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test_m18.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tests for the 'NIMA' metric (m18).
"""
# ----------------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------------
# Standard library modules
import pathlib
from typing import Any, List, Optional, Union
# Third-party modules
import pytest
# First-party modules
from aim.common import image_utils
from aim.metrics.m18.m18_nima import Metric
from tests.common.constants import DATA_TESTS_INPUT_VALUES_DIR
# ----------------------------------------------------------------------------
# Metadata
# ----------------------------------------------------------------------------
__author__ = "Amir Hossein Kargaran, Markku Laine"
__date__ = "2021-06-16"
__email__ = "[email protected]"
__version__ = "1.1"
# ----------------------------------------------------------------------------
# Tests
# ----------------------------------------------------------------------------
@pytest.mark.parametrize(
["input_value", "expected_results"],
[
("aalto.fi_website.png", [5.256207, 1.615887]),
("myhelsinki.fi_website.png", [5.702414, 1.650632]),
("wikipedia.org_website.png", [4.52608, 1.9907]),
("black.png", [3.789549, 2.257092]),
],
)
def test_nima_desktop(input_value: str, expected_results: List[Any]) -> None:
"""
Test NIMA (desktop GUIs).
Args:
input_value: GUI image file name
expected_results: Expected results (list of measures)
"""
# Build GUI image file path
gui_image_filepath: pathlib.Path = (
pathlib.Path(DATA_TESTS_INPUT_VALUES_DIR) / input_value
)
# Read GUI image (PNG)
gui_image_png_base64: str = image_utils.read_image(gui_image_filepath)
# Execute metric
result: Optional[List[Union[int, float, str]]] = Metric.execute_metric(
gui_image_png_base64
)
# Test result
if result is not None and all(isinstance(i, float) for i in result):
assert [round(float(i), 6) for i in result] == expected_results