我是靠谱客的博主 高大帽子，最近开发中收集的这篇文章主要介绍m1w dock开发板 k210 人脸追踪云台 maixpy参考：准备舵机测试代码云台代码，觉得挺不错的，现在分享给大家，希望可以做个参考。
概述
k210 人脸追踪云台 maixpy
- 参考：
- 准备
- 舵机测试代码
- 云台代码
参考：
图形化编程版
官方例程
舵机测试例程
准备
舵机云台：tb直接sg90云台成品，最好是mg90
电源：我是外接的5V电源，记得共地
m1w dock 开发板
刷入 人脸识别模型
这里
舵机测试代码
'''
实验名称：舵机控制（Servo Control）
版本：v1.0
日期：2019.12
作者：01Studio 【www.01Studio.org】
说明：通过编程控制舵机旋转到不同角度
'''
from machine import Timer,PWM
import time
#PWM通过定时器配置，接到IO17引脚（Pin IO17）
tim = Timer(Timer.TIMER0, Timer.CHANNEL0, mode=Timer.MODE_PWM)
S1 = PWM(tim, freq=50, duty=0, pin=17)
'''
说明：舵机控制函数
功能：180度舵机：angle:-90至90 表示相应的角度
360连续旋转度舵机：angle:-90至90 旋转方向和速度值。
【duty】占空比值：0-100
'''
def Servo(servo,angle):
S1.duty((angle+90)/180*10+2.5)
while True:
#-90度
Servo(S1,-90)
time.sleep(1)
#-45度
Servo(S1,-45)
time.sleep(1)
#0度
Servo(S1,0)
time.sleep(1)
#45度
Servo(S1,45)
time.sleep(1)
#90度
Servo(S1,90)
time.sleep(1)
云台代码
在官方代码上改了pd代码，只是自己用的习惯，效果没有进行比较过。
然后加了点注释，看起来应该会更容易一点
from machine import Timer,PWM
import sensor, image, time, lcd
from fpioa_manager import fm
from Maix import GPIO
import KPU as kpu
"""位置式PD的类"""
class PID:
def __init__(self,minout,maxout,intergral_limit, kp, ki, kd):
self.p= kp
self.i = ki
self.d = kd
self.Minoutput = minout
self.MaxOutput = maxout
self.IntegralLimit = intergral_limit
self.pout=0
self.iout=0
self.dout=0
self.delta_u=0
self.delta_out=0
self.last_delta_out=0
self._set=[0,0,0]
self._get=[0,0,0]
self._err=[0,0,0]
def pid_calc(self, _get, _set) :
#self._get[2] = _get
#self._set[2] = _set
self._err[2] = _set - _get
self.pout =self.p * self._err[2]
#self.iout = self.i * self._err[2]
self.dout = self.d * (self._err[2] - self._err[1])
#print("pout: {}, dout: {}".format(self.pout , self.dout ))
#if self.iout>=self.IntegralLimit:
# self.iout=self.IntegralLimit
#if self.iout<-self.IntegralLimit:
# self.iout=-self.IntergralLimit
self.delta_out = self.pout + self.iout +self.dout
#self.delta_out = self.last_delta_out + self.delta_u
#if self.delta_out>self.MaxOutput:
# self.delta_out=self.MaxOutput
#if self.delta_out<self.Minoutput:
# self.delta_out=self.Minoutput
# self.last_delta_out = self.delta_out
self._err[0] = self._err[1]
self._err[1] = self._err[2]
# self._get[0] = self._get[1]
#self._get[1] = self._get[2]
#self._set[0] = self._set[1]
#self._set[1] = self._set[2]
return self.delta_out
"""关于舵机的类"""
class SERVO:
def __init__(self, pwm, dir=50, duty_min=2.5, duty_max=12.5):
self.value = dir #【0~100】
self.pwm = pwm #pwm的类
self.duty_min = duty_min
self.duty_max = duty_max
self.duty_range = duty_max -duty_min
self.enable(True)
self.pwm.duty(self.value/100*self.duty_range+self.duty_min)
def enable(self, en): #使能
if en:
self.pwm.enable()
else:
self.pwm.disable()
def dir(self, percentage): #手动控制角度调用
if percentage > 100:
percentage = 100
elif percentage < 0:
percentage = 0
self.pwm.duty(percentage/100*self.duty_range+self.duty_min)
def drive(self, add): #连续控制角度调用
print("value:",self.value,"add:",add)
self.value = self.value+add
if self.value > 100:
self.value = 100
elif self.value < 0:
self.value = 0
#print("value:",self.value,"add:",add)
self.pwm.duty(self.value/100*self.duty_range+self.duty_min)
#人脸目标类
class TARGET():
def __init__(self, out_range=10, ignore_limit=0.02, hmirror=False, vflip=False, lcd_rotation=2, lcd_mirror=True):
self.pitch = 0
self.roll = 0
self.out_range = out_range
self.ignore = ignore_limit
#摄像头初始化参数配置
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
if hmirror:
sensor.set_hmirror(1)
if vflip:
sensor.set_vflip(1)
#lcd初始化配置
lcd.init(freq=15000000)
lcd.clear(lcd.WHITE)
#lcd.rotation(lcd_rotation)
#lcd.mirror(lcd_mirror)
#人脸检测模型加载，参数配置和初始化
