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3rdparty/opencv-4.5.4/modules/python/test/test_grabcut.py 2.44 KB
f4334277   Hu Chunming   提交3rdparty
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  #!/usr/bin/env python
  '''
  ===============================================================================
  Interactive Image Segmentation using GrabCut algorithm.
  ===============================================================================
  '''
  
  # Python 2/3 compatibility
  from __future__ import print_function
  
  import numpy as np
  import cv2 as cv
  import sys
  
  from tests_common import NewOpenCVTests
  
  class grabcut_test(NewOpenCVTests):
  
      def verify(self, mask, exp):
  
          maxDiffRatio = 0.02
          expArea = np.count_nonzero(exp)
          nonIntersectArea = np.count_nonzero(mask != exp)
          curRatio = float(nonIntersectArea) / expArea
          return curRatio < maxDiffRatio
  
      def scaleMask(self, mask):
  
          return np.where((mask==cv.GC_FGD) + (mask==cv.GC_PR_FGD),255,0).astype('uint8')
  
      def test_grabcut(self):
  
          img = self.get_sample('cv/shared/airplane.png')
          mask_prob = self.get_sample("cv/grabcut/mask_probpy.png", 0)
          exp_mask1 = self.get_sample("cv/grabcut/exp_mask1py.png", 0)
          exp_mask2 = self.get_sample("cv/grabcut/exp_mask2py.png", 0)
  
          if img is None:
              self.assertTrue(False, 'Missing test data')
  
          rect = (24, 126, 459, 168)
          mask = np.zeros(img.shape[:2], dtype = np.uint8)
          bgdModel = np.zeros((1,65),np.float64)
          fgdModel = np.zeros((1,65),np.float64)
          cv.grabCut(img, mask, rect, bgdModel, fgdModel, 0, cv.GC_INIT_WITH_RECT)
          cv.grabCut(img, mask, rect, bgdModel, fgdModel, 2, cv.GC_EVAL)
  
          if mask_prob is None:
              mask_prob = mask.copy()
              cv.imwrite(self.extraTestDataPath + '/cv/grabcut/mask_probpy.png', mask_prob)
          if exp_mask1 is None:
              exp_mask1 = self.scaleMask(mask)
              cv.imwrite(self.extraTestDataPath + '/cv/grabcut/exp_mask1py.png', exp_mask1)
  
          self.assertEqual(self.verify(self.scaleMask(mask), exp_mask1), True)
  
          mask = mask_prob
          bgdModel = np.zeros((1,65),np.float64)
          fgdModel = np.zeros((1,65),np.float64)
          cv.grabCut(img, mask, rect, bgdModel, fgdModel, 0, cv.GC_INIT_WITH_MASK)
          cv.grabCut(img, mask, rect, bgdModel, fgdModel, 1, cv.GC_EVAL)
  
          if exp_mask2 is None:
              exp_mask2 = self.scaleMask(mask)
              cv.imwrite(self.extraTestDataPath + '/cv/grabcut/exp_mask2py.png', exp_mask2)
  
          self.assertEqual(self.verify(self.scaleMask(mask), exp_mask2), True)
  
  
  if __name__ == '__main__':
      NewOpenCVTests.bootstrap()