I dug this up from a README somewhere:
If this is the one, it should fit... But then there is this:
https://github.com/raspberrypi/pico-tflmicro
while this:
https://github.com/tensorflow/tflite-micro
does not list RPi Pico support. Not a tflite-micro user, so I'm just talking generalities, filling in some blanks to move this forward, if at all possible.
Question is, when running micro_speech with its original model, how much free memory is left?
Code:
### Reference **MCU** memory footprint based on ESC-10 dataset| Model | Format | Resolution | Series | Activation RAM (kB) | Runtime RAM (kB) | Weights Flash (kB) | Code Flash (kB) | Total RAM (kB) | Total Flash (kB) | STM32Cube.AI version ||-------------------|--------|------------|---------|---------------------|------------------|--------------------|-----------------|-----------------|------------------|-----------------------||[Yamnet 256] | Int8 | 64x96x1 | ... | 109.57 | 7.61 | 135.91 | 57.74 | 117.18 | 193.65 | 10.0.0 |https://github.com/raspberrypi/pico-tflmicro
while this:
https://github.com/tensorflow/tflite-micro
does not list RPi Pico support. Not a tflite-micro user, so I'm just talking generalities, filling in some blanks to move this forward, if at all possible.
Question is, when running micro_speech with its original model, how much free memory is left?
Statistics: Posted by katak255 — Wed Oct 08, 2025 11:50 pm