电赛e题自动追踪系统OpenMV视觉代码详解与完整攻略
openmv很常用了,会有几个很明显的问题,看不见,找不到红色激光。
第四问找到的矩形,的四个点顺序不对,应该怎么描点(细分多少份好一点)。
这个就是问题了。
现在一个一个解决。
1.关于看不见的问题
sensor.set_brightness(-3)
sensor.set_contrast(-3)
调试这两个函数。
2.关于找到四个矩形框,四个点不是顺时针问题。
先是找矩形框:
for i in range(10):
img = sensor.snapshot().lens_corr(strength = 1.5, zoom = 1)
#img.binary(heikuang)#.erode(1)
for r in img.find_rects(threshold = 10000,roi=(75,5,191,203)):
#img.draw_rectangle(r.rect(), color = (255, 0, 0))
for p in r.corners():
a+=1
img.draw_circle(p[0], p[1], 5, color = (0, 255, 0))
#print(p)
if a<=4:
dian.add(p)
我找10次就好了,然后画出来。
看找的对不对。
这块的代码就是对点进行排序。(思路是,x最小为第一个点,x最大为第三个点,y最大为第四个,y最小为第二个。)
完美解决!!!
3.细分多少份。
我这里有绝妙的方法,我细分了无数份。—》我上面求出了矩形的四个点,并且·对他进行排序了。然后我就可以求出这,四条边的直线了,然后让直线·向内收缩,收缩到中心位置。
我的细分点为,目标点,红色点为当前值。我用当前值+1个像素,作为目标点的x,再把x代直线求y。就是完美的细分。
具体代码:
1. 给点求直线。
2.求出直线并向内收缩
(我这里等分了,这个不用管,我在下面将这几个点画出来,看我找的对不对!!!)
3.细分(我这里求目标点和现在点的差值,来进行换点!!!)
其实具体代码思路就那样,具体代码要靠自己去写。
完整代码:
# Untitled - By: 24882 - Tue Jun 25 2024
heikuang =[(0, 107)]
roi1=[(79,32,165,163),(81,12,401,404)]
bai_se=0
red = [(0, 60, 2, 68, 53, -24)]
green=[(59, 85, -78, 23, -11, 60)]
import sensor, image, time,pyb
from pyb import Pin, ExtInt
from pyb import LED
from pyb import UART
from pid import PID
from machine import UART
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 20)
sensor.set_hmirror(True)
sensor.set_vflip(True)
clock = time.clock()
uart = UART(3, 115200)
uart1 = UART(1, 115200)
dian=set()
a=0
b=()
c=()
d=()
e=0
dian1=[]
dian2=[]
dian3=[]
dian4=[]
zuobiao=[]
zhongjian=()
def sending_data3(a1,a2,a3,a4,a5,a6,a7,a8):
FH= bytearray([0x01,a1,a2,a3,a4,a5,a6,a7,a8,0x64])
uart.write(FH)
def sending_data1(a1,a2,a3,a4,a5,a6,a7,a8):
FH= bytearray([0x01,a1,a2,a3,a4,a5,a6,a7,a8,0x64])
uart1.write(FH)
for i in range(10):
img = sensor.snapshot().lens_corr(strength = 1.5, zoom = 1)
#img.binary(heikuang)#.erode(1)
for r in img.find_rects(threshold = 10000,roi=(75,5,191,203)):
#img.draw_rectangle(r.rect(), color = (255, 0, 0))
for p in r.corners():
a+=1
img.draw_circle(p[0], p[1], 5, color = (0, 255, 0))
#print(p)
if a<=4:
dian.add(p)
ge=0
diyi=0
def takeSecond(elem):
return elem[0]
sensor.set_pixformat(sensor.RGB565)
z1x=0
z1y=0
z2x=0
z2y=0
z3x=0
z3y=0
z4x=0
z4y=0
k1=0
b1=0
k2=0
b2=0
k2=0
b2=0
k3=0
b3=0
k4=0
b4=0
def zhixianwai1(ax,ay,bx,by):
global k1,b1
k1=(ay-by)/(ax-bx)
b1=ay-k1*ax
def zhixianwai2(ax,ay,bx,by):
global k2,b2
k2=(ay-by)/(ax-bx)
b2=ay-k2*ax
def zhixianwai3(ax,ay,bx,by):
global k3,b3
k3=(ay-by)/(ax-bx)
b3=ay-k3*ax
def zhixianwai4(ax,ay,bx,by):
global k4,b4
k4=(ay-by)/(ax-bx)
b4=ay-k4*ax
def find_max(blobs):
max_blob = 0
max_size = 0
for blob in blobs:
if blob[4]>max_size:
max_blob = blob
max_size = blob[4]
return max_blob
i=0
flaghuan=0
countflag=0
dian1x=0
dian1y=0
dian2x=0
dian2y=0
sensor.set_pixformat(sensor.RGB565)
sensor.set_brightness(-3)
sensor.set_contrast(-3)
mode=0
while(True):
mode=2
dian1=list(dian)
dian1.sort(key=takeSecond)
