You can pass the --quantized argument to your command, it will build and download the quantized version. You can see all available arguments with the --help argument:
edge-impulse-linux-runner --help
Usage: edge-impulse-linux-runner [options]
Edge Impulse Linux runner 1.2.6
Options:
-V, --version output the version number
--model-file <file> Specify model file, if not provided the model will be
fetched from Edge Impulse
--api-key <key> API key to authenticate with Edge Impulse (overrides
current credentials)
--download <file> Just download the model and store it on the file system
--clean Clear credentials
--silent Run in silent mode, don't prompt for credentials
--quantized Download int8 quantized neural networks, rather than the
float32 neural networks. These might run faster on some
architectures, but have reduced accuracy.
--enable-camera Always enable the camera. This flag needs to be used to
get data from the microphone on some USB webcams.
--dev List development servers, alternatively you can use the
EI_HOST environmental variable to specify the Edge
Impulse instance.
--verbose Enable debug logs
-h, --help output usage information
Unfortunately this is as fast as it’ll go on the Pi 4 until we have some new smaller models for object detection. This 300ms is already with full hardware acceleration on the CPU.
I tried the quantized flag and ran the code. I got the following error
Traceback (most recent call last):
File "classify.py", line 130, in <module>
main(sys.argv[1:])
File "classify.py", line 97, in main
for res, img in runner.classifier(videoCaptureDeviceId):
File "/home/pi/.local/lib/python3.7/site-packages/edge_impulse_linux/image.py", line 61, in classifier
res = self.classify(features)
File "/home/pi/.local/lib/python3.7/site-packages/edge_impulse_linux/image.py", line 45, in classify
return super(ImageImpulseRunner, self).classify(data)
File "/home/pi/.local/lib/python3.7/site-packages/edge_impulse_linux/runner.py", line 60, in classify
return self.send_msg(msg)
File "/home/pi/.local/lib/python3.7/site-packages/edge_impulse_linux/runner.py", line 106, in send_msg
raise Exception(resp["error"])
Exception: Classifying failed, error code was -13