查看“MicroMV 跟色车”的源代码

=='''基本原理'''==
*MicroMV捕捉对应颜色的物体获取坐标
*通过串口发送给microduino
*microduino接收数据后控制小车

=='''MicroMV的代码准备'''==
把2017-10-16-find-ball-keep_shape_ok.py替换到MicroMV生成的U盘空间中的main.py做为主程序<br />
2017-10-16-find-ball-keep_shape_ok.py:
<source lang="py">
import sensor, image, time,math
from pyb import UART
from pyb import LED
from pyb import Pin
uart = UART(4, 9600)
uart_buf = bytearray([0xaa,0xbb,0x33,0x44,0x0d,0x0a])
visual_angle=56
target_width_mm=0
target_height_mm=0
target_width=0
target_height=0
target_angle=0
target_angle_h=0
target_distance=0
target_distance_h=0
target_distance_w=0
target_shape_begin=1
left_speed=1500
right_speed=1500
rad=0.01745329
steering_scale=0
#threshold = (35, 75, 25, 75, 15, 60) #orange bowl(3D print,night)
#threshold = (45, 85, 0, 70, 40, 80) #pink ball(Flowerpot,day)
#threshold = (50, 80, 30, 70, 40, 75) #pink ball(Flowerpot,night)
#threshold = (65, 100, 30, 50, 5, 30) #Pumpkin toy
#threshold = (45, 75, 0, 40, -50, -10) #blue bowl(3D print)
#threshold = (40, 70, -35, -10, -5,20) #green bowl(3D print)
threshold = (50, 80, 30, 70, 40, 75) #key set
ROI=(110,80,100,100)
robot_buf = bytearray([0xaa,0xbb,0x01,0xdc,0x05,0xdc,0x05,0x00])
def robotTX():
    #print("left:",left_speed,"right:",right_speed)
    robot_buf[3]=int(left_speed)%256
    robot_buf[4]=int(left_speed)//256
    robot_buf[5]=int(right_speed)%256
    robot_buf[6]=int(right_speed)//256
    check_sum=1
    check_sum^=4
    check_sum^=robot_buf[3]
    check_sum^=robot_buf[4]
    check_sum^=robot_buf[5]
    check_sum^=robot_buf[6]
    check_sum%=256
    robot_buf[7]=check_sum
    uart.write(robot_buf)

def trackTarget():
    global dir_mem
    global left_speed
    global right_speed
    global area_max
    global target_distance
    if target_num!=0 and abs(target_x)<130:
        if target_distance<50:
            steering_scale=4
        elif target_distance<100:
            steering_scale=3
        elif target_distance<150:
            steering_scale=2
        else:
            steering_scale=1
        left_speed=2000+target_x*steering_scale
        right_speed=2000-target_x*steering_scale

        if left_speed>2000:
            left_speed=2000
        elif left_speed<1000:
            left_speed=1000
        if right_speed>2000:
            right_speed=2000
        elif right_speed<1000:
            right_speed=1000

        if target_distance<50:
            steering_scale=2
        elif target_distance<100:
            steering_scale=1
        elif target_distance<150:
            steering_scale=0.5
        else:
            steering_scale=0
        left_speed-=abs(target_x*steering_scale)
        right_speed-=abs(target_x*steering_scale)

        if left_speed>2000:
            left_speed=2000
        elif left_speed<1000:
            left_speed=1000
        if right_speed>2000:
            right_speed=2000
        elif right_speed<1000:
            right_speed=1000
        if target_x>=0:
            dir_mem=2
        else:
            dir_mem=1
        if area_max>area_begin*0.7:
            left_speed=1500
            right_speed=1500
            print("get target")
        #print("x:",target_x,"y:",target_y,"left:",left_speed,"right:",right_speed)
    elif target_num!=0:
        if target_x>0:
            left_speed=2000
            right_speed=1500
        else:
            left_speed=1500
            right_speed=2000
    else:
        print("No target")
        if dir_mem==1:
            left_speed=1200
            right_speed=2000
        else:
            left_speed=2000
            right_speed=1200
    robotTX()
def carShake():
    global left_speed
    global right_speed
    for a in range(0,2):
        left_speed=1650
        right_speed=1350
        robotTX()
        time.sleep(40)
        left_speed=1350
        right_speed=1650
        robotTX()
        time.sleep(40)
    left_speed=1500
    right_speed=1500
    robotTX()
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must be turned off for color tracking
sensor.set_auto_whitebal(False) # must be turned off for color tracking
sensor.set_brightness(-3)
clock = time.clock()
dir_mem=0
target_x=0
target_y=0
area_begin=0
pin0 = Pin('SW', Pin.IN, Pin.PULL_UP)
carShake()
while(pin0.value()):
    img = sensor.snapshot()
    statistics=img.get_statistics(roi=ROI)
    img.draw_rectangle(ROI,color = (255, 0, 0))
    print(statistics.l_mode(),statistics.a_mode(),statistics.b_mode())
    threshold=(statistics.l_mode()-25,statistics.l_mode()+25,statistics.a_mode()-25,statistics.a_mode()+25,statistics.b_mode()-25,statistics.b_mode()+25)
carShake()
time.sleep(100)
carShake()
img = sensor.snapshot()
blobs =img.find_blobs([threshold], pixels_threshold=200, area_threshold=200, merge=True)
for blob in blobs:
    if blob.area()>area_begin:
        area_begin=blob.area()
        width_begin=blob.w()
        height_begin=blob.h()
target_angle=width_begin*visual_angle/320
target_angle_h=height_begin*visual_angle/360
target_width_mm=math.tan((target_angle/2)*rad)*240
target_height_mm=math.tan((target_angle_h/2)*rad)*240
target_shape_begin=width_begin/height_begin
print(target_angle)
print(target_width_mm)
while(True):
    img = sensor.snapshot()
    target_num=0
    area_max=0
    blobs =img.find_blobs([threshold], pixels_threshold=200, area_threshold=200, merge=True)
    for blob in blobs:
        img.draw_cross(blob.cx(), blob.cy())
        target_num=target_num+1
        if blob.area()>area_max:
            area_max=blob.area()
            target_x=blob.cx()-160
            target_y=140-blob.cy()
            target_width=blob.w()
            target_height=blob.h()
    for blob in blobs:
        if blob.area()==area_max:
            img.draw_rectangle(blob.rect())
    target_angle=target_width*visual_angle/320
    target_angle_h=target_height*visual_angle/360
    target_distance_w=target_width_mm/2/math.tan((target_angle/2)*rad)
    target_distance_h=target_height_mm/2/math.tan((target_angle_h/2)*rad)
    target_shape=target_width/target_height
    print("shape_begin:",target_shape_begin,"shape:",target_shape,"distance_w_mm",target_distance_w,"distance_h_mm",target_distance_h)
    if target_shape_begin/target_shape>0.8 and target_shape_begin/target_shape<1.2:
        target_distance=(target_distance_w+target_distance_h)/2
    elif target_shape_begin/target_shape>=1.2:
        target_distance=target_distance_h
    else:
        target_distance=target_distance_w
    print("dis",target_distance)
    trackTarget()
</source>
IDE运行效果为<br/>
[[File:microMVcolorDetector1.png||600px|left]]<br style="clear: left"/>
屏幕中有对应颜色物体就会用方框注明

=='''Microduino的代码准备'''==
<source lang="cpp">

</source>