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72 lines
3.8 KiB
72 lines
3.8 KiB
#!/usr/bin/env python |
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''' |
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MSER detector test |
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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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from tests_common import NewOpenCVTests |
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class mser_test(NewOpenCVTests): |
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def test_mser(self): |
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img = self.get_sample('cv/mser/puzzle.png', 0) |
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smallImg = [ |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], |
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[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255] |
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] |
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thresharr = [ 0, 70, 120, 180, 255 ] |
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kDelta = 5 |
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mserExtractor = cv.MSER_create() |
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mserExtractor.setDelta(kDelta) |
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np.random.seed(10) |
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for _i in range(100): |
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use_big_image = int(np.random.rand(1,1)*7) != 0 |
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invert = int(np.random.rand(1,1)*2) != 0 |
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binarize = int(np.random.rand(1,1)*5) != 0 if use_big_image else False |
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blur = int(np.random.rand(1,1)*2) != 0 |
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thresh = thresharr[int(np.random.rand(1,1)*5)] |
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src0 = img if use_big_image else np.array(smallImg).astype('uint8') |
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src = src0.copy() |
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kMinArea = 256 if use_big_image else 10 |
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kMaxArea = int(src.shape[0]*src.shape[1]/4) |
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mserExtractor.setMinArea(kMinArea) |
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mserExtractor.setMaxArea(kMaxArea) |
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if invert: |
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cv.bitwise_not(src, src) |
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if binarize: |
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_, src = cv.threshold(src, thresh, 255, cv.THRESH_BINARY) |
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if blur: |
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src = cv.GaussianBlur(src, (5, 5), 1.5, 1.5) |
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minRegs = 7 if use_big_image else 2 |
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maxRegs = 1000 if use_big_image else 20 |
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if binarize and (thresh == 0 or thresh == 255): |
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minRegs = maxRegs = 0 |
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msers, boxes = mserExtractor.detectRegions(src) |
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nmsers = len(msers) |
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self.assertEqual(nmsers, len(boxes)) |
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self.assertLessEqual(minRegs, nmsers) |
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self.assertGreaterEqual(maxRegs, nmsers) |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap()
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