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

Link for the tutorial : https://youtu.be/cDzoPHpqCm8

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