I tried DISABLING the Spectre mitigation from the code generation in option, but i still cannot compile a simple hello world driver, why? how can i stop this message and just compile a simple hello world without needing to install these libraries? i tried to even install them using individual components, but there are 100 different versions in there.. tried installing the latest verison but didnt help..
I am using the latest version of visual studio 2019. SDK and WDK are both installed.
this is happening after i made a mistake of upgrading visual studio, everything was fine in my 2017 visual studio..
after you install those libraries( which is necessary ) you can go to project Property then C/C++ the Code Generation look down you going to find Spectre mitigation then you can enable it or disable it, this won't work if you didn't install those libraries which is necessary for the last update of visual studio
I am trying to install OpenCV 3.2.0 and run CannyStill.cpp according to the following instructions.
Installation Cheat Sheet 1 - OpenCV 3 and C++.pdf
I am using VS2013 plus Win7.
I have set the Runtime Library to /MTd.
I have installed VC++ 2015 Redistributables.
but the problem is not going away.
How can I solve the issue?
The problem is that your OpenCV was compiled with another Visual Studio compiler (2015). With the redistributables you will get the release version of the dll, but not the debug one. The error is complaining about
MSVCP140D.dll
which is for debuging.
Possible solutions
You can recompile OpenCV (why is not compiled with the same visual studio in the first place?) with VS2013 and use that one.
Install VS2015 and use that one.
Compile it and run it in release mode.
Choose whichever suits you :)
I'm interested in incorporating TensorFlow into a C++ server application built in Visual Studio on Windows 10 and I need to know if that's possible.
Google recently announced Windows support for TensorFlow: https://developers.googleblog.com/2016/11/tensorflow-0-12-adds-support-for-windows.html
but from what I can tell this is just a pip install for the more commonly used Python package, and to use the C++ API you need to build the repo from source yourself: How to build and use Google TensorFlow C++ api
I tried building the project myself using bazel, but ran into issues trying to configure the build.
Is there a way to get TensorFlow C++ to work in native Windows (not using Docker or the new Windows 10 Linux subsystem, as I've seen others post about)?
Thanks,
Ian
It is certainly possible to use TensorFlow's C++ API on Windows, but it is not currently very easy. Right now, the easiest way to build against the C++ API on Windows would be to build with CMake, and adapt the CMake rules for the tf_tutorials_example_trainer project (see the source code here). Building with CMake will give you a Visual Studio project in which you can implement your C++ TensorFlow program.
Note that the tf_tutorials_example_trainer project builds a Console Application that statically links all of the TensorFlow runtime into your program. At present we have not written the necessary rules to create a reusable TensorFlow DLL, although this would be technially possible: for example, the Python extension is a DLL that includes the runtime, but does not export the necessary symbols to use TensorFlow's C or C++ APIs directly.
There is a detailed guide by Joe Antognini and a similar TensorFlow ReadMe at GitHub explaining the building of TensorFlow source via CMake. You also need to have SWIG installed on your machine which allows connecting C/C++ source with the Python scripting language. I did use Visual CMAKE (cmake-gui) with the screen capture shown below.
In the CMake configuration, I used Visual Studio 15 2017 compiler. Once this stage successfully completes, you can click on the Generate button to go ahead with the actual build process.
However, on Visual Studio 2015, when I attempted building via the "ALL_BUILD" project, the setup gave me "build tools for v141 cannot be found" error. This did not go away even when I attempted to retarget my solution. Finally, the solution got built successfully with Visual Studio 2017. You also need to manually set the SWIG_EXECUTABLE path in CMake before it successfully configures.
As indicated in the Antognini link, for me the build took about half an hour on a 16GB RAM, Core i7 machine. Once done, you might want to validate your build by attempting to run the tf_tutorials_example_trainer.exe file.
Hope this helps!
For our latest work on building TensorFlow C++ API on Windows, please look at this github page. This works on Windows 10, currently without CUDA support (only CPU).
PS:
Only the bazel build method works, because CMake is not supported and not maintained anymore, resulting in CMake configuration errors.
I had to use a downgraded version of my Visual Studio 2017 (from 15.7.5 to 15.4) by adding "VC++ 2017 version 15.4 v14.11 toolset" through the installer (Individual Components tab).
The cmake command which worked for me was:
cmake .. -A x64 -DCMAKE_BUILD_TYPE=Release ^
-T "v141,version=14.11" ^
-DSWIG_EXECUTABLE="C:/Program Files/swigwin-3.0.12/swig.exe" ^
-DPYTHON_EXECUTABLE="C:/Program Files/Python/python.exe" ^
-DPYTHON_LIBRARIES="C:/Program Files/Python/libs/python27.lib" ^
-Dtensorflow_ENABLE_GPU=ON ^
-DCUDNN_HOME="C:/Program Files/cudnn-9.2-windows10-x64-v7.1/cuda" ^
-DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0"
After the build, open tensorflow.sln in Visual Studio and build ALL_BUILD.
