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genetic algorithm #35

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s459307 merged 1 commits from genetic into master 2022-06-10 01:32:45 +02:00
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1 changed files with 86 additions and 32 deletions
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main.py
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@ -1,6 +1,5 @@
import math
import random
import time
import pygame
import torch
import agent
@ -11,6 +10,7 @@ import neural_network
import settings
import tree
import shutup
import genetical_algorithm
possibleFields = {
'dirt': field.Dirt(),
@ -63,7 +63,6 @@ def randomize_map():
height = settings.Field.vertical_count()
for i in range(width):
for j in range(height):
# k = random.choice(list(possibleFields.keys()))
x = random.uniform(0, 100)
if x <= 80:
plant = random.choice(possibleFieldsWithPlants)
@ -120,14 +119,14 @@ def get_plants_array(fields):
return field_array_big
def recognize_plants(plants_array, fields_for_astar, fields_for_movement, agent):
def recognize_plants(plants_array, fields_for_astar, fields_for_movement, agent,fields_with_plants):
checkpoint = torch.load(f'plants.model')
model = neural_network.Net(num_classes=3)
model.load_state_dict(checkpoint)
model.eval()
img = ''
b=0
j=0
b = 0
j = 0
field_array_small = []
field_array_big = []
for i in range(11):
@ -149,12 +148,12 @@ def recognize_plants(plants_array, fields_for_astar, fields_for_movement, agent)
else:
pred = 'none'
field_array_small.append(pred)
print(i,',', j,'-',pred)
print(i, ',', j, '-', pred)
agent_movement(['f'], agent, fields_for_movement, fields_for_astar)
agent_movement(['r','f','r'], agent, fields_for_movement, fields_for_astar)
agent_movement(['r', 'f', 'r'], agent, fields_for_movement, fields_for_astar)
field_array_big.append(field_array_small)
else:
for j in range(10,-1,-1):
for j in range(10, -1, -1):
if plants_array[j][i] == 'carrot':
img = 'assets/learning/test/carrot/' + str(random.randint(1, 200)) + '.jpg'
pred = neural_network.prediction(img, model)
@ -170,28 +169,54 @@ def recognize_plants(plants_array, fields_for_astar, fields_for_movement, agent)
else:
pred = 'none'
field_array_small.append(pred)
print(i,',', j,'-',pred)
print(i, ',', j, '-', pred)
agent_movement(['f'], agent, fields_for_movement, fields_for_astar)
field_array_small = field_array_small[::-1]
field_array_big.append(field_array_small)
agent_movement(['l','f','l'], agent, fields_for_movement, fields_for_astar)
if b==0:
b=1
agent_movement(['l', 'f', 'l'], agent, fields_for_movement, fields_for_astar)
if b == 0:
b = 1
else:
b=0
b = 0
correct = 0
incorrect = 0
for i in range(11):
for j in range(11):
if plants_array[i][j]=='none':
if plants_array[i][j] == 'none':
continue
else:
if plants_array[i][j]==field_array_big[j][i]:
correct+=1
if plants_array[i][j] == field_array_big[j][i]:
correct += 1
else:
incorrect+=1
print("Accuracy: ",correct/(correct+incorrect)*100,'%')
incorrect += 1
print("Accuracy: ", correct / (correct + incorrect) * 100, '%')
cords = agent.coordinates()
x = cords['x']
y = cords['y']
dir = agent.get_direction()
state = astar.State(dir, x, y)
move_list = (
astar.graphsearch([], astar.f, [], [0, 0], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
draw_window(agent, fields_for_movement)
fuel = agent.get_tank_capacity()
water = agent.get_water()
feritizer = agent.get_feritizer()
seeds = agent.get_seeds()
carrots = agent.get_carrots()
potatoes = agent.get_potatoes()
wheat = agent.get_wheat()
print("fuel:", fuel, "water:", water, "feritizer:", feritizer, "seeds:", seeds, "carrots:", carrots,
"potatoes:", potatoes, "wheat:", wheat)
fuel, water, feritizer, seeds = genetical_algorithm.solution(fields_with_plants, 0)
agent.set_tank_capacity(fuel)
agent.set_water(water)
agent.set_feritizer(feritizer)
agent.set_seeds(seeds)
agent.set_carrots(0)
agent.set_potatoes(0)
agent.set_wheat(0)
def read_img(agent, fields):
@ -212,13 +237,15 @@ def read_img(agent, fields):
pygame.time.delay(2000)
common.set('state_imgShown', False)
def show_plant_img(img):
window = common.get('window')
image = pygame.image.load(img)
image = pygame.transform.scale(image, (11*settings.Field.size(), 11*settings.Field.size()))
window.blit(image,(0,0))
image = pygame.transform.scale(image, (11 * settings.Field.size(), 11 * settings.Field.size()))
window.blit(image, (0, 0))
pygame.display.update()
pygame.time.delay(2000)
pygame.time.delay(1000)
def agent_action(action: str):
if action == 'open_window':
@ -258,6 +285,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
width = settings.Field.horizontal_count()
height = settings.Field.vertical_count()
k = 0
visited = 0
for i in range(width):
for j in range(height):
