Object detection Using Detection Transformer (Detr) for Bone fraction dataset

In this comprehensive tutorial, we walk you through building an advanced Object Detection system using the DETR (DEtection TRansformer) model. We'll cover everything from data preparation to model training and inference.

Here's what you'll learn:

We use Python with libraries including PyTorch, Transformers, PyTorch Lightning, and Supervision.

The code includes:

• Custom dataset handling with torchvision
• DETR model implementation with PyTorch Lightning
• Training pipeline setup
• Inference on new images
• Visualization of detection results

Code for the tutorial : XXXXXXXXXXXXXXXXXXXXX

You can find more projects and tutorials in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4bXa-1wOEAF4KljIMamhWd0

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 
☕ Buy me a coffee - https://ko-fi.com/eranfeit
🖥️ Email : feitgemel@gmail.com 
🌐 https://eranfeit.net
🤝 Fiverr : https://www.fiverr.com/s/mB3Pbb
🐦 Twitter - https://twitter.com/eran_feit 
📸 Instagram - https://www.instagram.com/eran_feit/ 
▶️ Subscribe - youtube.com/@eranfeit?sub_confirmation=1 
🐙 Facebook - https://www.facebook.com/groups/3080601358933585 
📝 Medium - https://medium.com/@feitgemel
~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 
🅿 Patreon - https://www.patreon.com/EranFeit 

#EranFeit #objectdetection #transformers

00:00 Introduction 
01:30 Installation 
05:06 Discover the Dataset
07:00 Train the model
10:41 Test on new image
18:33 Re-train the model
21:19 Run inference on a video
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ 
Music by Vincent Rubinetti 
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown 
Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
...
https://www.youtube.com/watch?v=cDzoPHpqCm8