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
55 lines
2.3 KiB
Python
55 lines
2.3 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 cudacodec_test(NewOpenCVTests):
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def setUp(self):
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super(cudacodec_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_reader(self):
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#Test the functionality but not the results of the video reader
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vid_path = os.environ['OPENCV_TEST_DATA_PATH'] + '/cv/video/1920x1080.avi'
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try:
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reader = cv.cudacodec.createVideoReader(vid_path)
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ret, gpu_mat = reader.nextFrame()
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self.assertTrue(ret)
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self.assertTrue('GpuMat' in str(type(gpu_mat)), msg=type(gpu_mat))
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#TODO: print(cv.utils.dumpInputArray(gpu_mat)) # - no support for GpuMat
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# not checking output, therefore sepearate tests for different signatures is unecessary
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ret, _gpu_mat2 = reader.nextFrame(gpu_mat)
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#TODO: self.assertTrue(gpu_mat == gpu_mat2)
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self.assertTrue(ret)
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except cv.error as e:
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notSupported = (e.code == cv.Error.StsNotImplemented or e.code == cv.Error.StsUnsupportedFormat or e.code == cv.Error.GPU_API_CALL_ERROR)
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self.assertTrue(notSupported)
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if e.code == cv.Error.StsNotImplemented:
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self.skipTest("NVCUVID is not installed")
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elif e.code == cv.Error.StsUnsupportedFormat:
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self.skipTest("GPU hardware video decoder missing or video format not supported")
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elif e.code == cv.Error.GPU_API_CALL_ERRROR:
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self.skipTest("GPU hardware video decoder is missing")
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else:
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self.skipTest(e.err)
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def test_writer_existence(self):
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#Test at least the existence of wrapped functions for now
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try:
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_writer = cv.cudacodec.createVideoWriter("tmp", (128, 128), 30)
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except cv.error as e:
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self.assertEqual(e.code, cv.Error.StsNotImplemented)
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self.skipTest("NVCUVENC is not installed")
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self.assertTrue(True) #It is sufficient that no exceptions have been there
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap() |