97 lines
2.7 KiB
Python
97 lines
2.7 KiB
Python
import numpy as np
|
|
from PIL import Image, ImageChops
|
|
|
|
from supervision.utils.image import letterbox_image, resize_image
|
|
|
|
|
|
def test_resize_image_for_opencv_image() -> None:
|
|
# given
|
|
image = np.zeros((480, 640, 3), dtype=np.uint8)
|
|
expected_result = np.zeros((768, 1024, 3), dtype=np.uint8)
|
|
|
|
# when
|
|
result = resize_image(
|
|
image=image,
|
|
resolution_wh=(1024, 1024),
|
|
keep_aspect_ratio=True,
|
|
)
|
|
|
|
# then
|
|
assert np.allclose(result, expected_result), (
|
|
"Expected output shape to be (w, h): (1024, 768)"
|
|
)
|
|
|
|
|
|
def test_resize_image_for_pillow_image() -> None:
|
|
# given
|
|
image = Image.new(mode="RGB", size=(640, 480), color=(0, 0, 0))
|
|
expected_result = Image.new(mode="RGB", size=(1024, 768), color=(0, 0, 0))
|
|
|
|
# when
|
|
result = resize_image(
|
|
image=image,
|
|
resolution_wh=(1024, 1024),
|
|
keep_aspect_ratio=True,
|
|
)
|
|
|
|
# then
|
|
assert result.size == (1024, 768), "Expected output shape to be (w, h): (1024, 768)"
|
|
difference = ImageChops.difference(result, expected_result)
|
|
assert difference.getbbox() is None, (
|
|
"Expected no difference in resized image content as the image is all zeros"
|
|
)
|
|
|
|
|
|
def test_letterbox_image_for_opencv_image() -> None:
|
|
# given
|
|
image = np.zeros((480, 640, 3), dtype=np.uint8)
|
|
expected_result = np.concatenate(
|
|
[
|
|
np.ones((128, 1024, 3), dtype=np.uint8) * 255,
|
|
np.zeros((768, 1024, 3), dtype=np.uint8),
|
|
np.ones((128, 1024, 3), dtype=np.uint8) * 255,
|
|
],
|
|
axis=0,
|
|
)
|
|
|
|
# when
|
|
result = letterbox_image(
|
|
image=image, resolution_wh=(1024, 1024), color=(255, 255, 255)
|
|
)
|
|
|
|
# then
|
|
assert np.allclose(result, expected_result), (
|
|
"Expected output shape to be (w, h): "
|
|
"(1024, 1024) with padding added top and bottom"
|
|
)
|
|
|
|
|
|
def test_letterbox_image_for_pillow_image() -> None:
|
|
# given
|
|
image = Image.new(mode="RGB", size=(640, 480), color=(0, 0, 0))
|
|
expected_result = Image.fromarray(
|
|
np.concatenate(
|
|
[
|
|
np.ones((128, 1024, 3), dtype=np.uint8) * 255,
|
|
np.zeros((768, 1024, 3), dtype=np.uint8),
|
|
np.ones((128, 1024, 3), dtype=np.uint8) * 255,
|
|
],
|
|
axis=0,
|
|
)
|
|
)
|
|
|
|
# when
|
|
result = letterbox_image(
|
|
image=image, resolution_wh=(1024, 1024), color=(255, 255, 255)
|
|
)
|
|
|
|
# then
|
|
assert result.size == (
|
|
1024,
|
|
1024,
|
|
), "Expected output shape to be (w, h): (1024, 1024)"
|
|
difference = ImageChops.difference(result, expected_result)
|
|
assert difference.getbbox() is None, (
|
|
"Expected padding to be added top and bottom with padding added top and bottom"
|
|
)
|