718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
#!/usr/bin/env python
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'''
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===============================================================================
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Interactive Image Segmentation using GrabCut algorithm.
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===============================================================================
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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import sys
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from tests_common import NewOpenCVTests
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class grabcut_test(NewOpenCVTests):
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def verify(self, mask, exp):
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maxDiffRatio = 0.02
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expArea = np.count_nonzero(exp)
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nonIntersectArea = np.count_nonzero(mask != exp)
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curRatio = float(nonIntersectArea) / expArea
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return curRatio < maxDiffRatio
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def scaleMask(self, mask):
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return np.where((mask==cv.GC_FGD) + (mask==cv.GC_PR_FGD),255,0).astype('uint8')
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def test_grabcut(self):
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img = self.get_sample('cv/shared/airplane.png')
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mask_prob = self.get_sample("cv/grabcut/mask_probpy.png", 0)
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exp_mask1 = self.get_sample("cv/grabcut/exp_mask1py.png", 0)
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exp_mask2 = self.get_sample("cv/grabcut/exp_mask2py.png", 0)
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if img is None:
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self.assertTrue(False, 'Missing test data')
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rect = (24, 126, 459, 168)
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mask = np.zeros(img.shape[:2], dtype = np.uint8)
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bgdModel = np.zeros((1,65),np.float64)
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fgdModel = np.zeros((1,65),np.float64)
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cv.grabCut(img, mask, rect, bgdModel, fgdModel, 0, cv.GC_INIT_WITH_RECT)
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cv.grabCut(img, mask, rect, bgdModel, fgdModel, 2, cv.GC_EVAL)
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if mask_prob is None:
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mask_prob = mask.copy()
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cv.imwrite(self.extraTestDataPath + '/cv/grabcut/mask_probpy.png', mask_prob)
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if exp_mask1 is None:
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exp_mask1 = self.scaleMask(mask)
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cv.imwrite(self.extraTestDataPath + '/cv/grabcut/exp_mask1py.png', exp_mask1)
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self.assertEqual(self.verify(self.scaleMask(mask), exp_mask1), True)
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mask = mask_prob
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bgdModel = np.zeros((1,65),np.float64)
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fgdModel = np.zeros((1,65),np.float64)
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cv.grabCut(img, mask, rect, bgdModel, fgdModel, 0, cv.GC_INIT_WITH_MASK)
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cv.grabCut(img, mask, rect, bgdModel, fgdModel, 1, cv.GC_EVAL)
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if exp_mask2 is None:
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exp_mask2 = self.scaleMask(mask)
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cv.imwrite(self.extraTestDataPath + '/cv/grabcut/exp_mask2py.png', exp_mask2)
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self.assertEqual(self.verify(self.scaleMask(mask), exp_mask2), True)
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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