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