find flower path + add beehome.png at starting point + update tree

This commit is contained in:
s473594 2023-06-19 23:26:18 +02:00
parent 4ec50520f0
commit fdd3b40163
4 changed files with 3 additions and 260 deletions

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@ -4,3 +4,5 @@ numpy
scikit-learn
IPython
pydotplus
torch
tensorflow

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@ -1,259 +0,0 @@
import pygame
import random
#import Flower
import Beehive
import Frames
from GeneticAlgorithm import GA
from Field import Field, Neighbors
from queue import Queue
import heapq as h
from checkFlower import chek_flower
from PIL import Image
import os
def Manhattan_dis(start, end):
start_x, start_y = start
end_x, end_y = end
return abs(start_x - end_x) + abs(start_y - end_y)
def Make_path(start, end, previos):
path = [end]
while start not in path:
path.append(previos[path[-1]])
path.reverse()
return path
def A_star(field, start, end):
open = []
previous = {}
closed = set()
checked = set()
now = (0, start)
h.heappush(open, (0, start))
while len(open) > 0:
now = h.heappop(open)
if now[1] in closed:
continue
if now[1][0:2] == end:
path = Make_path(start, now[1], previous)
return path
closed.add(now[1])
checked.add(now[1][0:2])
for x in Neighbors(field, now[1]):
if x not in closed and x not in checked:
previous[x] = now[1]
if now[1][0:2] != x[0:2]:
added_cost = field[x[0], x[1]] + Manhattan_dis(x[0:2], end)
else:
added_cost = 0
h.heappush(open, (now[0] + added_cost, x))
checked.add(x)
white = (255, 255, 255)
#setting caption and icon
pygame.display.set_caption('Smart Bee')
setIcon = pygame.image.load('spritesNtiles/bee64.png')
pygame.display.set_icon(setIcon)
#
###
########################################
#SHORT = pygame.image.load('spritesNtiles/shortGrass64.png') #0
#TALL = pygame.image.load('spritesNtiles/tallGrass64.png') #1
#TREE = pygame.image.load('spritesNtiles/dirtTree64.png') #10
### tilemap
FLOWER = 0
SHORT = 1
TALL = 80
TREE = 100
BEE = pygame.image.load('spritesNtiles/bee64.png')
Directions = {
0 : 'north',
1 : 'east',
2 : 'south',
3 : 'west'
}
TREE_IMG_PATH = 'spritesNtiles/dirtTree64.png'
SHORT_IMG_PATH = 'spritesNtiles/shortGrass64.png'
TALL_IMG_PATH = 'spritesNtiles/tallGrass64.png'
tiles_types = {
SHORT: pygame.image.load('spritesNtiles/shortGrass64.png'),
TALL: pygame.image.load('spritesNtiles/tallGrass64.png'),
TREE: pygame.image.load('spritesNtiles/dirtTree64.png'),
FLOWER: pygame.image.load('ANN\\rdy-dataset\\test\\rose\\377277099_544769262c_c.jpg')
}
tilemapSizeX = 12
tilemapSizeY = 12
tileSize = 64
tilemap_types = []
for x in range(tilemapSizeX):
tilemap_types.append([])
for y in range(tilemapSizeY):
rr = random.choices([SHORT, TALL, FLOWER], weights=[0.5, 0.4, 0.1])[0]
tilemap_types[x].append(rr)
#example tilemap values
tilemap_values = []
SHORT_VALUE = 1
TALL_VALUE = 100
TREE_VALUE = 200
FLOWER_VALUE = 1
###
#calculate the window size
disX = tilemapSizeX * tileSize
disY = tilemapSizeY * tileSize
pygame.init()
dis = pygame.display.set_mode((disX, disY))
clock = pygame.time.Clock()
#position of the bee and pos changings
# Define parameters
flower_positions = [(flower_x, flower_y) for flower_x in range(tilemapSizeX) for flower_y in range(tilemapSizeY) if tilemap_types[flower_x][flower_y] == FLOWER]
generations = 10
# Create an instance of the GeneticAlgorithm class
ga = GA(10, generations,flower_positions, tilemap_types)
# Run the genetic algorithm
best_individual = ga.run()
print(best_individual)
# Retrieve the best tree arrangement from the best individual
tree_arrangement = best_individual
# Render the tilemap with the optimized tree positions
for x, y in tree_arrangement:
tilemap_types[x][y] = TREE
print(x,y)
for X in range(0, len(tilemap_types)):
tilemap_values.append([])
for Y in range(0, len(tilemap_types[X])):
if tilemap_types[X][Y] == SHORT: value = SHORT_VALUE
elif tilemap_types[X][Y] == TALL: value = TALL_VALUE
elif tilemap_types[X][Y] == TREE: value = TREE_VALUE
elif tilemap_types[X][Y] == FLOWER: value = FLOWER_VALUE
tilemap_values[X].append(value)
field = Field(tilemap_types, tilemap_values)
for X in range(tilemapSizeX):
for Y in range(tilemapSizeY):
if(tilemap_types[X][Y] == TREE):
field.set_image(X, Y, TREE_IMG_PATH)
elif(tilemap_types[X][Y] == TALL):
field.set_image(X, Y, TALL_IMG_PATH)
elif(tilemap_types[X][Y] == SHORT):
field.set_image(X, Y, SHORT_IMG_PATH)
elif(tilemap_types[X][Y] == FLOWER):
flower_type_num = random.randint(0, 5)
class_names = os.listdir("ANN\\dataset")
flower_type = class_names[flower_type_num]
field.set_flower_type(X, Y, flower_type)
selected_flower_list = os.listdir(f"ANN\\dataset\\{flower_type}\\")
flower_img = f"ANN\\dataset\\{flower_type}\\{random.choice(selected_flower_list)}"
field.set_image(X, Y, flower_img)
bee_dir = 'west'
while True:
bee_x = random.randint(0, tilemapSizeX-2)
bee_y = random.randint(0, tilemapSizeY-2)
if(field.get_type([bee_x, bee_y]) != TREE):
break
while True:
random_x = random.randint(0, tilemapSizeX-2)
random_y = random.randint(0, tilemapSizeY-2)
if(field.get_type([random_x, random_y]) != TREE):
break
path_A_star = A_star(field, (bee_x, bee_y, 3), (random_x, random_y))
check_path_A = []
for x in path_A_star:
if x[0:2] not in check_path_A:
check_path_A.append(x[0:2])
print(check_path_A)
print(len(check_path_A))
path = path_A_star
current_node = 0
step = 1
while True:
# check for events
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
quit()
bee_x, bee_y, bee_dir = path[current_node]
bee_dir = Directions[bee_dir]
# render the bee and the tilemap
dis.fill(white)
for x in range(tilemapSizeX):
for y in range(tilemapSizeY):
tile = tilemap_types[x][y]
surface = pygame.image.load(field.get_image((x, y)))
dis.blit(surface, (x * tileSize, y * tileSize))
# rotate and render the bee
if bee_dir == 'west':
bee_image = BEE
elif bee_dir == 'east':
bee_image = pygame.transform.rotate(BEE, 180)
elif bee_dir == 'north':
bee_image = pygame.transform.rotate(BEE, -90)
elif bee_dir == 'south':
bee_image = pygame.transform.rotate(BEE, 90)
dis.blit(bee_image, (bee_x * tileSize, bee_y * tileSize))
pygame.display.update()
clock.tick(5)
if(current_node + 1 == len(path)):
step *= -1
if(step == -1 and current_node == 0):
step *= -1
current_node += step

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