openmv识别特征物体后，反馈坐标；但是Arduino怎么处理坐标？

Untitled - By: 16652 - 周五 1月 4 2019

import sensor, image, time
from pyb import UART

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
uart=UART(3,9600);

clock = time.clock()

while(True):
clock.tick()
img = sensor.snapshot()
img = sensor.snapshot().lens_corr(1.8)

circles = img.find_circles(threshold = 2000, x_margin = 10, y_margin = 10, r_margin = 10,
        r_min = 2, r_max = 100, r_step = 2)
if circles:
    data=[]
    for c in circles:
        img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0))       
        data.append((c.x(),c.y()))
data_out = json.dumps(set(data))
uart.write(data_out +'\n')

请大佬们帮忙看一下，十分感谢！

import sensor, image, time

sensor.reset()
sensor.set_pixformat(sensor.RGB565) # grayscale is faster (160x120 max on OpenMV-M7)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()

while(True):
clock.tick()
img = sensor.snapshot()

# `threshold` below should be set to a high enough value to filter out noise
# rectangles detected in the image which have low edge magnitudes. Rectangles
# have larger edge magnitudes the larger and more contrasty they are...

for r in img.find_rects(threshold = 10000):
    img.draw_rectangle(r.rect(), color = (255, 0, 0))
    for p in r.corners(): img.draw_circle(p[0], p[1], 5, color = (0, 255, 0))
    print(r)

print("FPS %f" % clock.fps())

请在这里粘贴代码

@kidswong999 好的，谢谢你

请问怎么将openmv焊到Arduino板子上呀？