if fields_with_plants[i][j] == 'potato_empty' or fields_with_plants[i][j] == 'carrot_empty' or \
@ -301,6 +329,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited+=1
fields_to_sow.append(field_to_visit)
fields_with_plants[x1][y1] = 'wheat_empty'
fields_for_movement[x1][y1] = possibleFields['wheat_empty'].tile.object
@ -313,6 +342,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_sow.append(field_to_visit)
fields_with_plants[x1][y1] = 'carrot_empty'
fields_for_movement[x1][y1] = possibleFields['carrot_empty'].tile.object
@ -325,6 +355,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_sow.append(field_to_visit)
fields_with_plants[x1][y1] = 'potato_empty'
fields_for_movement[x1][y1] = possibleFields['potato_empty'].tile.object
@ -343,6 +374,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_feritize.append(field_to_visit)
fields_with_plants[x1][y1] = 'wheat_watered'
fields_for_movement[x1][y1] = possibleFields['wheat_watered'].tile.object
@ -355,6 +387,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_feritize.append(field_to_visit)
fields_with_plants[x1][y1] = 'carrot_watered'
fields_for_movement[x1][y1] = possibleFields['carrot_watered'].tile.object
@ -367,6 +400,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_feritize.append(field_to_visit)
fields_with_plants[x1][y1] = 'potato_watered'
fields_for_movement[x1][y1] = possibleFields['potato_watered'].tile.object
@ -385,6 +419,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_harvest.append(field_to_visit)
fields_with_plants[x1][y1] = 'wheat_feritized'
fields_for_movement[x1][y1] = possibleFields['wheat_feritized'].tile.object
@ -397,6 +432,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_harvest.append(field_to_visit)
fields_with_plants[x1][y1] = 'carrot_feritized'
fields_for_movement[x1][y1] = possibleFields['carrot_feritized'].tile.object
@ -409,6 +445,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_harvest.append(field_to_visit)
fields_with_plants[x1][y1] = 'potato_feritized'
fields_for_movement[x1][y1] = possibleFields['potato_feritized'].tile.object
@ -427,6 +464,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_water.append(field_to_visit)
fields_with_plants[x1][y1] = 'wheat_sow'
fields_for_movement[x1][y1] = possibleFields['wheat_sow'].tile.object
@ -439,6 +477,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_water.append(field_to_visit)
fields_with_plants[x1][y1] = 'carrot_sow'
fields_for_movement[x1][y1] = possibleFields['carrot_sow'].tile.object
@ -451,6 +490,7 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
astar.graphsearch([], astar.f, [], [field_to_visit[0], field_to_visit[1]], state, fields_for_astar,
astar.succ))
agent_movement(move_list, agent, fields_for_movement, fields_for_astar)
visited += 1
fields_to_water.append(field_to_visit)
fields_with_plants[x1][y1] = 'potato_sow'
fields_for_movement[x1][y1] = possibleFields['potato_sow'].tile.object
@ -476,15 +516,20 @@ def generate_movement(fields_for_astar, fields_with_plants, fields_for_movement,
wheat = agent.get_wheat()
print("fuel:", fuel, "water:", water, "feritizer:", feritizer, "seeds:", seeds, "carrots:", carrots,
"potatoes:", potatoes, "wheat:", wheat)
agent.set_tank_capacity(1500)
agent.set_water(50)
agent.set_feritizer(50)
agent.set_seeds(50)
print("Visited fields: "+str(visited))
visited=0
if k < 4:
k+=1
else:
k=0
fuel,water,feritizer,seeds=genetical_algorithm.solution(fields_with_plants, k)
agent.set_tank_capacity(fuel)
agent.set_water(water)
agent.set_feritizer(feritizer)
agent.set_seeds(seeds)
agent.set_carrots(0)
agent.set_potatoes(0)
agent.set_wheat(0)
print("I'm in base")
time.sleep(10)
def get_closest_field(fields_to_visit, x, y, dir, fields_for_astar):
@ -525,12 +570,21 @@ def agent_movement(move_list, agent, fields, fields_2):
fuel -= 10
agent.set_tank_capacity(fuel)
draw_window(agent, fields)
time.sleep(0.5)
pygame.time.delay(300)
common = common.Instance()
agent = agent.Instance(1500, 2, 50, 50, 50, 0, 0, 0)
def genetical_algorithm_test(fields_3,agent):
fuel, water, feritizer, seeds = genetical_algorithm.solution(fields_3, 0)
agent.set_tank_capacity(fuel)
agent.set_water(water)
agent.set_feritizer(feritizer)
agent.set_seeds(seeds)
agent.set_carrots(0)
agent.set_potatoes(0)
agent.set_wheat(0)
def main():
common.set('game_running', True)
@ -545,7 +599,8 @@ def main():
fields, fields_2, fields_3 = randomize_map()
plants_array = get_plants_array(fields_3)
# neural_network.learn()
recognize_plants(plants_array, fields_2, fields,agent)
# recognize_plants(plants_array, fields_2, fields, agent,fields_3)
genetical_algorithm_test(fields_3,agent)
x = True
t = tree.treelearn()
while common.get('game_running'):
@ -560,7 +615,6 @@ def main():
if x:
generate_movement(fields_2, fields_3, fields, agent, t)
x = False
agent_action(agent.rotate(None))
agent_action(agent.move(None))