I have just started using the amazing dlib library in Visual Studio and I have been able to compile and run the face detection examples. I was wondering if it would be possible to compile and run the library on an Mbed device, such as this one, with an M7 (or other M-series) processor. In other words, what specifications should I look out for to determine whether a microcontroller can, if at all, run dlib. Note that Mbed devices run C++ code, so it would be possible to copy and paste the source code of dlib and compile it, but I want to know if this is possible before I purchase a board. Also, if the RAM and ROM of the board are not enough, I can always attach external RAM/ROM.
Alternatively, if anyone knows of a library that can perform face detection or recognition on an embedded device, I would be happy to hear it.
Thanks.
Although the F769 is a considerably powerful embedded device there is no chance that dlib will run on it. Machine learning algorithms, even if not run in real-time, typically require a vast amount of RAM memory, specially for online-learning (learning on the target). You can take a look at ARMs very own CMSIS NN library to see what's currently "state-of-the-art" for devices that size.