以下代码为矩形识别代码，如何反馈矩形的中心位置（坐标）具体是多少呀？

[2xvc_1545910308]

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

[2xvc_1545910308]

请大佬们帮忙看一下，十分感谢！

[kidswong999]

https://docs.singtown.com/micropython/zh/latest/openmvcam/library/omv.image.html#rect

根据文档，就是

中心x坐标 = r.x() + r.w()/2
中心y坐标 = r.y() + r.h()/2