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Revamp resize test #277

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Merged
sovrasov merged 1 commit into from
Mar 19, 2025
Merged

Revamp resize test #277

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29 changes: 20 additions & 9 deletions tests/python/unit/test_utils.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
#
# Copyright (C) 2020-2024 Intel Corporation
# Copyright (C) 2024-2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
import numpy as np
Expand All @@ -9,27 +9,38 @@
resize_image_with_aspect_ocv,
)
from openvino.preprocess import PrePostProcessor
import cv2 as cv
import pytest


def test_resize_image_with_aspect_ocv():
param_node = ov.op.Parameter(ov.Type.f32, ov.Shape([1, 8, 8, 3]))
@pytest.mark.parametrize(
"img_shape",
[(301, 999, 3), (999, 301, 3), (500, 500, 3), (1024, 768, 3), (768, 1024, 3)],
)
def test_resize_image_with_aspect_ocv(img_shape):
model_h = 1024
model_w = 1024
pad_value = 0

param_node = ov.op.Parameter(ov.Type.f32, ov.Shape([1, model_h, model_w, 3]))
model = ov.Model(param_node, [param_node])
ppp = PrePostProcessor(model)
ppp.input().tensor().set_element_type(ov.Type.u8)
ppp.input().tensor().set_layout(ov.Layout("NHWC"))
ppp.input().tensor().set_shape([1, -1, -1, 3])
ppp.input().preprocess().custom(
resize_image_with_aspect(
(8, 8),
(model_h, model_w),
"linear",
0,
pad_value,
)
)
ppp.input().preprocess().convert_element_type(ov.Type.f32)
ov_resize_image_with_aspect = ov.Core().compile_model(ppp.build(), "CPU")

img = np.ones((2, 4, 3), dtype=np.uint8)
ov_results = ov_resize_image_with_aspect(img[None])
np_results = resize_image_with_aspect_ocv(img, (8, 8))
img = np.random.randint(0, 255, size=img_shape, dtype=np.uint8)
ov_results = list(ov_resize_image_with_aspect(img[None]).values())[0][0]

np_results = resize_image_with_aspect_ocv(img, (model_w, model_h))

assert np.sum(np.abs(list(ov_results.values())[0][0] - np_results)) < 1e-05
assert cv.PSNR(np_results.astype(np.float32), ov_results) > 20.0
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