650 | 0 | |a Computer vision | |
650 | 0 | |a Artificial intelligence | |
650 | 4 | |a Vision par ordinateur | |
650 | 4 | |a Intelligence artificielle | |
650 | 4 | |a artificial intelligence | |
650 | 4 | |a Instructional films | |
650 | 4 | |a Nonfiction films | |
650 | 4 | |a Internet videos | |
650 | 4 | |a Films de formation | |
650 | 4 | |a Films autres que de fiction | |
650 | 4 | |a Vidéos sur Internet | |
700 | 1 | |a Kanjee, Ritesh |e MitwirkendeR |4 ctb | |
710 | 2 | |a Augmented AI (Firm), |e MitwirkendeR |4 ctb | |
710 | 2 | |a Packt Publishing, |e Verlag |4 pbl | |
856 | 4 | 0 | |l TUM01 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781836209874/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
935 | |c vide | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-104370599 |
---|---|
_version_ | 1818767367826571264 |
adam_text | |
any_adam_object | |
author2 | Kanjee, Ritesh |
author2_role | ctb |
author2_variant | r k rk |
author_corporate | Augmented AI (Firm) |
author_corporate_role | ctb |
author_facet | Kanjee, Ritesh Augmented AI (Firm) |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)104370599 (DE-599)KEP104370599 (ORHE)9781836209874 |
dewey-full | 006.3/7 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/7 |
dewey-search | 006.3/7 |
dewey-sort | 16.3 17 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
edition | [First edition]. |
format | Electronic Video |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02956ngm a22005292 4500</leader><controlfield tag="001">ZDB-30-ORH-104370599</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240701091202.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240701s2024 xx ||| |o o ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781836209874</subfield><subfield code="c">electronic video</subfield><subfield code="9">978-1-83620-987-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1836209878</subfield><subfield code="c">electronic video</subfield><subfield code="9">1-83620-987-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)104370599</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP104370599</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781836209874</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)104370599</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/7</subfield><subfield code="2">23/eng/20240529</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">YOLO-NAS + v8 full-stack computer vision course</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Birmingham, United Kingdom]</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 video file (8 hr., 19 min.))</subfield><subfield code="b">sound, color.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from title details screen (O'Reilly, viewed May 29, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This course offers an in-depth journey into the world of YOLO-NAS + v8, starting with upgrading from YOLOv8 to YOLO-NAS and an introduction to their architectures. You will explore the detailed nuances of running these models on different operating systems like Ubuntu and Windows, and even on Google Colab for accessible cloud-based learning. The course meticulously guides you through training custom YOLO-NAS + v8 on specialized datasets, including waste sorting, and extends to mastering object tracking with integrations like DeepSORT and Bytetrack. A significant portion is dedicated to practical implementations, such as setting up Flask applications for AI, mobile development with Kivy, and leveraging mobile apps for real-time uses like sign language recognition. From configuring environments for model conversion across various frameworks to deploying advanced object segmentation techniques, this course prepares you for real-world AI applications. It culminates in deploying YOLO-NAS in Docker and Jetson NANO environments, ensuring you are equipped to handle professional AI tasks seamlessly.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vision par ordinateur</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films de formation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films autres que de fiction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kanjee, Ritesh</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Augmented AI (Firm),</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Packt Publishing,</subfield><subfield code="e">Verlag</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781836209874/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="c">vide</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-104370599 |
illustrated | Not Illustrated |
indexdate | 2024-12-18T08:48:46Z |
institution | BVB |
isbn | 9781836209874 1836209878 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 online resource (1 video file (8 hr., 19 min.)) sound, color. |
psigel | ZDB-30-ORH |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Packt Publishing |
record_format | marc |
spelling | YOLO-NAS + v8 full-stack computer vision course [First edition]. [Birmingham, United Kingdom] Packt Publishing [2024] 1 online resource (1 video file (8 hr., 19 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed May 29, 2024) This course offers an in-depth journey into the world of YOLO-NAS + v8, starting with upgrading from YOLOv8 to YOLO-NAS and an introduction to their architectures. You will explore the detailed nuances of running these models on different operating systems like Ubuntu and Windows, and even on Google Colab for accessible cloud-based learning. The course meticulously guides you through training custom YOLO-NAS + v8 on specialized datasets, including waste sorting, and extends to mastering object tracking with integrations like DeepSORT and Bytetrack. A significant portion is dedicated to practical implementations, such as setting up Flask applications for AI, mobile development with Kivy, and leveraging mobile apps for real-time uses like sign language recognition. From configuring environments for model conversion across various frameworks to deploying advanced object segmentation techniques, this course prepares you for real-world AI applications. It culminates in deploying YOLO-NAS in Docker and Jetson NANO environments, ensuring you are equipped to handle professional AI tasks seamlessly. Computer vision Artificial intelligence Vision par ordinateur Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Kanjee, Ritesh MitwirkendeR ctb Augmented AI (Firm), MitwirkendeR ctb Packt Publishing, Verlag pbl TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781836209874/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | YOLO-NAS + v8 full-stack computer vision course Computer vision Artificial intelligence Vision par ordinateur Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
title | YOLO-NAS + v8 full-stack computer vision course |
title_auth | YOLO-NAS + v8 full-stack computer vision course |
title_exact_search | YOLO-NAS + v8 full-stack computer vision course |
title_full | YOLO-NAS + v8 full-stack computer vision course |
title_fullStr | YOLO-NAS + v8 full-stack computer vision course |
title_full_unstemmed | YOLO-NAS + v8 full-stack computer vision course |
title_short | YOLO-NAS + v8 full-stack computer vision course |
title_sort | yolo nas v8 full stack computer vision course |
topic | Computer vision Artificial intelligence Vision par ordinateur Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
topic_facet | Computer vision Artificial intelligence Vision par ordinateur Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
url | https://learning.oreilly.com/library/view/-/9781836209874/?ar |
work_keys_str_mv | AT kanjeeritesh yolonasv8fullstackcomputervisioncourse AT augmentedaifirm yolonasv8fullstackcomputervisioncourse AT packtpublishing yolonasv8fullstackcomputervisioncourse |