code: def test_project(self):
      th_boxes = torch.Tensor([10, 10, 20, 20]).reshape(1, 1, 4)
      boxes1 = HorizontalBoxes(th_boxes)
      boxes2 = boxes1.clone()
  
      matrix = np.zeros((3, 3), dtype=np.float32)
      center = [random.random() * 80, random.random() * 80]
      angle = random.random() * 180
      matrix[:2, :3] = cv2.getRotationMatrix2D(center, angle, 1)
      x_translate = random.random() * 40
      y_translate = random.random() * 40
      matrix[0, 2] = matrix[0, 2] + x_translate
      matrix[1, 2] = matrix[1, 2] + y_translate
      scale_factor = random.random() * 2
      matrix[2, 2] = 1 / scale_factor
      boxes1.project_(matrix)
  
      boxes2.rotate_(center, -angle)
      boxes2.translate_([x_translate, y_translate])
      boxes2.rescale_([scale_factor, scale_factor])
      assert_allclose(boxes1.tensor, boxes2.tensor)
      # test empty boxes
      empty_boxes = HorizontalBoxes(torch.zeros((0, 4)))
      empty_boxes.project_(matrix)
  
imports: import random
  from math import sqrt
  from unittest import TestCase
  import cv2
  import numpy
  import torch
  from mmengine.testing import assert_allclose
  from mmdet.structures.bbox import HorizontalBoxes
  from mmdet.structures.mask import BitmapMasks, PolygonMasks
label_desc: Use image node_id 8 for calling the TestHorizontalBoxes obj's underlying member method code with example usage: obj.test_project() without return types