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Ada seorang data scientist bikin project yg mempermudah pekerjaan editor video.
Deep Learning dimanfaatkannya untuk mendeteksi clapper 🎬 10K klip video lebih. Jika dilakukan satu per satu, bisa sangat lama.
Project ini mempersingkat proses itu. Simak gimana caranya:
Deep Learning dimanfaatkannya untuk mendeteksi clapper 🎬 10K klip video lebih. Jika dilakukan satu per satu, bisa sangat lama.
Project ini mempersingkat proses itu. Simak gimana caranya:
@cinemarob1 This thread is translated from a fantastic thread by @cinemarob1
Thank you for the permission, sorry if you don't understand the majority of it since this is for my Indonesian audience.
Thank you for the permission, sorry if you don't understand the majority of it since this is for my Indonesian audience.
Agar tidak bingung, sebelum lanjut ke step by step prosesnya, lebih baik dijelaskan dulu istilah-istilah yang mungkin bagi beberapa masih asing.
Deep Learning is a blessing! I used to work night shifts in the film biz 🎥
I spent countless hours finding the exact moment when the clapper 🎬 slapped shut, in 10K+ video clips 😓
It took me ~64 hours to automate clapper detection using DL 👨💻
Here's the deep dive 🧵:
I spent countless hours finding the exact moment when the clapper 🎬 slapped shut, in 10K+ video clips 😓
It took me ~64 hours to automate clapper detection using DL 👨💻
Here's the deep dive 🧵:
I will walk you through each step of my project:
=====
1/ Collect data
2/ Set up LabelStudio
3/ Draw bounding boxes
4/ Set up DVC
5/ Spin up EC2
6/ Install IceVision
7/ Run notebooks
8/ Connect WandB
9/ Try more models
10/ Infinite training loop
11/ Deploy
=====
1/ Collect data
2/ Set up LabelStudio
3/ Draw bounding boxes
4/ Set up DVC
5/ Spin up EC2
6/ Install IceVision
7/ Run notebooks
8/ Connect WandB
9/ Try more models
10/ Infinite training loop
11/ Deploy
1/ Collect Image Data:
There's a Chrome extension called YouTube Screenshot.
To start the project, I spent 2 hours collecting 50+ images of slates 🎬 from a variety of instructional videos.
rli.to/Yb61z
There's a Chrome extension called YouTube Screenshot.
To start the project, I spent 2 hours collecting 50+ images of slates 🎬 from a variety of instructional videos.
rli.to/Yb61z
Today I’ve come across some wonderful @fastdotai YouTube channels with some excellent content! Below is a thread of my findings for folks to check out (I’ve subscribed to them all!) 1/
First and foremost we have the wonderful work coming out of @ai_fast_track. Along with the #IceVision videos he’s also done quite a number of videos exploring the @fastdotai API with some EXCELLENT videos, I’m certainly taking notes youtube.com/channel/UCht9j…
Next we have some videos by @philwhln. His first two short videos on #fastbook show some great insights into dealing with issues he had, and a great overview of the first few chapters 2/ youtube.com/user/philwhln
