To programmatically generate multiple anchor boxes, a function can be defined that takes an input image tensor alongside lists of desired scales and aspect ratios. The algorithm constructs a grid of center points offset by $0.5$ to align with the center of each pixel, scaling these points by the inverse of the image's height and width. It then computes the widths and heights for the anchor boxes based on a practical strategy that pairs each scale with the first aspect ratio, and the first scale with each aspect ratio. Finally, the generated center coordinates are combined with the computed dimensions to return a single output tensor containing the bounding box coordinates for all anchor boxes across the entire image.