![]() ![]() This seems like an unforgivable lack of testing. You may have to manually change the temp path in the settings, forcing it to resync, if the dir already exists when you re-open a project and clion complains. It does copy it to /tmp to build on the remote. ![]() 13:46:02 (234 MB/s) - ‘headmelted_key.gpg’ saved sudo apt-key add. You will need to run these commands to install code-oss: (Visual Studio Code for ARM64) wget -O headmelted_key.gpg There’s no need to reinstall normally.) However, how to implement “unsharp mask” is in itself a question that’s not “on rails” – you’ll have to research what the filter really does, then you have to figure out how to express that in a CUDA-friendly algorithm, and then you have to implement it on top of CUDA using the existing tools – that’s not a function that someone else has “solved” for you, and there’s no “copy and paste” solution to that.Īctually, the installation script has a problem (I just tried it on my Nano.) Regarding using CUDA, there are a number of tutorials on the web where the CUDA-code side should work fine the API is no different on the Tegra than on other Linux systems (although if you want to re-install it, the process is different. The draw-back is that this version is 3.2, not the latest-and-greatest, but that should be OK to get you going for a long time. NVIDIA ships a specific version of OpenCV that’s built to interface with the CUDA on the system – you should use the version that’s included, rather than building your own, if you want the smoothest experience. ![]() I don’t know if it’s installed by default, or whether you need to “sudo apt install” it. If you want something different, there’s Code::Blocks (sudo apt install codeblocks)Īnd there’s all the rest that you’d get on Ubuntu – google around for various opinions. (Another way to install vscode: #linux-install-scripts ) If you want VSCode, there’s for example GitHub - SteveDesmond-ca/vscode-arm: Automated builds of Visual Studio Code for Debian/Ubuntu on ARM Ubuntu comes with any number of IDEs you can install, although I’d recommend starting with something Terminal-based (vim or emacs) or the simple gedit editor to start with. Because it’s Ubuntu, it could also use CLang, but you may run into compatibility problems with some C++ shared libraries if you use that. I would prefer to spend my time learning C++, Cuda and GTK+ (or Qt) to develop my software. In fact, i would like first to setup Jetson Nano to get working environment to create C++ software using opencv, Cuda, GTK+ (or Qt) quite quickly because i don’t want to spend too much time getting a working environment. If i have to write those filters using Cuda, do you have some documentation about how to use Cuda to make such filters ? I will make image treatment, using routines like blur, gaussain blur, denoise, sharpen, unsharp mask, histogram stretch, Clahe filter, etc. I think i can manage opencv but concerning Cuda, do you have a pdf document which explains Cuda, step by step ? To get opencv with Cuda, i suppose i must compile opencv 4.1.0 ? Would i prefer Qt rather than GTK+ ? If yes, why ? Is GTK+ provided with the developer kit ? It seems Qt is not provided with the Nano dev kit (we have to compile Qt if we want to use it. Is there an IDE for C++ provided with the developer kit ? If yes, which one, if no, which IDE pour C++ would you recommend to me ? If the answer is yes, which compiler is it ? My purpose is to create C++ programs using Opencv and Cuda. ![]() I am totally newbie with Jetson Nano and i have some questions about Nano and C++ (in fact, i am a newbie for many things concerning Jetson Nano) :ĭoes Nano Developer Kit provides the tools to be able to create C++ programs ? ![]()
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