基于OPENMV的颜色追踪 与ST32一次性传输 X Y坐标

【实例截图】

【核心代码】

# Hello World Example
#
# Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!

import sensor, image, time
from pyb import UART
uart = 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.