box_area() method

This method accepts bounding boxes as an input and returns the area of the given bounding boxes. The input bounding boxes must be torch Tensors with [N,4] size, where N represents the number of bounding boxes for which the area will be computed. The bounding boxes are expected to be in the format (x_min, y_min, x_max, y_max), where 0 ≤ x_min < x_max, and 0 ≤ y_min < y_max. Before computing the area of a bounding box we use unsqueeze to make this bounding box tensor into a 2D tensor.

Syntax: torchvision.ops.box_area(boxes)

Parameter:

  • boxes: This method accepts bounding boxes as input.

Return: This method return area for each box.

How to Compute The Area of a Set of Bounding Boxes in PyTorch?

In this article, we are going to see how to compute the area of a set of bounding boxes in PyTorch. We can compute the area of a set of bounding boxes by using the box_area() method of torchvision.io module.

Similar Reads

box_area() method

This method accepts bounding boxes as an input and returns the area of the given bounding boxes. The input bounding boxes must be torch Tensors with [N,4] size, where N represents the number of bounding boxes for which the area will be computed. The bounding boxes are expected to be in the format (x_min, y_min, x_max, y_max), where 0 ≤ x_min < x_max, and 0 ≤ y_min < y_max. Before computing the area of a bounding box we use unsqueeze to make this bounding box tensor into a 2D tensor....

Stepwise Implementation

Step 1: Import the required libraries....