data corruption
时间: 2023-11-02 19:07:42 浏览: 60
"data corruption" 是指数据在传输、存储或处理过程中发生错误或损坏的现象。这可能会导致数据无法被正确读取或使用,甚至可能会导致系统崩溃或数据丢失。
造成数据损坏的原因有很多,例如硬件故障、软件错误、病毒感染等。为了避免数据损坏,我们可以采取一些措施,如备份数据、使用可靠的硬件设备、安装杀毒软件等。
相关问题
解释代码:if (compressed) { // Uncompress the data first unsigned int compressed_size = 0, uncompressed_size = 0; memcpy (&compressed_size, &map[data_idx + 0], 4); memcpy (&uncompressed_size, &map[data_idx + 4], 4); PCL_DEBUG ("[pcl::PCDReader::read] Read a binary compressed file with %u bytes compressed and %u original.\n", compressed_size, uncompressed_size); if (uncompressed_size != cloud.data.size ()) { PCL_WARN ("[pcl::PCDReader::read] The estimated cloud.data size (%u) is different than the saved uncompressed value (%u)! Data corruption?\n", cloud.data.size (), uncompressed_size); cloud.data.resize (uncompressed_size); } auto data_size = static_cast<unsigned int> (cloud.data.size ()); std::vector<char> buf (data_size); // The size of the uncompressed data better be the same as what we stored in the header unsigned int tmp_size = pcl::lzfDecompress (&map[data_idx + 8], compressed_size, buf.data(), data_size); if (tmp_size != uncompressed_size) { PCL_ERROR ("[pcl::PCDReader::read] Size of decompressed lzf data (%u) does not match value stored in PCD header (%u). Errno: %d\n", tmp_size, uncompressed_size, errno); return (-1); }
这段代码是PCDReader类中的读取函数,用于读取PCD(Point Cloud Data)文件。如果文件被压缩了,就先要对数据进行解压缩。首先,从文件中读取压缩后的数据大小和压缩前的数据大小,并输出日志信息。如果压缩前的数据大小与点云数据大小不一致,则将点云数据大小调整为压缩前的数据大小。然后创建一个缓冲区,大小与点云数据大小相同,用于存储解压后的数据。接着使用pcl::lzfDecompress()函数对压缩后的数据进行解压缩,并将解压后的数据存储在缓冲区中。最后,检查解压后的数据大小是否与压缩前的数据大小一致,如果不一致则输出错误日志并返回-1。
2023-05-14 00:41:17.476475: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll D:\ruanjian\Anaconda\envs\tf2\lib\site-packages\h5py\__init__.py:40: UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple) Warning! ***HDF5 library version mismatched error*** The HDF5 header files used to compile this application do not match the version used by the HDF5 library to which this application is linked. Data corruption or segmentation faults may occur if the application continues. This can happen when an application was compiled by one version of HDF5 but linked with a different version of static or shared HDF5 library. You should recompile the application or check your shared library related settings such as 'LD_LIBRARY_PATH'. You can, at your own risk, disable this warning by setting the environment variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'. Setting it to 2 or higher will suppress the warning messages totally. Headers are 1.10.4, library is 1.10.5 SUMMARY OF THE HDF5 CONFIGURATION ================================= General Information:什么解决
这个警告是因为你使用的h5py库的头文件版本和链接的HDF5库的版本不匹配。这可能会导致数据损坏或分段错误。你可以尝试重新编译应用程序或检查共享库相关设置,例如LD_LIBRARY_PATH。你也可以通过将环境变量HDF5_DISABLE_VERSION_CHECK设置为1来禁用此警告,但这是有风险的。如果你将其设置为2或更高,将完全禁止警告消息。如果你想解决这个问题,可以尝试重新安装HDF5库,或者使用与你安装的h5py库版本对应的HDF5库版本。