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祝各位别挂科
#黑白迷宫转换矩形（0,1）
from PIL import Image
srcImage = Image.open("test2.jpg")
grayImage = srcImage.convert('L')
binarizedImage = grayImage.point(lambda x: 0 if x<128 else 255, '1')
from PIL import Image
from scipy.ndimage import zoom
import numpy as np
srcImage = Image.open("test.jpg")
array = np.array(grayImage)
array = zoom(array, 40/40)
np.savetxt("binarized2.txt", array<128, fmt="%d",delimiter="")
#深度优先算法
import os
from collections import *
mp = []
for i in range(40):
mp.append(list(map(int, input())))
k = ('D', 'L', 'R', 'U')
dir = [(1, 0), (0, -1), (0, 1), (-1, 0)] # 标记方向
vis = [[0] * 50 for i in range(40)] # 标记走没走过
pre = [[''] * 50 for i in range(40)] # 记录怎么来到这个点的
def print_pass(x, y):
if x == 0 and y == 0:
return
if pre[x][y] == 'D': print_pass(x - 1, y)
if pre[x][y] == 'L': print_pass(x, y + 1)
if pre[x][y] == 'R': print_pass(x, y - 1)
if pre[x][y] == 'U': print_pass(x + 1, y)
print(pre[x][y], end="")
def bfs():
global pre
global vis
q = deque()
q.append((0, 0))
vis[0][0] = 1
while q:
now = q.popleft() # 删除q最左边的元素
if now[0] == 30 and now[1] == 39:
print_pass(30, 39)
return
for i in range(4):
next = [0, 0]
next[0] = now[0] + dir[i][0]
next[1] = now[1] + dir[i][1]
if next[0] < 0 or next[0] >= 40 or next[1] < 0 or next[1] >= 40:
continue
if vis[next[0]][next[1]] == 1 or mp[next[0]][next[1]] == 1:
continue
vis[next[0]][next[1]] = 1
q.append((next[0], next[1]))
pre[next[0]][next[1]] = k[i]
bfs()
