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C++ and qt should be fine for deploying your tensor flow lite. There is a lot of examples using tensor flow lite with c++. I guess converting the model to tensor flow to tensor flow lite maybe the tedious part. I could be wrong with tensor flow lite but my company always had issue converting to...
If you are going use a PIC, I recall in the past Microchip had a stack for the PIC24. Alternatively you should look at lwip and check what PICs they have targeted or examples. This will give you an idea of the flash size for your PIC.
I think you need to understand c before attempting writing a linked list. You also need to understand the compiler warnings and errors. By looking at struct node, where is that declared? Also you returning a struct Node, what is the difference between the capitalize and lower case structs? Have...
You won't be learning on a pi but inference. You train on a PC with gpu and deploy the model to the pi. Coral or gpu on the pi maybe enough to perform inference and it is all depend on your model size and precision.
Just create a CRUD REST api. I just type in google "php rest api" and it list heaps of examples for creating CRUD REST api. In your embedded platform, you just need to setup a HTTP client and use POST, PUT, GET and DELETE to modify your database. You should probably secure your API. Just type in...
The reason for embedded Linux is the time to market. Try and design a video player in a bare metal platform and providing an API for the client to interface to it. I previously worked for a payment terminal company and previously everything was baremetal. When the requirements change to adopt...
He mentioned that he has writing an application to blink LEDs with interrupts but wants to design an application using graphical LCD and keyboard. It is no harm for someone to try out different things as this is not made into a product else how would you learn. You learn by tinkering. If it was...
Like what paulfjujo said, there are three different start options; hot, warm and cold start. These values varies between manufacturers. Most GPS chipset uses the standard NMEA protocol but ublox uses both NMEA and their propriety UBX which is a binarized protocol with fletcher checksum. If you...
If you really want to get back into embedded, start doing some projects, attend meetups, start a GitHub profile. The main thing you have to be passionate, and backed up with the skills.
Have you tried installing tensorflow for PI? https://maker.pro/raspberry-pi/tutorial/how-to-set-up-the-machine-learning-software-tensorflow-on-raspberry-pi
If the speed is inadequate using a PI, you could always plug in a movidius or coral to the PI.
I find RTOS could give a more elegant solution by separating the tasks; keyboard, sensor, LCD and using mailboxes or message queues to pass data around. It depends on your resources on your microcontroller as each tasks will require memory. You could also designed using interrupts and depending...
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