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When compiling OpenCV with HDF (Hierarchical Data Format) support and MPI (Message Passing Interface) enabled, the compilation might fail due to various issues. Here are some common reasons and steps to troubleshoot and resolve the problem:
1. MPI Libraries or Configuration
OpenCV may not find the MPI libraries or might not be properly linked to them. Make sure that the MPI libraries are correctly installed and the environment is set up for OpenCV to detect them.
Ensure that you have installed MPI (e.g., OpenMPI or MPICH) on your system.
Check if the environment variables MPI_HOME, LD_LIBRARY_PATH, and PATH are set correctly to include MPI directories.
OpenCV with HDF support relies on the HDF5 library. If the HDF5 development files are missing, OpenCV will fail to compile when HDF support is enabled.
Install HDF5 development libraries.
On Ubuntu/Debian:
sudo apt-get install libhdf5-dev
On CentOS/Red Hat:
sudo yum install hdf5-devel
Verify that OpenCV’s CMake configuration is detecting HDF5 correctly:
If OpenCV uses MPI for parallelization during the build process, there might be conflicts with other flags or options. You can try disabling parallelism temporarily to see if that resolves the issue.
To disable MPI parallelism in OpenCV, you can pass the following to CMake:
cmake -D WITH_MPI=OFF
5. [Out-of-date CMake or OpenCV Version](https://newsmediapublishers24.blogspot.com/)
The text was updated successfully, but these errors were encountered:
When compiling OpenCV with HDF (Hierarchical Data Format) support and MPI (Message Passing Interface) enabled, the compilation might fail due to various issues. Here are some common reasons and steps to troubleshoot and resolve the problem:
1. MPI Libraries or Configuration
OpenCV may not find the MPI libraries or might not be properly linked to them. Make sure that the MPI libraries are correctly installed and the environment is set up for OpenCV to detect them.
MPI_HOME
,LD_LIBRARY_PATH
, andPATH
are set correctly to include MPI directories.Example (Linux):
Also, ensure that the OpenCV build process is finding MPI. You can pass the correct paths to CMake using the following options:
2. Missing HDF Dependencies
OpenCV with HDF support relies on the HDF5 library. If the HDF5 development files are missing, OpenCV will fail to compile when HDF support is enabled.
Install HDF5 development libraries.
On Ubuntu/Debian:
On CentOS/Red Hat:
Verify that OpenCV’s CMake configuration is detecting HDF5 correctly:
3. OpenCV CMake Configuration
If you're using MPI and HDF together, make sure that your CMake configuration is correctly enabling both features.
4. Parallel Compilation with MPI
If OpenCV uses MPI for parallelization during the build process, there might be conflicts with other flags or options. You can try disabling parallelism temporarily to see if that resolves the issue.
To disable MPI parallelism in OpenCV, you can pass the following to CMake:
5.
[Out-of-date CMake or OpenCV Version](https://newsmediapublishers24.blogspot.com/)
The text was updated successfully, but these errors were encountered: