I build my own custom tensorflow lite model. Now I want to deploy in on my raspberry pi to segment images. Can anyone help me with this problem. How do i proceed to complete this task?
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I am facing a problem about deploying the quantized model on Raspberry Pi.
I build my own model and convert it by the TensorFlow Lite. In this case, how could I deploy this quantized model to Rasberry, or is it possible to deploy my own created model?
Thank for helps!
I was struggling deploying the quantized model on Rasberry Pi, however, some online blogs said must used the pretrained one. SO I was wondering how could I solve this problem.
I have a Raspberry Pi Compute Module 4 computed to Raspberry Pi V2.1 camera. When trying to get camera output the kernel freezes.
my camera output
Also when trying to read from camera using OpenCV I get error:
VIDIOC_STREAMON: Invalid argument
Error: Could not open video
has someone this experience? What is the solution?
Thank you
I have been trying to perform image segmentation with raspberry Pi. I searched for different pre-trained models to perform it and came across tensorflow lite, it has a deeplab model in it, it is very less in size (2.7 Mb) and can be used for IOT devices. But in my case, I have a custom dataset and I need to train the model on my dataset (i.e training deeplab with custom dataset). My issue is raspberry Pi has less RAM and storage (comparatively). So, if I train deeplab with the custom dataset, can I run it on raspberry Pi. If so, is there any tutorial or a research paper about it?
You can use this training script. Clone the repository and run model.py from model/research/deeplab.
I wouldn´t train the model on the Raspberry Pi, because it´s damn slow. A better approach would be to train it on a PC (maybe with GPU support) and export the model to the Raspberry Pi.
Is it possible to run ARCore on Raspberry pi 3? It seems it possible to run Android on Raspberry but it's not clear am I able to run ARCore here.
No, Rasberry pi has no camera and no IMU and even if you would add them yourself, it is highly unlikely that Google would provide a calibration for it.
This calibration is needed to understand how to interprete IMU measurements and camera features and translate them into translation and rotation
I have a Raspberry PI model B+ and I was thinking of integrating it to Alexa Voice Service. So I was able to manage my Raspberry PI and Alexa Voice Service until the part that Alexa says hello. In order to achieve this I used also PC108 media USB external sound card. So I’m getting both input and output from my plug-in microphone or my mini jack audio output to speaker. The thing is that something is missing in order to work .What do I have to do in order to make Alexa listen ?
Thank you in advance.
At re:Invent 2016 they had a workshop on doing this. Take a look at the slides from the session and the workshop instructions. We used a simple USB microphone and sound is built into the Pi. The sample app is still being updated so it should be good to go.
This was with a Pi3 but the basics should still be the same.
You can also use PiCroft that is an image of Mycroft a open source assistant it's just burn it on a sdcard and use
https://mycroft.ai/mycroft-now-available-raspberry-pi-image/
if you want to create skills https://docs.mycroft.ai/skill.creation