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https://github.com/opencv/opencv.git
synced 2026-07-25 13:23:02 +04:00
satyam yadav
cc8f683b6a
core: add YAML 1.2 support for FileStorage #28482 Fixes: #26363 CI Update: https://github.com/opencv/ci-gha-workflow/pull/306 Summary: - Bool true/false literals support - Header-less YAMLs support for Python YAML module compatibility. Header-less files are parsed as YAMLs by default - Added FORMAT_YAML_1_0 flag to FileStorage for fallback. - New YAML1.2 header Testing: - Added Core_InputOutput.YAML_1_2_Compatibility test case in test_io.cpp. - Added YAML interop test in Python
88 lines
2.9 KiB
Python
88 lines
2.9 KiB
Python
#!/usr/bin/env python
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""""Core serialization tests."""
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import tempfile
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import os
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import cv2 as cv
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import numpy as np
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from tests_common import NewOpenCVTests, unittest
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class persistence_test(NewOpenCVTests):
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def test_yml_rw(self):
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fd, fname = tempfile.mkstemp(prefix="opencv_python_persistence_", suffix=".yml")
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os.close(fd)
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# Writing ...
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expected = np.array([[[0, 1, 2, 3, 4]]])
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expected_str = ("Hello", "World", "!")
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fs = cv.FileStorage(fname, cv.FILE_STORAGE_WRITE)
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fs.write("test", expected)
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fs.write("strings", expected_str)
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fs.release()
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# Reading ...
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fs = cv.FileStorage(fname, cv.FILE_STORAGE_READ)
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root = fs.getFirstTopLevelNode()
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self.assertEqual(root.name(), "test")
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test = fs.getNode("test")
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self.assertEqual(test.empty(), False)
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self.assertEqual(test.name(), "test")
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self.assertEqual(test.type(), cv.FILE_NODE_MAP)
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self.assertEqual(test.isMap(), True)
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actual = test.mat()
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self.assertEqual(actual.shape, expected.shape)
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self.assertEqual(np.array_equal(expected, actual), True)
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strings = fs.getNode("strings")
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self.assertEqual(strings.isSeq(), True)
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self.assertEqual(strings.size(), len(expected_str))
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self.assertEqual(all(strings.at(i).isString() for i in range(strings.size())), True)
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self.assertSequenceEqual([strings.at(i).string() for i in range(strings.size())], expected_str)
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fs.release()
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os.remove(fname)
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def test_yml_python_interop(self):
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try:
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import yaml
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except:
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raise unittest.SkipTest('Pyyml is not available for interop test')
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ref_data = {
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'int_value': 42,
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"bool_value": True,
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"float_value": 3.1415926,
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"int64_value": 2147483647 + 1024, # C++ INT_MAX + 1024
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"string_value": "opencv"
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}
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fd, test_file_name = tempfile.mkstemp(prefix="opencv_python_persistence_", suffix=".yml")
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os.close(fd)
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with open(test_file_name, 'w') as ff:
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yaml.dump(ref_data, ff)
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# Notice: no cv.FileStorage_FORMAT_YAML flag needed now thanks to the C++ fix!
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fs = cv.FileStorage(test_file_name, cv.FILE_STORAGE_READ)
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self.assertTrue(fs.isOpened())
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node = fs.getNode('int_value')
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self.assertTrue(node.isInt())
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self.assertEqual(42, int(node.real()))
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node = fs.getNode('int64_value')
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self.assertTrue(node.isInt())
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self.assertEqual(2147483647 + 1024, int(node.real()))
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node = fs.getNode('float_value')
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self.assertTrue(node.isReal())
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self.assertEqual(3.1415926, node.real())
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node = fs.getNode('string_value')
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self.assertTrue(node.isString())
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self.assertEqual("opencv", node.string())
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fs.release()
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os.remove(test_file_name)
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