#print(dian1)
img = sensor.snapshot().lens_corr(strength = 1.5, zoom = 1)*
sorted_indices = sorted(enumerate(dian1), key=lambda x: x[1][0])
sorted_matrix = [dian1[idx] for idx, _ in sorted_indices]
z1x=sorted_matrix[0][0]
z1y=sorted_matrix[0][1]
z3x=sorted_matrix[3][0]
z3y=sorted_matrix[3][1]
sorted_indices2 = sorted(enumerate(dian1), key=lambda y: y[1][1])
sorted_matrix2 = [dian1[idy] for idy, _ in sorted_indices2]
z2x=sorted_matrix2[0][0]
z2y=sorted_matrix2[0][1]
z4x=sorted_matrix2[3][0]
z4y=sorted_matrix2[3][1]
zhixianwai1(z1x,z1y,z2x,z2y)
dengfen1=abs(z2x-z1x)/3
mubiao1x=z1x+dengfen1
mubiao1y=mubiao1x*k1+b1+5
mubiao2x=z1x+dengfen1*2
mubiao2y=mubiao2x*k1+b1+5
zhixianwai2(z2x,z2y,z3x,z3y)
dengfen2=abs(z3x-z2x)/3
mubiao3x=z2x+dengfen2
mubiao3y=mubiao3x*k2+b2+5
mubiao4x=z2x+dengfen2*2
mubiao4y=mubiao4x*k2+b2+5
zhixianwai3(z4x,z4y,z3x,z3y)
dengfen3=abs(z2x-z1x)/3
mubiao6x=z4x+dengfen3
mubiao6y=mubiao6x*k3+b3-5
mubiao5x=z4x+dengfen3*2
mubiao5y=mubiao5x*k3+b3-5
zhixianwai4(z1x,z1y,z4x,z4y)
dengfen4=abs(z1x-z4x)/3
mubiao8x=z1x+dengfen4
mubiao8y=b4+mubiao8x*k4-5
mubiao7x=z1x+dengfen4*2
mubiao7y=b4+mubiao7x*k4-5
img.draw_cross(int(mubiao1x),int(mubiao1y), size=1, color=(255,0,0))
img.draw_cross(int(mubiao2x),int(mubiao2y), size=1, color=(255,0,0))
img.draw_cross(int(mubiao3x),int(mubiao3y), size=1, color=(255,0,0))
img.draw_cross(int(mubiao4x),int(mubiao4y), size=1, color=(255,0,0))
img.draw_cross(int(mubiao5x),int(mubiao5y), size=1, color=(255,0,0))
img.draw_cross(int(mubiao6x),int(mubiao6y), size=1, color=(255,0,0))
img.draw_cross(int(mubiao7x),int(mubiao7y), size=1, color=(255,0,0))
img.draw_cross(int(mubiao8x),int(mubiao8y), size=1, color=(255,0,0))
#print(i)
if (i==0):
mubx=z1x
muby=z1y
are1 = img.find_blobs(green,roi=(0,0,317,237),merge=True)
are0 = img.find_blobs(red,roi=(93,4,202,216),merge=True)
blobs1 = find_max(are1)
blobs0 = find_max(are0)
if(blobs0):
img.draw_rectangle(blobs0.rect(),color=(255,255,0))
print(flaghuan)
sending_data3(blobs0.cx(),blobs0.cy(),abs(int(mubx)),abs(int(muby)),0,0,0,0)
if(abs(blobs0.cx()-z3x)<=10):
flaghuan=1
if(abs(blobs0.cy()-z4y)<=5):
flaghuan=2
if(abs(blobs0.cx()-z1x)<=5):
flaghuan=0
if((abs(blobs0.cx()-mubx)<=3) and(abs(blobs0.cy()-muby)<=3)):
i=i+1
if((blobs0.cx()>z1x)and(blobs0.cx()<z2x-5)and(flaghuan==0)):
mubx=mubx+1
muby=mubx*k1+b1+5
if((blobs0.cx()>z2x-5)and(blobs0.cx()<z3x)and(flaghuan==0)):
mubx=mubx+1
muby=mubx*k2+b2+5
if((blobs0.cy()<=z4y+1)and(blobs0.cy()>=z3y-10)and(flaghuan==1)):
mubx=mubx-1
muby=mubx*k3+b3-5
if((blobs0.cy()<z4y+5)and(blobs0.cy()>z1y)and(flaghuan==2)):
mubx=mubx-1
muby=mubx*k4+b4-5
dian2x=blobs0.cx()
dian2y=blobs0.cy()
else :
dian2x=0
dian2y=0
if(blobs1):
img.draw_rectangle(blobs1.rect(),color=(255,255,0))
dian1x=blobs1.cx()
dian1y=blobs1.cy()
sending_data1(dian1x,dian1y,dian2x,dian2y,0,0,0,0)
print(dian1x,dian1y,dian2x,dian2y,0,0,0,0)
else:
dian2x=0
dian2y=0
作者:a2488220557