mirror of
https://github.com/opencv/opencv_contrib.git
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d7d6360fce
Add python bindings to cudaobjdetect, cudawarping and cudaarithm * Overload cudawarping functions to generate correct python bindings. Add python wrapper to convolution funciton. * Added shift and hog. * Moved cuda python tests to this repo and added python bindings to SURF. * Fix SURF documentation and allow meanshiftsegmention to create GpuMat internaly if not passed for python bindings consistency. * Add correct cuda SURF test case. * Fix python mog and mog2 python bindings, add tests and correct cudawarping documentation. * Updated KeyPoints in cuda::ORB::Convert python wrapper to be an output argument. * Add changes suggested by alalek * Added changes suggested by asmorkalov
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
#!/usr/bin/env python
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import os
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import cv2 as cv
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import numpy as np
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from tests_common import NewOpenCVTests, unittest
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class cudaobjdetect_test(NewOpenCVTests):
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def setUp(self):
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super(cudaobjdetect_test, self).setUp()
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if not cv.cuda.getCudaEnabledDeviceCount():
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self.skipTest("No CUDA-capable device is detected")
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@unittest.skipIf('OPENCV_TEST_DATA_PATH' not in os.environ,
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"OPENCV_TEST_DATA_PATH is not defined")
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def test_hog(self):
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img_path = os.environ['OPENCV_TEST_DATA_PATH'] + '/gpu/caltech/image_00000009_0.png'
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npMat = cv.cvtColor(cv.imread(img_path),cv.COLOR_BGR2BGRA)
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cuMat = cv.cuda_GpuMat(npMat)
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cuHog = cv.cuda.HOG_create()
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cuHog.setSVMDetector(cuHog.getDefaultPeopleDetector())
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loc, conf = cuHog.detect(cuMat)
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self.assertTrue(len(loc) == len(conf) and len(loc) > 0 and len(loc[0]) == 2)
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loc = cuHog.detectWithoutConf(cuMat)
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self.assertTrue(len(loc) > 0 and len(loc[0]) == 2)
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loc = cuHog.detectMultiScaleWithoutConf(cuMat)
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self.assertTrue(len(loc) > 0 and len(loc[0]) == 4)
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cuHog.setGroupThreshold(0)
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loc, conf = cuHog.detectMultiScale(cuMat)
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self.assertTrue(len(loc) == len(conf) and len(loc) > 0 and len(loc[0]) == 4)
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap() |