49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
|
# LSM6DSOX IMU MLC (Machine Learning Core) Example.
|
||
|
|
# Download the raw UCF file, copy to storage and reset.
|
||
|
|
|
||
|
|
# NOTE: The pre-trained models (UCF files) for the examples can be found here:
|
||
|
|
# https://github.com/STMicroelectronics/STMems_Machine_Learning_Core/tree/master/application_examples/lsm6dsox
|
||
|
|
|
||
|
|
import time
|
||
|
|
from lsm6dsox import LSM6DSOX
|
||
|
|
from machine import Pin, I2C
|
||
|
|
|
||
|
|
INT_MODE = True # Run in interrupt mode.
|
||
|
|
INT_FLAG = False # Set True on interrupt.
|
||
|
|
|
||
|
|
|
||
|
|
def imu_int_handler(pin):
|
||
|
|
global INT_FLAG
|
||
|
|
INT_FLAG = True
|
||
|
|
|
||
|
|
|
||
|
|
if INT_MODE == True:
|
||
|
|
int_pin = Pin(24)
|
||
|
|
int_pin.irq(handler=imu_int_handler, trigger=Pin.IRQ_RISING)
|
||
|
|
|
||
|
|
i2c = I2C(0, scl=Pin(13), sda=Pin(12))
|
||
|
|
|
||
|
|
# Vibration detection example
|
||
|
|
UCF_FILE = "lsm6dsox_vibration_monitoring.ucf"
|
||
|
|
UCF_LABELS = {0: "no vibration", 1: "low vibration", 2: "high vibration"}
|
||
|
|
# NOTE: Selected data rate and scale must match the MLC data rate and scale.
|
||
|
|
lsm = LSM6DSOX(i2c, gyro_odr=26, accel_odr=26, gyro_scale=2000, accel_scale=4, ucf=UCF_FILE)
|
||
|
|
|
||
|
|
# Head gestures example
|
||
|
|
# UCF_FILE = "lsm6dsox_head_gestures.ucf"
|
||
|
|
# UCF_LABELS = {0:"Nod", 1:"Shake", 2:"Stationary", 3:"Swing", 4:"Walk"}
|
||
|
|
# NOTE: Selected data rate and scale must match the MLC data rate and scale.
|
||
|
|
# lsm = LSM6DSOX(i2c, gyro_odr=26, accel_odr=26, gyro_scale=250, accel_scale=2, ucf=UCF_FILE)
|
||
|
|
|
||
|
|
print("MLC configured...")
|
||
|
|
|
||
|
|
while True:
|
||
|
|
if INT_MODE:
|
||
|
|
if INT_FLAG:
|
||
|
|
INT_FLAG = False
|
||
|
|
print(UCF_LABELS[lsm.read_mlc_output()[0]])
|
||
|
|
else:
|
||
|
|
buf = lsm.read_mlc_output()
|
||
|
|
if buf != None:
|
||
|
|
print(UCF_LABELS[buf[0]])
|