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OpenCV(5.0.0-pre) Error: Unsupported format or combination of formats (Failed to parse onnx model from in-memory byte array.) #25529

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LaurentBerger opened this issue May 2, 2024 · 0 comments
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System Information

General configuration for OpenCV 5.0.0-pre =====================================
Version control: 4.9.0-719-g94f4678d3a

Extra modules:
Location (extra): C:/lib/opencv_contrib/modules
Version control (extra): 4.9.0-141-gfe06856b

Platform:
Timestamp: 2024-04-26T07:50:17Z
Host: Windows 10.0.22631 AMD64
CMake: 3.26.1
CMake generator: Visual Studio 17 2022
CMake build tool: C:/Program Files/Microsoft Visual Studio/2022/Community/MSBuild/Current/Bin/amd64/MSBuild.exe
MSVC: 1935
Configuration: Debug Release

CPU/HW features:
Baseline: SSE SSE2 SSE3
requested: SSE3
Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX
requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
SSE4_1 (19 files): + SSSE3 SSE4_1
SSE4_2 (2 files): + SSSE3 SSE4_1 POPCNT SSE4_2
FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
AVX (9 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
AVX2 (40 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
AVX512_SKX (8 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX

C/C++:
Built as dynamic libs?: YES
C++ standard: 11
C++ Compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.35.32215/bin/Hostx64/x64/cl.exe (ver 19.35.32215.0)
C++ flags (Release): /DWIN32 /D_WINDOWS /W4 /GR /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /wd4819 /MP /O2 /Ob2 /DNDEBUG
C++ flags (Debug): /DWIN32 /D_WINDOWS /W4 /GR /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /wd4819 /MP /Zi /Ob0 /Od /RTC1
C Compiler: C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.35.32215/bin/Hostx64/x64/cl.exe
C flags (Release): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /MP /O2 /Ob2 /DNDEBUG
C flags (Debug): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /MP /Zi /Ob0 /Od /RTC1
Linker flags (Release): /machine:x64 /INCREMENTAL:NO
Linker flags (Debug): /machine:x64 /debug /INCREMENTAL
ccache: NO
Precompiled headers: YES
Extra dependencies: cudart_static.lib nppc.lib nppial.lib nppicc.lib nppidei.lib nppif.lib nppig.lib nppim.lib nppist.lib nppisu.lib nppitc.lib npps.lib cublas.lib cudnn.lib cufft.lib -LIBPATH:C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/lib/x64
3rdparty dependencies:

OpenCV modules:
To be built: 3d alphamat bgsegm bioinspired calib ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dnn_superres dnnlegacy dpm face features2d flann fuzzy gapi hfs highgui img_hash imgcodecs imgproc intensity_transform java line_descriptor mcc ml objdetect optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency sfm shape signal stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab viz wechat_qrcode xfeatures2d ximgproc xobjdetect xphoto xstereo
Disabled: world
Disabled by dependency: -
Unavailable: cannops cvv freetype hdf julia matlab ovis
Applications: tests perf_tests examples apps
Documentation: doxygen python javadoc
Non-free algorithms: YES

Windows RT support: NO

GUI: WIN32UI
Win32 UI: YES
OpenGL support: YES (opengl32 glu32)
VTK support: YES (ver 9.2.5)
Built-in Unicode font: YES

Media I/O:
ZLib: optimized C:/install/zlib/lib/zlib.lib debug C:/install/zlib/lib/zlibd.lib (ver 1.2.13)
JPEG: build-libjpeg-turbo (ver 2.1.3-62)
SIMD Support Request: YES
SIMD Support: NO
WEBP: build (ver encoder: 0x020f)
PNG: optimized C:/install/libpng/lib/libpng16.lib debug C:/install/libpng/lib/libpng16d.lib (ver 1.6.40.git)
TIFF: build (ver 42 - 4.6.0)
JPEG 2000: build (ver 2.5.0)
OpenEXR: build (ver 2.3.0)
HDR: YES
SUNRASTER: YES
PXM: YES
PFM: YES

Video I/O:
DC1394: NO
FFMPEG: YES (prebuilt binaries)
avcodec: YES (58.134.100)
avformat: YES (58.76.100)
avutil: YES (56.70.100)
swscale: YES (5.9.100)
avresample: YES (4.0.0)
GStreamer: NO
DirectShow: YES
Media Foundation: YES
DXVA: YES

Parallel framework: TBB (ver 2020.3 interface 11103)

