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Open Source Computer Vision Library
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32 lines
956 B
32 lines
956 B
11 months ago
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#!/usr/bin/env python
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import os
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import numpy as np
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import math
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import unittest
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import cv2 as cv
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from tests_common import NewOpenCVTests
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class octree_test(NewOpenCVTests):
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def test_octree_basic_test(self):
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pointCloudSize = 1000
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resolution = 0.0001
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scale = 1 << 20
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pointCloud = np.random.randint(-scale, scale, size=(pointCloudSize, 3)) * (10.0 / scale)
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pointCloud = pointCloud.astype(np.float32)
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octree = cv.Octree_createWithResolution(resolution, pointCloud)
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restPoint = np.random.randint(-scale, scale, size=(1, 3)) * (10.0 / scale)
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restPoint = [restPoint[0, 0], restPoint[0, 1], restPoint[0, 2]]
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self.assertTrue(octree.isPointInBound(restPoint))
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self.assertFalse(octree.deletePoint(restPoint))
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self.assertTrue(octree.insertPoint(restPoint))
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self.assertTrue(octree.deletePoint(restPoint))
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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