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？

在P4引脚创建servo对象，创建Servo对象，怎么使用P4,P5引脚创建Servo对象？？

import sensor, image, time, network, usocket, sys
import pyb
import wifi
from pid import PID
from pyb import Servo
from pyb import Pin, Timer
SSID ='OPENMV_AP'    # Network SSID
KEY  ='1234567890'    # Network key (must be 10 chars)
HOST = ''           # Use first available interface
PORT = 8080         # Arbitrary non-privileged port

pan_servo=Servo(1)
tilt_servo=Servo(2)
led = pyb.LED(3)
green_threshold  = (31, 100, -100, -44, -2, 69)

pan_pid = PID(p=0.07, i=0, imax=90)
tilt_pid = PID(p=0.05, i=0, imax=90)

sensor.reset() # Initialize the camera sensor.
sensor.set_contrast(1)
sensor.set_brightness(1)
sensor.set_saturation(1)
sensor.set_gainceiling(16)
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)

# Init wlan module in AP mode.
wlan = network.WINC(mode=network.WINC.MODE_AP)
wlan.start_ap(SSID, key=KEY, security=wlan.WEP, channel=2)

# You can block waiting for client to connect
#print(wlan.wait_for_sta(10000))

def find_max(blobs):
    max_size=0
    for blob in blobs:
        if blob[2]*blob[3] > max_size:
            max_blob=blob
            max_size = blob[2]*blob[3]
    return max_blob



while (True):
    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot() # Take a picture and return the image.
    blobs = img.find_blobs([green_threshold])
    objects = img.to_grayscale().find_features(face_cascade, threshold=0.75, scale=1.35)
 
       
    if blobs:
        max_blob = find_max(blobs)
        pan_error = max_blob.cx()-img.width()/2
        tilt_error = max_blob.cy()-img.height()/2
        print("pan_error: ", pan_error)
        img.draw_rectangle(max_blob.rect()) # rect
        img.draw_cross(max_blob.cx(), max_blob.cy()) # cx, cy
        pan_output=pan_pid.get_pid(pan_error,1)/2
        tilt_output=tilt_pid.get_pid(tilt_error,1)
        print("pan_output",pan_output)
        pan_servo.angle(pan_servo.angle()+pan_output)
        tilt_servo.angle(tilt_servo.angle()-tilt_output)
    elif objects:
        led.on()
        time.sleep_ms(150)     #延时150ms
        led.off()
    else:
        # Create server socket
        s = usocket.socket(usocket.AF_INET, usocket.SOCK_STREAM)
        try:
            # Bind and listen
            s.bind([HOST, PORT])
            s.listen(5)
    
            # Set server socket timeout
            # NOTE: Due to a WINC FW bug, the server socket must be closed and reopened if
            # the client disconnects. Use a timeout here to close and re-create the socket.
            s.settimeout(3)
            wifi.start_streaming(s)
        except OSError as e:
            s.close()
            print("socket error: ", e)
            #sys.print_exception(e)