Other third-party libraries:
Intel IPP: 2021.11.0 [2021.11.0]
at: C:/lib/build/opencv/3rdparty/ippicv/ippicv_win/icv
Intel IPP IW: sources (2021.11.0)
at: C:/lib/build/opencv/3rdparty/ippicv/ippicv_win/iw
Lapack: YES (libclapack 3.9.0)
OpenVINO: YES (2022.3.0)
Eigen: YES (ver ..)
Custom HAL: NO
Protobuf: build (3.19.1)
Flatbuffers: builtin/3rdparty (23.5.9)

NVIDIA CUDA: YES (ver 12.1, CUFFT CUBLAS)
NVIDIA GPU arch: 86
NVIDIA PTX archs:

OpenCL: YES (NVD3D11)
Include path: C:/lib/opencv/3rdparty/include/opencl/1.2
Link libraries: Dynamic load

Python 3:
Interpreter: C:/Program Files/Python310/python.exe (ver 3.10.10)
Libraries: optimized C:/Program Files/Python310/libs/python310.lib debug C:/Program Files/Python310/libs/python310_d.lib (ver 3.10.10)
Limited API: NO
numpy: C:/Users/laurent/AppData/Roaming/Python/Python310/site-packages/numpy/core/include (ver 1.26.4)
install path: C:/Users/laurent/AppData/Roaming/Python/Python310/site-packages/cv2/python-3.10

Python (for build): C:/Program Files/Python310/python.exe

Java:
ant: C:/apache-ant-1.10.13/bin/ant.bat (ver 1.10.13)
Java: NO
JNI: C:/Program Files/Java/jdk-17/include C:/Program Files/Java/jdk-17/include/win32 C:/Program Files/Java/jdk-17/include
Java wrappers: YES (ANT)
Java tests: YES

Install to: C:/install/opencv

Detailed description

OpenCV(5.0.0-pre) Error: Unsupported format or combination of formats (Failed to parse onnx model from in-memory byte array.) in cv::dnn::dnn5_v20231225::ONNXImporter::ONNXImporter, file C:\lib\opencv\modules\dnn\src\onnx\onnx_importer.cpp, line 311

Steps to reproduce

First part :

            opencv_onnx::ModelProto model_proto_dst;
            std::ofstream fout("tmp.onnx", std::ios_base::binary);
            model_proto_dst.SerializePartialToOstream(&fout);
            fout.close();
            cv::dnn::Net n= cv::dnn::readNetFromONNX("tmp.onnx");

No exception, next second part

            std::vector<uchar> tmpBuffer;
            tmpBuffer.resize(tailleModele + 1000);
            model_proto_dst.SerializeToArray(tmpBuffer.data(), tmpBuffer.size());
            return cv::dnn::readNetFromONNX(tmpBuffer);


Exception
OpenCV(5.0.0-pre) Error: Unsupported format or combination of formats (Failed to parse onnx model from in-memory byte array.) in cv::dnn::dnn5_v20231225::ONNXImporter::ONNXImporter, file C:\lib\opencv\modules\dnn\src\onnx\onnx_importer.cpp, line 311

stack trace

>	opencv_dnn500d.dll!cv::dnn::dnn5_v20231225::ONNXImporter::ONNXImporter(cv::dnn::dnn5_v20231225::Net & net, const char * buffer, unsigned __int64 sizeBuffer) Line 311	C++
 	opencv_dnn500d.dll!cv::dnn::dnn5_v20231225::detail::readNet<cv::dnn::dnn5_v20231225::ONNXImporter,char const * &,unsigned __int64 &>(const char * & <args_0>, unsigned __int64 & <args_1>) Line 79	C++
 	opencv_dnn500d.dll!cv::dnn::dnn5_v20231225::detail::readNetDiagnostic<cv::dnn::dnn5_v20231225::ONNXImporter,char const * &,unsigned __int64 &>(const char * & <args_0>, unsigned __int64 & <args_1>) Line 86	C++
 	opencv_dnn500d.dll!cv::dnn::dnn5_v20231225::readNetFromONNX(const char * buffer, unsigned __int64 sizeBuffer) Line 4098	C++
 	opencv_dnn500d.dll!cv::dnn::dnn5_v20231225::readNetFromONNX(const std::vector<unsigned char,std::allocator<unsigned char>> & buffer) Line 4103	C++

Issue submission checklist

  • I report the issue, it's not a question
  • I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
  • I updated to the latest OpenCV version and the issue is still there
  • There is reproducer code and related data files (videos, images, onnx, etc)
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