stm32-cube-cmake-vscode | STM32 , VSCode and CMake
kandi X-RAY | stm32-cube-cmake-vscode Summary
kandi X-RAY | stm32-cube-cmake-vscode Summary
stm32-cube-cmake-vscode is a C library typically used in Internet of Things (IoT) applications. stm32-cube-cmake-vscode has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Detailed tutorial with instructions how to convert your STM32 project to CMake and VSCode
Detailed tutorial with instructions how to convert your STM32 project to CMake and VSCode
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Quality
Security
License
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Support
stm32-cube-cmake-vscode has a low active ecosystem.
It has 385 star(s) with 44 fork(s). There are 20 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 9 have been closed. On average issues are closed in 9 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of stm32-cube-cmake-vscode is v0.2.0
Quality
stm32-cube-cmake-vscode has no bugs reported.
Security
stm32-cube-cmake-vscode has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
stm32-cube-cmake-vscode is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
stm32-cube-cmake-vscode releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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stm32-cube-cmake-vscode Key Features
No Key Features are available at this moment for stm32-cube-cmake-vscode.
stm32-cube-cmake-vscode Examples and Code Snippets
No Code Snippets are available at this moment for stm32-cube-cmake-vscode.
Community Discussions
Trending Discussions on Internet of Things (IoT)
QUESTION
Display data from two json files in react native
Asked 2020-May-17 at 23:55
I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files
...ANSWER
Answered 2020-May-17 at 23:55The new object to get params in React Navigation 5 is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install stm32-cube-cmake-vscode
It is used for 2 purposes:. STM32CubeIDE installation adds drivers for ST-Link debug probe too.
You can start new project with integrated graphical configurator STM32CubeMX
STM32CubeIDE provides essential tools necessary for later use with VSCode ARM none eabi GCC compiler ST-LINK GDBServer for debugging STM32CubeProgrammer for code downloading Folder with SVD files for STM32 MCUs (optional use)
We need to add 3 paths to environmental settings from STM32CubeIDE installation, one path for each of above-mentioned tools. In case of my computer, using STM32CubeIDE 1.8 (updated through eclipse, hence my actual installation path is still showing version 1.0.2) paths are defined as:. Your paths may differ at version numbers.
GCC compiler: c:\ST\STM32CubeIDE_1.0.2\STM32CubeIDE\plugins\com.st.stm32cube.ide.mcu.externaltools.gnu-tools-for-stm32.9-2020-q2-update.win32_2.0.0.202105311346\tools\bin\
ST-Link GDB server: c:\ST\STM32CubeIDE_1.0.2\STM32CubeIDE\plugins\com.st.stm32cube.ide.mcu.externaltools.stlink-gdb-server.win32_2.0.100.202109301221\tools\bin\
STM32Cube Programmer CLI: c:\ST\STM32CubeIDE_1.0.2\STM32CubeIDE\plugins\com.st.stm32cube.ide.mcu.externaltools.cubeprogrammer.win32_2.0.100.202110141430\tools\bin\
During installation, wizard will ask you to add CMake to environmental paths. If you do not select this option, you should add it manually after installation.
Download Ninja build system from Github releases page. It comes as portable executable, without need to install anything. However it must be visible at environment level, like all previous tools.
VSCode is famous of being lightweight and extremely modular with 3rd party extensions.
ms-vscode.cpptools: Syntax highlighting and other core features for C/C++ development
ms-vscode.cmake-tools: CMake core tools, build system generator tool
twxs.cmake: CMake color highlighting
marus25.cortex-debug: Cortex-M debugging extension, mandatory for STM32 debug from VSCode
dan-c-underwood.arm: ARM Assembly syntax highlighter
zixuanwang.linkerscript: GCC Linker script syntax highlighter
Our project is ready for building and linking. Unless CMake build generation step failed, we should have build directory ready to invoke Ninja compiler. During CMake generation step, Ninja was already selected as build system with -G Ninja parameter. To run actual build of source files with GCC compiler, run cmake --build "build" command to execute build using ninja build system. If it builds well, final step on the output is print of memory use with different sections.
project-name.elf file with complete executable information
project-name.hex HEX file
project-name.bin BIN file
project-name.map map file
Print used size of each region + final executable memory consumption
Generate .hex file from executable
Generate .bin file from executable
Build changes: cmake --build "build"
Clean project: cmake --build "build" --target clean
Re-build project, with clean first: cmake --build "build" --clean-first -v
You can start new project with integrated graphical configurator STM32CubeMX
STM32CubeIDE provides essential tools necessary for later use with VSCode ARM none eabi GCC compiler ST-LINK GDBServer for debugging STM32CubeProgrammer for code downloading Folder with SVD files for STM32 MCUs (optional use)
We need to add 3 paths to environmental settings from STM32CubeIDE installation, one path for each of above-mentioned tools. In case of my computer, using STM32CubeIDE 1.8 (updated through eclipse, hence my actual installation path is still showing version 1.0.2) paths are defined as:. Your paths may differ at version numbers.
GCC compiler: c:\ST\STM32CubeIDE_1.0.2\STM32CubeIDE\plugins\com.st.stm32cube.ide.mcu.externaltools.gnu-tools-for-stm32.9-2020-q2-update.win32_2.0.0.202105311346\tools\bin\
ST-Link GDB server: c:\ST\STM32CubeIDE_1.0.2\STM32CubeIDE\plugins\com.st.stm32cube.ide.mcu.externaltools.stlink-gdb-server.win32_2.0.100.202109301221\tools\bin\
STM32Cube Programmer CLI: c:\ST\STM32CubeIDE_1.0.2\STM32CubeIDE\plugins\com.st.stm32cube.ide.mcu.externaltools.cubeprogrammer.win32_2.0.100.202110141430\tools\bin\
During installation, wizard will ask you to add CMake to environmental paths. If you do not select this option, you should add it manually after installation.
Download Ninja build system from Github releases page. It comes as portable executable, without need to install anything. However it must be visible at environment level, like all previous tools.
VSCode is famous of being lightweight and extremely modular with 3rd party extensions.
ms-vscode.cpptools: Syntax highlighting and other core features for C/C++ development
ms-vscode.cmake-tools: CMake core tools, build system generator tool
twxs.cmake: CMake color highlighting
marus25.cortex-debug: Cortex-M debugging extension, mandatory for STM32 debug from VSCode
dan-c-underwood.arm: ARM Assembly syntax highlighter
zixuanwang.linkerscript: GCC Linker script syntax highlighter
Our project is ready for building and linking. Unless CMake build generation step failed, we should have build directory ready to invoke Ninja compiler. During CMake generation step, Ninja was already selected as build system with -G Ninja parameter. To run actual build of source files with GCC compiler, run cmake --build "build" command to execute build using ninja build system. If it builds well, final step on the output is print of memory use with different sections.
project-name.elf file with complete executable information
project-name.hex HEX file
project-name.bin BIN file
project-name.map map file
Print used size of each region + final executable memory consumption
Generate .hex file from executable
Generate .bin file from executable
Build changes: cmake --build "build"
Clean project: cmake --build "build" --target clean
Re-build project, with clean first: cmake --build "build" --clean-first -v
Support
Do not hesitate to propose changes you believe will improve this script. It should be a community project, work in synergy with worldwide ideas.
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