File size: 2,817 Bytes
6452a62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | """Unit tests for crop coordinate transforms and validation."""
import unittest
from PIL import Image
from crop_transform import (
CropTransform,
validate_box,
clip_box,
compute_iou,
compute_containment,
extract_padded_crop,
)
class TestCropTransform(unittest.TestCase):
def test_forward_and_inverse_point(self):
# Origin at (100, 200), padding (10, 20), scale (2.0, 2.0)
t = CropTransform(source_origin=(100, 200), padding=(10, 20), scale=(2.0, 2.0))
# source point (150, 250)
# crop_x = (150 - 100)*2 + 10 = 110
# crop_y = (250 - 200)*2 + 20 = 120
cx, cy = t.to_crop_point(150, 250)
self.assertAlmostEqual(cx, 110.0)
self.assertAlmostEqual(cy, 120.0)
# Invert back to source
sx, sy = t.to_source_point(cx, cy)
self.assertAlmostEqual(sx, 150.0)
self.assertAlmostEqual(sy, 250.0)
def test_box_transform(self):
t = CropTransform(source_origin=(500, 300), padding=(0, 0), scale=(1.0, 1.0))
src_box = [520, 310, 600, 450]
crop_box = t.to_crop_box(src_box)
self.assertEqual(crop_box, [20, 10, 100, 150])
inverted_box = t.to_source_box(crop_box)
self.assertEqual(inverted_box, src_box)
def test_serialization(self):
t1 = CropTransform(source_origin=(100, 200), padding=(5, 5), scale=(0.5, 0.5), crop_box_in_source=(100, 200, 300, 400), crop_image_size=(105, 105))
d = t1.to_dict()
t2 = CropTransform.from_dict(d)
self.assertEqual(t1.x0, t2.x0)
self.assertEqual(t1.y0, t2.y0)
self.assertEqual(t1.sx, t2.sx)
self.assertEqual(t1.sy, t2.sy)
self.assertEqual(t1.px, t2.px)
self.assertEqual(t1.py, t2.py)
def test_validation_and_containment(self):
self.assertTrue(validate_box([10, 10, 100, 100], 1920, 1080))
self.assertFalse(validate_box([100, 100, 10, 10], 1920, 1080)) # inverted
self.assertFalse(validate_box([-50, 10, 100, 100], 1920, 1080)) # far out of bounds
child = [20, 20, 60, 60]
parent = [0, 0, 100, 100]
self.assertAlmostEqual(compute_containment(child, parent), 1.0)
self.assertAlmostEqual(compute_iou([0, 0, 10, 10], [0, 0, 10, 10]), 1.0)
def test_padded_crop_extraction(self):
im = Image.new("RGB", (1000, 800), color="white")
box = [100, 100, 300, 250]
crop_im, transform = extract_padded_crop(im, box, pad_fraction=0.1, min_pad=10)
self.assertTrue(crop_im.size[0] > 200)
self.assertTrue(crop_im.size[1] > 150)
# Test mapping
src_box_back = transform.to_source_box(transform.to_crop_box(box))
for a, b in zip(box, src_box_back):
self.assertAlmostEqual(a, b)
if __name__ == "__main__":
unittest.main()
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