| |
|
| |
|
| | '''
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| | example to detect upright people in images using HOG features
|
| | '''
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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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| |
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| |
|
| | def inside(r, q):
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| | rx, ry, rw, rh = r
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| | qx, qy, qw, qh = q
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| | return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh
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| |
|
| | from tests_common import NewOpenCVTests, intersectionRate
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| |
|
| | class peopledetect_test(NewOpenCVTests):
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| | def test_peopledetect(self):
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| |
|
| | hog = cv.HOGDescriptor()
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| | hog.setSVMDetector( cv.HOGDescriptor_getDefaultPeopleDetector() )
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| |
|
| | dirPath = 'samples/data/'
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| | samples = ['basketball1.png', 'basketball2.png']
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| |
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| | testPeople = [
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| | [[23, 76, 164, 477], [440, 22, 637, 478]],
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| | [[23, 76, 164, 477], [440, 22, 637, 478]]
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| | ]
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| |
|
| | eps = 0.5
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| |
|
| | for sample in samples:
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| |
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| | img = self.get_sample(dirPath + sample, 0)
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| |
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| | found, _w = hog.detectMultiScale(img, winStride=(8,8), padding=(32,32), scale=1.05)
|
| | found_filtered = []
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| | for ri, r in enumerate(found):
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| | for qi, q in enumerate(found):
|
| | if ri != qi and inside(r, q):
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| | break
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| | else:
|
| | found_filtered.append(r)
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| |
|
| | matches = 0
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| |
|
| | for i in range(len(found_filtered)):
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| | for j in range(len(testPeople)):
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| |
|
| | found_rect = (found_filtered[i][0], found_filtered[i][1],
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| | found_filtered[i][0] + found_filtered[i][2],
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| | found_filtered[i][1] + found_filtered[i][3])
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| |
|
| | if intersectionRate(found_rect, testPeople[j][0]) > eps or intersectionRate(found_rect, testPeople[j][1]) > eps:
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| | matches += 1
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| |
|
| | self.assertGreater(matches, 0)
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| |
|
| | if __name__ == '__main__':
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| | NewOpenCVTests.bootstrap()
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| |
|
