67 lines
2.4 KiB
Python
67 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
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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==cv2.GC_FGD) + (mask==cv2.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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cv2.grabCut(img, mask, rect, bgdModel, fgdModel, 0, cv2.GC_INIT_WITH_RECT)
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cv2.grabCut(img, mask, rect, bgdModel, fgdModel, 2, cv2.GC_EVAL)
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if mask_prob is None:
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mask_prob = mask.copy()
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cv2.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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cv2.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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cv2.grabCut(img, mask, rect, bgdModel, fgdModel, 0, cv2.GC_INIT_WITH_MASK)
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cv2.grabCut(img, mask, rect, bgdModel, fgdModel, 1, cv2.GC_EVAL)
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if exp_mask2 is None:
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exp_mask2 = self.scaleMask(mask)
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cv2.imwrite(self.extraTestDataPath + '/cv/grabcut/exp_mask2py.png', exp_mask2)
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self.assertEqual(self.verify(self.scaleMask(mask), exp_mask2), True) |