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#!/usr/bin/env python
import os
import cv2 as cv
import numpy as np
from tests_common import NewOpenCVTests, unittest
class cudacodec_test(NewOpenCVTests):
def setUp(self):
super(cudacodec_test, self).setUp()
if not cv.cuda.getCudaEnabledDeviceCount():
self.skipTest("No CUDA-capable device is detected")
@unittest.skipIf('OPENCV_TEST_DATA_PATH' not in os.environ,
"OPENCV_TEST_DATA_PATH is not defined")
def test_reader(self):
#Test the functionality but not the results of the video reader
vid_path = os.environ['OPENCV_TEST_DATA_PATH'] + '/cv/video/1920x1080.avi'
try:
reader = cv.cudacodec.createVideoReader(vid_path)
ret, gpu_mat = reader.nextFrame()
self.assertTrue(ret)
self.assertTrue('GpuMat' in str(type(gpu_mat)), msg=type(gpu_mat))
#TODO: print(cv.utils.dumpInputArray(gpu_mat)) # - no support for GpuMat
# not checking output, therefore sepearate tests for different signatures is unecessary
ret, _gpu_mat2 = reader.nextFrame(gpu_mat)
#TODO: self.assertTrue(gpu_mat == gpu_mat2)
self.assertTrue(ret)
except cv.error as e:
notSupported = (e.code == cv.Error.StsNotImplemented or e.code == cv.Error.StsUnsupportedFormat or e.code == cv.Error.GPU_API_CALL_ERROR)
self.assertTrue(notSupported)
if e.code == cv.Error.StsNotImplemented:
self.skipTest("NVCUVID is not installed")
elif e.code == cv.Error.StsUnsupportedFormat:
self.skipTest("GPU hardware video decoder missing or video format not supported")
elif e.code == cv.Error.GPU_API_CALL_ERRROR:
self.skipTest("GPU hardware video decoder is missing")
else:
self.skipTest(e.err)
def test_writer_existence(self):
#Test at least the existence of wrapped functions for now
try:
_writer = cv.cudacodec.createVideoWriter("tmp", (128, 128), 30)
except cv.error as e:
self.assertEqual(e.code, cv.Error.StsNotImplemented)
self.skipTest("NVCUVENC is not installed")
self.assertTrue(True) #It is sufficient that no exceptions have been there
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
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