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基于OPENMV的颜色追踪 与ST32一次性传输 X Y坐标

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OPENMV捕捉到颜色模块,并处理他的目标,得出X Y值 并加入串口检验位 此次校验位为 字符sp
from clipboard# Hello World Example## Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!import sensor, image, timefrom pyb import UARTuart = UART(3, 9600)sensor.reset() # Reset and initialize the sensor.sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)sensor.skip_frames(time = 2000) # Wait for settings take effect.clock = time.clock() # Create a clock object to track the FPS.red_threshold_01 = (91, 100, 127, -9, -20, 20)while(True): clock.tick() # Update the FPS clock. img = sensor.snapshot() # Take a picture and return the image. blobs = img.find_blobs([red_threshold_01], area_threshold=150) if blobs: # print(blobs) for b in blobs: img.draw_rectangle(b[0:4]) img.draw_cross(b[5], b[6]) #m=[b[5],b[6]] #b[5]=231 #m=int(b[5]) m=str(b[5]) m=m 'd' n=str(b[6]) m=m n m=m 'sp' #m='3sp' print(m,b[5]) uart.write(m) # print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected # to the IDE. The FPS should increase once disconnected.

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