Hi ,
I am currently running an edge impulse model for audio classification in edge impulse in raspberry pi 4 .
I want to use this classification data to run some actuators based on the classification results , could you please point me on what to do for that. (I have been able to do this successfully using arduino nano 33 ble , but I am stuck on how to proceed this with the raspberry pi 4 environment )
I am new to raspberry pi environment
Hi @vinaycs ,
For the Raspberry Pi, you can use the Edge Impulse for Linux high level language SDKs that are available for:
For example using the python SDK and the audio classify.py example script, you might need to switch ON/OFF the actuators using GPIO here:
for res, audio in runner.classifier(device_id=selected_device_id):
print('Result (%d ms.) ' % (res['timing']['dsp'] + res['timing']['classification']), end='')
for label in labels:
score = res['result']['classification'][label]
print('%s: %.2f\t' % (label, score), end='')
print('', flush=True)
To prepare your Raspberry Pi 4 for audio classification with Edge Impulse, you can follow this tutorial in our docs: Raspberry Pi 4 - Edge Impulse Documentation.
Let me know if this helps.
Regards,
Clinton
@oduor_c
I am getting the following error when i am using the classify.py example script
This happens due to the following line
from edge_impulse_linux.runner import ImpulseRunner
(line 5 in the script)
Hi @vinaycs ,
Just to confirm you have installed the Python SDK on your Raspberry Pi using these instructions: Linux Python SDK - Edge Impulse Documentation?
Clinton
@oduor_c
Yeah , I have installed everything correctly
I have managed to fix this issue by updating numpy version from 1.19 to 1.20 ,
From what I read numpy 1.19 works well with python 3.7 but will cause issue with python version 3.9 which I had ,
So upgrading the numpy solved the issue for me
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