If you want to enable GPU computation, do check your Graphics Card here (Compute Capability > 3.5). Do remember to install all the packages (Cuda Toolkit 9.0, cuDNN, Python 3.7, SWIG, Git, CMake...) and add the paths to the environment variable in the beginning.
I made a README detailing how to I built the Tensorflow dll and .lib file for the C++ API on Windows with GPU support building from source with Bazel. Tensorflow version 1.14
The tutorial is step by step and starts at the very beginning, so you may have to scroll down past steps you have already done, like checking your hardware, installing Bazel etc.
Here is the url: https://github.com/sitting-duck/stuff/tree/master/ai/tensorflow/build_tensorflow_1.14_source_for_Windows
Probably you will want to scroll all the way down to this part:
https://github.com/sitting-duck/stuff/tree/master/ai/tensorflow/build_tensorflow_1.14_source_for_Windows#step-7-build-the-dll
It shows how to pass command to create .lib and .dll.
Then to test your .lib you should link it into your c++ project,
Then it will show you how to identify and fix the missing symbols using the TF_EXPORT macro
I am actively working on making this tutorial better so feel free to leave comments on this answer if you are having problems.
I'm trying to write a program that uses SURF algorithm and I know that the nonfree module must be installed separately. I've downloaded and installed the latest version of CMake(3.5.2) and I'm following the instructions from:
https://github.com/itseez/opencv_contrib/ . I'm using the GUI and I run Visual Studio 2015 on a 64 bit Windows 10.
Since I know that for SURF you must include xfeatures2d when it asked me the source of the code I only specified the xfeatures2d folder. When I first pressed the configure button I had some errors(I've attached an image of them). I managed to get rid of one of the errors, the one that said to write a line of code at the top of the file
cmake_minimum_required(VERSION 3.5), but I still have one error:
CMake Error at CMakeLists.txt:4 (ocv_define_module):
Unknown CMake command "ocv_define_module".
I'm also attaching a picture of the CMakeLists.txt. Please help me find the problem.
Also, if you could help my install all modules at once, I would be grateful. Or do I have to set as input every folder in the modules folder?
GUI error and CMakeLists.txt
Try using Visual Studio 12 2013 for compilation, this has worked for me, but not the other (newer) versions of Visual Studio.
I have been trying to build OpenCV 2.4.10 on Windows 7 32bit using Visual Studio 2013 and it has been a real pain. I have make some achivements but unfortunatelly it is not working 100%.
I would like to write a small manual not so focused on the step by step -it can be frustrating when one of those steps fails and you don't know how to reach the next one- and more focused on understanding what is happening on each step, why and what to expect when something goes wrong.
I ask for your help, sure you have faced lot of them before and can explain why it is happening.
I am downloading 3 to build with CMake 3.0.2 and Visual Studio 2013. I will update this thread as I take steps.
My aim is to build 2.4.10 with CUDA, TBB and OpenGL support. And make it work :)
Clone OpenCV 2.4.10 (I am using TortoiseGit at C:\OpenCV\src\src)
Download TBB Compiled
Unzip TBB in C:\OpenCV\src\opt\tbb
Unzip OpenCV source in C:\OpenCV\src dir
Open CMake and target source dir C:\OpenCV\src and built dir C:\OpenCV\built
Configure CMake for the first time
Select Visual Studio 12 2013, Use default native compilers for a configuration Win32
Select this options:
Under WITH tab:
WITH_CUDA (already checked)
WITH_OPENGL
WITH_TBB
And click configure again...
Here, OPENGL libs are found (opengl32 and glu32) and first missing paths appear (TBB_INCLUDE_DIRS), those for TBB_INCLUDE_DIRS, so:
Point that line to C:\OpenCV\src\opt\tbb\include and click configure again.
After that configuration process, TBB tab appears in red with LIB_DIR and STDDEF_PATH labels pointed to my TBB folder.
Click configure again to confirm the changes.
This time, there are no tag in red, and everything seems to be fine. I check the output and GUI OpenGL support is set to Yes, and so is Use TBB (ver 4.3 interface 8002) under Other third-party libraries, so
Click Generate to generate the Visual Studio files
Files are generated, so
Open Visual Studio 2013 and open OpenCV solution at C:\OpenCV\built and wait for it to be ready
Select Debug and then Build Solution (Ctrl+Shift+B) and wait...
First errors happen when it tries to find the core lib, so I re-run CMake for a simple build, without OpenGL, CUDA or TBB.
I have found this guide:
Which point to several of the problems I have been having. After compiling with its recommendations now I am having a particular problem regarding throw_nogpu that I will look for.
This guide solved my problems with CUDA, OpenGL and TBB:
http://initialneil.wordpress.com/2014/09/25/opencv-2-4-9-cuda-6-5-visual-studio-2013/
I hope it helps.