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Hello! I'm trying to run test opencv_test_cudacodec but getting errors. First I get CUDA_ERROR_INVALID_SOURCE in cuvid_video_source.cpp:

CUresult cuRes = cuvidCreateVideoSource(&videoSource_, fname.c_str(), &params);
if (cuRes == CUDA_ERROR_INVALID_SOURCE)
  throw std::runtime_error("");

Then we catch exception in video_reader.cpp and try create FFmpegVideoSource:

    catch (...)
   {
    Ptr<RawVideoSource> source(new FFmpegVideoSource(filename));
    videoSource.reset(new RawVideoSourceWrapper(source));
   }

But in the ffmpeg_video_source.cpp I get null in stream_:

 stream_ = create_InputMediaStream_FFMPEG_p(fname.c_str(), &codec, &chroma_format, &width, &height);
if (!stream_)
  CV_Error(Error::StsUnsupportedFormat, "Unsupported video source");

In console I see text:

Available options besides google test option:
 Usage: opencv_test_cudacodecd.exe [params]
    --cuda_device (value:-1)
            CUDA device on which tests will be executed (-1 means all devices)
    -h, --help (value:false)
            Print help info
  Run tests on all supported CUDA devices
  [----------]
  [ GPU INFO ]    Run on OS Windows x64.
  [----------]
  *** CUDA Device Query (Runtime API) version (CUDART static linking) ***

  Device count: 1

  Device 0: "GeForce GTX 1050 Ti"
 CUDA Driver Version / Runtime Version          9.20 / 9.20
 CUDA Capability Major/Minor version number:    6.1
 Total amount of global memory:                 4096 MBytes (4294967296 bytes)
 GPU Clock Speed:                               1.46 GHz
 Max Texture Dimension Size (x,y,z)             1D=(131072), 2D=(131072,65536), 3D=(16384,16384,16384)
 Max Layered Texture Size (dim) x layers        1D=(32768) x 2048, 2D=(32768,32768) x 2048
 Total amount of constant memory:               65536 bytes
 Total amount of shared memory per block:       49152 bytes
 Total number of registers available per block: 65536
 Warp size:                                     32
 Maximum number of threads per block:           1024
 Maximum sizes of each dimension of a block:    1024 x 1024 x 64
 Maximum sizes of each dimension of a grid:     2147483647 x 65535 x 65535
 Maximum memory pitch:                          2147483647 bytes
 Texture alignment:                             512 bytes
 Concurrent copy and execution:                 Yes with 2 copy engine(s)
 Run time limit on kernels:                     Yes
 Integrated GPU sharing Host Memory:            No
 Support host page-locked memory mapping:       Yes
 Concurrent kernel execution:                   Yes
 Alignment requirement for Surfaces:            Yes
 Device has ECC support enabled:                No
 Device is using TCC driver mode:               No
 Device supports Unified Addressing (UVA):      Yes
 Device PCI Bus ID / PCI location ID:           1 / 0
 Compute Mode:
     Default (multiple host threads can use ::cudaSetDevice() with device simultaneously)

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version  = 9.20, CUDA Runtime Version = 9.20,NumDevs=1
CTEST_FULL_OUTPUT
OpenCV version: 3.4.2
OpenCV VCS version: unknown
Build type: debug
Parallel framework: ms-concurrency
CPU features:
Intel(R) IPP optimization: disabled
Intel(R) IPP version: ippIP SSE4.2 (y8) 2017.0.3 (-) Jul 31 2017
[ INFO:0] Initialize OpenCL runtime...
OpenCL is disabled
[==========] Running 4 tests from 1 test case.
[----------] Global test environment set-up.
[----------] 4 tests from CUDA_Codec/Video
[ RUN      ] CUDA_Codec/Video.Reader/0, where GetParam() = (GeForce GTX 1050 Ti, "768x576.avi")
unknown file: error: C++ exception with description "OpenCV(3.4.2) D:\opencv\sources\modules\cudacodec\src\ffmpeg_video_source.cpp:110: error: (-210:Unsupported format or combination of formats) Unsupported video source in function 'cv::cudacodec::detail::FFmpegVideoSource::FFmpegVideoSource'
" thrown in the test body.
[  FAILED  ] CUDA_Codec/Video.Reader/0, where GetParam() = (GeForce GTX 1050 Ti, "768x576.avi") (7076 ms)

Windows 10 x64

Visual Studio 2015 Comunity

OpenCV 3.4.2

CUDA 9.2

Video Codec SDK 8.2.15

Has anybody any ideas?