OpenMv上有蜂鸣器吗

@kidswong999 好吧，有什么办法补救吗

您好，代码已经在前一楼附上，可否快些回复我，谢谢

@kidswong999

import sensor, image, time

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # use RGB565.
sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
sensor.skip_frames(10) # Let new settings take affect.
sensor.set_auto_whitebal(False) # turn this off.
clock = time.clock() # Tracks FPS.

face_cascade = image.HaarCascade("frontalface", stages=25)



while(True):


    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot() # Take a picture and return the image.
    
    objects = sensor.snapshot().to_grayscale().find_features(face_cascade, threshold=0.75, scale=1.35)
   
    if objects:
        print("检测到人脸")
    
    for code in img.find_qrcodes():
        message = code.payload()
        print(message)
    
    
   

import sensor, image, time

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # use RGB565.
sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
sensor.skip_frames(10) # Let new settings take affect.
sensor.set_auto_whitebal(False) # turn this off.
clock = time.clock() # Tracks FPS.

face_cascade = image.HaarCascade("frontalface", stages=25)



while(True):


    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot() # Take a picture and return the image.
    
    objects = sensor.snapshot().to_grayscale().find_features(face_cascade, threshold=0.75, scale=1.35)
   
    if objects:
        print("检测到人脸")
    
    for code in img.find_qrcodes():
        message = code.payload()
        print(message)
    
    
   

麻烦看下

好的已解决，谢谢

把二维码和人脸检测代码结合了下，结果二维码被识别成人脸了？？

import sensor, time, image, pyb

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 = 5000) #等待5s

#SUB = "s1"
NUM_SUBJECTS = 4 #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

拍摄当前人脸。

img = sensor.snapshot()
#img = image.Image("singtown/%s/1.pgm"%(SUB))
d0 = img.find_lbp((0, 0, img.width(), img.height()))
#d0为当前人脸的lbp特征
img = None
pmin = 999999
num=0

def min(pmin, a, s):
global num
if a<pmin:
pmin=a
num=s
return pmin

for s in range(1, NUM_SUBJECTS+1):
dist = 0
for i in range(1, NUM_SUBJECTS_IMGS+1):
img = image.Image("singtown/s%d/%d.bmp"%(s, i))
d1 = img.find_lbp((0, 0, img.width(), img.height()))
#d1为第s文件夹中的第i张图片的lbp特征
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。
print("Average dist for subject %d: %d"%(s, dist/NUM_SUBJECTS_IMGS))
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(pmin)

print(num) # num为当前最匹配的人的编号。

   pan_servo.angle(pan_servo.angle()+pan_output)
    tilt_servo.angle(tilt_servo.angle()-tilt_output)

这个是云台追小球的那个代码，pan指的是底座的那个舵机吗吗？
为什么一个是加 ，一个是减，是如何通过坐标控制角度的？

请问wifi扩展板和云台可以共存吗，能否云台追踪同时实现数据传送，如何做呢？