I have two sections in my function. First, it captures an image from the raspberry pi camera module. Deploying it on the hardware as standalone was successful. Then I added another set of code — using AlexNet to classify the captured image. After making the necessary changes in coder.DeepLearningConfig() (a new feature in MATLAB 2020a), this error came up during deployment:
error: cannot convert ‘uint64m_T*’ to ‘uint64_t’ for argument ‘1’ to ‘int EXT_CAMERABOARD_snapshot (uint64_t*, uint8_T8*, uint32_T*)’
recipe for target 'cameraboard.cpp.o' failed
It seems like there was a problem with compiling the cameraboard when using it with deep learning models. To check that there was really no problem with AlexNet, I tried deploying it without the cameraboard and it worked. Are there any fixes for this?