| /* Trick to tell AMD and Nvidia drivers to use the most powerful GPU instead of a lower-performance (such as integrated) GPU | |
| * | |
| * --- On Windows Platforms --- | |
| * | |
| * As discribed at https://docs.nvidia.com/gameworks/content/technologies/desktop/optimus.htm and http://developer.download.nvidia.com/devzone/devcenter/gamegraphics/files/OptimusRenderingPolicies.pdf, | |
| * Nvidia Optimus disables GPU auto-select for the program | |
| * and make the driver use the most powerful GPU instead of a lower-performance GPU (such as integrated ones). | |
| * | |
| * Nvidia Windows drivers look for this exported symbol into the executable to enable Nvidia Optimus. | |
| * ``` |
| #include <type_traits> | |
| template <template <typename...> class Template> | |
| struct is_template_base_of | |
| { | |
| template <typename T> | |
| static auto test(int) -> std::enable_if_t<std::is_base_of_v<Template<typename T::template_type>, T>, std::true_type>; | |
| static auto test(...) -> std::false_type; | |
| template <typename T> | |
| static constexpr bool value = decltype(test<T>(0))::value; |
| # Where should files should be installed / delivered ? | |
| set(INSTALL_DEST_DIR delivery) | |
| set(CMAKE_INSTALL_PREFIX ${CMAKE_SOURCE_DIR}/${INSTALL_DEST_DIR) | |
| set(CMAKE_INSTALL_BINDIR ${CMAKE_SOURCE_DIR}/${INSTALL_DEST_DIR) | |
| # Print in stdout only newly installed files | |
| set(CMAKE_INSTALL_MESSAGE LAZY) | |
| # Modify as needed to fit what should be installed or not | |
| # TARGET means executable / lib compiled bins |
| // THIS CODE REQUIRES -std=c++2b FLAG TO WORK PROPERLY | |
| #include <iostream> | |
| #include <format> | |
| #include <algorithm> | |
| #include <numeric> | |
| #include <ranges> | |
| #include <utility> |
| set(PROJECT_NAME your_cmake_target) | |
| set(RESSOURCES_FOLDER ressources) | |
| add_custom_command( | |
| TARGET ${PROJECT_NAME} | |
| COMMENT "Copy ressources directory" | |
| PRE_BUILD COMMAND ${CMAKE_COMMAND} -E copy_directory ${CMAKE_SOURCE_DIR}/${RESSOURCES_FOLDER} $<TARGET_FILE_DIR:${PROJECT_NAME}>/${RESSOURCES_FOLDER} | |
| ) |
| #pragma once | |
| #include <type_traits> | |
| template<typename T> | |
| struct assert_false : std::false_type {}; | |
| template<typename T> | |
| constexpr bool assert_false_v = assert_false<T>::value; |
Some times you can encounter serious issues using a raspberry pi camera with open-cv specially using cv2.VideoCapture().
I encountered a lot of them without finding and figured out a as "elegant" as possible workaround.
If you have libcamera-hello working on your raspberry this can be a solution for you.
This project is using the libcamera-vid command to generate an image buffer of the camera and then read it using opencv.
Sometime installing python package on a raspberry pi can be paintfull, here a workaround how can save you a lot of efforts if you just whant a thing to work
If python3 -m pip install PyQt5 doesn't work or stay stucked for some raisons you can try to install it using apt :
sudo apt install python3-pyqt5 qtbase5-dev