So which is your favorite feature? What do you see helping you the most in your personal workflow? Were you able to learn something useful that you haven't seen elsewhere? Let us know in the comments and leave us a like! Thanks for watching and be sure to check the description for more infos.
Wow! I've got to pause the video to leave a comment and tell you how much I appreciate the level of work and detail you've put into this video. So many channels in this space touch on new features at a very surface level but you've gone above and beyond showing various examples and breaking things down in a way that's easy to understand.
Hi Robin, you are the one who has best explored all the new features of FCPX, especially those related to the scrolling timeline. Congratulations and keep it up, your videos are very interesting.
It's fascinating to see where the new machine learning smooth slow-mo fails - it's mostly in what I'd call "windows". Like the space created by the bikers arm and the handlebar. The machine learning can recognize the outline of the person and the bike, but seems to fail at understanding that that's negative space. Or the bike's spokes. Apple's iPhone Portrait mode effect fails in the exact same way. I'd love to see them solve this in the near future.
So which is your favorite feature? What do you see helping you the most in your personal workflow? Were you able to learn something useful that you haven't seen elsewhere? Let us know in the comments and leave us a like! Thanks for watching and be sure to check the description for more infos.
Wow! I've got to pause the video to leave a comment and tell you how much I appreciate the level of work and detail you've put into this video. So many channels in this space touch on new features at a very surface level but you've gone above and beyond showing various examples and breaking things down in a way that's easy to understand.
Hi Robin, you are the one who has best explored all the new features of FCPX, especially those related to the scrolling timeline. Congratulations and keep it up, your videos are very interesting.
Erm… I'd like to think I am, yes. 😄 Thanks for the feedback! Much appreciated.
Thank you for the video. I really enjoyed it and it was so informative.
Glad you enjoyed it! Thanks for the feedback, means a lot. Especially after the endless work that goes into these damn things. 😄
It's fascinating to see where the new machine learning smooth slow-mo fails - it's mostly in what I'd call "windows". Like the space created by the bikers arm and the handlebar. The machine learning can recognize the outline of the person and the bike, but seems to fail at understanding that that's negative space. Or the bike's spokes. Apple's iPhone Portrait mode effect fails in the exact same way. I'd love to see them solve this in the near future.
Magnifique !!
Merci et merci pour les commentaires! 😉
Excellent.
Many thanks!
Great as always! Thanks Robin!
Thanks, Jari! 😊
As always: Brilliant tutorial. Thanks.
As always: Brilliant comment. Thanks! 😄❤️
Thank you for this detailed video.
You are welcome and thanks for the feedback! Always encouraging to know it helped. 👍🏼
Great job Robin!
Thanks, Jesús! Great to see others creating great localized content! 👍🏼
Titles are black,
Hashtags are blue,
the title is german,
so why aren't you?
👎
😂… good one. German version coming in a couple of days. These things take (way too much!) time! 😉