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5489735258
* fixed #17044 1. fixed Python part of the tutorial about using OpenCV XML-YAML-JSON I/O functionality from C++ and Python. 2. added startWriteStruct() and endWriteStruct() methods to FileStorage 3. modifed FileStorage::write() methods to make them work well inside sequences, not only mappings. * try to fix the doc builder * added Python regression test for FileStorage I/O API ([TODO] iterating through long sequences can be very slow) * fixed yaml testing
114 lines
3.1 KiB
Python
Executable File
114 lines
3.1 KiB
Python
Executable File
#!/usr/bin/env python
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"""Algorithm serialization test."""
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from __future__ import print_function
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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
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class MyData:
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def __init__(self):
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self.A = 97
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self.X = np.pi
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self.name = 'mydata1234'
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def write(self, fs, name):
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fs.startWriteStruct(name, cv.FileNode_MAP|cv.FileNode_FLOW)
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fs.write('A', self.A)
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fs.write('X', self.X)
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fs.write('name', self.name)
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fs.endWriteStruct()
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def read(self, node):
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if (not node.empty()):
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self.A = int(node.getNode('A').real())
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self.X = node.getNode('X').real()
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self.name = node.getNode('name').string()
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else:
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self.A = self.X = 0
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self.name = ''
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class filestorage_io_test(NewOpenCVTests):
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strings_data = ['image1.jpg', 'Awesomeness', '../data/baboon.jpg']
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R0 = np.eye(3,3)
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T0 = np.zeros((3,1))
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def write_data(self, fname):
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fs = cv.FileStorage(fname, cv.FileStorage_WRITE)
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R = self.R0
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T = self.T0
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m = MyData()
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fs.write('iterationNr', 100)
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fs.startWriteStruct('strings', cv.FileNode_SEQ)
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for elem in self.strings_data:
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fs.write('', elem)
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fs.endWriteStruct()
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fs.startWriteStruct('Mapping', cv.FileNode_MAP)
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fs.write('One', 1)
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fs.write('Two', 2)
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fs.endWriteStruct()
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fs.write('R_MAT', R)
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fs.write('T_MAT', T)
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m.write(fs, 'MyData')
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fs.release()
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def read_data_and_check(self, fname):
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fs = cv.FileStorage(fname, cv.FileStorage_READ)
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n = fs.getNode('iterationNr')
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itNr = int(n.real())
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self.assertEqual(itNr, 100)
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n = fs.getNode('strings')
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self.assertTrue(n.isSeq())
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self.assertEqual(n.size(), len(self.strings_data))
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for i in range(n.size()):
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self.assertEqual(n.at(i).string(), self.strings_data[i])
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n = fs.getNode('Mapping')
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self.assertEqual(int(n.getNode('Two').real()), 2)
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self.assertEqual(int(n.getNode('One').real()), 1)
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R = fs.getNode('R_MAT').mat()
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T = fs.getNode('T_MAT').mat()
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self.assertEqual(cv.norm(R, self.R0, cv.NORM_INF), 0)
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self.assertEqual(cv.norm(T, self.T0, cv.NORM_INF), 0)
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m0 = MyData()
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m = MyData()
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m.read(fs.getNode('MyData'))
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self.assertEqual(m.A, m0.A)
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self.assertEqual(m.X, m0.X)
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self.assertEqual(m.name, m0.name)
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n = fs.getNode('NonExisting')
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self.assertTrue(n.isNone())
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fs.release()
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def run_fs_test(self, ext):
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fd, fname = tempfile.mkstemp(prefix="opencv_python_sample_filestorage", suffix=ext)
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os.close(fd)
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self.write_data(fname)
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self.read_data_and_check(fname)
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os.remove(fname)
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def test_xml(self):
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self.run_fs_test(".xml")
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def test_yml(self):
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self.run_fs_test(".yml")
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def test_json(self):
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self.run_fs_test(".json")
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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