aceinna / openimu300-lib Goto Github PK

Hi,

Currently, the library page in the PlatformIO Registry doesn't contain any quick start projects for developers. Such examples serve both to highlight widespread use cases and to help newcomers to get up and running much more quickly.

Please consider adding a few comprehensive project examples to the PlatformIO Registry.

Useful links:

• https://registry.platformio.org/libraries/aceinna/OpenIMU300-base-library
• https://docs.platformio.org/en/latest/manifests/library-json/fields/examples.html

@AndreyBondarev
Threre are many cross-dependents. I can't reslove the bellow ones:
.pio/libdeps/OpenIMU300ZA/OpenIMU300-base-library/Sensors/libSensors.a(spi.o): In function DMA1_Stream0_IRQHandler': spi.c:(.text.DMA1_Stream0_IRQHandler+0x64): undefined reference to SPI_ProcessData'
spi.c:(.text.DMA1_Stream0_IRQHandler+0x6e): undefined reference to `SPI_ProcessCommand'.
In fact, the Libsense was depended by some Semaphores, such as magReadySem, which defined in "osresources.h" with "ifdef __MAIN". Thus, I think the encapsulation of "libSensors.a" maybe not appropriate.
Hope for the source codes of "libSensors.a", Thanks.

.pio\libdeps\black_f407ze\OpenIMU300-base-library\FreeRTOS\include/FreeRTOS.h:98:10: fatal error: FreeRTOSConfig.h: No such file or directory
.pio\libdeps\black_f407ze\OpenIMU300-base-library\Platform\Core\include/comm_buffers.h:28:10: fatal error: GlobalConstants.h: No such file or directory

@AndreyBondarev
Problem: There is no source code for "libSensors.a".
I'm developing an application that need obtain different bandwidths simultaneously. The bandwidths was decided by low-pass-filters, especially settiing by the function, platformSelectLPFilter (platformAPI.h).
Though, in "openIMU300-lib" , some API-functions's implementations were found in some c-files, some key functions, such as "platformSelectLPFilter" , "platformEnableMag" etc. , were implemented in "libSensors.a".
I think that's wonderful to outputing multi-bandwidth signal simultaneously. For example, in visual-inertia navigation, the lower-bandwidth signal was suitable for estimating pose, while the higher-bandwidth signal(maybe >50Hz) was suitable for image defuzzification under high-dynamic.
As a result, providing the source codes of libSensors.a, there may be more enhancement and better applications for OpenIMU, and the markets of OpenIMU must be expansive, in the near future.
Waiting in hope......