UnitV2 Jupyter Notebook开发

驱动安装

Windows10

MacOS

• 安装完成后,若网卡无法正常启用,可以打开终端,使用下方命令重新启用网卡。

sudo ifconfig en10 down
sudo ifconfig en10 up

连接设备

• Ethernet模式连接: UnitV2内置了一张有线网卡, 当你通过TypeC接口连接PC时,将自动与UnitV2建立起网络连接。

• AP模式连接: UnitV2启动后,将默认开启AP热点(SSID: M5UV2_XXX: PWD:12345678),用户可以通过WiFi接入与UnitV2建立起网络连接。

Jupyter Notebook

案例程序

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 calute, '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 calute, '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)

• 命令行执行该命令，录制音频并保存至文件

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 soemthing
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

M5Stack UnitV2的内置摄像头位于 /dev/video0. 您可以尝试捕获静态图像帧

import cv2

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

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

使用matplotlib库将它展示到Jupyter notebook页面中

from matplotlib import pyplot as plt

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

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

将OpenCV使用的BGR转换为RGB,使得matplotlib显示的图像颜色正常。

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

plt.imshow(frame_rgb)

尝试转换为灰阶图

# 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') 

拍摄并保存图片

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登录

ssh m5stack@10.254.239.1 

//user: m5stack
//pwd: 12345678


//user: root
//pwd: 7d219bec161177ba75689e71edc1835422b87be17bf92c3ff527b35052bf7d1f

用户默认目录结构

//存储Jupyter Notebook中编辑的文件
/home/notebook

//存储识别功能服务文件资源,和一些模型文件
/home/m5stack 

相关OpenCV教程

• OpenCV tutorials