Deep-dive on ARCore | Fundamentals of designing AR apps with machine learning models
24 702
22.6
Google Developers2.39 млн
Следующее
12.05.22 – 8 90318:17Популярные
108 дней – 7 6380:18
118 дней – 2 4400:51Опубликовано 12 мая 2022, 20:04
This is a deep-dive on using fundamental tracking and placement for AR. In this session, learn how ML models enable new uses for tracking, error recovery, and continuous improvement of the experience under the hood. Developers will learn how to design robust UX that addresses tracking and placement challenges and how to anchor content for reliable experiences.
Resources:
What's new in AR → goo.gle/3vyyAay
ARCore Documentation → goo.gle/37HXACW
ARCore samples → goo.gle/3DN102X
Speakers: Konstantine Tsotsos, Luca Ballan
Watch more:
All Google I/O 2022 Sessions → goo.gle/IO22_AllSessions
Google Developers at I/O 2022 playlist → goo.gle/IO22_GoogleDevs
All Google I/O 2022 technical sessions → goo.gle/IO22_Sessions
Subscribe to Google Developers → goo.gle/developers
#GoogleIO
Resources:
What's new in AR → goo.gle/3vyyAay
ARCore Documentation → goo.gle/37HXACW
ARCore samples → goo.gle/3DN102X
Speakers: Konstantine Tsotsos, Luca Ballan
Watch more:
All Google I/O 2022 Sessions → goo.gle/IO22_AllSessions
Google Developers at I/O 2022 playlist → goo.gle/IO22_GoogleDevs
All Google I/O 2022 technical sessions → goo.gle/IO22_Sessions
Subscribe to Google Developers → goo.gle/developers
#GoogleIO
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