# Convert from BGR to RGB frame_rgb = cv 2.cvtColor(frame, cv 2.COLOR_BGR 2RGB) # Magic to tell matplotlib display the image in jupyter notebookĬonvert the BGR used by OpenCV to RGB, so that the color of the image displayed by matplotlib is normal. Use the matplotlib library to display it on the Jupyter notebook page from matplotlib import pyplot as plt You can try to capture still image frames import cv2 The built-in camera of M5Stack UnitV2 is located at /dev/video0. Line = uart_grove.readline() # read a '/n' terminated line Camera read( 10) # read up to ten bytes (timeout) # encode is for converting the string to bytes, or you can directly send bytes
#ARDUINO TO PYTHON JUPYTER NOTEBOOK SERIAL#
# Open the serial port, and set the baudrate to 115200 Execute the command from the command line, record audio and save it to a fileĪrecord -d 20 -r 48000 -c 2 -f S 16_LE audio.wav.write(str( value)) # Set the calute, '1' or '0' for i in range( 10):Īudio_cmd = Īudio_source = subprocess. write( 'out') # Set the direction of the GPIO open( '/sys/class/gpio/gpio1/value', 'w'). write( '1') # Export the GPIO0 open( '/sys/class/gpio/gpio1/direction', 'w'). write(str( value)) # Set the calute, '1' or '0' write( 'out') # Set the direction of the GPIO open( '/sys/class/gpio/gpio0/value', 'w'). write( '0') # Export the GPIO0 open( '/sys/class/gpio/gpio0/direction', 'w'). Select the program step by step according to the program comment, and then click the run button above to experience online debugging of the device.
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