Revamp resize test

Author: sovrasov

tests/python/unit/test_utils.py

@@ -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
@@ -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