UnitV2 Jupyter Notebook Development

Driver Installation

Windows10

MacOS

• After installation, if the network card cannot be enabled normally, you can open the terminal and use the following command to re-enable the network card.

sudo ifconfig en10 down
sudo ifconfig en10 up

Connecting the Device

• Ethernet mode connection: UnitV2 has a built-in wired network card. When you connect to a PC via the TypeC interface, a network connection with UnitV2 will be automatically established.

• AP mode connection: After UnitV2 starts, it will default to enabling the AP hotspot (SSID: M5UV2_XXX: PWD:12345678), allowing users to establish a network connection with UnitV2 through WiFi.

Jupyter Notebook

the settings button in the upper right corner->Switch to Jupyter Notebook, and refresh according to the page prompts.

Example Programs

LED

import time

def control_white_led(value):
    open('/sys/class/gpio/export', 'w').write('0') # Export the GPIO0
    open('/sys/class/gpio/gpio0/direction', 'w').write('out') # Set the direction of the GPIO
    open('/sys/class/gpio/gpio0/value', 'w').write(str(value)) # Set the value, '1' or '0'
    
def control_red_led(value):
    open('/sys/class/gpio/export', 'w').write('1') # Export the GPIO0
    open('/sys/class/gpio/gpio1/direction', 'w').write('out') # Set the direction of the GPIO
    open('/sys/class/gpio/gpio1/value', 'w').write(str(value)) # Set the value, '1' or '0'


for i in range(10):
    control_white_led(0)
    time.sleep(0.5)
    control_white_led(1)
    time.sleep(0.5)

Microphone

import subprocess
import audioop
import time

audio_cmd = ['arecord', '-D', 'plughw:0', '-f', 'S16_LE', '-c', '1', '-r', '48000', '-t', 'raw', '-q', '-']
audio_source = subprocess.Popen(audio_cmd, stdout=subprocess.PIPE)

while True:
    audio_source.stdout.flush()
    data = audio_source.stdout.read(512)
    rms = audioop.rms(data, 2)
    print(rms)
    time.sleep(0.1)

• Execute this command in the terminal to record audio and save it to a file

arecord -d 20 -r 48000 -c 2 -f S16_LE audio.wav

UART

import serial

# Open the serial port, and set the baudrate to 115200
uart_grove = serial.Serial('/dev/ttyS1', 115200, timeout=0.5)

# Send Something
uart_grove.write('hello'.encode('utf-8')) 
# encode is for converting the string to bytes, or you can directly send bytes
uart_grove.write(b'hello') 


# Receive something
x = uart_grove.read()          # read one byte
s = uart_grove.read(10)        # read up to ten bytes (timeout)
line = uart_grove.readline()   # read a '/n' terminated line

Camera

The built-in camera of the M5Stack UnitV2 is located at /dev/video0. You can try to capture a static image frame.

import cv2

camera = cv2.VideoCapture(0)
ret, frame = camera.read()

if ret:
    print('Capture Successful!')
else:
    print('Oops, we get some trouble!')

Use the matplotlib library to display it on the Jupyter notebook page.

from matplotlib import pyplot as plt

# Magic to tell matplotlib to display the image in jupyter notebook
%matplotlib inline 

# Let's show the image! 
plt.imshow(frame)

Convert from OpenCV's BGR to RGB to make the color of the image displayed by matplotlib normal.

# Convert from BGR to RGB
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

plt.imshow(frame_rgb)

Try converting to grayscale.

# Convert from BGR to RGB
frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

# We need to tell matplotlib it is a grey image. You can try to change to other cmap, refer here: https://matplotlib.org/stable/tutorials/colors/colormaps.html
plt.imshow(frame_gray, cmap='gray') 

Capture and save the image.

import cv2
camera = cv2.VideoCapture(0)
ret, frame = camera.read()

if ret:
    print('Capture Successful!')
    cv2.imwrite('test2.png', frame)
else:
    print('Oops, we get some trouble!')

SSH Login

ssh m5stack@10.254.239.1 

//user: m5stack
//pwd: 12345678

//user: root
//pwd: 7d219bec161177ba75689e71edc1835422b87be17bf92c3ff527b35052bf7d1f

User default directory structure

//To store files edited in Jupyter Notebook
/home/notebook

//To store recognition service file resources, and some model files
/home/m5stack 

Related OpenCV Tutorials

• OpenCV tutorials