3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser
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- Опубликовано: 1 окт 2024
- Here you will learn how to load and use the popular MoveNet model, an advanced pre-trained model for pose estimation by research team's at Google. Here you will modify your existing code to perform pre and post processing once you have loaded this new model all in the web browser!
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Waiting for the next section of videos!!!
@@tanzeelurrehman5545 they are now all up!
@@JasonMayes Thank you sir. Your teaching style is awesome
@@tanzeelurrehman5545 glad you are enjoying them so far!
How can I use this model for more than 6 people? Is it possible?
his teaching is awesome...
Appreciate the kind feedback - glad it is useful to people
If anyones facing 'tf is not defined' error try restarting the browser.
I've been intrigued so far by all the courses, but this lesson gave me goosebumps with its excitability factor
We're glad you found this video helpful!
is it possible to run it in Google Collab instead? Also is there a git repo of this so that we can see the whole project?
where from he is taking the resource
Oke thanks
Throughout this chapter the code is referencing tf which from what I can see, was never defined. Where does tf get defined?
with importing TensorFlow.js library in the HTML Script tag
Via the script import in index html which imports the tensorflow js library (tf)
My model returns [1, 6, 56] shape output