比如它一直是有眼睛，那么a就一直是一个值，当没有眼睛的时候，标志位就变化一次，然后num+1,然后如果一直没眼睛，标志位也就一直不变

import sensor, time, image

sensor.reset()
sensor.set_contrast(3)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.VGA)
sensor.set_windowing((220, 190, 200, 100))
sensor.set_pixformat(sensor.GRAYSCALE)

eyes_cascade = image.HaarCascade("eye", stages=24)
print(eyes_cascade)

clock = time.clock()

num=0
while (True):
    clock.tick()
    img = sensor.snapshot()

    eyes = img.find_features(eyes_cascade, threshold=0.5, scale=1.5)
    for e in eyes:
        iris = img.find_eye(e)
        img.draw_rectangle(e)
        img.draw_cross(iris[0], iris[1])
    if img.draw_cross(iris[0], iris[1]):
        if a==1:
            num=num+1
            a=!a
        else if:
            a=!a
    print(num)

import sensor, time, image, pyb
from pyb import UART
from pyb import Pin
from pyb import ExtInt

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # or sensor.GRAYSCALE
sensor.set_framesize(sensor.B128X128) # or sensor.QQVGA (or others)
sensor.set_windowing((92,112))
sensor.skip_frames(10) # Let new settings take affect.
sensor.skip_frames(time = 2000) #等待5s
uart = UART(3, 115200)#串口波特率
uart.init(115200,bits=8,parity=None,stop=1)

key_pin=Pin('P7',pyb.Pin.OUT_OD,pyb.Pin.PULL_UP)

#SUB = "s1"
NUM_SUBJECTS = 2 #图像库中不同人数，一共6人
NUM_SUBJECTS_IMGS = 20 #每人有20张样本图片

img = None
pmin = 999999
num=0
def min(pmin, a, s):
global num
if a<pmin:
pmin=a
num=s
return pmin
#外部中断配置
def callback(line):
if(key_pin.value()):
print('5')
else:
print('6')
#extint = pyb.ExtInt(key_pin, pyb.ExtInt.IRQ_RISING_FALLING, pyb.Pin.PULL_DOWN, callback)
extint = ExtInt(Pin('P7'), ExtInt.IRQ_RISING, Pin.PULL_NONE, callback)
while(1):
img = sensor.snapshot()
d0 = img.find_lbp((0, 0, img.width(), img.height()))
img = sensor.snapshot()
if uart.any():
t=uart.readline().decode().strip()
print(t)
for s in range(1, NUM_SUBJECTS+1):
dist = 0
for i in range(2, NUM_SUBJECTS_IMGS+1):
img = image.Image("singtown/s%d/%d.pgm"%(s, i))
d1 = img.find_lbp((0, 0, img.width(), img.height()))
dist += image.match_descriptor(d0, d1)#计算d0 d1即样本图像与被检测人脸的特征差异度。
pmin = min(pmin, dist/NUM_SUBJECTS_IMGS, s)#特征差异度越小，被检测人脸与此样本更相似更匹配。
print(num) # num为当前最匹配的人的编号。
uart.write(str(num)+'\r\n') #发送串口数据
我没有添加

return_pin = Pin('P0', Pin.PULL_UP, Pin.OUT_PP)
def return_start():
    wave_trig_pin.value(1)
    utime.sleep_us(15)
    return_pin.value(0)
callback = lambda e: print("intr")
extint = ExtInt(Pin('P0'), ExtInt.IRQ_RISING, Pin.PULL_NONE, callback)
#SUB = "s1"
NUM_SUBJECTS = 2 #图像库中不同人数，一共6人
NUM_SUBJECTS_IMGS = 20 #每人有20张样本图片

img = None
pmin = 999999
num=0
def min(pmin, a, s):
    global num
    if a<pmin:
        pmin=a
        num=s
    return pmin
def callback(line):
    if(return_pin .value()):
        print("4")
    else:
        extint.disable()
while(1):
    def callback(line):
        if(return_pin .value()):
            print("4")
        else:
            extint.disable()
    img = sensor.snapshot()
    d0 = img.find_lbp((0, 0, img.width(), img.height()))
    img = sensor.snapshot()
    if uart.any():
        t=uart.readline().decode().strip()
        print(t)
    for s in range(1, NUM_SUBJECTS+1):
        dist = 0
        for i in range(2, NUM_SUBJECTS_IMGS+1):
            img = image.Image("singtown/s%d/%d.pgm"%(s, i))
            d1 = img.find_lbp((0, 0, img.width(), img.height()))
            dist += image.match_descriptor(d0, d1)#计算d0 d1即样本图像与被检测人脸的特征差异度。
        pmin = min(pmin, dist/NUM_SUBJECTS_IMGS, s)#特征差异度越小，被检测人脸与此样本更相似更匹配。
        print(num) # num为当前最匹配的人的编号。
        uart.write(str(num)+'\r\n') #发送串口数据

我想靠按键实现外部中断 运行程序没有报错 但是按键没有反应 跳不出来循环

我看讨论群说有人做出来了

这个连续运动的模型有没有教程 自己用手机记录的运动得到的模型总是不对

openmv的edge网站适合做驾驶员疲劳度检测模型吗

![0_1611030189441_DKH@9_RNHNL2MSQ18]H]KUS.png](https://fcdn.singtown.com/4be8b1a9-07e6-4bb0-bed5-67cd0460fe4f.png)

请在这里粘贴代码

确实跟着教程一步一步走 但就是分辨不出来

# Snapshot Example
#
# Note: You will need an SD card to run this example.
#
# You can use your OpenMV Cam to save image files.

import sensor, image, pyb

RED_LED_PIN = 1
BLUE_LED_PIN = 3

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # or sensor.GRAYSCALE
sensor.set_framesize(sensor.QQVGA) # or sensor.QQVGA (or others)
sensor.set_windowing((92,112))
sensor.skip_frames(10) # Let new settings take affect.
sensor.skip_frames(time = 2000)

num = 1 #设置被拍摄者序号，第一个人的图片保存到s1文件夹，第二个人的图片保存到s2文件夹，以此类推。每次更换拍摄者时，修改num值。

n = 20 #设置每个人拍摄图片数量。

#连续拍摄n张照片，每间隔3s拍摄一次。
while(n):
    #红灯亮
    pyb.LED(RED_LED_PIN).on()
    sensor.skip_frames(time = 3000) # Give the user time to get ready.等待3s，准备一下表情。

    #红灯灭，蓝灯亮
    pyb.LED(RED_LED_PIN).off()
    pyb.LED(BLUE_LED_PIN).on()

    #保存截取到的图片到SD卡
    print(n)
    sensor.snapshot().save("singtown/s%s/%s.pgm" % (num, n) ) # or "example.bmp" (or others)

    n -= 1

    pyb.LED(BLUE_LED_PIN).off()
    print("Done! Reset the camera to see the saved image.")