12345678910111213141516171819202122232425262728293031323334353637383940414243 |
- #!/usr/bin/env python
- import os
- import cv2 as cv
- import numpy as np
- from tests_common import NewOpenCVTests, unittest
- class cudabgsegm_test(NewOpenCVTests):
- def setUp(self):
- super(cudabgsegm_test, self).setUp()
- if not cv.cuda.getCudaEnabledDeviceCount():
- self.skipTest("No CUDA-capable device is detected")
- def test_cudabgsegm(self):
- lr = 0.05
- sz = (128,128,1)
- npMat = (np.random.random(sz) * 255).astype(np.uint8)
- cuMat = cv.cuda_GpuMat(npMat)
- cuMatBg = cv.cuda_GpuMat(cuMat.size(),cuMat.type())
- cuMatFg = cv.cuda_GpuMat(cuMat.size(),cuMat.type())
- mog = cv.cuda.createBackgroundSubtractorMOG()
- mog.apply(cuMat, lr, cv.cuda.Stream_Null(), cuMatFg)
- mog.getBackgroundImage(cv.cuda.Stream_Null(),cuMatBg)
- self.assertTrue(sz[:2] == cuMatFg.size() == cuMatBg.size())
- self.assertTrue(sz[2] == cuMatFg.channels() == cuMatBg.channels())
- self.assertTrue(cv.CV_8UC1 == cuMatFg.type() == cuMatBg.type())
- mog = cv.cuda.createBackgroundSubtractorMOG()
- self.assertTrue(np.allclose(cuMatFg.download(),mog.apply(cuMat, lr, cv.cuda.Stream_Null()).download()))
- self.assertTrue(np.allclose(cuMatBg.download(),mog.getBackgroundImage(cv.cuda.Stream_Null()).download()))
- mog2 = cv.cuda.createBackgroundSubtractorMOG2()
- mog2.apply(cuMat, lr, cv.cuda.Stream_Null(), cuMatFg)
- mog2.getBackgroundImage(cv.cuda.Stream_Null(),cuMatBg)
- self.assertTrue(sz[:2] == cuMatFg.size() == cuMatBg.size())
- self.assertTrue(sz[2] == cuMatFg.channels() == cuMatBg.channels())
- self.assertTrue(cv.CV_8UC1 == cuMatFg.type() == cuMatBg.type())
- mog2 = cv.cuda.createBackgroundSubtractorMOG2()
- self.assertTrue(np.allclose(cuMatFg.download(),mog2.apply(cuMat, lr, cv.cuda.Stream_Null()).download()))
- self.assertTrue(np.allclose(cuMatBg.download(),mog2.getBackgroundImage(cv.cuda.Stream_Null()).download()))
- if __name__ == '__main__':
- NewOpenCVTests.bootstrap()
|