Semantic segmentation and object detection using transformers

In this section, we will focus on two important computer vision tasks: semantic segmentation and object detection. You will learn how to perform these using transformers.

Models such as DETR are capable of detecting objects and semantic segmentation. These tasks are simple and convenient using a pretrained model from transformers.

Using DETR, you can also detect the objects present in an image. Follow these steps:

1. You need to load the model and preprocessor as follows:

   from transformers import (
       DetrImageProcessor, DetrForObjectDetection)
   import torch
   from PIL import Image
   import requests
   processor = DetrImageProcessor.from_pretrained(
       "facebook/detr-resnet-50")
   model = DetrForObjectDetection.from_pretrained(
       "facebook/detr-resnet-50")

2. The next step is to download the example image and convert it:

   url = "http:...