title: After finetuning Faster RCNN object detection model, how to visualize bbox prediction?
body: <p>I finetuned pytorch torchvision model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True) on my own custom dataset.</p>
  
  <p>I followed this guide <a href="https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html#torchvision-object-detection-finetuning-tutorial" rel="nofollow noreferrer">https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html#torchvision-object-detection-finetuning-tutorial</a> but only trained Faster RCNN, not Mask RCNN.</p>
  
  <p>I successfully finished training with no error, and the model returned a dict containing predicted boxes, labels, and scores.</p>
  
  <p>In the guide I followed, they show how to visualize masks predicted by the model trained.
  Is there a similar method to visualize bounding box? I'm having a lot of trouble figuring this out.</p>
  
  <p>Thank you</p>