我试图在 ubuntu 18.4 (nv-tensorrt-repo-ubuntu1804-cuda10.2-trt7.0.0.11-ga-20191216_1-1_amd64.deb) debian 中安装 tensorRT 7.0。
遵循文档https://docs.nvidia.com/deeplearning/tensorrt/install-guide/index.html#installing-debian。
我在使用 libnvinfer7 时遇到以下错误。在这个星球上寻找这个,无法找到,浪费了我的时间和睡眠。请帮我解决这个问题:
amarnath@amarnath-Precision-T3610:/opt/pixuate$ sudo apt install tensorrt
Reading package lists... Done
Building dependency tree
Reading state information... Done
Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:
The following …Run Code Online (Sandbox Code Playgroud) 无论如何,都可以将opencv mat对象转换为base64。
我使用下面的URL进行base64编码和解码:
http://www.adp-gmbh.ch/cpp/common/base64.html
下面是代码片段:
const unsigned char * inBuffer = reinterpret_cast(image.data);
在Windows 10平台上使用mingw32-make命令进行opencv安装,然后可能最终得到以下错误.
Windows版本:10 OpenCv:3.2.0
请建议我安装.
D:\installers\opencv\sources\modules\ts\src\ts_gtest.cpp: In constructor 'testing::internal::Mutex::Mutex()':
D:\installers\opencv\sources\modules\ts\src\ts_gtest.cpp:8829:45: error: cannot convert 'CRITICAL_SECTION* {aka _CRITICAL_SECTION*}' to '_RTL_CRITICAL_SECTION*' in initialization
critical_section_(new CRITICAL_SECTION) {
^
D:\installers\opencv\sources\modules\ts\src\ts_gtest.cpp:8830:48: error: cannot convert '_RTL_CRITICAL_SECTION*' to 'LPCRITICAL_SECTION {aka _CRITICAL_SECTION*}' for argument '1' to 'void InitializeCriticalSection(LPCRITICAL_SECTION)'
::InitializeCriticalSection(critical_section_);
^
D:\installers\opencv\sources\modules\ts\src\ts_gtest.cpp: In destructor 'testing::internal::Mutex::~Mutex()':
D:\installers\opencv\sources\modules\ts\src\ts_gtest.cpp:8840:46: error: cannot convert '_RTL_CRITICAL_SECTION*' to 'PCRITICAL_SECTION {aka _CRITICAL_SECTION*}' for argument '1' to 'void DeleteCriticalSection(PCRITICAL_SECTION)'
::DeleteCriticalSection(critical_section_);
^
D:\installers\opencv\sources\modules\ts\src\ts_gtest.cpp: In member function 'void testing::internal::Mutex::Lock()':
D:\installers\opencv\sources\modules\ts\src\ts_gtest.cpp:8848:43: error: cannot convert '_RTL_CRITICAL_SECTION*' to 'LPCRITICAL_SECTION {aka _CRITICAL_SECTION*}' for argument '1' …Run Code Online (Sandbox Code Playgroud) 最近我购买了一个预留的实例EC2 t2.medium.
没有选项可以启动和停止,而我的免费装备具有所有功能,包括停止,启动,公共IP等.
请建议我,如何使用和解决保留实例||
在 keras / tensorflow 中训练模型时:
代码片段:
strategy = tf.distribute.experimental.MultiWorkerMirroredStrategy()
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我收到以下错误/警告:
Consider either turning off auto-sharding or switching the auto_shard_policy to DATA to shard this dataset. You can do this by creating a new `tf.data.Options()` object then setting `options.experimental_distribute.auto_shard_policy = AutoShardPolicy.DATA` before applying the options object to the dataset via `dataset.with_options(options)`.
2020-12-16 17:12:20.885741: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:127] None of the MLIR optimization passes are enabled (registered 2)
2020-12-16 17:12:20.905570: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 3593105000 Hz
Epoch 1/40
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任何帮助表示赞赏。