[proto] Added resized_crop_bounding_box op

[vfdev-5]

Related to #5514

Description:

• Added functional resized_crop_bounding_box op
• Added tests
  • added format arg for test_correctness_crop_bounding_box

Results on synthetic images/bboxes:

Code

import numpy as np

import torch
import torchvision
from torchvision.prototype import features
from torchvision.prototype.transforms.functional import resized_crop_bounding_box, resized_crop_image_tensor

size = (64, 76)
# xyxy format
in_boxes = [
    [10, 15, 25, 35],
    [50, 5, 70, 22],
    [45, 46, 56, 62],
]
labels = [1, 2, 3]

im1 = 255 * np.ones(size + (3, ), dtype=np.uint8)
in_im = torch.tensor(im1).permute(2, 0, 1).view(1, 3, *size)

in_boxes = features.BoundingBox(
    in_boxes, format=features.BoundingBoxFormat.XYXY, image_size=size
)
    
top = -10
left = 5
height = size[0] - 15
width = size[1] + 20
out_size = (32, 32)


out_boxes = resized_crop_bounding_box(
    in_boxes, 
    in_boxes.format,
    top,
    left,
    height, 
    width, 
    out_size
)

out_im = resized_crop_image_tensor(in_im, top, left, height, width, out_size)

[pmeier]

LGTM, thanks Victor!

[github-actions]

Hey @vfdev-5!

You merged this PR, but no labels were added. The list of valid labels is available at https://github.com/pytorch/vision/blob/main/.github/process_commit.py