self.task = kpu.load(0x300000)
anchor = (1.889, 2.5245, 2.9465, 3.94056, 3.99987, 5.3658, 5.155437, 6.92275, 6.718375, 9.01025)
kpu.init_yolo2(self.task, 0.5, 0.3, 5, anchor)
#获得误差
def get_target_err(self):
img = sensor.snapshot()
objects = kpu.run_yolo2(self.task, img)
if objects:
max_area = 0
max_i = 0
for i, j in enumerate(objects):#查找最大面积最大的对象 i为索引值
a = j.w()*j.h()
if a > max_area:
max_i = i
max_area = a
img = img.draw_rectangle(objects[max_i].rect())
core_y=objects[max_i].y() + objects[max_i].h() / 2
core_x=objects[max_i].x() + objects[max_i].w() / 2
#将误差缩放到这个范围【-10，10】
self.pitch = core_y/240*self.out_range*2 - self.out_range
self.roll = core_x/320*self.out_range*2 - self.out_range
# 在这个范围【-0.2，0.2】，则认为在中心
if abs(self.pitch) < self.out_range*self.ignore:
self.pitch = 0
if abs(self.roll) < self.out_range*self.ignore:
self.roll = 0
img = img.draw_cross(int(core_x), int(core_y))
lcd.display(img)
return (self.pitch, self.roll)
else:
img = img.draw_cross(160, 120)
lcd.display(img)
return (0, 0) # 没找到人 就返回在中央坐标
class GIMBAL:
def __init__(self, pitch, pid_pitch, roll, pid_roll, yaw=None, pid_yaw=None):
self._pitch = pitch
self._roll = roll
#self._yaw = yaw
self._pid_pitch = pid_pitch
self._pid_roll = pid_roll
#self._pid_yaw = pid_yaw
def set_out(self, pitch, roll, yaw=None):
pass
def run(self, pitch_err, roll_err, yaw_err=None, pitch_reverse=False, roll_reverse=False, yaw_reverse=False):
out = self._pid_pitch.pid_calc(pitch_err, 0)
#print("pitch_err: {}, out: {}".format(pitch_err, out))
if pitch_reverse:
out = - out
self._pitch.drive(out)
out = self._pid_roll.pid_calc(roll_err, 0)
# print("roll_err: {}, out: {}".format(roll_err, out))
if roll_reverse:
out = - out
self._roll.drive(out)
#if self._yaw:
#out = self._pid_yaw.get_pid(yaw_err, 1)
#if yaw_reverse:
#out = - out
#self._yaw.drive(out)
#摄像头和lcd的反转还是不反转根据实际情况设定
#c参数设置
init_pitch = 60 # init position, value: [0, 100], means minimum angle to maxmum angle of servo
init_roll = 50 # 50 means middle
sensor_hmirror = False #水平反转
sensor_vflip = True #垂直反转
lcd_rotation = 2 #旋转180度
lcd_mirror = True #水平反转
pitch_pid = [0,100,0,0.8, 0, 0.5] # min max I_max P I D #0,100,0,0.23, 0, 0.015
roll_pid = [0,100,0,0.8, 0, 0.5] # min max I_max P I D
target_err_range = 10 # target error output range, default [0, 10]
target_ignore_limit = 0.02 # when target error < target_err_range*target_ignore_limit , set target error to 0
pitch_reverse = True # reverse out value direction
roll_reverse = True # ..
#pwm初始化
pitch_pin_1=24
roll_pin_2=25
tim0= Timer(Timer.TIMER0, Timer.CHANNEL0, mode=Timer.MODE_PWM)
pitch_pwm = PWM(tim0, freq=50, duty=0, pin=pitch_pin_1)
tim2 = Timer(Timer.TIMER0, Timer.CHANNEL1, mode=Timer.MODE_PWM)
roll_pwm = PWM(tim2, freq=50, duty=0, pin=roll_pin_2)
#舵机初始化
pitch = SERVO(pitch_pwm, dir=init_pitch)
roll = SERVO(roll_pwm, dir=init_roll)
#pid初始化
pid_pitch = PID(minout=pitch_pid[0],maxout=pitch_pid[1],intergral_limit=pitch_pid[2],kp=pitch_pid[3], ki=pitch_pid[4], kd=pitch_pid[5] )
pid_roll = PID(minout=roll_pid[0],maxout=roll_pid[1],intergral_limit=roll_pid[2],kp=roll_pid[3], ki=roll_pid[4], kd=roll_pid[5])
#云台初始化
gimbal = GIMBAL(pitch, pid_pitch, roll, pid_roll)
#人脸追踪初始化
target = TARGET(target_err_range, target_ignore_limit, sensor_hmirror, sensor_vflip, lcd_rotation, lcd_mirror)
#target_pitch = init_pitch
#target_roll = init_roll
while 1:
# get target error
err_pitch, err_roll = target.get_target_err()
#print("误差值",err_pitch,err_roll) #y x
# run
gimbal.run(err_pitch, err_roll, pitch_reverse = pitch_reverse, roll_reverse=roll_reverse)
最后
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